Journal of Machine and Computing


Journal of Machine and Computing (JMC) addresses the current research activities in machine and computing with examination of rigorous concepts of computation and is facilitated by the distinction between intelligence, mathematical, symbolical, and physical computations. JMC focuses machine and intelligence seems to be the current technical buzzword as everyone seems to be getting into this research. JMC welcomes submissions of innovative research, theoretical and practical significance that will support, and foster technology improvements related to Intelligence, Mechanical, Expert System, Robotics, Mechatronics and computation. Papers on theory, method, and modeling as well as on application topics are all invited.

Most Recent

A Robust Dual Watermarking using Grey Wolf Optimization, Selective Encryption and Fast Flexible De-Noising Convolution Neural Network

Sambhaji Marutirao Shedole and Santhi V, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Pages : 820-829

DOI : 10.53759/7669/jmc202404076

Published On : July 05, 2024


The Future of Neurodiagnosis: Deep Learning for Earlier Intervention

Rajkumar Govindarajan and Thirunadana Sikamani K, Department of Computer Science and Engineering, St. Peters Institute of Higher Education and Research, Avadi, Chennai, India.

Angati Kalyan Kumar and Komal Kumar N, Department of Computer Science and Engineering (Data Science), Madanapalle Institute of Technology & Science, Madanapalle, Andhra Pradesh, India.

Pages : 813-819

DOI : 10.53759/7669/jmc202404075

Published On : July 05, 2024


Combined Feature Set with Logistic Regression Model to Detect Credit Card Frauds in Real Time Applications

Prabhakaran N, Department of Computer Applications, Presidency College, Bangalore, Karnataka, India and Research Scholar, Faculty of Information and Communication Engineering, Anna University, Chennai, India.

Nedunchelian R, Department of Computer Science and Engineering, Excel Engineering College, Namakkal,Tamil Nadu, India.

Pages : 804-812

DOI : 10.53759/7669/jmc202404074

Published On : July 05, 2024


Enhancing Network Anomaly Intrusion Detection with IoT Data-driven BOA- CNN-BiGRU-AAM -Net Classification

Suresh G, Department of Artificial Intelligence and Data Science, Kings Engineering College, Sriperumbudur, Tamil Nadu, India.

Sathya M, Department of Information Technology, Nadar Saraswathi College of Engineering and Technology, Theni, India.

Arthi D, Department of Business Administration, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India.

Arulkumaran G, School of Computing and Information Technology, REVA University, Bengaluru, India.

Pages : 785-803

DOI : 10.53759/7669/jmc202404073

Published On : July 05, 2024