Results 51 to 60 of about 4,354 (214)
SensorsRecently, low THz radar-based measurement and classification for archaeology emerged as a new imaging modality. In this paper, we investigate the classification of pottery shards, a key enabler to understand how the agriculture was introduced from the ...
Julien Marot +5 more
doaj +1 more source
Parameter estimation of Muskingum model using grey wolf optimizer algorithm
MethodsX, 2021 Flood routing plays a crucial role in prevention of major economic and human losses, which, in this study, has been conducted via both three- and four-constant parameter non-linear Muskingum models for four hydrographs, along with the Grey Wolf Optimizer
Reyhaneh Akbari +1 more
doaj +1 more source
AI &Innovation, EarlyView.ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez +2 more
wiley +1 more source
Autonomous electric vehicle charging based on Grey Wolf Optimizer
, 2023 LAUREA MAGISTRALEIl motivo di questa tesi, "Ricarica Autonoma di Veicoli Elettrici basata sull’Optimizzazione del Grey Wolf Optimizer," affronta la sfida critica dell’ottimizzazione della ricarica dei veicoli elettrici nel contesto delle moderne reti di ...
Tahir, Salah-Ud-Din
core
Deep Underground Science and Engineering, EarlyView.This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang +3 more
wiley +1 more source
Grey wolf optimizer: a review of recent variants and applications
, 2017 Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide variety of optimization problems due to its impressive characteristics over other swarm intelligence methods: it has very few ...
Seyedali Mirjalili +7 more
core +1 more source
Grey Wolf Optimizer and Discrete Chaotic Map for Substitution Boxes Design and Optimization
IEEE Access, 2023 A metaheuristic approach based on the nature-inspired and well-known Grey Wolf Optimization algorithm (GWO) was employed in this study to design an approach for retrieving strong designs of $8\times 8$ substitution boxes (S-boxes).
Ali Ibrahim Lawah +4 more
doaj +1 more source
Energy Science &Engineering, EarlyView.General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda +3 more
wiley +1 more source
Hibridisasi Fireworks Algorithm (FWA) dan Grey Wolf Optimizer (GWO) [PDF]
, 2019 Fireworks Algorithm (FWA) merupakan algoritma metaheuristik yang meniru ledakan kembang api. FWA memiliki kekurangan pada salah satu operatornya dan strategi seleksi yang perlu menghitung jarak antar individu sehingga membuat waktu komputasi yang semakin
Siregar, Claudia Inggrit
core
Energy Science &Engineering, EarlyView.ABSTRACT The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to ...
Manoharan Premkumar +3 more
wiley +1 more source