Výsledky vyhledávání

Akademický článek

A hybrid deep learning-based intrusion detection system for EV and UAV charging stations

Publikováno v: Automatika, Vol 65, Iss 4, Pp 1558-1578 (2024)

This paper proposes a novel approach that leverages a hybrid deep learning framework called the Squirrel Search-optimized Attention-Deep Recurrent Neural Network (SS-ADRNN) to optimize the management of charging stations, ensuring efficient resource

Externí odkaz: https://doaj.org/article/9f5ee111c55e4ec9b3bb8aa826721d81

Zobrazit plný text záznamu

Akademický článek

Predicting and Forecasting of Vehicle Charging Station Using ECNN with DHFO Algorithm

Autor: Rosebell Paul, Mercy Paul Selvan

Publikováno v: Energies, Vol 17, Iss 17, p 4308 (2024)

The forecast of the optimal placement of a charging station (CS) according to the real-time consumption of electric vehicles is a subject of urgency in this new era. The demand of a charging station in an area based on the trend of consumption can be

Externí odkaz: https://doaj.org/article/8d2da15e011a44ab992958b2175d1979

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Nature-Inspired Energy Enhancement Technique for Wireless Sensor Networks

Autor: James Deva Koresh Hezekiah, Karnam Chandrakumar Ramya, Mercy Paul Selvan, Vishnu Murthy Kumarasamy, Dipak Kumar Sah, Malathi Devendran, Sivakumar Sabapathy Arumugam, Rajagopal Maheswar

Publikováno v: Energies, Vol 16, Iss 20, p 7021 (2023)

Wireless Sensor Networks (WSN) play a major role in various applications, yet maintaining energy efficiency remains a critical challenge due to their limited energy availability. Network lifetime is one of the primary parameters for analyzing the per

Externí odkaz: https://doaj.org/article/3c9182c962734c6eb6d5ba456aae70fa

Zobrazit plný text záznamu

Plný text ve formátu HTML