Results 31 to 40 of about 410 (152)

Junction Temperature Prediction of Insulated-Gate Bipolar Transistors in Wind Power Systems Based on an Improved Honey Badger Algorithm

Energies, 2022
To reduce carbon dioxide emissions, wind power generation is receiving more attention. The conversion of wind energy into electricity requires frequent use of insulated-gate bipolar transistors (IGBTs).
Chao Zhou, Bing Gao, Haiyue Yang, Xudong Zhang, Jiaqi Liu, Lingling Li   +5 more
doaj   +1 more source

Energy Consumption Prediction and Optimization of Electric Vehicles Based on RLS and Improved SOA

IEEE Access
The new energy vehicle industry is facing new challenges. To predict and optimize the energy consumption of electric vehicles, this study predicts energy consumption based on the energy consumption characteristics of the electric vehicle power system and
Chunling Liu
doaj   +1 more source

Air Pollutant Analysis and AQI Prediction Based on GRA and Improved SOA-SVR by Considering COVID-19

Atmosphere, 2021
Since COVID-19 pneumonia broke out, the Chinese government has taken a series of measures to control the spread of the epidemic, which has made the air quality of Taiyuan in February 2020 significantly better than during the same period in previous years.
Ting Xu, Huichao Yan, Yanping Bai
doaj   +1 more source

Robust Fractional MPPT-Based Moth-Flame Optimization Algorithm for Thermoelectric Generation Applications

Energies, 2022
Depending on the temperature difference between the hot and cold sides of the thermoelectric generator (TEG), the output performance of the TEG can be produced.
Hegazy Rezk, Magdy M. Zaky, Mohemmed Alhaider, Mohamed A. Tolba   +3 more
doaj   +1 more source

Multi-Objective Seagull Optimization Algorithm with Deep Learning-Enabled Vulnerability Detection for Secure Cloud Environments

Sensors, 2023
Cloud computing (CC) is an internet-enabled environment that provides computing services such as networking, databases, and servers to clients and organizations in a cost-effective manner.
Mohammed Aljebreen, Manal Abdullah Alohali, Hany Mahgoub, Sumayh S. Aljameel, Albandari Alsumayt, Ahmed Sayed   +5 more
doaj   +1 more source

Analysis and Classification of Partial Shading Conditions in Photovoltaic Arrays

Energy Science &Engineering, EarlyView.
This study presents new mathematical models for describing P–V curve extrema under different shading scenarios and applies machine learning classifiers that use features derived from P–V characteristics for accurate fault identification. ABSTRACT With the escalating global transition toward renewable energy, ensuring the operational stability and ...
Hamid Reza Parsa, Mohammad Sarvi
wiley   +1 more source

A Deep Reinforcement Learning-Driven Seagull Optimization Algorithm for Solving Multi-UAV Task Allocation Problem in Plateau Ecological Restoration

Drones
The rapid advancement of unmanned aerial vehicle (UAV) technology has enabled the coordinated operation of multi-UAV systems, offering significant applications in agriculture, logistics, environmental monitoring, and disaster relief. In agriculture, UAVs
Lijing Qin, Zhao Zhou, Huan Liu, Zhengang Yan, Yongqiang Dai   +4 more
doaj   +1 more source

Edge‐Channel Aggregation Network and Two‐Stage Fine Tuning Scheme for Handwritten Dongba Character Recognition

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Handwritten Dongba Character Recognition (HDCR) contains a large number of visually similar characters with subtle and fragile edge cues, posing severe challenges to feature learning. To address this issue, an Edge Channel Aggregation Network (EdgeCANet) model is proposed.
Xiali Li, Yang Xiao, Xiaojun Bi, Yanlong Luo   +3 more
wiley   +1 more source

A Hybrid Heuristic Model for Duty Cycle Framework Optimization

International Journal of Distributed Sensor Networks
This paper proposes a hybrid metaheuristic approach to optimize a duty cycle framework based on Seagull and Mayfly Optimization (HSMO-DC) Algorithm.
Kwabena Ansah, Justice Kwame Appati, Ebenezer Owusu, Jamal-Deen Abdulai   +3 more
doaj   +1 more source

Refining Accelerometer‐Based Animal Behaviour Classifications With Sequence‐Informed Post‐Processing

Ecology and Evolution, Volume 16, Issue 8, August 2026.
Machine learning can be used to detect fine‐scale animal behaviours from accelerometer data but even the best model will make prediction errors. Logic‐based post‐processing techniques can be used to correct for those errors, with no additional data or computation.
Oakleigh Wilson, Hui Yu, David Schoeman, Gabriella Sparkes, Christofer Clemente   +4 more
wiley   +1 more source