K. G. Srinivasa

According to our database, K. G. Srinivasa authored at least 99 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Hybrid ABC and black hole algorithm with genetic operators optimized SVM ensemble based diagnosis of breast cancer.

Indu Singh, K. G. Srinivasa, Mridul Maurya, Aditya Aggarwal, Himanshu Sheokand, Harsh Gunwant, Mohit Dhalwal

Pattern Anal. Appl., November, 2023

DeepLSGR: Neural collaborative filtering for recommendation systems in smart community.

Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa

Multim. Tools Appl., March, 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

Int. J. Bus. Intell. Data Min., 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

Int. J. Bus. Intell. Data Min., 2023

Multimodal Classification of Cognitive States in Alzheimer's Disease.

Mangipudi Sai Hemant, Shriniwas Raju Jagadabhi, Bhanu Teja Vidapu, Srinivasa K. G.

Proceedings of the IEEE Region 10 Conference, 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.

Proceedings of the IEEE Region 10 Conference, 2023

Multilingual Speech Recognition Using Reinforcement Learning.

A Yogi Athish, Srinivasa K. G., Sivakumar M

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Multilingual Speech Sentiment Recognition Using Spiking Neural Networks.

Shreya Parashar, K. G. Srinivasa

Proceedings of the Big Data and Artificial Intelligence - 11th International Conference, 2023

A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning

Muralidhar Kurni, Mujeeb Shaik Mohammed, K. G. Srinivasa

Springer, ISBN: 978-3-031-32652-3, 2023

2022

Fog based smart healthcare: a machine learning paradigms for IoT sector.

R. Hanumantharaju, K. N. Shreenath, B. J. Sowmya, K. G. Srinivasa

Multim. Tools Appl., 2022

Deep visual ensemble similarity (DVESM) approach for visually aware recommendation and search in smart community.

Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa

J. King Saud Univ. Comput. Inf. Sci., 2022

Forecasting Stock Market Volume Price Using Sentimental and Technical Analysis.

G. M. Siddesh, S. R. Mani Sekhar, Srinidhi Hiriyannaiah, Srinivasa K. G.

J. Inf. Technol. Res., 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, B. S. K. Sharanya

Int. J. Inf. Retr. Res., 2022

Fuzzy Inference-Propelled Sentence Ranking for Extractive Summary Generation.

Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa

Int. J. Decis. Support Syst. Technol., 2022

Leveraging the fog-based machine learning model for ECG-based coronary disease prediction.

R. Hanumantharaju, K. N. Shreenath, B. J. Sowmya, K. G. Srinivasa

Int. J. Bus. Intell. Data Min., 2022

2021

IoT Solution for Enhancing the Quality of Life of Visually Impaired People.

G. M. Siddesh, K. G. Srinivasa

Int. J. Grid High Perform. Comput., 2021

Artifact Reduction in Fundus Imaging using Cycle Consistent Adversarial Neural Networks.

Sai Koushik S. S., K. G. Srinivasa

CoRR, 2021

A multi-level classification and modified PSO clustering based ensemble approach for credit scoring.

Indu Singh, Narendra Kumar, Srinivasa K. G., Shivam Maini, Umang Ahuja, Siddhant Jain

Appl. Soft Comput., 2021

2020

Database intrusion detection using role and user behavior based risk assessment.

Indu Singh, Narendra Kumar, Srinivasa K. G., Tript Sharma, Vaibhav Kumar, Siddharth Singhal

J. Inf. Secur. Appl., 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

Int. J. Cogn. Informatics Nat. Intell., 2020

Predictive Analytical Model for Microblogging Data Using Asset Bubble Modelling.

Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa

Int. J. Cogn. Informatics Nat. Intell., 2020

Supervised ECG wave segmentation using convolutional LSTM.

Aman Malali, Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa, Sanjay N. T.

ICT Express, 2020

Chapter Eight - Air pollution control model using machine learning and IoT techniques.

Chetan Shetty, B. J. Sowmya, S. Seema, K. G. Srinivasa

Adv. Comput., 2020

2019

TwitSenti: A Real-Time Twitter Sentiment Analysis and Visualization Framework.

Jamuna S. Murthy, G. M. Siddesh, K. G. Srinivasa

J. Inf. Knowl. Manag., 2019

A Real-Time Twitter Trend Analysis and Visualization Framework.

Jamuna S. Murthy, G. M. Siddesh, K. G. Srinivasa

Int. J. Semantic Web Inf. Syst., 2019

An IoT-Based Framework for Health Monitoring Systems: A Case Study Approach.

N. Sudhakar Yadav, K. G. Srinivasa, B. Eswara Reddy

Int. J. Fog Comput., 2019

A Study on the Performance and Scalability of Apache Flink Over Hadoop MapReduce.

Pankaj Lathar, K. G. Srinivasa

Int. J. Fog Comput., 2019

Development of Community Based Intelligent Modules Using IoT to Make Cities Smarter.

Jagadish S. Kallimani, Chekuri Sailusha, Pankaj Lathar, K. G. Srinivasa

Int. J. Fog Comput., 2019

An Image Processing and Machine Learning Approach for Early Detection of Diseased Leaves.

Sowmya B. J., Chetan Shetty, S. Seema, K. G. Srinivasa

Int. J. Cyber Phys. Syst., 2019

Curriculum Enrichment in Empowering "Corporate-Ready" Individuals.

Ganeshayya Ishwarayya Shidaganti, S. Prakash, K. G. Srinivasa

Proceedings of the Fourth International Congress on Information and Communication Technology, 2019

2018

Network Data Analytics - A Hands-On Approach for Application Development

K. G. Srinivasa, G. M. Siddesh, Srinidhi Hiriyannaiah

Computer Communications and Networks, Springer, ISBN: 978-3-319-77799-3, 2018

Practical Social Network Analysis with Python

Krishna Raj P. M., Ankith Mohan, K. G. Srinivasa

Computer Communications and Networks, Springer, ISBN: 978-3-319-96745-5, 2018

Data Analytics Assisted Internet of Things Towards Building Intelligent Healthcare Monitoring Systems: IoT for Healthcare.

K. G. Srinivasa, Sowmya B. J., Abhinav Shikhar, Ritu Utkarsha, Aahan Singh

J. Organ. End User Comput., 2018

Smart Vehicular System based on the Internet of Things.

Midde Ranjit Reddy, K. G. Srinivasa, B. Eswara Reddy

J. Organ. End User Comput., 2018

Minimization of Energy in Smart Phone Application Development Using Code Analysis.

K. G. Srinivasa, Srinidhi Hiriyannaiah, G. M. Siddesh

Int. J. Open Source Softw. Process., 2018

Real-Time Streaming Data Analysis Using a Three-Way Classification Method for Sentimental Analysis.

Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa

Int. J. Inf. Technol. Web Eng., 2018

Data analytics on census data to predict the income and economic hierarchy.

K. G. Srinivasa, R. Sharath, S. Krishna Chaitanya, K. N. Nirupam, Sowmya B. J.

Int. J. Data Anal. Tech. Strateg., 2018

Semi-structured data analysis and visualisation using NoSQL.

Srinidhi Hiriyannaiah, G. M. Siddesh, P. Anoop, K. G. Srinivasa

Int. J. Big Data Intell., 2018

An efficient sensor integrated model for hosting real-time data monitoring applications on cloud.

N. Sudhakar Yadav, B. Eswara Reddy, K. G. Srinivasa

Int. J. Auton. Comput., 2018

Clustering trajectory-based objects in spatio networks.

Midde Ranjit Reddy, K. G. Srinivasa, B. Eswara Reddy

Int. J. Auton. Comput., 2018

Chapter Five - Comparative Study of Different In-Memory (No/New) SQL Databases.

Krishnarajanagar G. Srinivasa, Srinidhi Hiriyannaiah

Adv. Comput., 2018

Content-Based Music Classification Using Ensemble of Classifiers.

Manikanta Durga Srinivas Anisetty, Gagan K. Shetty, Srinidhi Hiriyannaiah, Siddesh Gaddadevara Matt, K. G. Srinivasa, Anita Kanavalli

Proceedings of the Intelligent Human Computer Interaction - 10th International Conference, 2018

Performance Analysis of Deep Learning Architectures for Recommendation Systems.

Devika Anil, Anagha Vembar, Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa

Proceedings of the 25th IEEE International Conference on High Performance Computing Workshops, 2018

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.

Soc. Netw. Anal. Min., 2017

Internet of Things (IOT) Solution for Increasing the Quality of Life of Physically Challenged People.

G. M. Siddesh, K. G. Srinivasa, Siddharth Kaushik, S. V. Varun, Vidhatri Subramanyam, Vinay M. Patil

J. Organ. End User Comput., 2017

Utility maximisation-based game theoretic approach for resource allocation in clouds.

K. G. Srinivasa

Int. J. Commun. Networks Distributed Syst., 2017

2016

Know Your World Better: Cloud Based Augmented Reality Android Application.

Srinivasa K. G., Satvik Jagannath, Aakash Nidhi

Int. J. Handheld Comput. Res., 2016

Microsense: Sensor Framework for IoT System-on-Chip.

Srinivasa K. G., Ganesh Hegde, Kushagra Mishra, Mohammad Nabeel Siddiqui, Abhishek Kumar, Pradeep Kumar D.

Int. J. Handheld Comput. Res., 2016

Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents.

K. G. Srinivasa, Abhinav Shikhar, J. S. Naveen, Sowmya B. J.

Int. J. Appl. Evol. Comput., 2016

Efficient Image Denoising for Effective Digitization using Image Processing Techniques and Neural Networks.

K. G. Srinivasa, Sowmya B. J., D. Pradeep Kumar, Chetan Shetty

Int. J. Appl. Evol. Comput., 2016

Project Based Learning for Internet of Things and Data Analytics: Experience Report of Learning from ET601X.

K. G. Srinivasa, Sowmya B. J.

Proceedings of the Eighth IEEE International Conference on Technology for Education, 2016

Performance Analysis of Java Virtual Machine for Machine Learning Workloads using Apache Spark.

N. Hema, K. G. Srinivasa, Saravanan Chidambaram, Sandeep Saraswat, Sujoy Saraswati, Ranganath Ramachandra, Jayashree B. Huttanagoudar

Proceedings of the International Conference on Informatics and Analytics, 2016

An Internet of Things Based Software Framework to Handle Medical Emergencies.

K. G. Srinivasa, Kartik S. Gayatri, Maaz Syed Adeeb, Nikhil N. Jannu

Proceedings of the Distributed Computing and Internet Technology, 2016

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

Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016

2015

Guide to High Performance Distributed Computing - Case Studies with Hadoop, Scalding and Spark

K. G. Srinivasa, Anil Kumar Muppalla

Computer Communications and Networks, Springer, ISBN: 978-3-319-13497-0, 2015

Phylogenetic Analysis Using MapReduce Programming Model.

G. M. Siddesh, K. G. Srinivasa, Ishank Mishra, Abhinav Anurag, Eklavya Uppal

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

A Case Study based Software Engineering Education using Open Source Tools.

Sowmya B. J., Srinidhi Hiriyannaiah, K. G. Srinivasa

Proceedings of the Joint Proceedings of the 3rd International Workshop on Quantitative Approaches to Software Quality (QuASoQ), 2015

2014

Game theoretic resource allocation in cloud computing.

K. G. Srinivasa, S. Srinidhi, K. Sharath Kumar, Vignesh Shenvi, U. Shashank Kaushik, Kushagra Mishra

Proceedings of the Fifth International Conference on the Applications of Digital Information and Web Technologies, 2014

SentenceRank - A graph based approach to summarize text.

Animesh Ramesh, K. G. Srinivasa, N. Pramod

Proceedings of the Fifth International Conference on the Applications of Digital Information and Web Technologies, 2014

2013

An Intelligent Network Intrusion Detection System Based on Multi-Modal Support Vector Machines.

Srinivasa K. G.

Int. J. Inf. Secur. Priv., 2013

GRFM: an efficient grid-based replication and fault tolerant middleware.

G. M. Siddesh, K. G. Srinivasa

Int. J. Comput. Sci. Eng., 2013

SLA-driven dynamic capacity forecasting and resource allocation with risk analysis on clouds.

G. M. Siddesh, K. G. Srinivasa

Int. J. Commun. Networks Distributed Syst., 2013

Extraction and interpretation of charts in technical documents.

Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy

Proceedings of the International Conference on Advances in Computing, 2013

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.

ACM SIGSOFT Softw. Eng. Notes, 2012

gNIDS: rule-based network intrusion detection system using genetic algorithms.

K. G. Srinivasa, N. Pramod

Int. J. Intell. Syst. Technol. Appl., 2012

Effects of Information Filters: A Phenomenon on the Web.

K. G. Srinivasa, N. Pramod, K. R. Venugopal, Lalit M. Patnaik

Int. J. Inf. Retr. Res., 2012

MeghaOS: A Framework for Scalable, Interoperable Cloud Based Operating System.

K. G. Srinivasa, Harish RaddiC. S., Mohan KrishnaS. H., Nidhi Venkatesh

Int. J. Cloud Appl. Comput., 2012

An Enterprise Mashup Integration Service Framework for Clouds.

G. M. Siddesh, K. G. Srinivasa

Int. J. Cloud Appl. Comput., 2012

Early Performance Prediction of Web Services

Ch. Ram Mohan Reddy, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, K. Rajani Kanth

CoRR, 2012

General Methodology for developing UML models from UI

Ch. Ram Mohan Reddy, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, K. Rajani Kanth

CoRR, 2012

2011

Analysis of projects and volunteer participation in large scale free and open source software ecosystem.

Krishna Raj P. M., Srinivasa K. G.

ACM SIGSOFT Softw. Eng. Notes, 2011

MapReduce Based Information Retrieval Algorithms for Efficient Ranking of Webpages.

Srinivasa K. G., Anil Kumar Muppalla, Bharghava Varun A., Amulya M.

Int. J. Inf. Retr. Res., 2011

Information extraction by an abstractive text summarization for an Indian regional language.

Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy

Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering, 2011

GRM: a reliable and fault tolerant data replication middleware for grid environment.

G. M. Siddesh, K. G. Srinivasa, K. R. Venugopal

Proceedings of the ICWET '11 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 25, 2011

An Adaptive Scheduler Framework for Complex Workflow Jobs on Grid Systems.

G. M. Siddesh, K. G. Srinivasa

Proceedings of the 13th IEEE International Conference on High Performance Computing & Communication, 2011

SLA - Driven Dynamic Resource Allocation on Clouds.

G. M. Siddesh, K. G. Srinivasa

Proceedings of the Advanced Computing, Networking and Security - International Conference, 2011

2010

Information retrieval by text summarization for an Indian regional language.

Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, 2010

Fault-Tolerant Middleware for Grid Computing.

K. G. Srinivasa, G. M. Siddesh, Sijo Cherian

Proceedings of the 12th IEEE International Conference on High Performance Computing and Communications, 2010

2009

Soft Computing for Data Mining Applications

K. R. Venugopal, K. G. Srinivasa, Lalit M. Patnaik

Studies in Computational Intelligence 190, Springer, ISBN: 978-3-642-00192-5, 2009

Soft Computing for XML Data Mining.

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

2008

A soft computing approach for data mining based query processing using rough sets and genetic algorithms.

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik

Int. J. Hybrid Intell. Syst., 2008

2007

A self-adaptive migration model genetic algorithm for data mining applications.

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik

Inf. Sci., 2007

Selective dissemination of XML documents based on genetically learned user model and Support Vector Machines.

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik

Intell. Data Anal., 2007

Statistical Analysis and Compression of DNA using Weighted Probability Approach and Modified Run-Length Encoding.

K. G. Srinivasa, Sagnik Dhar, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Selective Querying and Other Proposals for a Less Congested Gnutella Network.

K. G. Srinivasa, Anuj Bhatt, Sagnik Dhar, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the Distributed Computing and Internet Technology, 2007

Data Mining based Query Processing using Rough Sets and Genetic Algorithms.

K. G. Srinivasa, M. Jagadish, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

An efficient fuzzy based neuro - genetic algorithm for stock market prediction.

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik

Int. J. Hybrid Intell. Syst., 2006

A neural network based CBIR system using STI features and relevance feedback.

K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik

Intell. Data Anal., 2006

Non-repetitive DNA Sequence Compression Using Memoization.

K. G. Srinivasa, M. Jagadish, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the Biological and Medical Data Analysis, 7th International Symposium, 2006

Indexing XML Documents Using Self Adaptive Genetic Algorithms for Better Retreival.

K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the Frontiers of WWW Research and Development, 2006

2005

Sagaxsearch: an Xml Information Retrieval Mechanism Using Self Adaptive Genetic Algorithms.

K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik

Int. J. Comput. Intell. Appl., 2005

Dynamic Association Rule Mining using Genetic Algorithms.

P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik

Intell. Data Anal., 2005

A Self-Adaptive Migration Model Genetic Algorithms for Data Mining Applications.

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

A Dynamic Migration Model for Self-adaptive Genetic Algorithms.

K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Selective Dissemination of XML Documents Using GAs and SVM.

K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the Computational Intelligence and Security, International Conference, 2005

GaXsearch: An XML Information Retrieval Mechanism Using Genetic Algorithms.

K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004

Mining Top - <i>k</i> Ranked Webpages Using Simulated Annealing and Genetic Algorithms.

P. Deepa Shenoy, K. G. Srinivasa, Achint Oommen Thomas, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the Applied Computing, Second Asian Applied Computing Conference, 2004

2003

Evolutionary Approach for Mining Association Rules on Dynamic Databases.

P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Dynamic Subspace Clustering for Very Large High-Dimensional Databases.

P. Deepa Shenoy, K. G. Srinivasa, M. P. Mithun, K. R. Venugopal, Lalit M. Patnaik

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003