Dynamic Subspace Clustering for Very Large High-Dimensional Databases. - P. Deepa Shenoy; K. G. Srinivasa 001; M. P. Mithun; K. R. Venugopal 001; Lalit M. Patnaik (IDEAL, 2003)

Evolutionary Approach for Mining Association Rules on Dynamic Databases. - P. Deepa Shenoy; K. G. Srinivasa 001; K. R. Venugopal 001; Lalit M. Patnaik (PAKDD, 2003)

Mining Top - k Ranked Webpages Using Simulated Annealing and Genetic Algorithms. - P. Deepa Shenoy; K. G. Srinivasa 001; Achint Oommen Thomas; K. R. Venugopal 001; Lalit M. Patnaik (AACC, 2004)

GaXsearch: An XML Information Retrieval Mechanism Using Genetic Algorithms. - K. G. Srinivasa 001; S. Sharath; K. R. Venugopal 001; Lalit M. Patnaik (Australian Conference on Artificial Intelligence, 2005)

Selective Dissemination of XML Documents Using GAs and SVM. - K. G. Srinivasa 001; S. Sharath; K. R. Venugopal 001; Lalit M. Patnaik (CIS (1), 2005)

A Dynamic Migration Model for Self-adaptive Genetic Algorithms. - K. G. Srinivasa 001; Karthik Sridharan; P. Deepa Shenoy; K. R. Venugopal 001; Lalit M. Patnaik (IDEAL, 2005)

A Self-Adaptive Migration Model Genetic Algorithms for Data Mining Applications. - K. G. Srinivasa 001; K. R. Venugopal 001; Lalit M. Patnaik (IICAI, 2005)

Dynamic Association Rule Mining using Genetic Algorithms. - P. Deepa Shenoy; K. G. Srinivasa 001; K. R. Venugopal 001; Lalit M. Patnaik (Intell. Data Anal., 2005)

Sagaxsearch: an Xml Information Retrieval Mechanism Using Self Adaptive Genetic Algorithms. - K. G. Srinivasa 001; S. Sharath; K. R. Venugopal 001; Lalit M. Patnaik (Int. J. Comput. Intell. Appl., 2005)

Indexing XML Documents Using Self Adaptive Genetic Algorithms for Better Retreival. - K. G. Srinivasa 001; S. Sharath; K. R. Venugopal 001; Lalit M. Patnaik (APWeb, 2006)

Non-repetitive DNA Sequence Compression Using Memoization. - K. G. Srinivasa 001; M. Jagadish; K. R. Venugopal 001; Lalit M. Patnaik (ISBMDA, 2006)

A neural network based CBIR system using STI features and relevance feedback. - K. G. Srinivasa 001; Karthik Sridharan; P. Deepa Shenoy; K. R. Venugopal 001; Lalit M. Patnaik (Intell. Data Anal., 2006)

An efficient fuzzy based neuro - genetic algorithm for stock market prediction. - K. G. Srinivasa 001; K. R. Venugopal 001; Lalit M. Patnaik (Int. J. Hybrid Intell. Syst., 2006)

Data Mining based Query Processing using Rough Sets and Genetic Algorithms. - K. G. Srinivasa 001; M. Jagadish; K. R. Venugopal 001; Lalit M. Patnaik (CIDM, 2007)

Selective Querying and Other Proposals for a Less Congested Gnutella Network. - K. G. Srinivasa 001; Anuj Bhatt; Sagnik Dhar; K. R. Venugopal 001; Lalit M. Patnaik (ICDCIT, 2007)

Statistical Analysis and Compression of DNA using Weighted Probability Approach and Modified Run-Length Encoding. - K. G. Srinivasa 001; Sagnik Dhar; K. R. Venugopal 001; Lalit M. Patnaik (IICAI, 2007)

Selective dissemination of XML documents based on genetically learned user model and Support Vector Machines. - K. G. Srinivasa 001; K. R. Venugopal 001; Lalit M. Patnaik (Intell. Data Anal., 2007)

A self-adaptive migration model genetic algorithm for data mining applications. - K. G. Srinivasa 001; K. R. Venugopal 001; Lalit M. Patnaik (Inf. Sci., 2007)

A soft computing approach for data mining based query processing using rough sets and genetic algorithms. - K. G. Srinivasa 001; K. R. Venugopal 001; Lalit M. Patnaik (Int. J. Hybrid Intell. Syst., 2008)

Soft Computing for XML Data Mining. - K. G. Srinivasa 001; K. R. Venugopal 001; Lalit M. Patnaik (Encyclopedia of Data Warehousing and Mining, 2009)

Soft Computing for Data Mining Applications - K. R. Venugopal 001; K. G. Srinivasa 001; Lalit M. Patnaik (Springer, 2009)

Fault-Tolerant Middleware for Grid Computing. - K. G. Srinivasa 001; G. M. Siddesh; Sijo Cherian (HPCC, 2010)

Information retrieval by text summarization for an Indian regional language. - Jagadish S. Kallimani 001; K. G. Srinivasa 001; B. Eswara Reddy (NLPKE, 2010)

SLA - Driven Dynamic Resource Allocation on Clouds. - G. M. Siddesh; K. G. Srinivasa 001 (ADCONS, 2011)

An Adaptive Scheduler Framework for Complex Workflow Jobs on Grid Systems. - G. M. Siddesh; K. G. Srinivasa 001 (HPCC, 2011)

GRM: a reliable and fault tolerant data replication middleware for grid environment. - G. M. Siddesh; K. G. Srinivasa 001; K. R. Venugopal 001 (ICWET, 2011)

Information extraction by an abstractive text summarization for an Indian regional language. - Jagadish S. Kallimani 001; K. G. Srinivasa 001; B. Eswara Reddy (NLPKE, 2011)

MapReduce Based Information Retrieval Algorithms for Efficient Ranking of Webpages. - Srinivasa K. G. 001; Anil Kumar Muppalla; Bharghava Varun A.; Amulya M. (Int. J. Inf. Retr. Res., 2011)

Analysis of projects and volunteer participation in large scale free and open source software ecosystem. - Krishna Raj P. M.; Srinivasa K. G. 001 (ACM SIGSOFT Softw. Eng. Notes, 2011)

General Methodology for developing UML models from UI - Ch. Ram Mohan Reddy; D. Evangelin Geetha; K. G. Srinivasa 001; T. V. Suresh Kumar; K. Rajani Kanth (CoRR, 2012)

Early Performance Prediction of Web Services - Ch. Ram Mohan Reddy; D. Evangelin Geetha; K. G. Srinivasa 001; T. V. Suresh Kumar; K. Rajani Kanth (CoRR, 2012)

An Enterprise Mashup Integration Service Framework for Clouds. - G. M. Siddesh; K. G. Srinivasa 001 (Int. J. Cloud Appl. Comput., 2012)

MeghaOS: A Framework for Scalable, Interoperable Cloud Based Operating System. - K. G. Srinivasa 001; Harish Raddi C. S.; Mohan Krishna S. H.; Nidhi Venkatesh (Int. J. Cloud Appl. Comput., 2012)

Effects of Information Filters: A Phenomenon on the Web. - K. G. Srinivasa 001; N. Pramod; K. R. Venugopal 001; Lalit M. Patnaik (Int. J. Inf. Retr. Res., 2012)

gNIDS: rule-based network intrusion detection system using genetic algorithms. - K. G. Srinivasa 001; N. Pramod (Int. J. Intell. Syst. Technol. Appl., 2012)

Empirical studies of global volunteer collaboration in the development of free and open source software: analysis of six top ranked projects in sourceforge.net. - Krishna Raj P. M.; Srinivasa K. G. 001 (ACM SIGSOFT Softw. Eng. Notes, 2012)

Extraction and interpretation of charts in technical documents. - Jagadish S. Kallimani 001; K. G. Srinivasa 001; B. Eswara Reddy (ICACCI, 2013)

SLA-driven dynamic capacity forecasting and resource allocation with risk analysis on clouds. - G. M. Siddesh; K. G. Srinivasa 001 (Int. J. Commun. Networks Distributed Syst., 2013)

GRFM: an efficient grid-based replication and fault tolerant middleware. - G. M. Siddesh; K. G. Srinivasa 001 (Int. J. Comput. Sci. Eng., 2013)

An Intelligent Network Intrusion Detection System Based on Multi-Modal Support Vector Machines. - Srinivasa K. G. 001 (Int. J. Inf. Secur. Priv., 2013)

SentenceRank - A graph based approach to summarize text. - Animesh Ramesh; K. G. Srinivasa 001; N. Pramod (ICADIWT, 2014)

Game theoretic resource allocation in cloud computing. - K. G. Srinivasa 001; S. Srinidhi; K. Sharath Kumar; Vignesh Shenvi; U. Shashank Kaushik; Kushagra Mishra (ICADIWT, 2014)

A Case Study based Software Engineering Education using Open Source Tools. - Sowmya B. J.; Srinidhi Hiriyannaiah; K. G. Srinivasa 001 (QuASoQ/WAWSE/CMCE@APSEC, 2015)

Phylogenetic Analysis Using MapReduce Programming Model. - G. M. Siddesh; K. G. Srinivasa 001; Ishank Mishra; Abhinav Anurag; Eklavya Uppal (IPDPS Workshops, 2015)

Guide to High Performance Distributed Computing - Case Studies with Hadoop, Scalding and Spark - K. G. Srinivasa 001; Anil Kumar Muppalla (Springer, 2015)

Paving the Future of Vehicle Maintenance, Breakdown Assistance and Weather Prediction Using IoT in Automobiles. - Sowmya B. J.; Chetan Shetty; D. Pradeep Kumar; K. G. Srinivasa 001 (FICTA (1), 2016)

A Simulation based learning for Computer Organization Education. - K. G. Srinivasa 001; Sowmya B. J.; Chandrika Prasad; K. Madhavi (ICCE, 2016)

VidhyaSangam: A Cost-Effective Video Learning Solution for Class-Room and Students Personal Use. - Nagabhushana A. Matad; K. G. Srinivasa 001; Lenin Fernandes (ICCE, 2016)

An Internet of Things Based Software Framework to Handle Medical Emergencies. - K. G. Srinivasa 001; Kartik S. Gayatri; Maaz Syed Adeeb; Nikhil N. Jannu (ICDCIT, 2016)

Performance Analysis of Java Virtual Machine for Machine Learning Workloads using Apache Spark. - N. Hema; K. G. Srinivasa 001; Saravanan Chidambaram; Sandeep Saraswat; Sujoy Saraswati; Ranganath Ramachandra; Jayashree B. Huttanagoudar (ICIA, 2016)

Project Based Learning for Internet of Things and Data Analytics: Experience Report of Learning from ET601X. - K. G. Srinivasa 001; Sowmya B. J. (T4E, 2016)

Efficient Image Denoising for Effective Digitization using Image Processing Techniques and Neural Networks. - K. G. Srinivasa 001; Sowmya B. J.; D. Pradeep Kumar; Chetan Shetty (Int. J. Appl. Evol. Comput., 2016)

Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents. - K. G. Srinivasa 001; Abhinav Shikhar; J. S. Naveen; Sowmya B. J. (Int. J. Appl. Evol. Comput., 2016)

Microsense: Sensor Framework for IoT System-on-Chip. - Srinivasa K. G. 001; Ganesh Hegde; Kushagra Mishra; Mohammad Nabeel Siddiqui; Abhishek Kumar; Pradeep Kumar D. (Int. J. Handheld Comput. Res., 2016)

Know Your World Better: Cloud Based Augmented Reality Android Application. - Srinivasa K. G. 001; Satvik Jagannath; Aakash Nidhi (Int. J. Handheld Comput. Res., 2016)

Utility maximisation-based game theoretic approach for resource allocation in clouds. - K. G. Srinivasa 001 (Int. J. Commun. Networks Distributed Syst., 2017)

Internet of Things (IOT) Solution for Increasing the Quality of Life of Physically Challenged People. - G. M. Siddesh; K. G. Srinivasa 001; Siddharth Kaushik; S. V. Varun; Vidhatri Subramanyam; Vinay M. Patil (J. Organ. End User Comput., 2017)

Performance of procedures for identifying influentials in a social network: prediction of time and memory usage as a function of network properties. - P. M. Krishnaraj; Ankith Mohan; Srinivasa K. G. 001 (Soc. Netw. Anal. Min., 2017)

Performance Analysis of Deep Learning Architectures for Recommendation Systems. - Devika Anil; Anagha Vembar; Srinidhi Hiriyannaiah; G. M. Siddesh; K. G. Srinivasa 001 (HiPC Workshops, 2018)

Content-Based Music Classification Using Ensemble of Classifiers. - Manikanta Durga Srinivas Anisetty; Gagan K. Shetty; Srinidhi Hiriyannaiah; Siddesh Gaddadevara Matt; K. G. Srinivasa 001; Anita Kanavalli (IHCI, 2018)

Chapter Five - Comparative Study of Different In-Memory (No/New) SQL Databases. - Krishnarajanagar G. Srinivasa; Srinidhi Hiriyannaiah (Adv. Comput., 2018)

Clustering trajectory-based objects in spatio networks. - Midde Ranjit Reddy; K. G. Srinivasa 001; B. Eswara Reddy (Int. J. Auton. Comput., 2018)

An efficient sensor integrated model for hosting real-time data monitoring applications on cloud. - N. Sudhakar Yadav; B. Eswara Reddy; K. G. Srinivasa 001 (Int. J. Auton. Comput., 2018)

Semi-structured data analysis and visualisation using NoSQL. - Srinidhi Hiriyannaiah; G. M. Siddesh; P. Anoop; K. G. Srinivasa 001 (Int. J. Big Data Intell., 2018)

Data analytics on census data to predict the income and economic hierarchy. - K. G. Srinivasa 001; R. Sharath; S. Krishna Chaitanya; K. N. Nirupam; Sowmya B. J. (Int. J. Data Anal. Tech. Strateg., 2018)

Real-Time Streaming Data Analysis Using a Three-Way Classification Method for Sentimental Analysis. - Srinidhi Hiriyannaiah; G. M. Siddesh; K. G. Srinivasa 001 (Int. J. Inf. Technol. Web Eng., 2018)

Minimization of Energy in Smart Phone Application Development Using Code Analysis. - K. G. Srinivasa 001; Srinidhi Hiriyannaiah; G. M. Siddesh (Int. J. Open Source Softw. Process., 2018)

Smart Vehicular System based on the Internet of Things. - Midde Ranjit Reddy; K. G. Srinivasa 001; B. Eswara Reddy (J. Organ. End User Comput., 2018)

Data Analytics Assisted Internet of Things Towards Building Intelligent Healthcare Monitoring Systems: IoT for Healthcare. - K. G. Srinivasa 001; Sowmya B. J.; Abhinav Shikhar; Ritu Utkarsha; Aahan Singh (J. Organ. End User Comput., 2018)

Practical Social Network Analysis with Python - Krishna Raj P. M.; Ankith Mohan; K. G. Srinivasa 001 (Springer, 2018)

Network Data Analytics - A Hands-On Approach for Application Development - K. G. Srinivasa 001; G. M. Siddesh; Srinidhi Hiriyannaiah (Springer, 2018)

Curriculum Enrichment in Empowering "Corporate-Ready" Individuals. - Ganeshayya Ishwarayya Shidaganti; S. Prakash; K. G. Srinivasa 001 (ICICT (2), 2019)

An Image Processing and Machine Learning Approach for Early Detection of Diseased Leaves. - Sowmya B. J.; Chetan Shetty; S. Seema; K. G. Srinivasa 001 (Int. J. Cyber Phys. Syst., 2019)

Development of Community Based Intelligent Modules Using IoT to Make Cities Smarter. - Jagadish S. Kallimani 001; Chekuri Sailusha; Pankaj Lathar; K. G. Srinivasa 001 (Int. J. Fog Comput., 2019)

A Study on the Performance and Scalability of Apache Flink Over Hadoop MapReduce. - Pankaj Lathar; K. G. Srinivasa 001 (Int. J. Fog Comput., 2019)

An IoT-Based Framework for Health Monitoring Systems: A Case Study Approach. - N. Sudhakar Yadav; K. G. Srinivasa 001; B. Eswara Reddy (Int. J. Fog Comput., 2019)

A Real-Time Twitter Trend Analysis and Visualization Framework. - Jamuna S. Murthy; G. M. Siddesh; K. G. Srinivasa 001 (Int. J. Semantic Web Inf. Syst., 2019)

TwitSenti: A Real-Time Twitter Sentiment Analysis and Visualization Framework. - Jamuna S. Murthy; G. M. Siddesh; K. G. Srinivasa 001 (J. Inf. Knowl. Manag., 2019)

Chapter Eight - Air pollution control model using machine learning and IoT techniques. - Chetan Shetty; B. J. Sowmya; S. Seema; K. G. Srinivasa 001 (Adv. Comput., 2020)

Supervised ECG wave segmentation using convolutional LSTM. - Aman Malali; Srinidhi Hiriyannaiah; G. M. Siddesh; K. G. Srinivasa 001; Sanjay N. T. (ICT Express, 2020)

Predictive Analytical Model for Microblogging Data Using Asset Bubble Modelling. - Srinidhi Hiriyannaiah; G. M. Siddesh; K. G. Srinivasa 001 (Int. J. Cogn. Informatics Nat. Intell., 2020)

Data Analytic Techniques for Developing Decision Support System on Agrometeorological Parameters for Farmers. - Sowmya B. J.; S. Krishna Chaitanya; S. Seema; K. G. Srinivasa 001 (Int. J. Cogn. Informatics Nat. Intell., 2020)

Database intrusion detection using role and user behavior based risk assessment. - Indu Singh; Narendra Kumar; Srinivasa K. G. 001; Tript Sharma; Vaibhav Kumar; Siddharth Singhal (J. Inf. Secur. Appl., 2020)

A multi-level classification and modified PSO clustering based ensemble approach for credit scoring. - Indu Singh; Narendra Kumar; Srinivasa K. G. 001; Shivam Maini; Umang Ahuja; Siddhant Jain (Appl. Soft Comput., 2021)

Artifact Reduction in Fundus Imaging using Cycle Consistent Adversarial Neural Networks. - Sai Koushik S. S.; K. G. Srinivasa 001 (CoRR, 2021)

Image forgery detection based on fusion of lightweight deep learning models. - Amit Doegar; Srinidhi Hiriyannaiah; Siddesh Gaddadevara Matt; Krishnarajanagar Gopaliyengar Srinivasa; Maitreyee Dutta (Turkish J. Electr. Eng. Comput. Sci., 2021)

IoT Solution for Enhancing the Quality of Life of Visually Impaired People. - G. M. Siddesh; K. G. Srinivasa 001 (Int. J. Grid High Perform. Comput., 2021)

Leveraging the fog-based machine learning model for ECG-based coronary disease prediction. - R. Hanumantharaju; K. N. Shreenath; B. J. Sowmya; K. G. Srinivasa 001 (Int. J. Bus. Intell. Data Min., 2022)

Fuzzy Inference-Propelled Sentence Ranking for Extractive Summary Generation. - Srinidhi Hiriyannaiah; G. M. Siddesh; K. G. Srinivasa 001 (Int. J. Decis. Support Syst. Technol., 2022)

Design of Context Cluster and Load Balanced Video Recommendation System in Cloud Computing. - R. Hanumantharaju; Sowmya B. J.; Aparna R.; K. N. Shreenath; K. G. Srinivasa 001; B. S. K. Sharanya (Int. J. Inf. Retr. Res., 2022)

Forecasting Stock Market Volume Price Using Sentimental and Technical Analysis. - G. M. Siddesh; S. R. Mani Sekhar; Srinidhi Hiriyannaiah; Srinivasa K. G. 001 (J. Inf. Technol. Res., 2022)

Deep visual ensemble similarity (DVESM) approach for visually aware recommendation and search in smart community. - Srinidhi Hiriyannaiah; G. M. Siddesh; K. G. Srinivasa 001 (J. King Saud Univ. Comput. Inf. Sci., 2022)

Fog based smart healthcare: a machine learning paradigms for IoT sector. - R. Hanumantharaju; K. N. Shreenath; B. J. Sowmya; K. G. Srinivasa 001 (Multim. Tools Appl., 2022)

A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning - Muralidhar Kurni; Mujeeb Shaik Mohammed; K. G. Srinivasa 001 (Springer, 2023)

Multilingual Speech Sentiment Recognition Using Spiking Neural Networks. - Shreya Parashar; K. G. Srinivasa 001 (BDA, 2023)

Skin-Vision: An Innovative Mobile-Based Automated Skin Disease Detection Application. - Garika Akshay; Mohammad Irfan; K. G. Srinivasa 001; Anurag Singh 002 (OCIT, 2023)

Multilingual Speech Recognition Using Reinforcement Learning. - A Yogi Athish; Srinivasa K. G. 001; M. Sivakumar (ICCCNT, 2023)

Maximizing Returns with Reinforcement Learning: A Paradigm Shift in Stock Market Portfolio Management. - Anirudh Bhakar; Priyanshu Senabaya Deori; Yash Vardhan Gautam; Srinivasa K. G. 001 (TENCON, 2023)

Multimodal Classification of Cognitive States in Alzheimer's Disease. - Mangipudi Sai Hemant; Shriniwas Raju Jagadabhi; Bhanu Teja Vidapu; Srinivasa K. G. 001 (TENCON, 2023)

Identification of authorship and prevention of fraudulent transactions/cybercrime using efficient high performance machine learning techniques. - B. J. Sowmya; R. Hanumantharaju; D. Pradeep Kumar; K. G. Srinivasa 001 (Int. J. Bus. Intell. Data Min., 2023)

DAMIAN - data accrual machine intelligence with augmented networks for contextually coherent creative story generation. - B. J. Sowmya; D. Pradeep Kumar; R. Hanumantharaju; K. G. Srinivasa 001 (Int. J. Bus. Intell. Data Min., 2023)

DeepLSGR: Neural collaborative filtering for recommendation systems in smart community. - Srinidhi Hiriyannaiah; G. M. Siddesh; K. G. Srinivasa 001 (Multim. Tools Appl., 2023)

Hybrid ABC and black hole algorithm with genetic operators optimized SVM ensemble based diagnosis of breast cancer. - Indu Singh; K. G. Srinivasa 001; Mridul Maurya; Aditya Aggarwal; Himanshu Sheokand; Harsh Gunwant; Mohit Dhalwal (Pattern Anal. Appl., 2023)

Fusion of Machine Learning and Deep Learning: A Hybrid Approach for Deepfake Detection. - Aditya Helode; Akash Yadav; Vishnu Prasad Verma; K. G. Srinivasa 001 (ICCCNT, 2024)

A novel approach for classification of Tor and non-Tor traffic using efficient feature selection methods. - Raju Gudla; Satyanarayana Vollala; Srinivasa K. G. 001; Ruhul Amin 001 (Expert Syst. Appl., 2024)

Application of Non-Immersive Virtual Reality in Cerebral Palsy Children: A Systematic Review. - Agrawal Luckykumar Dwarkadas; Viswanath Talasila; Sheeraz Kirmani; Rama Krishna Challa; K. G. Srinivasa 001 (Int. J. Imaging Syst. Technol., 2024)

A review of the application of virtual and augmented reality in physical and occupational therapy. - Agrawal Luckykumar Dwarkadas; Viswanath Talasila; Rama Krishna Challa; Srinivasa K. G. 001 (Softw. Pract. Exp., 2024)

Driver Profiling and Identification Based on Time Series Analysis. - Avantika Singh; Vipulesh Tiwari; K. G. Srinivasa 001 (Int. J. Intell. Transp. Syst. Res., 2024)

Hybrid salp swarm and grey wolf optimizer algorithm based ensemble approach for breast cancer diagnosis. - Krish Rustagi; Pranav Bhatnagar; Rishabh Mathur; Indu Singh; Srinivasa K. G. 001 (Multim. Tools Appl., 2024)

A Gamified Learning Framework to Cultivate Critical Thinking Skills in Students. - K. G. Srinivasa 001; Aman Singh; Kshitij Kumar Singh Chauhan (IEEE Trans. Educ., 2024)

Detection of Anomalies in Docker-Based Containers through Monitoring. - G. M. Siddesh; S. R. Mani Sekhar; K. G. Srinivasa 001 (Autom. Control. Comput. Sci., 2025)

TCC: Time constrained classification of VPN and non-VPN traffic using machine learning algorithms. - Raju Gudla; Satyanarayana Vollala; K. G. Srinivasa 001; Ruhul Amin 001 (Wirel. Networks, 2025)