Results 61 to 70 of about 410 (152)

Transient Stability-Constrained Optimal Power Flow Model Based on CatBoost-DF and ISOA

Energies
Traditional transient stability-constrained optimal power flow (TSCOPF) methods rely on solving complex nonlinear differential equations, resulting in high computational demands and lengthy processing times. To address these issues, this paper proposes a
Songkai Liu, Yifan Zhao, Lei Zhang, Di Ai, Biqing Ye, Yiduo Geng   +5 more
doaj   +1 more source

Optimization of time modulated array antennas based on improved gray wolf optimizer

AIP Advances
With the widespread application of intelligent optimization algorithms in engineering and scientific fields, the need for their improvement and optimization is increasingly evident.
TianNing Zhu, Yan Liu, JianHui Li, WanRu Zhao   +3 more
doaj   +1 more source

A novel improved horned lizard optimization algorithm to identify optimal parameters of adaptive fuzzy logic MPPT for performance boosting of PEM fuel cell

Intelligent Systems with Applications
Horned Lizard Optimization Algorithm (HLOA) is a newly developed swarm-based metaheuristic technique that emulates the defensive behaviors of the horned lizard in nature.
Hegazy Rezk, Anas Bouaouda, Fatma A. Hashim   +2 more
doaj   +1 more source

A Multi-Strategy Improved Dung Beetle Optimizer for High-Dimensional Optimization and Engineering Applications

Biomimetics
When addressing high-dimensional complex optimization problems, the vanilla Dung Beetle Optimizer (DBO) suffers from slow convergence, frequent stagnation in local optima, and progressive degradation of population diversity.
Shuxin Wang, Yinggao Yue, Mengji Xiong
doaj   +1 more source

An improved hybrid feature selection and classification framework for breast cancer detection using mammography images

Ain Shams Engineering Journal
Breast cancer is one of the most common diseases that affects women around the world. Finding it early can help save lives. Doctors usually use tests like biopsy, ultrasound, CT scan, and mammography to detect breast cancer.
Aniruddha Deka, Debashis Dev Misra, Munsifa Firdaus Khan Barbhuyan, Mudassir Khan, Mostaque Md. Morshedur Hassan, Mohammed Ashfaq Hussain   +5 more
doaj   +1 more source

Hybrid Strategies Based Seagull Optimization Algorithm for Solving Engineering Design Problems

International Journal of Computational Intelligence Systems
The seagull optimization algorithm (SOA) is a meta-heuristic algorithm proposed in 2019. It has the advantages of structural simplicity, few parameters and easy implementation.
Pingjing Hou, Jiang Liu, Feng Ni, Leyi Zhang   +3 more
doaj   +1 more source

Breast Cancer Classification via a High-Precision Hybrid IGWO–SOA Optimized Deep Learning Framework

AI
Breast cancer (BRCA) remains a significant cause of mortality among women, particularly in developing and underdeveloped regions, where early detection is crucial for effective treatment.
Aniruddha Deka, Debashis Dev Misra, Anindita Das, Manob Jyoti Saikia   +3 more
doaj   +1 more source

ISOA‐DBN: A New Data‐Driven Method for Studying the Operating Characteristics of Air Conditioners

Energy Science & Engineering
Air conditioning load is a crucial demand response resource for optimizing energy consumption control, and its accurate analysis provides an essential basis for achieving efficient energy management.
Mengran Zhou, Qiqi Zhang, Feng Hu, Ling Wang, Guangyao Zhou, Weile Kong, Changzhen Wu, Enhan Cui   +7 more
doaj   +1 more source

Fault Diagnosis and Data Reconstruction of Temperature Sensors for Wind Turbine Stator Winding

Shock and Vibration
A proposed method for diagnosing sensor faults in the stator winding temperature sensor of a wind turbine is introduced, aiming to address the significant issues that arise when such malfunctions occur, affecting the overall stable operation of the ...
Ling Zhou, Qiancheng Zhao, Jinhui Zeng, Anfeng Zhu, Xiafei Long, Ling He   +5 more
doaj   +1 more source

Explainable Model of Fusion Network With Enhanced Optimization Approach for Tuberculosis Diagnosis

IEEE Access
Tuberculosis, caused by Mycobacterium tuberculosis, is a lung-focused infectious disease with a profound impact on the respiratory system. Although advancements in healthcare have improved detection of various diseases, TB remains a global health issue ...
C. R. Dhivyaa, K. Nithya, C. Sathiya Kumar, R. Sudhakar   +3 more
doaj   +1 more source