Predicting the position of adjacent nodes with QoS in mobile ad hoc networks. - C. Chandru Vignesh; S. Karthik (Multim. Tools Appl., 2020)

Revamping land coverage analysis using aerial satellite image mapping. - Gowtham Rajmohan; Chandru Vignesh Chinnappan; John William Alfred Daniel; Sivaparthipan Chandrakrishan Balakrishnan; Bala Anand Muthu; Gunasekaran Manogaran (Trans. Emerg. Telecommun. Technol., 2021)

Adjacent Node based Energetic Association Factor Routing Protocol in Wireless Sensor Networks. - C. Chandru Vignesh; C. B. Sivaparthipan 001; J. Alfred Daniel; Gwanggil Jeon; Muthu BalaAnand (Wirel. Pers. Commun., 2021)

Digital teaching in the context of Chinese universities and their impact on students for Ubiquitous Applications. - Kexu Wu; Chaolin Li; Chandru Vignesh Chinnappan; J. Alfred Daniel (Comput. Electr. Eng., 2022)

Machine learning-based security active defence model - security active defence technology in the communication network. - Linjiang Xie; Feilu Hang; Wei Guo; Yao Lv; Wei Ou; C. Chandru Vignesh (Int. J. Internet Protoc. Technol., 2022)

Self-Regulated Learning and Scientific Research Using Artificial Intelligence for Higher Education Systems. - Xixi Huang; Lihui Dong; C. Chandru Vignesh; Praveen Kumar D. (Int. J. Technol. Hum. Interact., 2022)

Motion capture and evaluation system of football special teaching in colleges and universities based on deep learning. - Xiaohui Yin; C. Chandru Vignesh; Thanjai Vadivel (Int. J. Syst. Assur. Eng. Manag., 2022)

Context-specific discussion of Airbnb usage knowledge graphs for improving private social systems. - Salomi Samsudeen; Mohammed Hasan Ali; C. Chandru Vignesh; M. M. Kamruzzaman; Chander Prakash; Tamizharasi Thirugnanam; J. Alfred Daniel (J. Comb. Optim., 2023)

Analysis of the teaching quality using novel deep learning-based intelligent classroom teaching framework. - Feng Geng; John William Alfred Daniel; Chandru Vignesh Chinnappan (Prog. Artif. Intell., 2023)

Fully convolutional neural networks for LIDAR-camera fusion for pedestrian detection in autonomous vehicle. - J. Alfred Daniel; C. Chandru Vignesh; Bala Anand Muthu; R. Senthil Kumar; C. B. Sivaparthipan 001; Carlos Enrique Montenegro-Marín (Multim. Tools Appl., 2023)

Heuristic machine learning approaches for identifying phishing threats across web and email platforms. - Ramprasath Jayaprakash; Krishnaraj Natarajan; J. Alfred Daniel; Chandru Vignesh Chinnappan; Jayant Giri; Hong Qin 003; Saurav Mallik (Frontiers Artif. Intell., 2024)

6G assisted federated learning for continuous monitoring in wireless sensor network using game theory. - Surapaneni Phani Praveen; Mohammed Hasan Ali; Muhammad Aslam Jarwar; Chander Prakash; Chavva Ravi Kishore Reddy; L. Malliga; C. Chandru Vignesh (Wirel. Networks, 2024)