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K. G. Srinivasa 0001
Srinivasa K. G. 0001 – Krishnarajanagar G. Srinivasa
Person information
- affiliation: International Institute of Information Technology Naya Raipur, India
- affiliation (2019 - 2022): National Institute of Technical Teachers' Training & Research, Chandigarh, India
- affiliation (2016 - 2019): Ch. Brahm Prakash Government Engineering College, New Delhi, India
- affiliation (2003 - 2016): M. S. Ramaiah Institute of Technology, Bengaluru, India
- affiliation (PhD 2007): Bangalore University, Visvesvaraya College of Engineering, India
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2020 – today
- 2024
- [j59]Raju Gudla
, Satyanarayana Vollala
A novel approach for classification of Tor and non-Tor traffic using efficient feature selection methods. Expert Syst. Appl. 249: 123544 (2024) - [j58]Krish Rustagi, Pranav Bhatnagar, Rishabh Mathur, Indu Singh
Hybrid salp swarm and grey wolf optimizer algorithm based ensemble approach for breast cancer diagnosis. Multim. Tools Appl. 83(27): 70117-70141 (2024) - [j57]Agrawal Luckykumar Dwarkadas
A review of the application of virtual and augmented reality in physical and occupational therapy. Softw. Pract. Exp. 54(8): 1378-1407 (2024) - 2023
- [b5]Muralidhar Kurni, Mujeeb Shaik Mohammed, K. G. Srinivasa:
A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning. Springer 2023, ISBN 978-3-031-32652-3, pp. 1-229 - [j56]B. J. Sowmya, D. Pradeep Kumar, R. Hanumantharaju, K. G. Srinivasa:
DAMIAN - data accrual machine intelligence with augmented networks for contextually coherent creative story generation. Int. J. Bus. Intell. Data Min. 22(1/2): 115-130 (2023) - [j55]B. J. Sowmya, R. Hanumantharaju, D. Pradeep Kumar, K. G. Srinivasa:
Identification of authorship and prevention of fraudulent transactions/cybercrime using efficient high performance machine learning techniques. Int. J. Bus. Intell. Data Min. 22(1/2): 144-169 (2023) - [j54]Srinidhi Hiriyannaiah
DeepLSGR: Neural collaborative filtering for recommendation systems in smart community. Multim. Tools Appl. 82(6): 8709-8728 (2023) - [j53]Indu Singh
Hybrid ABC and black hole algorithm with genetic operators optimized SVM ensemble based diagnosis of breast cancer. Pattern Anal. Appl. 26(4): 1771-1791 (2023) - [c36]Shreya Parashar, K. G. Srinivasa:
Multilingual Speech Sentiment Recognition Using Spiking Neural Networks. BDA 2023: 215-234 - [c35]Garika Akshay, Mohammad Irfan, K. G. Srinivasa, Anurag Singh:
Skin-Vision: An Innovative Mobile-Based Automated Skin Disease Detection Application. OCIT 2023: 835-840 - [c34]A Yogi Athish, Srinivasa K. G., M. Sivakumar
Multilingual Speech Recognition Using Reinforcement Learning. ICCCNT 2023: 1-6 - [c33]Anirudh Bhakar, Priyanshu Senabaya Deori, Yash Vardhan Gautam, Srinivasa K. G.:
Maximizing Returns with Reinforcement Learning: A Paradigm Shift in Stock Market Portfolio Management. TENCON 2023: 393-398 - [c32]Mangipudi Sai Hemant, Shriniwas Raju Jagadabhi, Bhanu Teja Vidapu, Srinivasa K. G.:
Multimodal Classification of Cognitive States in Alzheimer's Disease. TENCON 2023: 1356-1361 - 2022
- [j52]R. Hanumantharaju, K. N. Shreenath, B. J. Sowmya, K. G. Srinivasa:
Leveraging the fog-based machine learning model for ECG-based coronary disease prediction. Int. J. Bus. Intell. Data Min. 21(3): 328-353 (2022) - [j51]Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa:
Fuzzy Inference-Propelled Sentence Ranking for Extractive Summary Generation. Int. J. Decis. Support Syst. Technol. 14(1): 1-14 (2022) - [j50]R. Hanumantharaju
Design of Context Cluster and Load Balanced Video Recommendation System in Cloud Computing. Int. J. Inf. Retr. Res. 12(1): 1-18 (2022) - [j49]G. M. Siddesh, S. R. Mani Sekhar, Srinidhi Hiriyannaiah, Srinivasa K. G.:
Forecasting Stock Market Volume Price Using Sentimental and Technical Analysis. J. Inf. Technol. Res. 15(1): 1-13 (2022) - [j48]Srinidhi Hiriyannaiah
Deep visual ensemble similarity (DVESM) approach for visually aware recommendation and search in smart community. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part A): 2562-2573 (2022) - [j47]R. Hanumantharaju
Fog based smart healthcare: a machine learning paradigms for IoT sector. Multim. Tools Appl. 81(26): 37299-37318 (2022) - 2021
- [j46]Indu Singh
A multi-level classification and modified PSO clustering based ensemble approach for credit scoring. Appl. Soft Comput. 111: 107687 (2021) - [j45]G. M. Siddesh, K. G. Srinivasa
IoT Solution for Enhancing the Quality of Life of Visually Impaired People. Int. J. Grid High Perform. Comput. 13(4): 1-23 (2021) - [i3]Sai Koushik S. S., K. G. Srinivasa:
Artifact Reduction in Fundus Imaging using Cycle Consistent Adversarial Neural Networks. CoRR abs/2112.13264 (2021) - 2020
- [j44]Chetan Shetty, B. J. Sowmya, S. Seema, K. G. Srinivasa
Chapter Eight - Air pollution control model using machine learning and IoT techniques. Adv. Comput. 117: 187-218 (2020) - [j43]Aman Malali, Srinidhi Hiriyannaiah
Supervised ECG wave segmentation using convolutional LSTM. ICT Express 6(3): 166-169 (2020) - [j42]Sowmya B. J., S. Krishna Chaitanya, S. Seema, K. G. Srinivasa
Data Analytic Techniques for Developing Decision Support System on Agrometeorological Parameters for Farmers. Int. J. Cogn. Informatics Nat. Intell. 14(2): 92-107 (2020) - [j41]Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa:
Predictive Analytical Model for Microblogging Data Using Asset Bubble Modelling. Int. J. Cogn. Informatics Nat. Intell. 14(2): 108-118 (2020) - [j40]Indu Singh
Database intrusion detection using role and user behavior based risk assessment. J. Inf. Secur. Appl. 55: 102654 (2020)
2010 – 2019
- 2019
- [j39]Sowmya B. J., Chetan Shetty, S. Seema, K. G. Srinivasa:
An Image Processing and Machine Learning Approach for Early Detection of Diseased Leaves. Int. J. Cyber Phys. Syst. 1(2): 56-73 (2019) - [j38]N. Sudhakar Yadav, K. G. Srinivasa, B. Eswara Reddy:
An IoT-Based Framework for Health Monitoring Systems: A Case Study Approach. Int. J. Fog Comput. 2(1): 43-60 (2019) - [j37]Pankaj Lathar, K. G. Srinivasa:
A Study on the Performance and Scalability of Apache Flink Over Hadoop MapReduce. Int. J. Fog Comput. 2(1): 61-73 (2019) - [j36]Jagadish S. Kallimani, Chekuri Sailusha, Pankaj Lathar, K. G. Srinivasa:
Development of Community Based Intelligent Modules Using IoT to Make Cities Smarter. Int. J. Fog Comput. 2(2): 1-12 (2019) - [j35]Jamuna S. Murthy
A Real-Time Twitter Trend Analysis and Visualization Framework. Int. J. Semantic Web Inf. Syst. 15(2): 1-21 (2019) - [j34]Jamuna S. Murthy
TwitSenti: A Real-Time Twitter Sentiment Analysis and Visualization Framework. J. Inf. Knowl. Manag. 18(2): 1950013:1-1950013:26 (2019) - [c31]Ganeshayya Ishwarayya Shidaganti, S. Prakash, K. G. Srinivasa
Curriculum Enrichment in Empowering "Corporate-Ready" Individuals. ICICT (2) 2019: 437-447 - 2018
- [b4]Krishna Raj P. M., Ankith Mohan
Practical Social Network Analysis with Python. Computer Communications and Networks, Springer 2018, ISBN 978-3-319-96745-5, pp. 1-317 - [b3]K. G. Srinivasa, G. M. Siddesh, Srinidhi Hiriyannaiah:
Network Data Analytics - A Hands-On Approach for Application Development. Computer Communications and Networks, Springer 2018, ISBN 978-3-319-77799-3, pp. 3-383 - [j33]Krishnarajanagar G. Srinivasa
Chapter Five - Comparative Study of Different In-Memory (No/New) SQL Databases. Adv. Comput. 109: 133-156 (2018) - [j32]N. Sudhakar Yadav, B. Eswara Reddy, K. G. Srinivasa:
An efficient sensor integrated model for hosting real-time data monitoring applications on cloud. Int. J. Auton. Comput. 3(1): 18-33 (2018) - [j31]Midde Ranjit Reddy, K. G. Srinivasa, B. Eswara Reddy:
Clustering trajectory-based objects in spatio networks. Int. J. Auton. Comput. 3(1): 72-85 (2018) - [j30]Srinidhi Hiriyannaiah, G. M. Siddesh, P. Anoop, K. G. Srinivasa:
Semi-structured data analysis and visualisation using NoSQL. Int. J. Big Data Intell. 5(3): 133-142 (2018) - [j29]K. G. Srinivasa
Data analytics on census data to predict the income and economic hierarchy. Int. J. Data Anal. Tech. Strateg. 10(3): 223-240 (2018) - [j28]Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa
Real-Time Streaming Data Analysis Using a Three-Way Classification Method for Sentimental Analysis. Int. J. Inf. Technol. Web Eng. 13(3): 99-111 (2018) - [j27]K. G. Srinivasa
Minimization of Energy in Smart Phone Application Development Using Code Analysis. Int. J. Open Source Softw. Process. 9(3): 48-60 (2018) - [j26]Midde Ranjit Reddy, K. G. Srinivasa
Smart Vehicular System based on the Internet of Things. J. Organ. End User Comput. 30(3): 45-62 (2018) - [j25]K. G. Srinivasa
Data Analytics Assisted Internet of Things Towards Building Intelligent Healthcare Monitoring Systems: IoT for Healthcare. J. Organ. End User Comput. 30(4): 83-103 (2018) - [c30]Devika Anil, Anagha Vembar, Srinidhi Hiriyannaiah
Performance Analysis of Deep Learning Architectures for Recommendation Systems. HiPC Workshops 2018: 129-136 - [c29]Manikanta Durga Srinivas Anisetty, Gagan K. Shetty, Srinidhi Hiriyannaiah
Content-Based Music Classification Using Ensemble of Classifiers. IHCI 2018: 285-292 - 2017
- [j24]K. G. Srinivasa:
Utility maximisation-based game theoretic approach for resource allocation in clouds. Int. J. Commun. Networks Distributed Syst. 18(3/4): 235-247 (2017) - [j23]G. M. Siddesh, K. G. Srinivasa
Internet of Things (IOT) Solution for Increasing the Quality of Life of Physically Challenged People. J. Organ. End User Comput. 29(4): 72-83 (2017) - [j22]P. M. Krishnaraj, Ankith Mohan
Performance of procedures for identifying influentials in a social network: prediction of time and memory usage as a function of network properties. Soc. Netw. Anal. Min. 7(1): 34:1-34:11 (2017) - 2016
- [j21]K. G. Srinivasa, Abhinav Shikhar, J. S. Naveen, Sowmya B. J.:
Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents. Int. J. Appl. Evol. Comput. 7(4): 60-76 (2016) - [j20]K. G. Srinivasa, Sowmya B. J., D. Pradeep Kumar, Chetan Shetty:
Efficient Image Denoising for Effective Digitization using Image Processing Techniques and Neural Networks. Int. J. Appl. Evol. Comput. 7(4): 77-93 (2016) - [j19]Srinivasa K. G.
Know Your World Better: Cloud Based Augmented Reality Android Application. Int. J. Handheld Comput. Res. 7(2): 1-15 (2016) - [j18]Srinivasa K. G.
Microsense: Sensor Framework for IoT System-on-Chip. Int. J. Handheld Comput. Res. 7(3): 38-55 (2016) - [c28]Sowmya B. J., Chetan Shetty, D. Pradeep Kumar, K. G. Srinivasa
Paving the Future of Vehicle Maintenance, Breakdown Assistance and Weather Prediction Using IoT in Automobiles. FICTA (1) 2016: 693-702 - [c27]K. G. Srinivasa
An Internet of Things Based Software Framework to Handle Medical Emergencies. ICDCIT 2016: 193-198 - [c26]N. Hema, K. G. Srinivasa
Performance Analysis of Java Virtual Machine for Machine Learning Workloads using Apache Spark. ICIA 2016: 125:1-125:7 - [c25]K. G. Srinivasa
Project Based Learning for Internet of Things and Data Analytics: Experience Report of Learning from ET601X. T4E 2016: 262-263 - 2015
- [b2]K. G. Srinivasa, Anil Kumar Muppalla:
Guide to High Performance Distributed Computing - Case Studies with Hadoop, Scalding and Spark. Computer Communications and Networks, Springer 2015, ISBN 978-3-319-13496-3, pp. 3-301 - [c24]Sowmya B. J., Srinidhi Hiriyannaiah, K. G. Srinivasa:
A Case Study based Software Engineering Education using Open Source Tools. QuASoQ/WAWSE/CMCE@APSEC 2015: 79-88 - [c23]G. M. Siddesh, K. G. Srinivasa
Phylogenetic Analysis Using MapReduce Programming Model. IPDPS Workshops 2015: 350-356 - 2014
- [c22]K. G. Srinivasa
Game theoretic resource allocation in cloud computing. ICADIWT 2014: 36-42 - [c21]Animesh Ramesh, K. G. Srinivasa
SentenceRank - A graph based approach to summarize text. ICADIWT 2014: 177-182 - 2013
- [j17]G. M. Siddesh, K. G. Srinivasa
SLA-driven dynamic capacity forecasting and resource allocation with risk analysis on clouds. Int. J. Commun. Networks Distributed Syst. 11(3): 327-346 (2013) - [j16]G. M. Siddesh, K. G. Srinivasa
GRFM: an efficient grid-based replication and fault tolerant middleware. Int. J. Comput. Sci. Eng. 8(2): 133-147 (2013) - [j15]Srinivasa K. G.
An Intelligent Network Intrusion Detection System Based on Multi-Modal Support Vector Machines. Int. J. Inf. Secur. Priv. 7(4): 37-52 (2013) - [c20]Jagadish S. Kallimani, K. G. Srinivasa
Extraction and interpretation of charts in technical documents. ICACCI 2013: 382-387 - 2012
- [j14]K. G. Srinivasa, Harish RaddiC. S., Mohan KrishnaS. H., Nidhi Venkatesh:
MeghaOS: A Framework for Scalable, Interoperable Cloud Based Operating System. Int. J. Cloud Appl. Comput. 2(1): 53-70 (2012) - [j13]G. M. Siddesh, K. G. Srinivasa:
An Enterprise Mashup Integration Service Framework for Clouds. Int. J. Cloud Appl. Comput. 2(2): 31-40 (2012) - [j12]K. G. Srinivasa
Effects of Information Filters: A Phenomenon on the Web. Int. J. Inf. Retr. Res. 2(2): 1-12 (2012) - [j11]K. G. Srinivasa
gNIDS: rule-based network intrusion detection system using genetic algorithms. Int. J. Intell. Syst. Technol. Appl. 11(3/4): 252-266 (2012) - [j10]Krishna Raj P. M., Srinivasa K. G.:
Empirical studies of global volunteer collaboration in the development of free and open source software: analysis of six top ranked projects in sourceforge.net. ACM SIGSOFT Softw. Eng. Notes 37(2): 1-11 (2012) - [i2]Ch. Ram Mohan Reddy, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, K. Rajani Kanth:
General Methodology for developing UML models from UI. CoRR abs/1201.2031 (2012) - [i1]Ch. Ram Mohan Reddy, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, K. Rajani Kanth:
Early Performance Prediction of Web Services. CoRR abs/1201.2034 (2012) - 2011
- [j9]Srinivasa K. G.
MapReduce Based Information Retrieval Algorithms for Efficient Ranking of Webpages. Int. J. Inf. Retr. Res. 1(4): 23-37 (2011) - [j8]Krishna Raj P. M., Srinivasa K. G.:
Analysis of projects and volunteer participation in large scale free and open source software ecosystem. ACM SIGSOFT Softw. Eng. Notes 36(2): 1-5 (2011) - [c19]G. M. Siddesh, K. G. Srinivasa
SLA - Driven Dynamic Resource Allocation on Clouds. ADCONS 2011: 9-18 - [c18]G. M. Siddesh, K. G. Srinivasa
An Adaptive Scheduler Framework for Complex Workflow Jobs on Grid Systems. HPCC 2011: 544-549 - [c17]G. M. Siddesh, K. G. Srinivasa
GRM: a reliable and fault tolerant data replication middleware for grid environment. ICWET 2011: 810-815 - [c16]Jagadish S. Kallimani, K. G. Srinivasa
Information extraction by an abstractive text summarization for an Indian regional language. NLPKE 2011: 319-322 - 2010
- [c15]K. G. Srinivasa
Fault-Tolerant Middleware for Grid Computing. HPCC 2010: 635-640 - [c14]Jagadish S. Kallimani, K. G. Srinivasa
Information retrieval by text summarization for an Indian regional language. NLPKE 2010: 1-4 - [e1]Vinu V. Das
Information and Communication Technologies - International Conference, ICT 2010, Kochi, Kerala, India, September 7-9, 2010. Proceedings. Communications in Computer and Information Science 101, Springer 2010, ISBN 978-3-642-15765-3 [contents]
2000 – 2009
- 2009
- [b1]K. R. Venugopal, K. G. Srinivasa, Lalit M. Patnaik:
Soft Computing for Data Mining Applications. Studies in Computational Intelligence 190, Springer 2009, ISBN 978-3-642-00192-5, pp. 1-341 [contents] - [r1]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
Soft Computing for XML Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 1806-1809 - 2008
- [j7]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
A soft computing approach for data mining based query processing using rough sets and genetic algorithms. Int. J. Hybrid Intell. Syst. 5(1): 1-17 (2008) - 2007
- [j6]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
Selective dissemination of XML documents based on genetically learned user model and Support Vector Machines. Intell. Data Anal. 11(5): 481-496 (2007) - [j5]K. G. Srinivasa
A self-adaptive migration model genetic algorithm for data mining applications. Inf. Sci. 177(20): 4295-4313 (2007) - [c13]K. G. Srinivasa
Data Mining based Query Processing using Rough Sets and Genetic Algorithms. CIDM 2007: 275-282 - [c12]K. G. Srinivasa
Selective Querying and Other Proposals for a Less Congested Gnutella Network. ICDCIT 2007: 203-208 - [c11]K. G. Srinivasa, Sagnik Dhar, K. R. Venugopal, Lalit M. Patnaik:
Statistical Analysis and Compression of DNA using Weighted Probability Approach and Modified Run-Length Encoding. IICAI 2007: 1058-1070 - 2006
- [j4]K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik:
A neural network based CBIR system using STI features and relevance feedback. Intell. Data Anal. 10(2): 121-137 (2006) - [j3]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
An efficient fuzzy based neuro - genetic algorithm for stock market prediction. Int. J. Hybrid Intell. Syst. 3(2): 63-81 (2006) - [c10]K. G. Srinivasa
Indexing XML Documents Using Self Adaptive Genetic Algorithms for Better Retreival. APWeb 2006: 640-651 - [c9]K. G. Srinivasa
Non-repetitive DNA Sequence Compression Using Memoization. ISBMDA 2006: 402-412 - 2005
- [j2]P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
Dynamic Association Rule Mining using Genetic Algorithms. Intell. Data Anal. 9(5): 439-453 (2005) - [j1]K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik:
Sagaxsearch: an Xml Information Retrieval Mechanism Using Self Adaptive Genetic Algorithms. Int. J. Comput. Intell. Appl. 5(4): 471-493 (2005) - [c8]K. G. Srinivasa
GaXsearch: An XML Information Retrieval Mechanism Using Genetic Algorithms. Australian Conference on Artificial Intelligence 2005: 435-444 - [c7]K. G. Srinivasa
Selective Dissemination of XML Documents Using GAs and SVM. CIS (1) 2005: 562-567 - [c6]K. G. Srinivasa
A Dynamic Migration Model for Self-adaptive Genetic Algorithms. IDEAL 2005: 555-562 - [c5]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
An Efficient Fuzzy based Neuro - Genetic Algorithm for Stock Market Prediction. IICAI 2005: 2256-2274 - [c4]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
A Self-Adaptive Migration Model Genetic Algorithms for Data Mining Applications. IICAI 2005: 3303-3322 - 2004
- [c3]P. Deepa Shenoy, K. G. Srinivasa, Achint Oommen Thomas, K. R. Venugopal, Lalit M. Patnaik:
Mining Top - k Ranked Webpages Using Simulated Annealing and Genetic Algorithms. AACC 2004: 137-144 - 2003
- [c2]P. Deepa Shenoy, K. G. Srinivasa, M. P. Mithun, K. R. Venugopal, Lalit M. Patnaik:
Dynamic Subspace Clustering for Very Large High-Dimensional Databases. IDEAL 2003: 850-854 - [c1]P. Deepa Shenoy, K. G. Srinivasa
Evolutionary Approach for Mining Association Rules on Dynamic Databases. PAKDD 2003: 325-336
Coauthor Index
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