On optimal storage of books by size. - Thiruvengadam Radhakrishnan; K. Venkatesh (J. Am. Soc. Inf. Sci., 1978)

Global State Detection in Non-FIFO Networks. - Hon Fung Li; Thiruvengadam Radhakrishnan; K. Venkatesh (ICDCS, 1987)

Optimal Checkpointing and Local Recording for Domino-Free Rollback Recovery. - K. Venkatesh; Thiruvengadam Radhakrishnan; Hon Fung Li (Inf. Process. Lett., 1987)

Time Advancement in Distributed Event Simulation. - Hon Fung Li; K. Venkatesh; Thiruvengadam Radhakrishnan (J. Parallel Distributed Comput., 1990)

An integrated solution based approach to software development using unified reuse artifacts. - S. Srinath; K. Venkatesh; D. Janaki Ram (ACM SIGSOFT Softw. Eng. Notes, 1997)

A High Performance Parallel IP Lookup Technique Using Distibuted Memory Organization. - K. Venkatesh; S. Aravind; R. Ganapath; T. Srinivasan 001 (ITCC (1), 2004)

NEFCOP: A Neuro-Fuzzy Vehicle Collision Prediction System. - K. Venkatesh; Archana Ramesh; M. Alagusundaram; J. V. Sahana (CIMCA/IAWTIC, 2005)

Reconfigurable Architecture to Speed-up Modular Exponentiation. - K. Venkatesh; K. Pratibha; Suganya Annadurai; Lakshmi Kuppusamy (ICCST, 2019)

QoS improvisation of delay sensitive communication using SDN based multipath routing for medical applications. - K. Venkatesh; L. N. B. Srinivas; M. B. Mukesh Krishnan; A. Shanthini (Future Gener. Comput. Syst., 2019)

Moving Object Detection and Tracking Algorithm Using Hybrid Decomposition Parallel Processing. - M. Gomathy Nayagam; K. Ramar 001; K. Venkatesh; S. P. Raja (Intell. Autom. Soft Comput., 2022)

Revealing the novel precise subset identification and deduplication of audio substance over the shared public environment. - K. Venkatesh; D. Narasimhan (J. Supercomput., 2022)

A Construction of Object Detection Model for Acute Myeloid Leukemia. - K. Venkatesh; S. Pasupathy; S. P. Raja (Intell. Autom. Soft Comput., 2023)

Exploring K-Means Meta-Heuristic Techniques For Prediction of Anomalies In IoT-Enabled Industrial Systems. - T. Gnanasekaran; S. Girinath; K. Venkatesh; N. Valarmathi; Sunil Kumar Bandili; S. Balasubramani (ICCCNT, 2024)

Object Detection for Remote Sensing Images Using YOLOv8. - K. Venkatesh; Mohammad Farukh Hashmi (ICCCNT, 2024)

Optimal load balancing strategy-based centralised sensor for a WSN-based cloud-IoT framework using a hybrid meta-heuristic strategy. - G. S. R. Yogaraja; M. N. Thippeswamy 001; K. Venkatesh (Int. J. Auton. Adapt. Commun. Syst., 2024)

GIEnsemformerCADx: A hybrid ensemble learning approach for enhanced gastrointestinal cancer recognition. - Akella S. Narasimha Raju; K. Venkatesh; Budi Padmaja; G. Sucharitha Reddy (Multim. Tools Appl., 2024)

Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization. - Akella S. Narasimha Raju; K. Venkatesh; Ranjith Kumar Gatla; Marwa Metwally Eid; Aymen Flah; Zdenek Slanina; Ramy N. R. Ghaly (IEEE Access, 2025)

Medivision: Empowering Colorectal Cancer Diagnosis and Tumor Localization Through Supervised Learning Classifications and Grad-CAM Visualization of Medical Colonoscopy Images. - Akella S. Narasimha Raju; K. Venkatesh; Ranjith Kumar Gatla; Shaik Jakeer Hussain; Subba Rao Polamuri (Cogn. Comput., 2025)

Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis. - Akella S. Narasimha Raju; K. Venkatesh; M. Rajababu; Ranjith Kumar Gatla; Shaik Jakeer Hussain; G. Satya Mohan Chowdary; T. Ganga Bhavani; Mohammed Kareemullah; Sameer Algburi; Ali Majdi; Ahmed M. Abdulhadi; Wahaj Ahmad Khan (BMC Medical Imaging, 2025)