2014-15
  • Arun K Pujari, Venkateswara Rao Kagita, Vineet Padmanabhan, Virtual User approach for group recommender systems using precedence relations. Information Sciences: 294 ,15-30 (2015).
  • Arun K Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan, Bi-directional search for skyline probability, International conference on Algorithms and discrete applied mathematics (CLADAM-2015), February 8-10 2015, pages 250-261, Springer, IIT-Kanpur.
  • Arun K Pujari, Tadiparthi V.R. Himabindu, Vineet Padmanabhan, Venkateswara Rao kagita, Recommender system algorithms: A Comparative analysis based on monotonicity. Eighth international conference on advances in pattern recognition (ICAPR-2015), January 4-7 2015, Springer, ISI Kolkata, India.
  • Arun K Pujari, Sowmini Devi, Venkateswara Rao Kagita, Vineet Padmanabhan, Collaborative filtering by PSO-based MMMF, 2014 IEEE international conference on Systems, Man and Cybernetics (SMC-2014), October 5-8 2014, Pages 569-574, IEEE, San Diego, USA.
  • Arun K Pujari, S. Mini, Trideba Padhi, Prabhanjan Sahoo, Polyhedral Approach for Lifetime Maximization of Target Coverage Problem. ICDCN 2015: 14:1-14:8.
  • Arun K Pujari, Chandana Mitra, Sagarika Mishra, A New Parallel Thinning Algorithm with Stroke Correction for Odia Characters. ICACNI-2014, pp 413-419.
  • Arun K Pujari, Arko Banerjee, Representative Based Document Clustering. ICACNI-2014, pp 403-411
  • Arun Agarwal, Upendra Kumar Singh, Vineet Padmanabhan, Dynamic classification of ballistic missiles using neural networks and hidden Markov models. Appl. Soft Comput. 19: 280-289 (2014).
  • Arun Agarwal, with Sandeep Chinta, C. Raghavendra Rao, Wind Speed Model for Anantapur District, Western Andhra Pradesh, India; International Journal of Innovative Research in Advanced Engineering (IJIRAE), ISSN: 2349-2163; Volume 1 Issue 8 (September 2014); pp 177-183
  • Arun Agarwal, Tilottama Goswami, Hybrid Region and Edge Based Unsupervised Color-Texture Segmentation for Natural Images, International Journal of Information Processing, 9(1), 77-92, 2015, ISSN : 0973-8215
  • Arun Agarwal, Akhter M. Rather, V N Sastry, Recurrent neural network and a hybrid model for prediction of stock returns, Expert Systems with Applications, 42 (2015), pp 3234-3241, Elsevier.
  • Arun Agarwal, Hemantha Kumar Kalluri, Munaga V.N.K. Prasad, Palmprint identification and verification based on wide principal lines through dynamic ROI, Int. J. Biometrics, Vol 7, No. 1, 2015, pp 1- 30, Inderscience Enterprises Ltd.
  • Arun Agarwal, Tilottama Goswami, C.Raghavendra Rao, Color Texture feature Integration for Unsupervised Image Segmentation based on Orthogonal Polynomial Operators and Hybrid Color Space, Eighth International Conference on Image and Signal Processing (ICISP-2014), July 25-27, 2014, Bangalore, India, (Eds) K. R. Venugopal, K. B. Raja and L. M. Patnaik, Elsevier Science and Technology Publications, pp 52-59, ISBN No: 9789351072522.
  • Arun Agarwal, with Akhter Rather, V N Sastry, Portfolio selection using Maximum-entropy gain loss spread model: A GA based approach, Second International Workshop on Mathematical Modelling and Scientific Computing (MMSC-2014), Third International Conference on Advances in Computing, Communications and Informatics (ICACCI-2014) held at GCET, Greater Noida, Delhi, India during September 24-27, 2014.
  • Arun Agarwal, Manoj Kumar Balwant, C.R. Rao, Rajeev Wankar, Online Touchless Palmprint Registration System in a Dynamic Environment, ACIS 2014: The Third Asian Conference on Information Systems, December 1-3, 2014, Nha Trang, Vietnam, to be published by IEEJ.
  • Arun Agarwal, Mousumi Roy, Apparao Allam, Rajeev Wankar and Raghavendra Rao Chillarige, Image Processing Tool for FAE Cloud Dynamics, The 8th Multi-Disciplinery International Workshop on Artificial Intelligence, MIWAI 2014, December 8-10, 2014, Bangalore, LNCS/LNAI 8875, pp 69-80.
  • Arun Agarwal, P Pavan Kumar, Chakravarthy Bhagvati, A Knowledge-based Design for Structural Analysis of Printed Mathematical Expressions, The 8th Multi-Disciplinery International Workshop on Artificial Intelligence, MIWAI 2014, December 8-10, 2014, Bangalore, LNCS/LNAI 8875, pp 112 -123.
  • Arun Agarwal, Raghavendra Kune, Pramod Kumar Konugurthi, Raghavendra Rao Chillarige, Rajkumar Buyya, Genetic Algorithm based Data-aware High Throughput Group Scheduling for Big Data Clouds, Proceedings of the International Symposium on Big Data Computing (BDC 2014), December 8-11, 2014, London, UK, IEEE CS Press, USA, pp 96-104.
  • C.R. Rao, Tilottama Goswami, Arun Agarwal,Hybrid region and edge based unsupervised color-texture segmentation for natural images, International Journal of Information Processing(IJIP),9, 77-92, 2015.
  • C.R. Rao, PSVS Sai Prasad, An Efficient Approach for Fuzzy Decision Reduct Computation Transactions on Rough Sets XVII, 8375, 82-108, 2014, Springer Berlin Heidelberg.
  • C.R. Rao, V KAMESHWARA Rao, A.C. NARAYANA, Assessing Grade Domain of Iron Ore Deposit using Geostatistical Modelling: A Case Study JOURNAL GEOLOGICAL SOCIETY OF INDIA,83, May-14, 549-554, 2014, GEOL. SOC. INDIA.
  • C.R. Rao, V. N. K. MUNAGA PRASAD ; IDRBT, P. SWATHI, B. L. DEEKSHATULU, MINIMUM SPANNING TREE (MST) BASED TECHNIQUES FOR GENERATION OF CANCELABLE FINGERPRINT TEMPLATES International Journal of Pattern Recognition and Artificial Intelligence 28,6,23, 2014 World Scientific Publishing Company.
  • C.R. Rao, Vijaya Lakshmi V Nadimpalli; Rajeev Wankar, A Novel Genetic Algorithmic Approach for Computing Real Roots of a Nonlinear Equation Applications of Evolutionary Computation, 579-590, 2014, Springer Berlin Heidelberg
  • C.R. Rao, Mousumi Roy, Apparao Allam, Arun Agarwal, Rajeev Wankar; Image Processing Tool for FAE Cloud Dynamics Multi-disciplinary Trends in Artificial Intelligence, 69-80, 2014, Springer International Publishing.
  • C.R. Rao, Sandeep Chinta, Arun Agarwal; Wind Speed Model for Anantapur District, Western Andhra Pradesh, India,2014
  • C.R. Rao,8. Apparao Allam; TNT Equivalency of Unconfined Aerosols of Propylene Oxide Defence Science Journal, 64, 5, 431-437, 2014.
  • C.R. Rao, Chebolu NA B Sankar, Rajeev Wankar; GA-Based Compiler Parameter Set Tuning Artificial Intelligence and Evolutionary Algorithms in Engineering Systems, 197-203, 2015, Springer India.
  • C.R. Rao, Mustafa Kaiiali, Rajeev Wankar, Arun Agarwal; Cross-Domain Single Resource Authorization using HCM,The International Technology Management Conference (ITMC2015),54-59 2015, ISBN: 978-1-941968-11-6 ©2015 SDIWC.
  • C.R. Rao, K Hima Bindu; Search Result Clustering Through Expectation Maximization Based Pruning of Terms Proceedings of the Second International Conference on Soft Computing for problem Solving (SocProS 2012), December 28-30, 2012;1285-1292, 2014, Springer India.
  • C. R.Rao, Vijaya Lakshmi V Nadimpalli, Appa Rao Allam, Ajay Kumar Vishwakarma, , Saji Jayadas, Arun Agarwal, Rajeev Wankar; “Theoretical estimation of initial velocities of explosively dispersed fuel for the formation of Fuel Air Explosives”, Proceedings of the 9th International High Energy Materials Conference and Exhibits HEMCE 2014
  • C.R.Rao, Vijaya Lakshmi V Nadimpalli, Rajeev Wankar; A Novel Genetic Algorithmic Approach for Real Root Computation Proceedings of the EVO Star 2014.
  • C.R.Rao, Vijaya Lakshmi V Nadimpalli, Rajeev Wankar; “Potential Interval of Root” of Nonlinear Equation: Labeling Algorithm Multi-disciplinary Trends in Artificial Intelligence,12-Jan2014, Springer International Publishing.
  • C.R.Rao, S Raveen, PSVS Sai Prasad; A New Preprocessor to Fuzzy c-Means Algorithm Multi-disciplinary Trends in Artificial Intelligence 124-135, 2014, Springer International Publishing.
  • C.R.Rao, Raghavendra Kune, Pramod Kumar Konugurthi, Arun Agarwal, Rajkumar Buyya; Genetic Algorithm based Data-aware Group Scheduling for Big Data Clouds Proceedings of the 2014 IEEE/ACM International Symposium on Big Data Computing, 96-104, 2014, IEEE Computer Society.
  • C.R.Rao, Tilottama Goswami, Arun Agarwal; Statistical Learning for Texture Characterization Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing Article ID :11, 2014, ACM.
  • C.R.Rao, Tilottama Goswami, Arun Agarwal; Color Texture features Integration for Unsupervised Image Segmentation based on Orthogonal Polynomial Operators and Hybrid Color Space,ICISP-2014,52-59, 2014, Elsevier publication.
  • S. Bapi Raju, T. Maruthi Padmaja, Raju N. Hota, P. Radha Krishna; Class imbalance and its effect on PCA preprocessing. IJKESDP 4(3): 272-294 (2014).
  • S. Bapi Raju, Vemuri K; Evidence of stimulus correlated empathy modes - Group ICA of fMRI data. Brain and Cognition, 94:32-43.
  • S.Durga Bhavani, K.Suvarna Vani; Divide and Conquer Approach to Contact Map Overlap Problem using 2D-Pattern Mining of Protein Contact Networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics,(Volume:PP ,Issue:99), 2015.
  • S.Durga Bhavani, T.Jaya Lakshmi; Enhancement to Community-based Multi-relational Link Prediction using Co-occurrence Probability Feature, Accepted in CoDS '15:2nd IKDD Conference on Data Sciences, Bangalore, India.
  • S.Durga Bhavani, D.Sandhya Rani , T. Sobha Rani; Feature Subset Selection using Consensus Clustering, Proceedings of International conference on Advances in Pattern Recognition (ICAPR), IEEE, 2015.
  • S.Durga Bhavani, D. Sandhya Rani, T. Sobha Rani; Consensus clustering for dimensionality reduction. Proceedings of Seventh International Conference on Contemporary Computing IC3, 148-153, IEEE, 2014.
  • V Ch Venkaiah, Anjaneyulu Endurthi, Oinam B Chanu, Appala Naidu Tentu; Reusable Multi-Stage Multi-Secret Sharing Schemes based on CRT., Journal of Communications Software and Systems (JCOMSS) ,Vol. 11, No. 1, pp. 15-24, March 2015.
  • V Ch Venkaiah, Anjaneyulu Endurthi, Appala Naidu Tentu; Reusable Multi-Stage Multi-Secret Sharing Scheme based on Asmuth-Bloom Sequence. International Journal of Computer Applications IJCA(0975 - 8887) - Proceedings on International Conference on Communication, Computing and Information Technology ICCCMIT 2014(3): 1-6, March 2015.
  • V Ch Venkaiah, T A Naidu, P Paul; Computationally perfect secret sharing schemes Based on MDS codes. International Journal of Trust Management in Computing and Communications (IJTMCC), Vol. 2, No.4, pp 353-378, 2014. ( Inderscience).
  • V Ch Venkaiah, Oinam B Chanu, Appala Naidu Tentu; Multi-Stage Multi-Secret Sharing Schemes Based on Chinese Remainder Theorem, ICARCSET '15 ACM conference, India, 978-1-4503-3441-9/15/03, 2015,
  • V Ch Venkaiah, Dileep Kumar P, Appala Naidu Tentu; Ideal and Computationally Perfect Secret Sharing Schemes for Generalized Access Structures, Second International Symposium on Security in Computing and Communications (SSCC-2014), Vol. 467, pp 149-161, Springer-Verlag Berlin Heidelberg, 2014.
  • V Ch Venkaiah, Appala Naidu Tentu, P. Paul; Computationally perfect secret sharing scheme Based on error-correcting codes. 2nd International Conference on Recent Trends in Computer Networks and Distributed Systems Security (SNDS), vol. 420, pp. 251-262. Springer-Verlag Berlin Heidelberg, 2014.
  • Salman Abdul Moiz; “A Heuristic approach for Effective Management of Concurrent Transactions in Mobile Environments”, International Journal of Database Theory & Applications, Vol.8, No.1, pp.205-212, 2015.
  • Salman Abdul Moiz, U.K Choudhary; “Improving the Success rate of Concurrent Mobile Transactions by Predicting Time for Execution” , 7th IEEE International Conference on “u- and e-Service, Science & Technology (UNESST-2014)”, pp.7-10, 2014.
  • Salman Abdul Moiz; “Reusing Software Components: A Heuristic approach using Feature selection”, 1st International Conference on Rough sets and Knowledge Technologies (ICRSKT-2014), Hyderabad, pp.93-99, 2014. Elsevier Publications.
  • Salman Abdul Moiz; 4. “A Hybrid Concurrency Control Strategy for Mobile Database Systems”, Journal of Advances in Research, Science Domain International, Vol.3, Issue.4, pp. 374-381, 2014.
  • Vineet C.P. Nair, Venkateswara Rao Kagita, Arun K Pujari; Virtual User approach for group recommender systems using precedence relations. Information Sciences: 294 ,15-30 (2015).
  • Vineet C.P. Nair, Upendra Kumar Singh, Arun Agarwal; Dynamic classification of ballistic missiles using neural networks and hidden Markov models. Appl. Soft Comput. 19: 280-289 (2014).
  • Vineet C.P. Nair, Arun K Pujari, Venkateswara Rao Kagita, Anubhuti Garg; Bi-directional search for skyline probability, International conference on Algorithms and discrete applied mathematics (CLADAM-2015), February 8-10 2015, pages 250-261, Springer, IIT-Kanpur.
  • Vineet C.P. Nair, Tadiparthi V.R. Himabindu, Venkateswara Rao kagita, Arun K Pujari; Recommender system algorithms: A Comparative analysis based on monotonicity. Eighth international conference on advances in pattern recognition (ICAPR-2015), January 4-7 2015, Springer, ISI Kolkata, India.
  • Vineet C.P. Nair, Abinash Pujahari; An approach to content-based recommender systems using decision list based classification with D-knf rule set, 2014 International conference on Information Technology (ICIT-2014), December 2014 Pages 260-263, IEEE, Bhubaneswar, India
  • Vineet C.P. Nair, Abinash Pujahari;p A New Grouping Method Based on Social Choice Strategies for Group Recommender System, International conference on computational intgelligence and datamining (ICCIDM-2014), December 2014, pages 325-332, Bhubaneswar, India.
  • Vineet C.P. Nair, V Sowmini Devi, Venkateswara Rao Kagita, Arun K Pujari; Collaborative filtering by PSO-based MMMF, 2014 IEEE international conference on Systems, Man and Cybernetics (SMC-2014), October 5-8 2014, Pages 569-574, IEEE, San Diego, USA.
  • Y V Subba Rao, T. Preethi , CH. Uma Deepika , N.RukmaRekha , S. Durga Bhavani ,B. Chakravarti; “ Rainbow Table vs Thin Rainbow Table”, in Proceedings on the 2nd international conference on Emerging Research In Computing , Information, Communication And Applications (ERCICA 2014 ), Elseiver Publications, 2014, Vol -3, pp:41-48, 2014.
  • P S V S Sai Prasad, C. Raghavendra Rao; Non persistent stratified sampling based IQRA_IG for scalable reduct generation. International Journal of Granular Computing, Rough Sets and Intelligent Systems ( IJGCRSIG), vol. 3, no. 3, Inderscience, pp. 234-255. (2014).
  • P S V S Sai Prasad, Raveen. S., C. Raghavendra Rao; A New Preprocessor to Fuzzy c-Means Algorithm. Multi-disciplinary Trends in Artificial Intelligence – 8th International Workshop MIWAI 2014, Bangalore, India, December 8-10, 2014, pp. 124-135.
  • N Rukma Rekha, T. Preethi , CH. Uma Deepika,Y. V. Subba Rao, S.Durga Bhavani ,B. Chakravarti; “ Rainbow Table vs Thin Rainbow Table”, in Proceedings on the 2nd international conference on Emerging Research In Computing , Information, Communication And Applications (ERCICA 2014 ), Elseiver Publications, 2014, Vol -3, pp:41-48, 2014.
  • N Rukma Rekha, M.S.Prasad Babu; “Secured GPS Based Traffic Monitoring System in Pervasive Environment” , in Proceedings of IEEE 5th International Conference on Software Engineering and Service Science (ICSESS) pp:775-779, 2014.