B. Manjunatha

Manjunatha B. did his BE in Mechanical Engineering, M.Tech in Production Engineering and System Technology and Ph.D in Mechanical Engineering. He is associated with New Horizon college of Engineering, Bengaluru since 2003. He has played a key role in implementing the innovative best practices of teaching-learning and research at NHCE since last 2 decades. He is actively involved in R&D and has published good number of papers in indexed journals and is a recognized research guide under Visveswaraya Technological University. He has guided PG and Ph.D students for their research work.

Publications

Detection of Ephemeral Sand River Flow Using Hybrid Sandpiper Optimization-Based CNN Model
Detection of Ephemeral Sand River Flow Using Hybrid Sandpiper Optimization-Based CNN Model
Arunadevi Thirumalraj, V. S. Anusuya, B. Manjunatha. © 2024. 20 pages.
Ephemeral sand rivers are a major supply of water in Southern Africa that flow continuously all year. The fact is a sizeable fraction of this water permeates the silt in the...
Sustainable Waste Management OOA-Enhanced MobileNetV2-TC Model for Trash Image Classification
Sustainable Waste Management OOA-Enhanced MobileNetV2-TC Model for Trash Image Classification
B. Manjunatha, K. Dinesh Kumar, Sam Goundar, Balasubramanian Prabhu Kavin, Gan Hong Seng. © 2024. 21 pages.
E-waste is an invisible, indirect waste that contaminates natural resources like the air, water, and soil, endangering the ecosystem, people, and animals. Long-term waste...
Development of an Intelligent System for Stock Market Prediction Using Enhanced Deep Learning Technique With Banking Data
Development of an Intelligent System for Stock Market Prediction Using Enhanced Deep Learning Technique With Banking Data
B. Manjunatha, V. Revathi, Balasubramanian Prabhu Kavin, Gan Hong Seng. © 2024. 27 pages.
The future may be unknown and uncertain, but there are still opportunities to make money by anticipating it. The request of AI and ML to stock market prediction is one such...
Artificial Intelligence Techniques to Optimize the Traffic in Urban Areas
Artificial Intelligence Techniques to Optimize the Traffic in Urban Areas
S. Vjii, L. Babitha, Manju Natha, Q. Mohammad, Navdeep Singh. © 2024. 16 pages.
This study delves into the potential of AI to transform urban conveyance by reinforcing traffic flow and automobile route growth. Improving transportation adeptness, hateful hate...