K. G. Srinivasa

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 40

Top Topics

Machine Learning

Diagnosis Of Breast Cancer

Top Venues

Int. J. Bus. Intell. Data Min.

J. Organ. End User Comput.

Int. J. Fog Comput.

Int. J. Commun. Networks Distributed Syst.

Publications

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) (2023)
Indu Singh, K. G. Srinivasa, Mridul Maurya, Aditya Aggarwal, Himanshu Sheokand, Harsh Gunwant, Mohit Dhalwal
Hybrid ABC and black hole algorithm with genetic operators optimized SVM ensemble based diagnosis of breast cancer. Pattern Anal. Appl. 26 (4) (2023)
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) (2023)
Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa
DeepLSGR: Neural collaborative filtering for recommendation systems in smart community. Multim. Tools Appl. 82 (6) (2023)
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) (2022)
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) (2022)
R. Hanumantharaju, Sowmya B. J., Aparna R., K. N. Shreenath, K. G. Srinivasa, B. S. K. Sharanya
Design of Context Cluster and Load Balanced Video Recommendation System in Cloud Computing. Int. J. Inf. Retr. Res. 12 (1) (2022)
R. Hanumantharaju, K. N. Shreenath, B. J. Sowmya, K. G. Srinivasa
Fog based smart healthcare: a machine learning paradigms for IoT sector. Multim. Tools Appl. 81 (26) (2022)
Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa
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) (2022)
Sai Koushik S. S., K. G. Srinivasa
Artifact Reduction in Fundus Imaging using Cycle Consistent Adversarial Neural Networks. CoRR (2021)
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) (2021)
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 (2020)
Aman Malali, Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa, Sanjay N. T.
Supervised ECG wave segmentation using convolutional LSTM. ICT Express 6 (3) (2020)
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) (2020)
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) (2020)
Jamuna S. Murthy, G. M. Siddesh, K. G. Srinivasa
TwitSenti: A Real-Time Twitter Sentiment Analysis and Visualization Framework. J. Inf. Knowl. Manag. 18 (2) (2019)
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) (2019)
Pankaj Lathar, K. G. Srinivasa
A Study on the Performance and Scalability of Apache Flink Over Hadoop MapReduce. Int. J. Fog Comput. 2 (1) (2019)
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) (2019)
Jamuna S. Murthy, G. M. Siddesh, K. G. Srinivasa
A Real-Time Twitter Trend Analysis and Visualization Framework. Int. J. Semantic Web Inf. Syst. 15 (2) (2019)
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) (2019)
Ganeshayya Ishwarayya Shidaganti, S. Prakash, K. G. Srinivasa
Curriculum Enrichment in Empowering "Corporate-Ready" Individuals. ICICT (2) (2019)
Midde Ranjit Reddy, K. G. Srinivasa, B. Eswara Reddy
Smart Vehicular System based on the Internet of Things. J. Organ. End User Comput. 30 (3) (2018)
K. G. Srinivasa, Srinidhi Hiriyannaiah, G. M. Siddesh
Minimization of Energy in Smart Phone Application Development Using Code Analysis. Int. J. Open Source Softw. Process. 9 (3) (2018)
Midde Ranjit Reddy, K. G. Srinivasa, B. Eswara Reddy
Clustering trajectory-based objects in spatio networks. Int. J. Auton. Comput. 3 (1) (2018)
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) (2018)
Devika Anil, Anagha Vembar, Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa
Performance Analysis of Deep Learning Architectures for Recommendation Systems. HiPC Workshops (2018)
Manikanta Durga Srinivas Anisetty, Gagan K. Shetty, Srinidhi Hiriyannaiah, Siddesh Gaddadevara Matt, K. G. Srinivasa, Anita Kanavalli
Content-Based Music Classification Using Ensemble of Classifiers. IHCI (2018)
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) (2018)
K. G. Srinivasa, R. Sharath, S. Krishna Chaitanya, K. N. Nirupam, Sowmya B. J.
Data analytics on census data to predict the income and economic hierarchy. Int. J. Data Anal. Tech. Strateg. 10 (3) (2018)
K. G. Srinivasa, Sowmya B. J., Abhinav Shikhar, Ritu Utkarsha, Aahan Singh
Data Analytics Assisted Internet of Things Towards Building Intelligent Healthcare Monitoring Systems: IoT for Healthcare. J. Organ. End User Comput. 30 (4) (2018)
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) (2018)
K. G. Srinivasa
Utility maximisation-based game theoretic approach for resource allocation in clouds. Int. J. Commun. Networks Distributed Syst. 18 (3/4) (2017)
G. M. Siddesh, K. G. Srinivasa, Siddharth Kaushik, S. V. Varun, Vidhatri Subramanyam, Vinay M. Patil
Internet of Things (IOT) Solution for Increasing the Quality of Life of Physically Challenged People. J. Organ. End User Comput. 29 (4) (2017)
K. G. Srinivasa, Kartik S. Gayatri, Maaz Syed Adeeb, Nikhil N. Jannu
An Internet of Things Based Software Framework to Handle Medical Emergencies. ICDCIT (2016)
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) (2016)
N. Hema, K. G. Srinivasa, Saravanan Chidambaram, Sandeep Saraswat, Sujoy Saraswati, Ranganath Ramachandra, Jayashree B. Huttanagoudar
Performance Analysis of Java Virtual Machine for Machine Learning Workloads using Apache Spark. ICIA (2016)
K. G. Srinivasa, Sowmya B. J.
Project Based Learning for Internet of Things and Data Analytics: Experience Report of Learning from ET601X. T4E (2016)
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)
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) (2016)
Sowmya B. J., Srinidhi Hiriyannaiah, K. G. Srinivasa
A Case Study based Software Engineering Education using Open Source Tools. QuASoQ/WAWSE/CMCE@APSEC (2015)
G. M. Siddesh, K. G. Srinivasa, Ishank Mishra, Abhinav Anurag, Eklavya Uppal
Phylogenetic Analysis Using MapReduce Programming Model. IPDPS Workshops (2015)
K. G. Srinivasa, S. Srinidhi, K. Sharath Kumar, Vignesh Shenvi, U. Shashank Kaushik, Kushagra Mishra
Game theoretic resource allocation in cloud computing. ICADIWT (2014)
Animesh Ramesh, K. G. Srinivasa, N. Pramod
SentenceRank - A graph based approach to summarize text. ICADIWT (2014)
Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy
Extraction and interpretation of charts in technical documents. ICACCI (2013)
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) (2013)
G. M. Siddesh, K. G. Srinivasa
GRFM: an efficient grid-based replication and fault tolerant middleware. Int. J. Comput. Sci. Eng. 8 (2) (2013)
K. G. Srinivasa, N. Pramod, K. R. Venugopal, Lalit M. Patnaik
Effects of Information Filters: A Phenomenon on the Web. Int. J. Inf. Retr. Res. 2 (2) (2012)
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) (2012)
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 (2012)
K. G. Srinivasa, N. Pramod
gNIDS: rule-based network intrusion detection system using genetic algorithms. Int. J. Intell. Syst. Technol. Appl. 11 (3/4) (2012)
Ch. Ram Mohan Reddy, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, K. Rajani Kanth
Early Performance Prediction of Web Services CoRR (2012)
G. M. Siddesh, K. G. Srinivasa
An Enterprise Mashup Integration Service Framework for Clouds. Int. J. Cloud Appl. Comput. 2 (2) (2012)
G. M. Siddesh, K. G. Srinivasa
An Adaptive Scheduler Framework for Complex Workflow Jobs on Grid Systems. HPCC (2011)
Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy
Information extraction by an abstractive text summarization for an Indian regional language. NLPKE (2011)
G. M. Siddesh, K. G. Srinivasa
SLA - Driven Dynamic Resource Allocation on Clouds. ADCONS (2011)
G. M. Siddesh, K. G. Srinivasa, K. R. Venugopal
GRM: a reliable and fault tolerant data replication middleware for grid environment. ICWET (2011)
K. G. Srinivasa, G. M. Siddesh, Sijo Cherian
Fault-Tolerant Middleware for Grid Computing. HPCC (2010)
Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy
Information retrieval by text summarization for an Indian regional language. NLPKE (2010)
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) (2008)
K. G. Srinivasa, M. Jagadish, K. R. Venugopal, Lalit M. Patnaik
Data Mining based Query Processing using Rough Sets and Genetic Algorithms. CIDM (2007)
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) (2007)
K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
A self-adaptive migration model genetic algorithm for data mining applications. Inf. Sci. 177 (20) (2007)
K. G. Srinivasa, Anuj Bhatt, Sagnik Dhar, K. R. Venugopal, Lalit M. Patnaik
Selective Querying and Other Proposals for a Less Congested Gnutella Network. ICDCIT (2007)
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)
K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik
Indexing XML Documents Using Self Adaptive Genetic Algorithms for Better Retreival. APWeb (2006)
K. G. Srinivasa, M. Jagadish, K. R. Venugopal, Lalit M. Patnaik
Non-repetitive DNA Sequence Compression Using Memoization. ISBMDA (2006)
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) (2006)
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) (2006)
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) (2005)
K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik
GaXsearch: An XML Information Retrieval Mechanism Using Genetic Algorithms. Australian Conference on Artificial Intelligence (2005)
K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
An Efficient Fuzzy based Neuro - Genetic Algorithm for Stock Market Prediction. IICAI (2005)
P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
Dynamic Association Rule Mining using Genetic Algorithms. Intell. Data Anal. 9 (5) (2005)
K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik
Selective Dissemination of XML Documents Using GAs and SVM. CIS (1) (2005)
K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
A Self-Adaptive Migration Model Genetic Algorithms for Data Mining Applications. IICAI (2005)
K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik
A Dynamic Migration Model for Self-adaptive Genetic Algorithms. IDEAL (2005)
P. Deepa Shenoy, K. G. Srinivasa, Achint Oommen Thomas, K. R. Venugopal, Lalit M. Patnaik
Ranked Webpages Using Simulated Annealing and Genetic Algorithms. AACC (2004)
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)
P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik
Evolutionary Approach for Mining Association Rules on Dynamic Databases. PAKDD (2003)