PSO for Graph-Based Segmentation of Wrist Bones in Bone Age Assessment. - P. Thangam 001; K. Thanushkodi; T. V. Mahendiran (Int. J. Comput. Commun. Control, 2013)

An enhancement to SePeCloud with improved security and efficient data management. - S. Savitha; P. Thangam 001; L. Latha 001 (Clust. Comput., 2019)

Artificial Intelligence-Based Digital Image Steganalysis. - Ahmed I. Iskanderani; Ibrahim Mustafa Mehedi; Abdulah Jeza Aljohani; Mohammad Shorfuzzaman; Farzana Akther; Thangam Palaniswamy; Shaikh Abdul Latif; Abdul Latif (Secur. Commun. Networks, 2021)

A field programmable gate array-based biomedical noise reduction framework using advanced trilateral filter. - M. Ram Kumar Raja; R. Naveen; Thangam Palaniswamy; T. V. Mahendiran; Neeraj Kumar Shukla; Rajesh Verma (Trans. Inst. Meas. Control, 2021)

Hybrid optimization based learning technique for multi-disease analytics from healthcare big data using optimal pre-processing, clustering and classifier. - Kavitha Parimanam; Latha Lakshmanan; Thangam Palaniswamy (Concurr. Comput. Pract. Exp., 2022)

Hyperparameter optimization based deep convolution neural network model for automated bone age assessment and classification. - Thangam Palaniswamy (Displays, 2022)

A novel TMGWO-SLBNC-based multidimensional feature subset selection and classification framework for frequent diagnosis of breast lesion abnormalities. - Marwa M. Ahmed; Thangam Palaniswamy (Int. J. Intell. Syst., 2022)

Sophisticated methods for noise filtering, subgroup discovery, and classification in big data analysis. - P. Kavitha 001; L. Latha 001; Thangam Palaniswamy (J. Intell. Fuzzy Syst., 2022)

Secure multimedia data processing scheme in medical applications. - Karthik Srinivasan; Geetanjali Rathee; M. Ram Kumar Raja; Naveen Jaglan; T. V. Mahendiran; Thangam Palaniswamy (Multim. Tools Appl., 2022)

High performance computation of human computer interface for neurodegenerative individuals using eye movements and deep learning technique. - Jayabrabu Ramakrishnan; Rajesh Doss; Thangam Palaniswamy; Raddad Faqihi; Dowlath Fathima; Karthik Srinivasan (J. Supercomput., 2022)

Internet of Things and Deep Learning Enabled Diabetic Retinopathy Diagnosis Using Retinal Fundus Images. - Thangam Palaniswamy; Mahendiran T. Vellingiri (IEEE Access, 2023)

Leveraging Hyperspectral Remote Sensing Imaging for Agricultural Crop Classification Using Coot Bird Optimization With Entropy-Based Feature Fusion Model. - Ibrahim Mustafa Mehedi; Muhammad Bilal 001; Shehzad Muhammad Hanif; Thangam Palaniswamy; Mahendiran T. Vellingiri (IEEE Access, 2024)

Remote Sensing and Decision Support System Applications in Precision Agriculture: Challenges and Possibilities. - Ibrahim Mustafa Mehedi; Shehzad Muhammad Hanif; Muhammad Bilal 001; Mahendiran T. Vellingiri; Thangam Palaniswamy (IEEE Access, 2024)

Artificial Intelligence With Deep Learning Based Automated Ear Infection Detection. - Ibrahim Mustafa Mehedi; Shehzad Muhammad Hanif; Muhammad Bilal 001; Mahendiran T. Vellingiri; Thangam Palaniswamy (IEEE Access, 2024)

Enhanced Remora Optimization with Deep Learning Model for Intelligent PMSM Drives Temperature Prediction in Electric Vehicles. - Abdul Latif; Ibrahim Mustafa Mehedi; Mahendiran T. Vellingiri; Rahtul Jannat Meem; Thangam Palaniswamy (Axioms, 2024)