Results 31 to 40 of about 605 (174)

Constraint estimation in three‐diode solar photovoltaic model using Gaussian and Cauchy mutation‐based hunger games search optimizer and enhanced Newton–Raphson method

IET Renewable Power Generation, 2022
The reliability of the photovoltaic models is strongly reliant on their parameters, which are primarily determined by the optimization algorithm and the objective function. As a result, obtaining the parameters under different environmental conditions is
Manoharan Premkumar, Pradeep Jangir, Chandrasekaran Kumar, Somasundaram David Thanasingh Sundarsingh Jebaseelan, Hassan Haes Alhelou, Rajvikram Madurai Elavarasan, Huiling Chen   +6 more
doaj   +1 more source

Prediction Model of Borehole Spontaneous Combustion Based on Machine Learning and Its Application

Fire, 2023
In order to quickly and accurately predict borehole spontaneous combustion danger and avoid borehole spontaneous combustion fires, a borehole spontaneous combustion prediction model combining the Hunger Games search optimization algorithm (HGS) and ...
Yun Qi, Kailong Xue, Wei Wang, Xinchao Cui, Ran Liang   +4 more
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Road Damage Detection Using the Hunger Games Search with Elman Neural Network on High-Resolution Remote Sensing Images

Remote Sensing, 2022
Roads can be significant traffic lifelines that can be damaged by collapsed tree branches, landslide rubble, and buildings debris. Thus, road damage detection and evaluation by utilizing High-Resolution Remote Sensing Images (RSI) are highly important to
Mesfer Al Duhayyim, Areej A. Malibari, Abdullah Alharbi, Kallekh Afef, Ayman Yafoz, Raed Alsini, Omar Alghushairy, Heba Mohsen   +7 more
doaj   +1 more source

Dynamic, Unconstrained Optimization of Secreted Enzyme Production in Fed‐Batch Fermentation Using Reinforcement Learning

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Reinforcement learning (RL) has been used to control a wide range of dynamic processes, especially ones that are too complex to model well or have stochastic environmental perturbations. Fed‐batch fermentations are subject to changes in starting cell growth rates and process variations that can affect cell growth and secreted target production.
Sai Harish Uthravalli, Sakib Ferdous, J. Michael Hess, Nigel F. Reuel   +3 more
wiley   +1 more source

A new fine-tuned random vector functional link model using Hunger games search optimizer for modeling friction stir welding process of polymeric materials

Journal of Materials Research and Technology, 2021
Modeling of manufacturing processes using artificial intelligence-based techniques has recently received considerable attention. The current investigation introduces a new artificial intelligence-based predictive model for friction stir welding of ...
Waheed Sami AbuShanab, Mohamed Abd Elaziz, Emad Ismat Ghandourah, Essam B. Moustafa, Ammar H. Elsheikh   +4 more
doaj   +1 more source

Digital Technology's Role in Circular Waste Management: A Systematic Review

Business Strategy and the Environment, EarlyView.
ABSTRACT Combining circular economy ideas with digital tools offers a game‐changing way to tackle global sustainability problems. This paper focuses on how digital changes and circular economy models link up. A review has been conducted for 112 articles from 2021 to September 2025, using PRISMA‐2020 methodology. This study covered new tech like AI, IoT,
Reza Eslamipoor
wiley   +1 more source

Hunger games search: a comprehensive review of recent variants and applications

Systems Science & Control Engineering
Hunger Games Search (HGS) is a novel metaheuristic algorithm favoured for its exploration ability and flexibility. Following the PRISMA 2020 guidelines, this study provides a systematic review of 115 articles published from 2022 to 2025.
Haogao Song, Chenyang Li, Lei Liu, Yi Chen, Huiling Chen   +4 more
doaj   +1 more source

Advancing basalt fiber asphalt concrete design: A novel approach using gradient boosting and metaheuristic algorithms

Case Studies in Construction Materials, 2023
Basalt Fiber Asphalt Concrete (BFAC) is an environmentally friendly and durable material with potential road, bridge, and infrastructure construction applications.
Ba Nhan Phung, Thanh-Hai Le, Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly   +4 more
doaj   +1 more source