Results 71 to 80 of about 14,756 (239)

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

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, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source

A Novel Bipolar DC Connection Strategy for Photovoltaic Power Plants With a 50% Reduction in DC Cabling Length

Energy Science &Engineering, EarlyView.
Bipolar configuration is a new topology in the direct current (DC) system of photovoltaic power plants, which is topologically analogous to the bipolar configuration utilised in High‐Voltage Direct Current power transmission systems. DC cable length and copper usage are reduced by 50% using a bipolar configuration.
Duško M. Tovilović, Željko R. Đurišić, Vladan R. Durković   +2 more
wiley   +1 more source

Energy Routing Protocols for Energy Internet: A Review on Multi-Agent Systems, Metaheuristics, and Artificial Intelligence Approaches

IEEE Access
The Energy Internet (EI) is transforming power networks by integrating Smart Grids (SGs), Distributed Energy Sources (DESs), and advanced communication and data technologies. This transformation increases complexity, as energy transmission evolves into a
Amani Fawaz, Imad Mougharbel, Kamal Al-Haddad, Hadi Y. Kanaan   +3 more
doaj   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Enhanced Henry Gas Solubility Optimization for Solving Data and Engineering Design Problems

Eng
Many engineering design problems are formulated as constrained optimization tasks that are nonlinear and nonconvex, and often treated as black boxes. In such cases, metaheuristic algorithms are attractive because they can search complex design spaces ...
Jamal Zraqou, Ayman Alnsour, Riyad Alrousan, Hussam N. Fakhouri, Niveen Halalsheh   +4 more
doaj   +1 more source

Genetic Algorithm‐Driven Analysis of Gravitational Water Vortex Power Plant Runner Performance: A Comparative Study Integrating Experimental and Computational Fluid Dynamics

Energy Science &Engineering, EarlyView.
This study integrates genetic algorithm optimization, CFD simulation, and experimental validation to identify the optimal runner geometry for a gravitational water vortex turbine. The combined approach enhances vortex stability and improves energy conversion efficiency, demonstrating strong agreement between predicted and measured performance ...
Zakaria. A. Mwakitwange, Adam Faraji
wiley   +1 more source

An Improved Red-Billed Blue Magpie Algorithm and Its Application to Constrained Optimization Problems

Biomimetics
The Red-Billed Blue Magpie Optimization (RBMO) algorithm is a metaheuristic method inspired by the foraging behavior of red-billed blue magpies. However, the conventional RBMO often suffers from premature convergence and performance degradation when ...
Ying Qiao, Zhixin Han, Hongxin Fu, Yuelin Gao   +3 more
doaj   +1 more source

Bidirectional Wireless Power Transfer for Electric Vehicle Energy Systems Integrating Modelling, Intelligent Control, Communication and Cybersecurity: A Review

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates the evolution of wireless electric vehicle charging from unidirectional wireless power transfer to bidirectional wireless power transfer (BWPT) and toward future intelligent, autonomous wireless energy systems.
P. V. Elumalai, Yuvaraja Shanmugam, A. Vivek Anand, Mesith Chaimanee, Choon Kit Chan, S. Prabhakar, R. Narayanamoorthi   +6 more
wiley   +1 more source

Enhanced Nutcracker Optimization Algorithm with Hyperbolic Sine–Cosine Improvement for UAV Path Planning

Biomimetics
Three-dimensional (3D) path planning is a crucial technology for ensuring the efficient and safe flight of UAVs in complex environments. Traditional path planning algorithms often find it challenging to navigate complex obstacle environments, making it ...
Shuhao Jiang, Shengliang Cui, Haoran Song, Yizi Lu, Yong Zhang   +4 more
doaj   +1 more source