Unsupervised Machine Learning for Clustering the Infected Leaves Based on the Leaf-Colors. - K. Ashok Kumar; B. Muthu Kumar; VeeraMuthu A.; V. S. Mynavathi (WIR, 2018)

An Optimized Intelligent Driver's Aggressive Behaviour Prediction Model Using GA-LSTM. - D. Deva Hema; K. Ashok Kumar (Int. J. Perform. Eng., 2021)

A bio-inspired AlexNet-DrpXLm architype for an effective brain stroke lesion detection and classification. - Sunil Babu Melingi; Ramesh Kumar Mojjada; Vanga Karunakar Reddy; Ch. V. M. S. N. Pavan Kumar; K. Ashok Kumar (Concurr. Comput. Pract. Exp., 2022)

Levenberg-Marquardt -LSTM based Efficient Rear-end Crash Risk Prediction System Optimization. - D. Deva Hema; K. Ashok Kumar (Int. J. Intell. Transp. Syst. Res., 2022)

Fisher Scoring with Condition-Based Ensemble Supervised Learning Classification Technique for Prediction in PFZ. - R. Vinston Raja; K. Ashok Kumar (J. Uncertain Syst., 2022)

Malicious attack detection approach in cloud computing using machine learning techniques. - M. Arunkumar; K. Ashok Kumar (Soft Comput., 2022)

Financial derivative features based integrated potential fishing zone (IPFZ) Future forecast. - R. Vinston Raja; K. Ashok Kumar (J. Intell. Fuzzy Syst., 2023)

Optimized Deep Neural Network Based Intelligent Decision Support System for Traffic State Prediction. - D. Deva Hema; K. Ashok Kumar (Int. J. Intell. Transp. Syst. Res., 2023)

Optimization Driven Spike Deep Belief Neural Network classifier: a deep-learning based Multichannel Spike Sorting Neural Signal Processor (NSP) module for high-channel-count Brain Machine Interfaces (BMIs). - Vanga Karunakar Reddy; Sunil Babu Melingi; Ch. V. M. S. N. Pavan Kumar; K. Ashok Kumar; Ramesh Kumar Mojjada (Artif. Intell. Rev., 2023)

Novel optimised deep learning approach for an efficient traffic state prediction based on CAE-ICCDCS-GRU model. - D. Deva Hema; K. Ashok Kumar (Int. J. Bio Inspired Comput., 2024)

Enhanced genetic-chaos based grasshopper optimisation algorithm for efficient crash risk prediction using novel deep learning model. - D. Deva Hema; K. Ashok Kumar (Int. J. Mob. Commun., 2025)