An efficient cooperative routing algorithm for large-scale wireless networks based on capacity and location
DP Kumar, PP Saradhi - International Journal of …, 2021 - inderscienceonline.com
Cooperative communication has been extensively used in small-scale wireless networks, by
virtue of its capability to mitigate the fading effects. Extending cooperative communication …
virtue of its capability to mitigate the fading effects. Extending cooperative communication …
Futuristic analysis of machine learning based routing protocols in wireless ad hoc networks
S Kaushik, K Tripathi, R Gupta… - 2021 Fourth …, 2021 - ieeexplore.ieee.org
With achievements of Machine learning over the past years many computer networks and
artificial intelligence actively using Machine learning architecture and its technology to …
artificial intelligence actively using Machine learning architecture and its technology to …
Research on intelligent home design of internet of things based on ZigBee
J Yuan, Y He - International Journal of Communication …, 2021 - inderscienceonline.com
With the rapid development of information technology, improving the intelligent level of
family life and modern life style is the trend of future development. Based on the analysis of …
family life and modern life style is the trend of future development. Based on the analysis of …
Small target detection method based on feature fusion for deep learning in state grid environment evaluation
D Su, Y Zhang, L Wang, F Wang… - International …, 2022 - inderscienceonline.com
Aiming at the problem that small and medium-sized targets cannot be detected in real time
in high-resolution images, a new target detection network model is proposed. Firstly, the …
in high-resolution images, a new target detection network model is proposed. Firstly, the …
Explainable AI in Deep Learning Based Classification of Fetal Ultrasound Image Planes
A Harikumar, S Surendran, S Gargi - Procedia Computer Science, 2024 - Elsevier
Fetal ultrasound images are widely used for visualizing fetal development during pregnancy.
These ultrasound image planes provide information about the anatomy of the fetus, thus …
These ultrasound image planes provide information about the anatomy of the fetus, thus …
Reinforcement Learning-Based Connectivity Restoration in an Ocean Network of Fishing Vessels
S Surendran, A Montresor… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
An Offshore Communication Network (OCN) is a network of fishing vessels at sea aimed at
providing wireless Internet access over the ocean. The connectivity of fishing vessels is …
providing wireless Internet access over the ocean. The connectivity of fishing vessels is …
Model selection for path loss prediction in wireless networks
U Lavanya, S Mupparaju, P Patnala… - 2020 International …, 2020 - ieeexplore.ieee.org
Path loss prediction is an important task in mobile communication networks. Quality of
communication between nodes depend on the environment in which the network is …
communication between nodes depend on the environment in which the network is …
Enhancing Vehicular Ad-Hoc Networks Through Intelligent Routing Algorithm Optimization
LH Teixeira - 2024 - search.proquest.com
The concept of smart cities has gained considerable momentum in recent years, with
vehicular communication becoming a vital component of Intelligent Traffic Systems (ITS) …
vehicular communication becoming a vital component of Intelligent Traffic Systems (ITS) …
Cluster Detection and Maintenance in Mobile Wireless Network Users
R Aiswarya, S Surendran - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Clustering plays a major role in the connectivity of nodes in a mobile ad-hoc wireless
network. Due to the mobility of nodes, topology of the network becomes dynamic. Clustering …
network. Due to the mobility of nodes, topology of the network becomes dynamic. Clustering …
Computer Vision and Reinforcement Learning in Traffic Systems: Prioritizing Efficient Urban Mobility and Gridlock Prevention
A Eeswaran, S Duvvuri, B Naidu, N Lalithamani - 2024 - researchsquare.com
Traffic monitoring and traffic light management are crucial for city planning, effective policy-
making, reducing travel times, pollution control, and quality of life. Solutions to this problem …
making, reducing travel times, pollution control, and quality of life. Solutions to this problem …