K. G. Srinivasa

97 papers B 1C 8Misc 2Journal 53Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
A post-quantum hierarchical and adaptive LWE-based secret image sharing scheme with verifiable reconstruction.
Inf. Sci.
Kamna Sahu, K. G. Srinivasa, Satyanarayana Vollala
2025 J jnl
Detection of Anomalies in Docker-Based Containers through Monitoring.
Autom. Control. Comput. Sci.
G. M. Siddesh, S. R. Mani Sekhar, K. G. Srinivasa
2025 — conf
LLM-Based Model Compression for Efficient on-Device Learning.
ICHMS
Aryan Raj, K. G. Srinivasa, Harshit Kumar Chaubey, Siri Arelli
2025 J jnl
TCC: Time constrained classification of VPN and non-VPN traffic using machine learning algorithms.
Wirel. Networks
Raju Gudla, Satyanarayana Vollala, K. G. Srinivasa, Ruhul Amin
2024 J jnl
A Gamified Learning Framework to Cultivate Critical Thinking Skills in Students.
IEEE Trans. Educ.
K. G. Srinivasa, Aman Singh, Kshitij Kumar Singh Chauhan
2024 J jnl
Application of Non-Immersive Virtual Reality in Cerebral Palsy Children: A Systematic Review.
Int. J. Imaging Syst. Technol.
Agrawal Luckykumar Dwarkadas, Viswanath Talasila, Sheeraz Kirmani, Rama Krishna Challa, K. G. Srinivasa
2024 J jnl
Driver Profiling and Identification Based on Time Series Analysis.
Int. J. Intell. Transp. Syst. Res.
Avantika Singh, Vipulesh Tiwari, K. G. Srinivasa
2024 — conf
Fusion of Machine Learning and Deep Learning: A Hybrid Approach for Deepfake Detection.
ICCCNT
Aditya Helode, Akash Yadav, Vishnu Prasad Verma, K. G. Srinivasa
2023 — book
A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning
Muralidhar Kurni, Mujeeb Shaik Mohammed, K. G. Srinivasa
2023 J jnl
DAMIAN - data accrual machine intelligence with augmented networks for contextually coherent creative story generation.
Int. J. Bus. Intell. Data Min.
B. J. Sowmya, D. Pradeep Kumar, R. Hanumantharaju, K. G. Srinivasa
2023 J jnl
DeepLSGR: Neural collaborative filtering for recommendation systems in smart community.
Multim. Tools Appl.
Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa
2023 J jnl
Hybrid ABC and black hole algorithm with genetic operators optimized SVM ensemble based diagnosis of breast cancer.
Pattern Anal. Appl.
Indu Singh, K. G. Srinivasa, Mridul Maurya, Aditya Aggarwal, Himanshu Sheokand, Harsh Gunwant, Mohit Dhalwal
2023 J jnl
Identification of authorship and prevention of fraudulent transactions/cybercrime using efficient high performance machine learning techniques.
Int. J. Bus. Intell. Data Min.
B. J. Sowmya, R. Hanumantharaju, D. Pradeep Kumar, K. G. Srinivasa
2023 — conf
Multilingual Speech Sentiment Recognition Using Spiking Neural Networks.
BDA
Shreya Parashar, K. G. Srinivasa
2023 — conf
Skin-Vision: An Innovative Mobile-Based Automated Skin Disease Detection Application.
OCIT
Garika Akshay, Mohammad Irfan, K. G. Srinivasa, Anurag Singh
2022 J jnl
Deep visual ensemble similarity (DVESM) approach for visually aware recommendation and search in smart community.
J. King Saud Univ. Comput. Inf. Sci.
Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa
2022 J jnl
Design of Context Cluster and Load Balanced Video Recommendation System in Cloud Computing.
Int. J. Inf. Retr. Res.
R. Hanumantharaju, Sowmya B. J., Aparna R., K. N. Shreenath, K. G. Srinivasa, B. S. K. Sharanya
2022 J jnl
Fuzzy Inference-Propelled Sentence Ranking for Extractive Summary Generation.
Int. J. Decis. Support Syst. Technol.
Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa
2022 J jnl
Leveraging the fog-based machine learning model for ECG-based coronary disease prediction.
Int. J. Bus. Intell. Data Min.
R. Hanumantharaju, K. N. Shreenath, B. J. Sowmya, K. G. Srinivasa
2021 J jnl
Artifact Reduction in Fundus Imaging using Cycle Consistent Adversarial Neural Networks.
CoRR
Sai Koushik S. S., K. G. Srinivasa
2021 J jnl
IoT Solution for Enhancing the Quality of Life of Visually Impaired People.
Int. J. Grid High Perform. Comput.
G. M. Siddesh, K. G. Srinivasa
2020 J jnl
Chapter Eight - Air pollution control model using machine learning and IoT techniques.
Adv. Comput.
Chetan Shetty, B. J. Sowmya, S. Seema, K. G. Srinivasa
2020 J jnl
Data Analytic Techniques for Developing Decision Support System on Agrometeorological Parameters for Farmers.
Int. J. Cogn. Informatics Nat. Intell.
Sowmya B. J., S. Krishna Chaitanya, S. Seema, K. G. Srinivasa
2020 J jnl
Predictive Analytical Model for Microblogging Data Using Asset Bubble Modelling.
Int. J. Cogn. Informatics Nat. Intell.
Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa
2020 J jnl
Supervised ECG wave segmentation using convolutional LSTM.
ICT Express
Aman Malali, Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa, Sanjay N. T.
2019 J jnl
A Real-Time Twitter Trend Analysis and Visualization Framework.
Int. J. Semantic Web Inf. Syst.
Jamuna S. Murthy, G. M. Siddesh, K. G. Srinivasa
2019 J jnl
A Study on the Performance and Scalability of Apache Flink Over Hadoop MapReduce.
Int. J. Fog Comput.
Pankaj Lathar, K. G. Srinivasa
2019 J jnl
An Image Processing and Machine Learning Approach for Early Detection of Diseased Leaves.
Int. J. Cyber Phys. Syst.
Sowmya B. J., Chetan Shetty, S. Seema, K. G. Srinivasa
2019 J jnl
An IoT-Based Framework for Health Monitoring Systems: A Case Study Approach.
Int. J. Fog Comput.
N. Sudhakar Yadav, K. G. Srinivasa, B. Eswara Reddy
2019 — conf
Curriculum Enrichment in Empowering "Corporate-Ready" Individuals.
ICICT (2)
Ganeshayya Ishwarayya Shidaganti, S. Prakash, K. G. Srinivasa
2019 J jnl
Development of Community Based Intelligent Modules Using IoT to Make Cities Smarter.
Int. J. Fog Comput.
Jagadish S. Kallimani, Chekuri Sailusha, Pankaj Lathar, K. G. Srinivasa
2019 J jnl
TwitSenti: A Real-Time Twitter Sentiment Analysis and Visualization Framework.
J. Inf. Knowl. Manag.
Jamuna S. Murthy, G. M. Siddesh, K. G. Srinivasa
2018 J jnl
An efficient sensor integrated model for hosting real-time data monitoring applications on cloud.
Int. J. Auton. Comput.
N. Sudhakar Yadav, B. Eswara Reddy, K. G. Srinivasa
2018 J jnl
Clustering trajectory-based objects in spatio networks.
Int. J. Auton. Comput.
Midde Ranjit Reddy, K. G. Srinivasa, B. Eswara Reddy
2018 — conf
Content-Based Music Classification Using Ensemble of Classifiers.
IHCI
Manikanta Durga Srinivas Anisetty, Gagan K. Shetty, Srinidhi Hiriyannaiah, Siddesh Gaddadevara Matt, K. G. Srinivasa, Anita Kanavalli
2018 J jnl
Data Analytics Assisted Internet of Things Towards Building Intelligent Healthcare Monitoring Systems: IoT for Healthcare.
J. Organ. End User Comput.
K. G. Srinivasa, Sowmya B. J., Abhinav Shikhar, Ritu Utkarsha, Aahan Singh
2018 J jnl
Data analytics on census data to predict the income and economic hierarchy.
Int. J. Data Anal. Tech. Strateg.
K. G. Srinivasa, R. Sharath, S. Krishna Chaitanya, K. N. Nirupam, Sowmya B. J.
2018 J jnl
Minimization of Energy in Smart Phone Application Development Using Code Analysis.
Int. J. Open Source Softw. Process.
K. G. Srinivasa, Srinidhi Hiriyannaiah, G. M. Siddesh
2018 — book
Network Data Analytics - A Hands-On Approach for Application Development
K. G. Srinivasa, G. M. Siddesh, Srinidhi Hiriyannaiah
2018 — conf
Performance Analysis of Deep Learning Architectures for Recommendation Systems.
HiPC Workshops
Devika Anil, Anagha Vembar, Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa
2018 — book
Practical Social Network Analysis with Python
Krishna Raj P. M., Ankith Mohan, K. G. Srinivasa
2018 J jnl
Real-Time Streaming Data Analysis Using a Three-Way Classification Method for Sentimental Analysis.
Int. J. Inf. Technol. Web Eng.
Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa
2018 J jnl
Semi-structured data analysis and visualisation using NoSQL.
Int. J. Big Data Intell.
Srinidhi Hiriyannaiah, G. M. Siddesh, P. Anoop, K. G. Srinivasa
2018 J jnl
Smart Vehicular System based on the Internet of Things.
J. Organ. End User Comput.
Midde Ranjit Reddy, K. G. Srinivasa, B. Eswara Reddy
2017 J jnl
Internet of Things (IOT) Solution for Increasing the Quality of Life of Physically Challenged People.
J. Organ. End User Comput.
G. M. Siddesh, K. G. Srinivasa, Siddharth Kaushik, S. V. Varun, Vidhatri Subramanyam, Vinay M. Patil
2017 J jnl
Utility maximisation-based game theoretic approach for resource allocation in clouds.
Int. J. Commun. Networks Distributed Syst.
K. G. Srinivasa
2016 C conf
A Simulation based learning for Computer Organization Education.
ICCE
K. G. Srinivasa, Sowmya B. J., Chandrika Prasad, K. Madhavi
2016 Misc conf
An Internet of Things Based Software Framework to Handle Medical Emergencies.
ICDCIT
K. G. Srinivasa, Kartik S. Gayatri, Maaz Syed Adeeb, Nikhil N. Jannu
2016 J jnl
Efficient Image Denoising for Effective Digitization using Image Processing Techniques and Neural Networks.
Int. J. Appl. Evol. Comput.
K. G. Srinivasa, Sowmya B. J., D. Pradeep Kumar, Chetan Shetty
2016 — conf
Paving the Future of Vehicle Maintenance, Breakdown Assistance and Weather Prediction Using IoT in Automobiles.
FICTA (1)
Sowmya B. J., Chetan Shetty, D. Pradeep Kumar, K. G. Srinivasa
2016 — conf
Performance Analysis of Java Virtual Machine for Machine Learning Workloads using Apache Spark.
ICIA
N. Hema, K. G. Srinivasa, Saravanan Chidambaram, Sandeep Saraswat, Sujoy Saraswati, Ranganath Ramachandra, Jayashree B. Huttanagoudar
2016 — conf
Project Based Learning for Internet of Things and Data Analytics: Experience Report of Learning from ET601X.
T4E
K. G. Srinivasa, Sowmya B. J.
2016 J jnl
Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents.
Int. J. Appl. Evol. Comput.
K. G. Srinivasa, Abhinav Shikhar, J. S. Naveen, Sowmya B. J.
2016 C conf
VidhyaSangam: A Cost-Effective Video Learning Solution for Class-Room and Students Personal Use.
ICCE
Nagabhushana A. Matad, K. G. Srinivasa, Lenin Fernandes
2015 — conf
A Case Study based Software Engineering Education using Open Source Tools.
QuASoQ/WAWSE/CMCE@APSEC
Sowmya B. J., Srinidhi Hiriyannaiah, K. G. Srinivasa
2015 — book
Guide to High Performance Distributed Computing - Case Studies with Hadoop, Scalding and Spark
K. G. Srinivasa, Anil Kumar Muppalla
2015 — conf
Phylogenetic Analysis Using MapReduce Programming Model.
IPDPS Workshops
G. M. Siddesh, K. G. Srinivasa, Ishank Mishra, Abhinav Anurag, Eklavya Uppal
2014 — conf
Game theoretic resource allocation in cloud computing.
ICADIWT
K. G. Srinivasa, S. Srinidhi, K. Sharath Kumar, Vignesh Shenvi, U. Shashank Kaushik, Kushagra Mishra
2014 — conf
SentenceRank - A graph based approach to summarize text.
ICADIWT
Animesh Ramesh, K. G. Srinivasa, N. Pramod
2013 — conf
Extraction and interpretation of charts in technical documents.
ICACCI
Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy
2013 J jnl
GRFM: an efficient grid-based replication and fault tolerant middleware.
Int. J. Comput. Sci. Eng.
G. M. Siddesh, K. G. Srinivasa
2013 J jnl
SLA-driven dynamic capacity forecasting and resource allocation with risk analysis on clouds.
Int. J. Commun. Networks Distributed Syst.
G. M. Siddesh, K. G. Srinivasa
2012 J jnl
An Enterprise Mashup Integration Service Framework for Clouds.
Int. J. Cloud Appl. Comput.
G. M. Siddesh, K. G. Srinivasa
2012 J jnl
Early Performance Prediction of Web Services
CoRR
Ch. Ram Mohan Reddy, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, K. Rajani Kanth
2012 J jnl
Effects of Information Filters: A Phenomenon on the Web.
Int. J. Inf. Retr. Res.
K. G. Srinivasa, N. Pramod, K. R. Venugopal, Lalit M. Patnaik
2012 J jnl
General Methodology for developing UML models from UI
CoRR
Ch. Ram Mohan Reddy, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, K. Rajani Kanth
2012 J jnl
MeghaOS: A Framework for Scalable, Interoperable Cloud Based Operating System.
Int. J. Cloud Appl. Comput.
K. G. Srinivasa, Harish Raddi C. S., Mohan Krishna S. H., Nidhi Venkatesh
2012 J jnl
gNIDS: rule-based network intrusion detection system using genetic algorithms.
Int. J. Intell. Syst. Technol. Appl.
K. G. Srinivasa, N. Pramod
2011 C conf
An Adaptive Scheduler Framework for Complex Workflow Jobs on Grid Systems.
HPCC
G. M. Siddesh, K. G. Srinivasa
2011 — conf
GRM: a reliable and fault tolerant data replication middleware for grid environment.
ICWET
G. M. Siddesh, K. G. Srinivasa, K. R. Venugopal
2011 — conf
Information extraction by an abstractive text summarization for an Indian regional language.
NLPKE
Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy
2011 — conf
SLA - Driven Dynamic Resource Allocation on Clouds.
ADCONS
G. M. Siddesh, K. G. Srinivasa
2010 C conf
Fault-Tolerant Middleware for Grid Computing.
HPCC
K. G. Srinivasa, G. M. Siddesh, Sijo Cherian
2010 — ed.
Information and Communication Technologies - International Conference, ICT 2010, Kochi, Kerala, India, September 7-9, 2010. Proceedings
ICT
Vinu V. Das, R. Vijayakumar, K. G. Srinivasa, Hatim A. Aboalsamh, Mohammad Hammoudeh, Vahid Salmani, Dinesh Kumar Tyagi, Anjali Mohapatra, Bharatheesh Jaysimha, Eliathamby Ambikairajah, Jonathan M. Blackledge
2010 — conf
Information retrieval by text summarization for an Indian regional language.
NLPKE
Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy
2009 — book
Soft Computing for Data Mining Applications
K. R. Venugopal, K. G. Srinivasa, Lalit M. Patnaik
2009 — ch.
Soft Computing for XML Data Mining.
Encyclopedia of Data Warehousing and Mining
K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
2008 J jnl
A soft computing approach for data mining based query processing using rough sets and genetic algorithms.
Int. J. Hybrid Intell. Syst.
K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
2007 J jnl
A self-adaptive migration model genetic algorithm for data mining applications.
Inf. Sci.
K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
2007 C conf
Data Mining based Query Processing using Rough Sets and Genetic Algorithms.
CIDM
K. G. Srinivasa, M. Jagadish, K. R. Venugopal, Lalit M. Patnaik
2007 Misc conf
Selective Querying and Other Proposals for a Less Congested Gnutella Network.
ICDCIT
K. G. Srinivasa, Anuj Bhatt, Sagnik Dhar, K. R. Venugopal, Lalit M. Patnaik
2007 J jnl
Selective dissemination of XML documents based on genetically learned user model and Support Vector Machines.
Intell. Data Anal.
K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
2007 — conf
Statistical Analysis and Compression of DNA using Weighted Probability Approach and Modified Run-Length Encoding.
IICAI
K. G. Srinivasa, Sagnik Dhar, K. R. Venugopal, Lalit M. Patnaik
2006 J jnl
A neural network based CBIR system using STI features and relevance feedback.
Intell. Data Anal.
K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik
2006 J jnl
An efficient fuzzy based neuro - genetic algorithm for stock market prediction.
Int. J. Hybrid Intell. Syst.
K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
2006 C conf
Indexing XML Documents Using Self Adaptive Genetic Algorithms for Better Retreival.
APWeb
K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik
2006 — conf
Non-repetitive DNA Sequence Compression Using Memoization.
ISBMDA
K. G. Srinivasa, M. Jagadish, K. R. Venugopal, Lalit M. Patnaik
2005 C conf
A Dynamic Migration Model for Self-adaptive Genetic Algorithms.
IDEAL
K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik
2005 — conf
A Self-Adaptive Migration Model Genetic Algorithms for Data Mining Applications.
IICAI
K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
2005 — conf
An Efficient Fuzzy based Neuro - Genetic Algorithm for Stock Market Prediction.
IICAI
K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
2005 J jnl
Dynamic Association Rule Mining using Genetic Algorithms.
Intell. Data Anal.
P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
2005 — conf
GaXsearch: An XML Information Retrieval Mechanism Using Genetic Algorithms.
Australian Conference on Artificial Intelligence
K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik
2005 J jnl
Sagaxsearch: an Xml Information Retrieval Mechanism Using Self Adaptive Genetic Algorithms.
Int. J. Comput. Intell. Appl.
K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik
2005 — conf
Selective Dissemination of XML Documents Using GAs and SVM.
CIS (1)
K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik
2004 — conf
Mining Top -
AACC
P. Deepa Shenoy, K. G. Srinivasa, Achint Oommen Thomas, K. R. Venugopal, Lalit M. Patnaik
2003 C conf
Dynamic Subspace Clustering for Very Large High-Dimensional Databases.
IDEAL
P. Deepa Shenoy, K. G. Srinivasa, M. P. Mithun, K. R. Venugopal, Lalit M. Patnaik
2003 B conf
Evolutionary Approach for Mining Association Rules on Dynamic Databases.
PAKDD
P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik