Deep learning challenges and prospects in wireless sensor network deployment
Y Qiu, L Ma, R Priyadarshi - Archives of Computational Methods in …, 2024 - Springer
This paper explores the transformative integration of deep learning applications in the
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …
Exploring machine learning solutions for overcoming challenges in IoT-based wireless sensor network routing: a comprehensive review
R Priyadarshi - Wireless Networks, 2024 - Springer
An industry-wide paradigm change has been sparked by the growth of Internet of Things
(IoT)-based Wireless Sensor Networks (WSNs), which has made reliable and effective …
(IoT)-based Wireless Sensor Networks (WSNs), which has made reliable and effective …
Enhancing robot path planning through a twin-reinforced chimp optimization algorithm and evolutionary programming algorithm
The importance of efficient path planning (PP) cannot be overstated in the domain of robots,
as it involves the utilization of intelligent algorithms to determine the optimal trajectory for …
as it involves the utilization of intelligent algorithms to determine the optimal trajectory for …
Optimizing dynamic economic dispatch through an enhanced Cheetah-inspired algorithm for integrated renewable energy and demand-side management
K Nagarajan, A Rajagopalan, M Bajaj, R Sitharthan… - Scientific Reports, 2024 - nature.com
This study presents the Enhanced Cheetah Optimizer Algorithm (ECOA) designed to tackle
the intricate real-world challenges of dynamic economic dispatch (DED). These complexities …
the intricate real-world challenges of dynamic economic dispatch (DED). These complexities …
Unravelling blue landscape fragmentation effects on ecosystem services in urban agglomerations
The blue landscape (BL), which refers to the wetlands, rivers, lakes, and other bodies of
water, is of immense importance for a sustainable environment. It provides a variety of …
water, is of immense importance for a sustainable environment. It provides a variety of …
Performance and robustness analysis of V-Tiger PID controller for automatic voltage regulator
This paper presents a comprehensive study on the implementation and analysis of PID
controllers in an automated voltage regulator (AVR) system. A novel tuning technique …
controllers in an automated voltage regulator (AVR) system. A novel tuning technique …
Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review
M Khani, S Jamali, MK Sohrabi… - Transactions on …, 2024 - Wiley Online Library
This paper reviews recent research on resource allocation in 5G cloud‐based radio access
networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the …
networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the …
Enhanced abnormal data detection hybrid strategy based on heuristic and stochastic approaches for efficient patients rehabilitation
Over the last few years, substantial research has been conducted towards developing
efficient abnormal detection techniques while considering efficiency, accuracy, high …
efficient abnormal detection techniques while considering efficiency, accuracy, high …
[HTML][HTML] A Moving Metaverse: QoE challenges and standards requirements for immersive media consumption in autonomous vehicles
Abstract The evolution of Autonomous Vehicles (AVs) has blurred the distinction between
drivers and passengers, resulting in increased demand for in-car entertainment …
drivers and passengers, resulting in increased demand for in-car entertainment …
Remote intelligent perception system for multi-object detection
Introduction During the last few years, a heightened interest has been shown in classifying
scene images depicting diverse robotic environments. The surge in interest can be attributed …
scene images depicting diverse robotic environments. The surge in interest can be attributed …