A novel Moore-Penrose pseudo-inverse weight-based Deep Convolution Neural Network for bacterial leaf blight disease detection system in rice plant. - T. Daniya; S. Vigneshwari (Adv. Eng. Softw., 2022)

Deep Neural Network for Disease Detection in Rice Plant Using the Texture and Deep Features. - T. Daniya; S. Vigneshwari (Comput. J., 2022)

Rice Plant Disease Detection Using Sensing Recognition Strategy Based on Artificial Intelligence. - T. Daniya; Ch. Vidyadhari; Srilakshmi Aluri (J. Mobile Multimedia, 2022)

Intrusion detection using optimized ensemble classification in fog computing paradigm. - Ramkumar M. P.; T. Daniya; Pauliah David Mano Paul; S. Rajakumar (Knowl. Based Syst., 2022)

Shuffled shepherd social optimization based deep learning for rice leaf disease classification and severity percentage prediction. - Thavasilingam Daniya; Vigneshwari Srinivasan (Concurr. Comput. Pract. Exp., 2023)

Fuzzy Neighbors and Deep Learning-Assisted Spark Model for Imbalanced Classification of Big Data. - G. NaliniPriya; M. Geetha; D. Sudha; T. Daniya (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2023)

Rider Water Wave-enabled deep learning for disease detection in rice plant. - T. Daniya; S. Vigneshwari (Adv. Eng. Softw., 2023)

Network Intrusion Detection and Mitigation Using Hybrid Optimization Integrated Deep Q Network. - G. S. R. Emil Selvan; T. Daniya; J. P. Ananth 001; K. Suresh Kumar (Cybern. Syst., 2024)

IoT Enabled Soil Moisture and Heat Level Prediction Using Chimp Shuffled Shepherd Optimization-Based Deep LSTM for Plant Health Monitoring. - Kishore Bhamidipati; G. V. Sriramakrishnan; T. Daniya; J. Ragaventhiran (Int. J. Inf. Technol. Decis. Mak., 2024)