Motion Intensity Code for Action Recognition in Video Using PCA and SVM. - J. Arunnehru; M. Kalaiselvi Geetha (MIKE, 2013)

Vision-Based Human Action Recognition in Surveillance Videos Using Motion Projection Profile Features. - J. Arunnehru; M. Kalaiselvi Geetha (MIKE, 2015)

Human Activity Recognition Based on Motion Projection Profile Features in Surveillance Videos Using Support Vector Machines and Gaussian Mixture Models. - J. Arunnehru; M. Kalaiselvi Geetha (SSCC, 2015)

Occlusion Detection Based on Fractal Texture Analysis in Surveillance Videos Using Tree-Based Classifiers. - J. Arunnehru; M. Kalaiselvi Geetha; T. Nanthini (SSCC, 2015)

Canonical Correlation-Based Feature Fusion Approach for Scene Classification. - J. Arunnehru; A. Yashwanth; Shaik Shammer (ISDA, 2017)

A proficient remote information responsibility check protocol in multi-cloud environment. - H. AnwarBasha; S. SasiKumar; D. Dhanasekaran; J. Arunnehru (Evol. Intell., 2021)

Identification of Landslide Vulnerability Zones and Triggering Factors Using Deep Neural Networks - An Experimental Analysis. - G. Bhargavi; J. Arunnehru (ICACDS (1), 2022)

A Deep Learning Approach for Automated Detection and Classification of Alzheimer's Disease. - Deepthi K. Oommen; J. Arunnehru (ICACDS (2), 2022)

Human Emotion Recognition from Body Posture with Machine Learning Techniques. - S. Vaijayanthi; J. Arunnehru (ICACDS (1), 2022)

Deep Learning Framework for Landslide Severity Prediction and Susceptibility Mapping. - G. Bhargavi; J. Arunnehru (Intell. Autom. Soft Comput., 2023)

A proficient video recommendation framework using hybrid fuzzy C means clustering and Kullback-Leibler divergence algorithms. - H. Anwar Basha; S. K. B. Sangeetha; S. Sasikumar; J. Arunnehru; M. Subramaniam (Multim. Tools Appl., 2023)