Improving crop production using an agro-deep learning framework in precision agriculture.

Autor: Logeshwaran, J.¹ (AUTHOR), Srivastava, Durgesh² (AUTHOR), Kumar, K. Sree³ (AUTHOR), Rex, M. Jenolin³ (AUTHOR), Al-Rasheed, Amal⁴ (AUTHOR), Getahun, Masresha⁵ (AUTHOR) masreshaggetahun@gmail.com, Soufiene, Ben Othman⁶ (AUTHOR)

Publikováno v: BMC Bioinformatics. 11/1/2024, Vol. 25 Issue 1, p1-40. 40p.

Deep fuzzy nets approach for energy efficiency optimization in smart grids

Autor: Baz, Abdullah, Logeshwaran, J., Natarajan, Yuvaraj, Patel, Shobhit K.

Publikováno v: In Applied Soft Computing August 2024 161

Multi-Model Traffic Forecasting in Smart Cities using Graph Neural Networks and Transformer-based Multi-Source Visual Fusion for Intelligent Transportation Management.

Autor: Dhanasekaran, S., Gopal, Dhanalakshmi, Logeshwaran, J., Ramya, N., Salau, Ayodeji Olalekan

Publikováno v: International Journal of Intelligent Transportation Systems Research; Dec2024, Vol. 22 Issue 3, p518-541, 24p

Incremental RBF-based cross-tier interference mitigation for resource-constrained dense IoT networks in 5G communication system.

Autor: Alruwaili O; Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka, 72388, Saudi Arabia., Logeshwaran J; Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, 641202, Tamil Nadu, India., Natarajan Y; Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, 641062, India., Alrowaily MA; Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, 72388, Saudi Arabia., Patel SK; Department of Computer Engineering, Marwadi University, Rajkot, Gujarat, 360003, India., Armghan A; Department of Electrical Engineering. College of Engineering, Jouf University, Sakaka, 72388, Saudi Arabia.

Publikováno v: Heliyon [Heliyon] 2024 Jun 12; Vol. 10 (12), pp. e32849. Date of Electronic Publication: 2024 Jun 12 (Print Publication: 2024).

The Performance Evolution of Antivirus Security Systems in Ultradense Cloud Server Using Intelligent Deep Learning

Autor: Logeshwaran J

Publikováno v: BOHR International Journal of Computational Intelligence and Communication Network. 1:22-26

When creating an antivirus, not only the latest security mechanisms are taken into account, but also the needs of users. That’s why this antivirus works together at high speed. The program interface allows it to choose the most optimal function. Fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0ece98dcccf0c0cb7f29dce49f0d6de5
https://doi.org/10.54646/bijcicn.004