Application of Parallel K-Means Clustering Algorithm for Prediction of Optimal Path in Self Aware Mobile Ad-Hoc Networks with Link Stability. - Likewin Thomas; B. Annappa (ACC (4), 2011)

CAMP: Congestion Adaptive Multipath Routing Protocol for VANETs. - Raviteja B. L.; Annappa B.; Mohit P. Tahiliani (ADCONS, 2011)

Utilization of map-reduce for parallelization of resource scheduling using MPI: PRS. - Likewin Thomas; B. Annappa (ICCCS, 2011)

Parallelized K-Means clustering algorithm for self aware mobile ad-hoc networks. - Likewin Thomas; Kiran Manjappa; B. Annappa; G. Ram Mohana Reddy (ICCCS, 2011)

Multilevel Image Encryption - S. Rakesh; Ajitkumar A. Kaller; B. C. Shadakshari; B. Annappa (CoRR, 2012)

Privacy and trust in cloud database using threshold-based secret sharing. - Rahul Dutta; B. Annappa (ICACCI, 2013)

Protection of data in unsecured public cloud environment with open, vulnerable networks using threshold-based secret sharing. - Rahul Dutta; Annappa B. (Netw. Protoc. Algorithms, 2014)

An Optimal Process Model for a Real Time Process. - Likewin Thomas; Manoj Kumar M. V; Annappa Basava; Vishwanath Kadaba Puttanna (ATAED@Petri Nets/ACSD, 2015)

Capturing the Sudden Concept Drift in Process Mining. - Manoj Kumar M. V; Likewin Thomas; Annappa Basava (ATAED@Petri Nets/ACSD, 2015)

An Efficient Framework and Access Control Scheme for Cloud Health Care. - Saravana kumar N.; Rajya Lakshmi G. V.; Annappa B. (CloudCom, 2015)

An Improved Web Page Recommendation System Using Partitioning and Web Usage Mining. - Jyotsna Chanda; B. Annappa (IPAC, 2015)

Workload characteristics and resource aware Hadoop scheduler. - M. Divya; B. Annappa (ReTIS, 2015)

An Incentivized Approach for Fair Participation in Wireless Ad hoc Networks. - Arka Rai Choudhuri; S. Kalyanasundaram; Shriyak Sridhar; Annappa B. (CoRR, 2015)

Feature selection using Markov clustering and maximum spanning tree in high dimensional data. - Neha Bisht; Annappa Basava (IC3, 2016)

Community detection using meta-heuristic approach: Bat algorithm variants. - Jigyasha Sharma; B. Annappa (IC3, 2016)

Automatic Identification and Ranking of Emergency Aids in Social Media Macro Community. - Bhaskar Gautam; Annappa Basava (FIRE (Working Notes), 2017)

Prediction based dynamic resource provisioning in virtualized environments. - Bane Raman Raghunath; Annappa B. (ICCE, 2017)

Social network pruning for building optimal social network: A user perspective. - Sumith N.; Annappa B.; Swapan Bhattacharya (Knowl. Based Syst., 2017)

When and Where?: Behavior Dominant Location Forecasting with Micro-Blog Streams. - Bhaskar Gautam; Annappa Basava; Abhishek Singh; Amit Agrawal (ICDM Workshops, 2018)

A holistic approach to influence maximization in social networks: STORIE. - Sumith N.; Annappa B.; Swapan Bhattacharya (Appl. Soft Comput., 2018)

Influence maximization in large social networks: Heuristics, models and parameters. - Sumith N.; Annappa B.; Swapan Bhattacharya (Future Gener. Comput. Syst., 2018)

Transcriptional processes: Models and inference. - Keerthi S. Shetty; Annappa B. (J. Bioinform. Comput. Biol., 2018)

Blockchain based Data Access Control using Smart Contracts. - Adya Kiran; Samvid Dharanikota; Annappa Basava (TENCON, 2019)

Context Aware VM Placement Optimization Technique for Heterogeneous IaaS Cloud. - Ashwin Kumar Kulkarni; B. Annappa (IEEE Access, 2019)

Clumped-MCEM: Inference for multistep transcriptional processes. - Keerthi S. Shetty; Annappa B. (Comput. Biol. Chem., 2019)

Performance prediction of data streams on high-performance architecture. - Bhaskar Gautam; Annappa Basava (Hum. centric Comput. Inf. Sci., 2019)

Text-mining-based Fake News Detection Using Ensemble Methods. - Harita Reddy; Namratha Raj; Manali Gala; Annappa Basava (Int. J. Autom. Comput., 2020)

Real-time Big Data Analytics Framework with Data Blending Approach for Multiple Data sources in Smart City Applications. - Manjunatha S.; B. Annappa (Scalable Comput. Pract. Exp., 2020)

A Novel Artificial Intelligence-Based Lung Nodule Segmentation and Classification System on CT Scans. - Shubham Dodia; B. Annappa; Mahesh Padukudru Anand (CVIP (2), 2021)

COVID-19: Automatic detection from X-ray images by utilizing deep learning methods. - Bhawna Nigam; Ayan Nigam; Rahul Jain; Shubham Dodia; Nidhi Arora; B. Annappa (Expert Syst. Appl., 2021)

GPU-aware resource management in heterogeneous cloud data centers. - Ashwin Kumar Kulkarni; B. Annappa (J. Supercomput., 2021)

An Efficient Deep Transfer Learning Approach for Classification of Skin Cancer Images. - Prithviraj Purushottam Naik; B. Annappa; Shubham Dodia (CVIP (1), 2022)

A Novel Bi-level Lung Cancer Classification System on CT Scans. - Shubham Dodia; B. Annappa; Mahesh Padukudru Anand (MIUA, 2022)

Recent advancements in deep learning based lung cancer detection: A systematic review. - Shubham Dodia; Annappa B.; Mahesh Padukudru Anand (Eng. Appl. Artif. Intell., 2022)

Editorial: AI and Healthcare Financial Management (HFM) towards sustainable development. - Ananth Rao; M. V. Manoj Kumar; Nanda Kumar Bidare Sastry; Immanuel Azaad Moonesar; Arkalgud Ramaprasad; Alicia Núñez Mondaca; B. Annappa; Karan Bhanot; Wathiq Mansoor (Frontiers Artif. Intell., 2022)

A novel receptive field-regularized V-net and nodule classification network for lung nodule detection. - Shubham Dodia; Annappa Basava; Mahesh Padukudru Anand (Int. J. Imaging Syst. Technol., 2022)

Diabetic Retinopathy Detection Using Novel Loss Function in Deep Learning. - Saurabh Singh; B. Annappa; Shubham Dodia (CVIP (1), 2023)

Cross-Database Facial Expression Recognition using CNN with Attention Mechanism. - Jatin Chandra; Annappa B.; R. Rashmi Adyapady (ICCCNT, 2023)

Light-weight Deep Learning Model for Cataract Detection using Novel Activation Function. - Prakhar Singh; Bhumik Naveen; Apurba Ranjan Mohapatra; Annappa B.; Shubham Dodia (ICCCNT, 2023)

A comprehensive review of facial expression recognition techniques. - R. Rashmi Adyapady; B. Annappa (Multim. Syst., 2023)

A Workflow Scheduling Approach With Modified Fuzzy Adaptive Genetic Algorithm in IaaS Clouds. - Naela Rizvi; Dharavath Ramesh; Lipo Wang; Annappa Basava (IEEE Trans. Serv. Comput., 2023)

An ensemble approach using a frequency-based and stacking classifiers for effective facial expression recognition. - R. Rashmi Adyapady; B. Annappa (Multim. Tools Appl., 2023)

A Multimodal Contrastive Federated Learning for Digital Healthcare. - D. N. Sachin; B. Annappa; Sateesh Ambasange; Alan E. Tony (SN Comput. Sci., 2023)

FedLSF: Federated Local Graph Learning via Specformers. - Ram Samarth B. B.; B. Annappa; D. N. Sachin (DCOSS-IoT, 2024)

Partial Convolution U-Net for Inpainting Distorted Images. - R. Rashmi Adyapady; B. Annappa; Prem Sagar (ICCCNT, 2024)

Semantic Segmentation of Remotely Sensed Images using Multisource Data: An Experimental Analysis. - Aarabhi Putty; B. Annappa; R. Prajwal; Sankar Pariserum Perumal (ICCCNT, 2024)

Federated Split Learning with HyperNetworks for Medical Image Classification. - S. Sindhura; B. Annappa; D. N. Sachin (ICCCNT, 2024)

A Dual Phase Approach for Addressing Class Imbalance in Land-Use and Land-Cover Mapping From Remotely Sensed Images. - Aarabhi Putty; B. Annappa; R. Prajwal; Sankar Pariserum Perumal (IEEE Access, 2024)

FedCure: A Heterogeneity-Aware Personalized Federated Learning Framework for Intelligent Healthcare Applications in IoMT Environments. - D. N. Sachin; Annappa Basava; Saumya Hegde; Chunduru Sri Abhijit; Sateesh Ambesange (IEEE Access, 2024)

PIONEER: An interest-aware POI Recommendation Engine. - Sanjeev K. Cowlessur; Annappa Basava; Bibudhendu Pati (Computación y Sistemas (CyS), 2024)

ARIMA-PID: container auto scaling based on predictive analysis and control theory. - Nisarg S. Joshi; Raghav Raghuwanshi; Yash M. Agarwal; B. Annappa; D. N. Sachin (Multim. Tools Appl., 2024)

Federated learning for digital healthcare: concepts, applications, frameworks, and challenges. - D. N. Sachin; B. Annappa; Sateesh Ambesange (Computing, 2024)

KAC SegNet: A Novel Kernel-Based Active Contour Method for Lung Nodule Segmentation and Classification Using Dense AlexNet Framework. - Shubham Dodia; B. Annappa; Mahesh Padukudru Anand (Int. J. Inf. Technol. Decis. Mak., 2024)

Efficient Kalman filter based deep learning approaches for workload prediction in cloud and edge environments. - M. R. Naveen Kumar; B. Annappa; Vishwas Yadav (Computing, 2025)

BENN: Balanced Ensemble Neural Network for Handling Class Imbalance in Big Data. - Sneha Halebeedu Ramesh; Annappa Basava; Sankar Pariserum Perumal (Expert Syst. J. Knowl. Eng., 2025)

EdgeFedNet: Edge Server Based Communication and Computation Efficient Federated Learning. - L. Gowtham; B. Annappa; D. N. Sachin (SN Comput. Sci., 2025)

Smart client selection strategies for enhanced federated learning in digital healthcare applications. - D. N. Sachin; Annappa B.; Sateesh Ambesange (Multim. Tools Appl., 2025)