ECG Signal Preprocessing and SVM Classifier-Based Abnormality Detection in Remote Healthcare Applications. - C. Venkatesan; P. Karthigaikumar; Anand Paul 001; S. Satheeskumaran; Rajagopal Kumar 001 (IEEE Access, 2018)

Mobile cloud computing for ECG telemonitoring and real-time coronary heart disease risk detection. - C. Venkatesan; P. Karthigaikumar; S. Satheeskumaran (Biomed. Signal Process. Control., 2018)

A novel LMS algorithm for ECG signal preprocessing and KNN classifier based abnormality detection. - C. Venkatesan; P. Karthigaikumar; R. Varatharajan 001 (Multim. Tools Appl., 2018)

Contourlet transform based adaptive nonlinear diffusion filtering for speckle noise removal in ultrasound images. - L. Jubairahmed; S. Satheeskumaran; C. Venkatesan (Clust. Comput., 2019)

FPGA implementation of modified error normalized LMS adaptive filter for ECG noise removal. - C. Venkatesan; P. Karthigaikumar; R. Varatharajan 001 (Clust. Comput., 2019)

Discrete stationary wavelet transform and SVD-based digital image watermarking for improved security. - Rajakumar Chellappan; S. Satheeskumaran; C. Venkatesan; S. Saravanan (Int. J. Comput. Sci. Eng., 2021)

Design and implementation of chicken egg incubator for hatching using IoT. - L. Niranjan; C. Venkatesan; A. R. Suhas; S. Satheeskumaran; S. Aaquib Nawaz (Int. J. Comput. Sci. Eng., 2021)

Real-time ECG signal pre-processing and neuro fuzzy-based CHD risk prediction. - S. Satheeskumaran; C. Venkatesan; S. Saravanan (Int. J. Comput. Sci. Eng., 2021)

Safety driven intelligent autonomous vehicle for smart cities using IoT. - K. Balachander; C. Venkatesan; Kumar R. (Int. J. Pervasive Comput. Commun., 2021)

Mutated Cleavages of Images for Stealth Disclosure: A Hopfield Neural Network Attractor (HNNA) Approach. - Lakshmi Chandrasekaran; Karuppusamy Thenmozhi; C. Venkatesan; A. Seshadhri; John Bosco Balaguru Rayappan; Rengarajan Amirtharajan (Neural Process. Lett., 2021)

Incentive-based Energy-efficient Federated Learning Aggregation for Intrusion Detection in IoT Sensor Network. - C. Venkatesan; S. Jeevanantham; Rebekka B. 001 (ICCCNT, 2023)

Lightweight Certificate-less Digital Signature Scheme for WSNs. - Rhithick Murali; Vivek Arunachalam; S. Jeevanantham; C. Venkatesan; Rebekka B. 001 (PKIA, 2023)

Guest Editorial: Smart Measurement in Machine Vision for Challenging Applications. - C. Venkatesan; Fadi M. Al-Turjman; Danilo Pelusi (IEEE Instrum. Meas. Mag., 2023)

Energy-Aware Federated Learning for AQI Pollutants Forecasting in Edge Networks. - C. Venkatesan; S. Jeevanantham; Rebekka B. 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Modified Playfair for Text File Encryption and Meticulous Decryption with Arbitrary Fillers by Septenary Quadrate Pattern. - N. Sugirtham; R. Sherine Jenny; B. Thiyaneswaran; S. Kumarganesh; C. Venkatesan; K. Martin Sagayam 001; Lam Dang; Linh Dinh; Hien Dang 001 (Int. J. Networked Distributed Comput., 2024)

Distributed neuro-fuzzy routing for energy-efficient IoT smart city applications in WSN. - S. Jeevanantham; C. Venkatesan; Rebekka B. 001 (Telecommun. Syst., 2024)

A Lightweight Physical Layer Authentication-Based Blockchain Consensus Mechanism for Edge Networks. - C. Venkatesan; S. Jeevanantham; Rebekka B. 001 (IEEE Trans. Netw. Serv. Manag., 2025)