Results 71 to 80 of about 1,730 (172)

Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach

Energy Science &Engineering, Volume 14, Issue 6, Page 2996-3012, June 2026.
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh, Chandrasekaran Kumar, Thangavel Swaminathan Sivakumaran, Sourav Barua   +3 more
wiley   +1 more source

A Survey on Harris Hawks Optimization Algorithm: Variant and Application

Since 2019, the Harris Hawks Optimization algorithm has become a robust metaheuristic for complex optimization, valued for fast convergence and adaptability. This review synthesizes advances in HHO research, covering theory, variants, and applications.
Qianli Ma, Haohan Wei, Nan Huang, Weibiao Qiao, Xinjun Yang, Yuqin Wang   +5 more
openaire   +1 more source

Clinically Deployable Handwriting Biomarkers of Parkinson's Disease via Multiscale Attention and Bayesian–Genetic Optimization

Brain and Behavior, Volume 16, Issue 5, May 2026.
Tablet‐based handwriting tasks (spiral, meander, and wave) are transformed into unified images and analyzed using PD‐MGMA‐DSCNN, a lightweight multiscale gated attention network. Bayesian–genetic optimization improves performance, while SHAP attribution maps provide interpretable handwriting biomarkers for Parkinson's disease screening.
Khosro Rezaee, Ali Khalili Fakhrabadi
wiley   +1 more source

Unveiling the IoT's dark corners: anomaly detection enhanced by ensemble modelling

Automatika
The growing Internet of Things (IoT) landscape requires robust security; traditional rule-based systems are insufficient, driving the integration of machine learning (ML) for effective intrusion detection.
Jisha Jose, J. E. Judith
doaj   +1 more source

A Comprehensive Review of Intelligent Fault Diagnosis and Resilient Fault‐Tolerant Control in the Design of Modern Modular Multilevel Converters

Engineering Reports, Volume 8, Issue 5, May 2026.
This review evaluates advanced intelligent fault diagnosis and resilient fault‐tolerant control strategies for modular multilevel converters (MMCs). It highlights how integrating machine learning with robust control architectures enhances reliability and operational continuity, providing a roadmap for developing more resilient, self‐healing power ...
Muhammad Haris Saleem, Arslan Ahmed Amin, Zuhair A. Alqarni, Umair Shahzad   +3 more
wiley   +1 more source

Robust-momentum-learning-rate-based adaptive fractional-order least mean squares approach for power system frequency estimation using chaotic Harris hawks optimization

Frontiers in Energy Research
A novel robust adaptive technique is proposed to estimate the instantaneous power system frequency using a momentum-learning-control-rate-based fractional-order least mean squares approach with enhanced Harris hawks optimization.
Subhranshu Sekhar Pati, Umamani Subudhi
doaj   +1 more source

Improved Hybridization of Harris Hawks with Pigeon-Inspired Optimization Algorithm for Multi-Rotor Agent Trajectory Planning

Applied Sciences
Addressing the multi-constraint, nonlinear optimization challenge of trajectory planning for multi-rotor agents in urban high-rise environments, this paper proposes an improved hybridization of Harris hawks optimization (HHO) with a pigeon-inspired ...
Junkai Yin, Zhangsong Shi, Huihui Xu, Fan Gui, Hao Wu   +4 more
doaj   +1 more source

Multi-objective Harris Hawks optimization algorithm for selecting best location and size of distributed generation in radial distribution system

International Journal of Cognitive Computing in Engineering
Distributed Generating Units (DGUs) are widely used in backup power, renewable energy integration, voltage regulation, and energy storage applications.
Sandeep Gogula, V․ S. Vakula
doaj   +1 more source

The Comparison of Lately Proposed Harris Hawks Optimization and Jaya Optimization in Solving Directional Overcurrent Relays Coordination Problem

Complexity, 2020
In this paper, a lately proposed Harris Hawks Optimizer (HHO) is used to solve the directional overcurrent relays (DOCRs) coordination problem. To the best of the authors’ knowledge, this is the first time HHO is being used in the DOCRs coordination ...
Jiangtao Yu, Chang-Hwan Kim, Sang-Bong Rhee   +2 more
doaj   +1 more source

Traffic Signal Timing Scheme Based on the Improved Harris Hawks Optimisation

Promet (Zagreb)
With the continuous increase of urban vehicles, traffic congestion becomes severe in the metropolitan areas and higher car utilisation areas. The traffic signal timing scheme can effectively alleviate traffic congestion at intersections.
Hongluan Zhao, Mengmeng Su
doaj   +1 more source