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Items where Subject is "Q Science > QA Mathematics > QA75 Electronic computers. Computer science" 


Group by: Authors  Item Type Number of items at this level: 194.
AAhmad, N. and Khan, Mohammad G.M. and Islam, S.F. (2012) Optimal allocation of testing resource for modular software based on testingeffort dependent software reliability growth. [Conference Proceedings] Ahmed, Shamsuddin (2013) Performance of a coordinate search ANN training algorithm. International Journal of General Systems, 42 (3). pp. 301329. ISSN 03081079 Alzyadat, Tariq and Praet, Stephan and Chetty, Girija and Goecke, Roland and Kumar, Dinesh and Welvaert, Marijke and Vlahovich, Nicole and Waddington, Gordon (2020) Automatic Segmentation of Achilles Tendon Tissues Using Deep Convolutional Neural Network. [Conference Proceedings] Ayoade, John (2007) Roadmap to solving security and privacy concerns in RFID systems. Computer Law and Security Review, 23 (6). pp. 555561. ISSN 02673649 BBali, Kavitesh and Chandra, Rohitash and Omidvar, M.N. (2015) Competitive island  based cooperative coevolution for efficient optimization of large  scale fully  separable continuous functions. In: Neural Information Processing. Lecture Notes in Computer Science, 9491 . Springer International Publishing, Switzerland, pp. 137147. ISBN 9783319265544 Bali , Kavitesh and Chandra, Rohitash (2015) Multi  island competitive cooperative coevolution for real parameter global optimization. In: Neural Information Processing. Lecture Notes in Computer Science, 9491 . Springer International Publishing, Istanbul, Turkey , pp. 127136. ISBN 9783319265544 Bali , Kavitesh and Chandra, Rohitash (2015) Scaling up multi  island competitive cooperative coevolution for real parameter global optimisation. In: AI 2015: Advances in Artificial Intelligence. Lecture Notes in Computer Science . Springer International Publishing, Switzerland, pp. 3448. ISBN 9783319263496 Baral, Sujata and Shatabda, Swakkhar and Rashid, Mahmood (2017) CycloAnt: sequencing cyclic peptides using hybrid ants. [Conference Proceedings] Bhushan, Bharath and Reddy, Pradeep and Subramanian, Dhenesh and Gao, X.Z. (2018) Systematic survey on evolution of cloud architectures. International Journal of Autonomous and Adaptive Communications Systems, 11 (1). TBC. ISSN 17548632 Bradley, M. and Cassez, F. and Fehnker, Ansgar and GivenWilson, T. and Huuck, R. (2012) High performance static analysis for industry. Electronic Notes in Theoretical Computer Science, 289 . pp. 314. ISSN 15710661 Bridges, D.S. and Havea, Robin S. (2008) Constructive notions of maximality for ideals. Journal of Universal Computer Science, 14 (22). pp. 36483657. ISSN 0948695x Bridges, D.S. and Havea, Robin S. (2012) Square roots and powers in constructive Banach algebra theory. [Conference Proceedings] CChand, Shelvin and Chandra, Rohitash (2014) Cooperative coevolution of feed forward neural networks for financial time series problem. [Conference Proceedings] Chand, Shelvin and Chandra, Rohitash (2014) Multi  objective cooperative coevolution of neural networks for time series prediction. [Conference Proceedings] Chand, Shelvin and Finiasi, Rona W. and Sharma, Bibhya N. and Jokhan, Anjeela D. (2015) SMSbased Classroom Assessments at the University of the South Pacific. [Conference Proceedings] Chand, Utesh and Sharma, Bibhya N. and Vanualailai, Jito (2009) Flocking in constrained environment: lane merging maneuvers. UNSPECIFIED. Chand, Vishal and Prasad, Avinesh and Chaudhary, Kaylash C. and Sharma, Bibhya N. and Chand, Samlesh (2021) A face  off  classical and heuristic  based path planning approaches. [Conference Proceedings] Chandra, Rohitash (2013) Adaptive problem decomposition in cooperative coevolution of recurrent networks for time series prediction. [Conference Proceedings] Chandra, Rohitash (2014) Competitive two  island cooperative coevolution for training Elman recurrent networks for time series prediction. [Conference Proceedings] Chandra, Rohitash (2014) Memetic cooperative coevolution of Elman recurrent neural networks. Soft Computing, 18 (8). pp. 15491559. ISSN 14327643 Chandra, Rohitash (2015) Multi  objective cooperative neuro  evolution of recurrent neural networks for time series prediction. [Conference Proceedings] Chandra, Rohitash and Bali , Kavitesh (2015) Competitive two  island cooperative coevolution for real parameter global optimisation. [Conference Proceedings] Chandra, Rohitash and Dayal, Kavina (2015) Coevolutionary recurrent neural networks for prediction of rapid intensification in wind intensity of tropical cyclones in the South Pacific region. In: Neural Information Processing. Lecture Notes in Computer Science, 9491 . Springer International Publishing, Switzerland, pp. 4352. ISBN 9783319265544 Chandra, Rohitash and Dayal, Kavina (2015) Cooperative neuro  evolution of Elman recurrent networks for tropical cyclone wind  intensity prediction in the South Pacific region. [Conference Proceedings] Chandra, Rohitash and Dayal, Kavina and Rollings , Nicholas (2015) Application of cooperative neuro  evolution of Elman recurrent networks for a two  dimensional cyclone track prediction for the South Pacific region. [Conference Proceedings] Chandra, Rohitash and Luc, R. (2015) Global – local population memetic algorithm for solving the forward kinematics of parallel manipulators. Connection Science, 27 . pp. 118. ISSN 09540091 Chandra, Rohitash and Wong, Gary (2015) Competitive two  island cooperative co  evolution for training feedforward neural networks for pattern classification problems. [Conference Proceedings] Chandra, Shaneel (2012) Conquering the oceanic divide: 12 centers one link – ICT. UNSPECIFIED. (Unpublished) Chaudhary, Kaylash C. (2017) Bitcoin Models  Standard and 2PPoW. UNSPECIFIED. (Unpublished) Chaudhary, Kaylash C. (2015) ServerSide Netpay Protocol Models. UNSPECIFIED. Chaudhary, Kaylash C. and Dai, Sharlene X. (2009) P2Pnetpay: an offline micropayment system for content sharing in P2Pnetworks. Journal of Emerging Technologies in Web Intelligence (JETWI), 1 (1). pp. 4654. ISSN 17980461 Chaudhary, Kaylash C. and Dai, Xiaoling and Grundy, John (2010) Experiences in developing a micro  payment system for peer  to  peer networks. International Journal of Information Technology and Web Engineering, 5 (1). pp. 2342. ISSN 15541045 Chaudhary, Kaylash C. and Fehnker, Ansgar (2015) Bitcoin Model. UNSPECIFIED. (Unpublished) Chaudhary, Kaylash C. and Fehnker, Ansgar (2016) Model Checking a ClientSide Micro Payment Protocol. [Conference Proceedings] Chaudhary, Kaylash C. and Fehnker, Ansgar (2015) Model checking a server  side micro payment protocol. In: Formal Methods for Industrial Critical Systems. Lecture Notes in Computer Science, 9128 . Springer International Publishing, Switzerland, pp. 96110. ISBN 9783319194578 Chaudhary, Kaylash C. and Fehnker, Ansgar and Dai, Xiaoling (2014) Modeling and verification for the serverside Netpay protocol. [Conference Proceedings] Chaudhary, Kaylash C. and Fehnker, Ansgar and Mehta, Vinay P. (2017) Modelling, Verification, and Comparative Performance Analysis of the B.A.T.M.A.N. Protocol. [Conference Proceedings] Chaudhary, Kaylash C. and Fehnker, Ansgar and van de Pol, Jaco and Stoelinga, Marielle (2015) Modeling and verification of the Bitcoin protocol. [Conference Proceedings] Chen, Shan and Williams, MaryAnne (2013) Grounding PrivacybyDesign for Information Systems. [Conference Proceedings] DDai, Sharlene X. and Baran, D. (2007) A prototype of accountbased payment MCOM system in mcommerce. International Review on Computers and Software (IRECOS), 2 (5). pp. 527533. ISSN 18286003 Dai, Sharlene X. and Chaudhary, Kaylash C. and Grundy, J. (2007) Comparing and contrasting micropayment models for content sharing in P2P networks. IEEE Computer Society. Dai, Sharlene X. and Grundy, J. (2005) Integrating Netpay micropayment facilities into an existing web application. GESTS International Transaction on Computer Science and Engineering, 3 (1). pp. 3748. ISSN 17386438 Dai, Sharlene X. and Grundy, J. (2007) Netpay: an offline, decentralized micropayment system for thinclient applications. Electronic Commerce Research and Applications, 6 (1). pp. 91101. ISSN 15674223 Dai, Sharlene X. and Grundy, J. (2005) Offline micropayment system for content sharing in P2P networks. Springer. Dai, Sharlene X. and Grundy, J. (2004) Three integration methods for a componentbased netpay vendor system. Springer, Department of Mathematics and Computing Science The University of the South Pacific, Laucala Campus, Suva and Department of Computer Science2 and Department of Electrical and Electronic Engineering3University of Auckland. Dai, Sharlene X. and Grundy, J. (2004) Three kinds of ewallets for a netpay micropayment system. Springer, Department of Mathematics and Computing Science, The University of the South Pacific, Laucala Campus, Suva and Department of Computer Science2 and Department of Electrical and Electronic Engineering3 University of Auckland. Delaney, Aidan and Downey, Allen B and Sisodiya, Narendra and Chatterjee, P (2018) Pasifica C++. selfpublished, http://phoric.eu/PasifikaCpp/. Deo, Ratneel and Chandra, R. (2016) Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind  intensity prediction. [Conference Proceedings] Deo, Sarnesh and Chaudhary, Kaylash C. and Sharma, Bibhya N. (2021) Student background: an invaluable player for academic success. [Conference Proceedings] FFehnker, Ansgar and Chaudhary, Kaylash C. (2012) Modeling and verification for the micropayment protocol netpay. [Conference Proceedings] Fehnker, Ansgar and Chaudhary, Kaylash C. (2018) Twenty Percent and a Few Days–Optimising a Bitcoin Majority Attack. In: NASA Formal Methods. Lecture Notes in Computer Science . Springer, Switzerland, pp. 157163. ISBN 9783319779348 Fehnker, Ansgar and Chaudhary, Kaylash C. and Mehta, Vinay P. (2018) An Even Better Approach – Improving the B.A.T.M.A.N. Protocol Through Formal Modelling and Analysis. In: NASA Formal Methods. Programming and Software Engineering (part of LNC Series), 10811 . Springer, Switzerland, pp. 164178. ISBN 9783319779348 Fehnker, Ansgar and Huuck, R. (2013) Model checking driven static analysis for the real world: designing and tuning large scale bug detection. Innovations in Systems and Software Engineering, 9 (1). pp. 4556. ISSN 16145046 Fehnker, Ansgar and Höfner, P. and Kamali, M. and Mehta, Vinay P. (2013) Topology  based mobility models for wireless networks. [Conference Proceedings] Fehnker, Ansgar and van Glabbeek, R.J. and Hoefner, P. and McIver, A. and Portmann, M. and Tan, W.L. (2012) Automated analysis of AODV using UPPAAL. [Conference Proceedings] Fehnker, Ansgar and van Glabbeek, R.J. and Hofner, P. and Mclver, A. and Portmann, M. and Tan, W.L. (2012) A process algebra for wireless mesh networks. [Conference Proceedings] Finiasi, Rona W. and Sharma, Bibhya N. and Chand, Shelvin and Prasad, Shirleen S. (2015) Exploration of Mobile Technology: Transforming Learning and Services in the Pacific Region. [Conference Proceedings] GGaur, Loveleen and Afaq, Anam and Solanki, Arun and Singh, Gurmeet and Sharma, Shavneet and Jhanjhi, N.Z. and My, Hoang T. and Le, DacNhuong (2021) Capitalizing on big data and revolutionary 5G technology: extracting and visualizing ratings and reviews of global chain hotels. Computers & Electrical Engineering, 95 . NA. ISSN 00457906 Gupta, Surendra (2007) A transshipment problem with random demands. [Conference Proceedings] HHofner, P. and van Glabbeek, R.J. and Tan, W.L. and Portmann, M. and McIver, A. and Fehnker, Ansgar (2012) A rigorous analysis of AODV and its variants. [Conference Proceedings] Hussein, Shamina and Chandra, Rohitash and Sharma, Anuraganand (2016) Multistepahead chaotic time series predication using coevolutionary recurrent neural networks. [Conference Proceedings] JJunker, M. and Huuck, R. and Fehnker, Ansgar and Knapp, A. (2012) SMT  based false positive elimination in static program analysis. [Conference Proceedings] KKarunanayaka, S. P. and Naidu , Som and Rajendra, J. C. N. and Ariadurai, S. A. (2018) Designing a continuing professional development MOOC on OER and OEP. Open Praxis, 10 (2). pp. 179190. ISSN 2304070X Khan, Mohammad G.M. and Ahmad, N. and Prasad, V D. (2012) Optimal compromise allocation in two  stage and stratified two  stage sampling design for multivariate study. Journal of Applied Statistical Science, 20 (2). pp. 187197. ISSN 10675817 Khan, Mohammad G.M. and Ahmad, Nesar and Naz, Rafia (2008) Optimal testing resource allocation for modular software based on a software reliability growth model: a dynamic programming approach. [Conference Proceedings] Khan, Mohammad G.M. and Rao, Dinesh K. and Ansari, A.H. and Ahsan, M.J. (2014) Determining optimum strata boundaries and sample sizes for skewed population using lognormal distribution. Communications in Statistics: Simulation and Computation, 44 (5). pp. 13641387. ISSN 03610918 Kimata, James D and Khan, Mohammad G.M. and Paul, Thomas M. (2015) Forecasting exchange rate of Solomon Islands dollar against Euro using artificial neural network,. [Conference Proceedings] Kimata, James D and Khan, Mohammad G.M. and Sharma, Anuraganand and Rashid, Mahmood and Tekabu, Tokaua (2019) Forecasting of Currency Exchange Rate Using Artificial Neural Network: A Case Study of Solomon Island Dollar. In: PRICAI 2019: Trends in Artificial Intelligence. Springer Nature, Switzerland, pp. 729733. ISBN 9783030298937 Kishore, Rahul R. and Narayan, Shalvin S. and Lal, Sunil P. and Rashid, Mahmood (2016) Comparative Accuracy of Different Classification Algorithms for Forest Cover Type Prediction. [Conference Proceedings] Kumar, Amit and Assaf, Mansour and Mehta, Utkal V. (2017) Real time classification of American sign language for finger spelling purpose. In: Internet of Vehicles – Technologies and Services. Lecture Notes in Computer Science, 10036 . Springer, Switzerland, pp. 128137. ISBN 9783319519685 Kumar, Dinesh and Hussein, Imtiyaz (2006) Mathematical Modeling for Facial Expressions using FACS. UNSPECIFIED. (Unpublished) Kumar, Dinesh and Sharma, Dharmendra P. (2020) Deep Learning for Drawing Insights from Patient Data for Diagnosis and Treatment. In: Artificial Intelligence Applications in Healthcare Delivery. Routledge, United Kingdom. ISBN 9780367321512 Kumar, Dinesh and Sharma, Dharmendra P. (2019) Deep Learning in Gene Expression Modeling. In: Handbook of Deep Learning Applications. Smart Innovation, Systems and Technologies, 136 . Springer Nature, Cham, Switzerland, pp. 363383. ISBN 9783030114794 Kumar, Dinesh and Sharma, Dharmendra P. (2020) Distributed Information Integration in Convolutional Neural Networks. [Conference Proceedings] Kumar, Dinesh and Sharma, Dharmendra P. (2019) Enhanced waters 2D muscle model for facial expression generation. [Conference Proceedings] Kumar, Dinesh and Sharma, Dharmendra P. (2020) Multimodal Information Extraction and Fusion with Convolutional Neural Networks. [Conference Proceedings] Kumar, Dinesh and Sharma, Dharmendra P. and Goecke, Roland (2020) Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks. [Conference Proceedings] Kumar, Dinesh and Sharma., Dharmendra (2021) Feature Map Upscaling to Improve Scale Invariance in Convolutional Neural Networks. [Conference Proceedings] Kumar, Dinesh and Zhenquan, Li (2006) Implementation of an Adaptive TwoDimensional Mesh Refinement Method Based on the Law of Mass Conservation. UNSPECIFIED. (Unpublished) Kumar, Krishan and Sharma, Bibhya N. and Khan, Gavin J. and Nusair, Salsabil A. and Nair, Sunaina (2020) Using Peer Assessments for Formative Assessments in Large Online Classes. In: Teaching and Learning with Technology: Pushing boundaries and breaking down walls. USP Press, Suva, Fiji, pp. 6792. ISBN 9789820109988 Kumar, Pinky and Rashid, Mahmood (2018) Crowdsourcing Based Social Awareness for Taboo Diseases Like HIV/AIDS. [Conference Proceedings] Kumar, R. R. and Sharma, Krishneel K. and Assaf, Mansour and Sharma, Bibhya N. and Naidu , Som (2019) Development of an assistive tongue drive system for disabled individuals. In: PRICAI 2019: Trends in Artificial Intelligence. Lecture Notes in Computer Science . Springer, Switzerland, pp. 506511. ISBN 9783030298937 Kumar, Raneel and Chand, Krishnil and Lal, Sunil P. (2014) Gene Reduction for Cancer Classification using Cascaded Neural Network with Gene Masking. In: Advances in Artificial Intelligence. Lecture Notes in Computer Science, 8436 . Springer, Heidelberg, pp. 301306. ISBN 9783319064826 Kumar, Raneel and Sharma, Bibhya N. and Rao, Varunesh and Jokhan, Anjeela D. (2015) Introduction of Tablet Learning in the Pacific Region. [Conference Proceedings] Kumar, Sandeep A. and Vanualailai, Jito (2017) A Lagrangian UAV Swarm formation suitable for monitoring exclusive economic zone and for search and rescue. [Conference Proceedings] Kumar, Sandeep A. and Vanualailai, Jito and Sharma, Bibhya N. (2015) Lyapunov  based control for a swarm of planar nonholonomic vehicles. Mathematics in Computer Science, 9 (4). pp. 461475. ISSN 16618270 Kumar, Sandeep A. and Vanualailai, Jito and Sharma, Bibhya N. and Prasad, Avinesh (2021) Velocity controllers for a swarm of unmanned aerial vehicles. Journal of Industrial Information Integration, 22 . NA. ISSN 2452414X Kumar, Shiu and Mamun, Kabir and Sharma, Alokanand (2017) CSPTSM: optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MIBCI. Computers in Biology and Medicine, 91 . pp. 231242. ISSN 00104825 LLakshmanna, K. and Kaluri, R. and Reddy, G.T. and Nagaraja, G. and Subramanian, Dhenesh V. (2016) An enhanced algorithm for frequent pattern mining from biological sequences. International Journal of Pharmacy and Technology, 8 (2). pp. 1277612784. ISSN 0975766X Li, Zhenquan (2006) Further investigation of an adaptive threedimensional mesh refinement method with a central vortex velocity field. [Conference Proceedings] Li, Zhenquan (2007) Further investigation of an adaptive threedimensional mesh refinement method with a central vortex velocity field. ICCES Committee, Miami. Li, Zhenquan (2006) Mass conservative computer modeling in fluid engineering. [Conference Proceedings] Li, Zhenquan (2007) An adaptive threedimensional mesh refinement method based on the law of mass conservation. Journal of Flow Visualization and Image Processing, 14 (4). pp. 375395. ISSN 10653090 Li, Zhenquan (2005) An adaptive threedimensional mesh refinement method for the problems in fluid engineering. [Conference Proceedings] Li, Zhenquan (2004) An adaptive twodimensional mesh refinement method for the problems in fluid engineering. [Conference Proceedings] Lopez, Yosvany and Kamola, P.J. and Sharma, Ronesh and Shigemizu, Daichi and Tsunoda, Tatsuhiko and Sharma, Alokanand (2018) Computational pipelines and workflows in bioinformatics. In: Encyclopaedia of Bioinformatics and Computational Biology. Elsevier, Oxford, pp. 113134. ISBN 9780128114148 MMehta, Utkal V. (2013) Fast fourier transform for estimating process frequency response. [Conference Proceedings] Mehta, Utkal V. (2013) Relay feedback process identification: exact analysis in time domain. LAP LAMBERT Academic Publishing, Germany. ISBN 9783659358913 Mugisha, Emmy and Ogwang, Bob and Ongoma, Victor and Zhang, Gongxuan (2015) A secured automatic notification system based on short message service. International Journal for Information Security Research, 5 (1). pp. 546550. ISSN 20424639 NNand, Ravneil (2016) Neuron  synapse level problem decomposition method for cooperative coevolution of recurrent networks for time series prediction. [Conference Proceedings] Nand, Ravneil and Chandra, Rohitash (2016) Coevolutionary feature selection and reconstruction in neuro  evolution for time series prediction. In: Artificial Life and Computational Intelligence. Springer International Publishing, Switzerland, pp. 285297. ISBN 9783319282695 Nand, Ravneil and Chandra, Rohitash (2016) Competitive island cooperative neuro  evolution of feedforward networks for time series prediction. In: Artificial Life and Computational Intelligence. Lecture Notes in Computer Science, 9592 . Springer International Publishing, Switzerland, pp. 285297. ISBN 9783319282695 Nand, Ravneil and Chandra, Rohitash (2015) Neuron  synapse level problem decomposition method for cooperative neuro  evolution of feedforward networks for time series prediction. In: Neural Information Processing. Lecture Notes in Computer Science . Springer International Publishing, Switzerland, pp. 90100. ISBN 9783319265544 Nand, Ravneil and Chandra, Rohitash (2016) Reverse neuron level decomposition for cooperative neuro  evolution of feedforward networks for time series prediction. In: Artificial Life and Computational Intelligence. Lecture Notes in Computer Science, 9592 . Springer International Publishing, Switzerland, pp. 171182. ISBN 9783319282695 Nand, Ravneil and Chaudhary, Kaylash C. and Sharma, Bibhya N. (2020) Stepping ahead based hybridization of meta  heuristic model for solving global optimization problems. [Conference Proceedings] Nand, Ravneil and Naseem, Mohammed and Reddy, Emmenual and Sharma, Bibhya N. (2017) Combinational problem decomposition method for Cooperative Coevolution of Recurrent Networks for Time Series Prediction. [Conference Proceedings] Nand, Ravneil and Reddy, Emmenual and Naseem, Mohammed (2016) Neuron  network level problem decomposition method for cooperative coevolution of recurrent networks for time series prediction. In: Neural Information Processing. Springer International Publishing, Cham, pp. 3848. ISBN 9783319466743 Nand, Ravneil and Sharma, Anuraganand (2019) Metaheuristic approaches to tackle Skill Based Group allocation of Students in Project Based Learning Courses. [Conference Proceedings] Nand, Ravneil and Sharma, Anuraganand and Reddy, Karuna G. (2018) SkillBased Group Allocation of Students for ProjectBased Learning Courses Using Genetic Algorithm: Weightless Penalty Model. [Conference Proceedings] Nand, Ravneil and Sharma, Anuraganand and Reddy, Karuna G. (2018) SkillBased Group Allocation of Students for ProjectBased Learning Courses using Genetic Algorithm: Weighted Penalty Model. [Conference Proceedings] Nand, Ravneil and Sharma, Bibhya N. (2017) Modified NeuronSynapse level problem decomposition method for Cooperative Coevolution of Feedforward Networks for Time Series Prediction. [Conference Proceedings] Nand, Ravneil and Sharma, Bibhya N. and Chaudhary, Kaylash C. (2021) Stepping ahead Firefly Algorithm and hybridization with evolution strategy for global optimization problems. Applied Soft Computing, 109 . NA. ISSN 15684946 Nand, Ravneil and Sharma, Priynka (2019) Iteration split with Firefly Algorithm and Genetic Algorithm to solve multidimensional knapsack problems. [Conference Proceedings] Naseem, Mohammed and Chaudhary, Kaylash C. and Sharma, Bibhya N. and Lal, Aman (2020) Using ensemble decision tree model to predict student dropout in computing science. [Conference Proceedings] PPrakash, Surya (2018) Estimating Freight Movements using Dijkstra’s Algorithm. [Conference Proceedings] Prasad, Acklesh and Finau, Glen and Samuwai, Jale and Prasad, Biman C. and Green, P. (2013) On facilitating regional integration and economic development with collaborative technologies in the South Pacific. Pacific Asia Journal of the Association for Information Systems, 5 (2). pp. 2337. Prasad, Acklesh and Green, P. and Heales, J. and Finau, Glen (2012) Leveraging value within ITbacked collaborative alliances. [Conference Proceedings] Prasad, Acklesh and Green, P. and Heales, J. and Finau, Glen (2013) On structural considerations for governing the Cloud. [Conference Proceedings] Prasad, Alvin and Chaudhary, Kaylash C. (2021) Interactive Animation and Affective Teaching and Learning in Programming Courses. In: Advances in Computer, Communication and Computational Sciences. Advances in Intelligent Systems and Computing. Springer Nature, Singapore, pp. 613623. ISBN 9789811544088 Prasad, Avinesh and Sharma, Bibhya N. and Vanualailai, Jito (2012) Motion control of a 2  link revolute manipulator in an obstacle  ridden workspace. [Conference Proceedings] Prasad, Avinesh and Sharma, Bibhya N. and Vanualailai, Jito (2014) A Simple Approach to Motion Control of a ThreeDimensional Articulated Manipulator Arm. [Conference Proceedings] Prasad, Avinesh and Sharma, Bibhya N. and Vanualailai, Jito (2018) Strategic placement of landmarks for parking and obstacle avoidances in a partially known environment. UNSPECIFIED. Prasad, Avinesh and Sharma, Bibhya N. and Vanualailai, Jito (2016) A geometric approach to motion control of a standard tractor  trailer robot. [Conference Proceedings] Prasad, Avinesh and Sharma, Bibhya N. and Vanualailai, Jito (2016) A new stabilizing solution for motion planning and control of multiple robots. Robotica, 34 (5). pp. 10711089. ISSN 02635747 Prasad, Avinesh and Sharma, Bibhya N. and Vanualailai, Jito and Kumar, Sandeep A. (2020) Stabilizing controllers for landmark navigation of planar robots in an obstacle  ridden workspace. Journal of Advanced Transportation, NA . NA. ISSN 01976729 Prasad, Avinesh and Sharma, Bibhya N. and Vanualailai, Jito and Kumar, Sandeep A. (2020) A geometric approach to target convergence and obstacle avoidance of a nonstandard tractortrailer robot. International Journal of Robust and Nonlinear Control, TBC (TBC). TBC. ISSN 10498923 Prasad, Navneel and Singh, Rajeshni and Lal, Sunil P. (2013) Comparison of Back Propagation and Resilient Propagation Algorithm for Spam Classification. [Conference Proceedings] Prasad, Shaneel and Rao, Dinesh K. and Raturi, Shikha (2021) Predicting eLearning Readiness Model: A Case Study of Fiji's Secondary School Science Teachers. International Journal on ELearning , 20 ( 1 ). 1745 . ISSN 15372456 QQiokata, Viliame and Khan, Mohammad G.M. (2015) Modeling emigration of Fiji's population using Artificial Neural Network. [Conference Proceedings] RRaghuwaiya, Krishna and Sharma, Bibhya N. and Vanualailai, Jito and Parma, Nand (2018) Path following of autonomous agents under the effect of noise. In: Advances in Swarm Intelligence: ICSI 2018. Lecture Notes in Computer Science . Springer, Cham, pp. 314. ISBN 9783319938172 Raghuwaiya, Krishna and Vanualailai, Jito and Raj, Jai (2020) 3D cylindrical obstacle avoidance using the minimum distance technique. In: Advances in Computer, Communication and Computational Sciences. Advances in Intelligent Systems and Computing. Springer Nature, Singapore, pp. 199208. ISBN 9789811544088 Rahman, Absar A. and Saleem, Waleed and Iyer, Vani V. (2019) Driving behavior profiling and prediction in KSA using smart phone sensors and MLAs. [Conference Proceedings] Raj, Jai and Raghuwaiya, Krishna and Sharma, Bibhya N. and Vanualailai, Jito (2021) Motion control of a flock of 1  trailer robots with swarm avoidance. Robotica, NA . pp. 126. ISSN 02635747 Raj, Jai and Raghuwaiya, Krishna and Vanualailai, Jito (2020) Collision avoidance of 3D rectangular planes by multiple cooperating autonomous agents. Journal of Advanced Transportation, NA . NA. ISSN 01976729 Raj, Jai and Raghuwaiya, Krishna and Vanualailai, Jito (2020) Novel Lyapunov  based autonomous controllers for Qquadrotors. IEEE Access, 8 . pp. 4739347406. ISSN 21693536 Raj, Jai and Raghuwaiya, Krishna and Vanualailai, Jito and Sharma, Bibhya N. (2019) Navigation of car  like robots in three  dimensional space. [Conference Proceedings] Raj, Jai and Raghuwaiya, Krishna and Vanualailai, Jito and Sharma, Bibhya N. (2020) Path planning of multiple mobile robots in a dynamic 3D environment. In: Advances in Computer, Communication and Computational Sciences. Advances in Intelligent Systems and Computing. Springer Nature, Singapore, pp. 209219. ISBN 9789811544088 Rao, Dinesh K. and Khan, Mohammad G.M. and Reddy, Karuna G. (2014) Optimum stratiﬁcation of a skewed population. World Academy of Science, Engineering and Technology International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, 8 (3). pp. 492495. ISSN 2010376X Rashid, Mahmood and Iqbal, Sumaiya and Khatib, Firas and Hoque, Md Tamjidul and Sattar, Abdul (2016) Guided macromutation in a graded energy based genetic algorithm for protein structure prediction. Computational Biology and Chemistry , 61 . 162  177. ISSN 14769271 Rashid, Mahmood and Khatib, F. and Hoque, T. and Sattar, A. (2015) An enhanced genetic algorithm for Ab initio protein structure prediction. IEEE Transactions on Evolutionary Computation, PP (99). NANA. ISSN 1089778X Reddy, Emmenual and Sharma, Bibhya N. (2018) Mobile Learning Perception and Attitude of Secondary School Students in the Pacific Islands. [Conference Proceedings] Reddy, Hamendra M. and Onwubolu, Godfrey C. and Chand, Utesh and Sharma, Bibhya N. (2004) Distributed processing architecture for implementing stable nonlinear controllers of mobile robots. UNSPECIFIED. Reddy, Karuna and Khan, Mohammad G.M. (2020) stratifyR: An R Package for optimal stratification and sample allocation for univariate populations. Australian and New Zealand Journal of Statistics, 62 (3). pp. 383405. ISSN 13691473 Reddy, Karuna G. and Khan, Mohammad G.M. and Rao, Dinesh K. (2014) Computing optimal stratum boundaries for multivariate surveys. [Conference Proceedings] Reddy, Pritika and Chaudhary, Kaylash C. and Sharma, Bibhya N. and Chand, Ronil (2021) Digital literacy: a catalyst for the 21st century education. [Conference Proceedings] Reddy, Pritika and Chaudhary, Kaylash C. and Sharma, Bibhya N. and Chand, Ronil (2021) The two perfect scorers for technology acceptance. Education and Information Technologies, 26 . pp. 15051526. ISSN 13602357 SSaini, Harsh and Raicar, Gaurav and Lal, Sunil P. and Dehzangi, A. and Lyons, J. and Paliwal, K.K. and Imoto, S. and Miyano, S. and Sharma, Alokanand (2014) Genetic algorithm for an optimized weighted voting scheme incorporating kseparated bigram transition probabilities to improve protein fold recognition. [Conference Proceedings] Saini, Harsh and Raicar, Gaurav and Lal, Sunil P. and Dehzangi, A. and Sharma, Alokanand (2015) Subcellular localization for Gram Positive and Gram Negative Bacterial Proteins using Linear Interpolation Smoothing Model. Journal of Theoretical Biology, 386 . pp. 2533. ISSN 00225193 Saini, Harsh and Raicar, Gaurav and Lal, Sunil P. and Dehzangi, Abdollah and Imoto, S. and Sharma, Alokanand (2016) Protein fold recognition using genetic algorithm optimized voting scheme and profile bigram. Journal of Software, 11 (8). pp. 756767. ISSN 1796217X Saini, Harsh and Raicar, Gaurav and Sharma, Alokanand and Lal, Sunil P. and Dehzangi, A. and Lyons, J. and Paliwal, K.K. and Imoto, S. and Miyano, S. (2015) Probabilistic expression of spatially varied amino acid dimers into general form of Chou's pseudo amino acid composition for protein fold recognition. Journal of Theoretical Biology, 380 . pp. 291298. ISSN 00225193 Sharma, Adarsh K. and Prasad, Vishal and Kumar, Roneel and Sharma, Anuraganand (2018) Analysis on the occurrence of Tropical Cyclone in the South Pacific Region using recurrent Neural Network with LSTM. [Conference Proceedings] Sharma, Alokanand and Paliwal, K.K. (2007) Detecting masquerades using a combination of Naïve Bayes and weighted RBF approach. Journal in Computer Virology, 3 (3). pp. 237245. ISSN 17729904 Sharma, Alokanand and Paliwal, K.K. (2007) Fast principal component analysis using fixedpoint algorithm. Pattern Recognition Letters, 28 (10). pp. 11511155. ISSN 01678655 Sharma, Alokanand and Pujari, A.K. and Paliwal, K.K. (2007) Intrusion detection using text processing techniques with a Kernel based similarity measure. Computers and Security, 26 (7 & 8). pp. 488495. ISSN 01674048 Sharma, Anuraganand (2015) Analysis of evolutionary operators for ICHEA in solving constraint optimization problems. [Conference Proceedings] Sharma, Anuraganand (2018) Guided Stochastic Gradient Descent Algorithm for inconsistent datasets. Applied Soft Computing, 73 . 1068  1080. ISSN 15684946 Sharma, Anuraganand (2021) Guided parallelized stochastic gradient descent for delay compensation. Applied Soft Computing, 102 . NA. ISSN 15684946 Sharma, Anuraganand (2020) Optimistic Variants of SingleObjective Bilevel Optimization for Evolutionary Algorithms. International Journal of Computational Intelligence and Applications, 19 . pp. 20500201. ISSN 14690268 Sharma, Anuraganand (2010) A new optimizing algorithm using reincarnation concept. [Conference Proceedings] Sharma, Anuraganand and Omlin, Christian W. (2009) Performance comparison of particle swarm optimization with traditional clustering algorithms used in self organizing map. International Journal of Computational Intelligence, 5 (1.1). pp. 112. ISSN 13044508 Sharma, Anuraganand and Onwubolu, Godfrey C. (2009) Hybrid particle swarm optimization and GMDH system. In: Hybrid SelfOrganizing Modeling Systems. Studies in Computational Intelligence, 211 . Springer Berlin Heidelberg, Berlin Heidelberg, pp. 193231. ISBN 9783642015298 Sharma, Anuraganand and Onwubolu, Godfrey C. and Dayal, Ashwin and Bhartu, Deepak and Shankar, Amal and Katafono, Kenneth (2008) Hybrid particle swarm optimization and group method of data handling for inductive modeling. [Conference Proceedings] Sharma, Anuraganand and Sharma, D.P. (2011) Clonal selection algorithm for classification. In: Artificial Immune Systems. Lecture Notes in Computer Science, 6825 . Springer Berlin Heidelberg, Berlin, pp. 361370. ISBN 9783642223709 Sharma, Anuraganand and Sharma, D.P. (2012) ICHEA for discrete constraint satisfaction problems. In: Advances in Artificial Intelligence. Lecture Notes in Computer Science, 7691 . Springer Berlin Heidelberg, Berlin, pp. 242253. ISBN Print 9783642351006 Online 9783642351013 Sharma, Anuraganand and Sharma, Dharmendra P. (2013) Constraint optimization for timetabling problems using a constraint driven solution model. [Conference Proceedings] Sharma, Anuraganand and Sharma, Dharmendra P. (2012) ICHEA – a constraint guided search for improving evolutionary algorithms. [Conference Proceedings] Sharma, Anuraganand and Sharma, Dharmendra P. (2012) Real  valued constraint optimization with ICHEA. [Conference Proceedings] Sharma, Anuraganand and Sharma, Dharmendra P. (2012) Solving dynamic constraint optimization problems using ICHEA. [Conference Proceedings] Sharma, Anuraganand and Sharma, Dharmendra P. (2012) An incremental approach to solving dynamic constraint satisfaction problems. [Conference Proceedings] Sharma, Bibhya N. and Chand, Utesh and Vanualailai, Jito (2009) Tunnel passing maneuvers of multi  agents in formation. UNSPECIFIED. Sharma, Bibhya N. and Fonolahi, Aluwesi V. and Bali, Akeshnil and Narayan, Swasti S. (2018) The online mathematics diagnostic tool for transformative learning in the Pacific. In: Cases on Smart Learning Environments. IGI Global, Pennsylvania, USA. ISBN 9781522561361; EISBN: 9781522561378 Sharma, Bibhya N. and Singh, Shaveen and Prasad, Vijay and Hussain, Rihana and Togavou, Vilitati and Sovakiwai , Paula and Rawaico, Iva (2014) Computer Studies  A Textbook for Year 12. Ministry of Education, Suva, Fiji Islands. Sharma, Bibhya N. and Singh, Shaveen and Prasad, Vijay and Sovakiwai , Paula and Hussain , Rihana (2013) Computer Studies  A Textbook for Year 11. Ministry of Education, Suva, Fiji Islands. Sharma, Bibhya N. and Singh, Shonal and Vanualailai, Jito and Prasad, Avinesh (2018) Globally rigid formation of nlink doubly nonholonomic mobile manipulators. Robotics and Autonomous Systems, TBC . TBC . ISSN 09218890 Sharma, Bibhya N. and Vanualailai, Jito and Prasad, A. (2012) Dual  formation control of multiple 2  link mobile manipulators. UNSPECIFIED. Sharma, Bibhya N. and Vanualailai, Jito and Rai, R. (2012) Lane Changing/Merging Manuevers of Platoons via a Split/Merge Strategy. UNSPECIFIED. (Unpublished) Sharma, Bibhya N. and Vanualailai, Jito and Singh, S. (2014) Formation Control of a Team of nLink Doubly Nonholonomic Mobile Manipulators. UNSPECIFIED. (Unpublished) Sharma, Dharmendra P. (1987) Computer based moment methods for modelling polymodal marine populations. The University of the South Pacific. Sharma, Priynka and Chaudhary, Kaylash and Khan, Mohammad G.M. (2021) The Art  of  Hyper  Parameter Optimization with Desirable Feature Selection: optimizing for multiple objectives: ransomware anomaly detection. In: Lecture Notes in Electrical Engineering. Springer Nature, Singapore. ISBN 9789811638794 Sharma, Priynka and Chaudhary, Kaylash C. (2021) Evaluating the Malware threat cases in Fiji 2020. [Conference Proceedings] Sharma, Priynka and Chaudhary, Kaylash C. and Khan, Mohammad G.M. and Wagner, Michael (2020) Ransomware noise identification and eviction through machine learning fundamental filters. [Conference Proceedings] Sharma, Priynka and Chaudhary, Kaylash C. and Wagner, Michael and Khan, Mohammad G.M. (2021) A comparative analysis of Malware anomaly detection. In: Advances in Computer, Communication and Computational Sciences. Advances in Intelligent Systems and Computing. Springer Nature, Singapore. ISBN 9789811544088 Singh, Ronal R. and Lal, Sunil P. and Vanualailai, Jito (2013) Obstacle avoidance via social mediation in cooperative payload transportation. [Conference Proceedings] Singh, Shaveen and Sharma, Bibhya N. and Jokhan, Anjeela D. (2015) Implementing programme  wide eportfolio to support sustainable student learning at USP. [Conference Proceedings] Singh, Shaveen and Sharma, Bibhya N. and Vanualailai, Jito (2006) An interactive window for multiagent simulations. UNSPECIFIED. (Unpublished) Singh, Vineet and Lal, Sunil P. (2014) Digit Recognition Using Single Layer Neural Network with Principal Component Analysis. [Conference Proceedings] VVanualailai, Jito and Raj, Jai and Raghuwaiya, Krishna (2020) Autonomous quadrotor maneuvers in a 3D complex environment. In: Advances in Computer, Communication and Computational Sciences. Advances in Intelligent Systems and Computing. Springer Nature, Singapore, pp. 221231. ISBN 9789811544088 Varshney, R. and Khan, Mohammad G.M. and Fatima, U. and Ahsan, M.J. (2014) Integer compromise allocation in multivariate stratified surveys. Annals of Operations Research, 221 . pp. 110. ISSN 02545330 WWardah, Wafaa and Dehzangi, Abdollah and Taherzadeh, G. and Rashid, Mahmood and Khan, Mohammad G.M. and Tsunoda, Tatsuhiko and Sharma, Alokanand (2020) Predicting proteinpeptide binding sites with a Deep Convolutional Neural Network. Journal of Theoretical Biology, 110278 . TBC. ISSN 00225193 Weiss, Ittay (2014) The QED Manifesto  Version 2.0. [Conference Proceedings] Williams, Esther W.B. and Kato, M. and Khan, Natasha (2004) Evaluation of computer science curriculum in Fiji secondary schools. ICT Capacity Building at USP Project, the University of the South Pacific, Suva, Fiji. ISBN 9820105676 Wong , Gary and Chandra, Rohitash (2015) Enhancing competitive island cooperative neuro  evolution through backpropagation for pattern classification. In: Neural Information Processing. Lecture Notes in Computer Science . Springer International Publishing, Switzerland, pp. 293301. ISBN Print 9783319265315 online 9783319265322 Wong , Gary and Sharma, Anuraganand and Chandra, Rohitash (2018) Information Collection Strategies In Memetic Cooperative Neuroevolution For Time Series Prediction. [Conference Proceedings] ZZaman, Rianon and Chowdhury, Shahana Yasmin and Rashid, Mahmood and Sharma, Alokanand and Dehzangi, Abdollah and Shatabda, Swakkhar (2017) HMMBinder: DNA  binding protein prediction using HMM profile based features. BioMed Research International, 2017 . 1  10. ISSN 23146133 