Novel Machine Learning for Human Actions Classification Using Histogram of Oriented Gradients and Sparse Representation. - B. Uma Maheswari; R. Sonia; M. P. Rajakumar; J. Ramya (Inf. Technol. Control., 2021)

Health monitoring and fault prediction using a lightweight deep convolutional neural network optimized by Levy flight optimization algorithm. - M. P. Rajakumar; J. Ramya; B. Uma Maheswari (Neural Comput. Appl., 2021)

HPWO-LS-based deep learning approach with S-ROA-optimized optic cup segmentation for fundus image classification. - J. Ramya; M. P. Rajakumar; B. Uma Maheswari (Neural Comput. Appl., 2021)

A Survey on Brain-Computer Interface and Related Applications. - Krishna Pai; Rakhee Kallimani; Sridhar Iyer; B. Uma Maheswari; Rajashri Khanai; Dattaprasad Torse (CoRR, 2022)

Application of machine learning algorithms to predict survival of micro small and medium enterprises in India. - A. Mansurali; B. Uma Maheswari; R. Sujatha 004 (Int. J. Data Anal. Tech. Strateg., 2022)

Alzheimer's Disease Segmentation and Classification on MRI Brain Images Using Enhanced Expectation Maximization Adaptive Histogram (EEM-AH) and Machine Learning. - J. Ramya; B. Uma Maheswari; M. P. Rajakumar; R. Sonia (Inf. Technol. Control., 2022)

Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images. - J. Ramya; M. P. Rajakumar; B. Uma Maheswari (J. Digit. Imaging, 2022)

Dynamic differential annealing-based anti-spoofing model for fingerprint detection using CNN. - B. Uma Maheswari; M. P. Rajakumar; J. Ramya (Neural Comput. Appl., 2022)

An efficient fault tolerance scheme based enhanced firefly optimization for virtual machine placement in cloud computing. - Adlin Sheeba; B. Uma Maheswari (Concurr. Comput. Pract. Exp., 2023)

Unravelling the gait and balance: A novel approach for detecting depression in young healthy individuals. - Lakshmana Phaneendra Maguluri; Viyyapu Lokeshwari Vinya; V. Goutham; B. Uma Maheswari; Boddepalli Kiran Kumar; Syed Musthafa; S. Manikandan; Suraj Srivastava; Neha Munjal (J. Intell. Fuzzy Syst., 2023)

Biotic Stress Classification of Pear Leaves Diseases Using Stacking Ensemble Approaches. - C. Sugunadevi; Rimjhim Padam Singh; B. Uma Maheswari (CoCoLe, 2024)

Enhancing Online Safety: Phishing URL Detection Using Machine Learning and Explainable AI. - Bhupathi Vishva Pavani; Desham Mahitha; B. Uma Maheswari (ICCCNT, 2024)

Mitigating the Curse of Dimensionality in Heart-Disease Risk Prediction Through the Use of Different Feature-Engineering Techniques. - Sushree Chinmayee Patra; B. Uma Maheswari; Rocío Pérez de Prado (IJCNN, 2024)

Duo-H: An Effectual Consensus Algorithm Using Two-Tier Shard Consortium Blockchain Mechanism for Enhanced Privacy Protection. - C. H. Sarada Devi; R. Anand; R. Hemalatha; B. Uma Maheswari (Int. J. Netw. Manag., 2024)

Secure smart city application using webservice model and mayfly optimization-based lightweight CNN. - Adlin Sheeba; R. Rajalakshmi; B. Uma Maheswari; A. Shamila Ebenezer (Trans. Emerg. Telecommun. Technol., 2024)

Network intrusion detection and prevention strategy with data encryption using hybrid detection classifier. - C. Pradeepthi; B. Uma Maheswari (Multim. Tools Appl., 2024)

Explainable deep-neural-network supported scheme for tuberculosis detection from chest radiographs. - B. Uma Maheswari; Dahlia Sam; Nitin Mittal; Abhishek Sharma; Sandeep Kaur; Sameh S. Askar; Mohamed Abouhawwash (BMC Medical Imaging, 2024)

Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification. - A. Karthik 008; Sridhar Patthi; B. Uma Maheswari; J. Sirisha Devi; Abhaya Kumar Pradhan; G. Balaji; G. Nallasivan; A. Rajaram (Biomed. Signal Process. Control., 2025)

Ensemble Machine Learning Models for Corporate Credit Risk Prediction: A Comparative Study. - R. Sujatha 004; D. Kavitha; B. Uma Maheswari; K. Gautham Ajay (SN Comput. Sci., 2025)