Results 61 to 70 of about 51,530 (240)

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza, Raja Muhammad Afzal, Felipe Gomes Camacho, Nader Mahinpey   +3 more
wiley   +1 more source

Bat Algorithm for Multi-objective Optimisation [PDF]

, 2011
Engineering optimization is typically multiobjective and multidisciplinary with complex constraints, and the solution of such complex problems requires efficient optimization algorithms.
Yang, Xin-She
core   +1 more source

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

Where Tech Meets the SDGs: A Supply‐Chain Process Map for Sustainability Management

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates how advanced technologies support Sustainable Development Goals (SDGs) within supply chain management (SCM) through a structured analysis of 4448 sustainable practices. By integrating perspectives from sustainability‐oriented innovation (SOI) and contingent dynamic capabilities, the research conceptualizes technology ...
Vincenzo Varriale, Antonello Cammarano, Moacir Godinho‐Filho   +2 more
wiley   +1 more source

The Vehicle Routing Problem with Service Level Constraints

, 2017
We consider a vehicle routing problem which seeks to minimize cost subject to service level constraints on several groups of deliveries. This problem captures some essential challenges faced by a logistics provider which operates transportation services ...
Bulhões, Teobaldo, Hà, Minh Hoàng, Martinelli, Rafael, Vidal, Thibaut   +3 more
core   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem

, 2015
We consider the university course timetabling problem, which is one of the most studied problems in educational timetabling. In particular, we focus our attention on the formulation known as the curriculum-based course timetabling problem, which has been
Bellio, Ruggero, Ceschia, Sara, Di Gaspero, Luca, Schaerf, Andrea, Urli, Tommaso   +4 more
core   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Three New Stochastic Local Search Metaheuristics for the Annual Crop Planning Problem Based on a New Irrigation Scheme

Journal of Applied Mathematics, 2013
Annual Crop Planning (ACP) is an NP-hard-type optimization problem in agricultural planning. It involves finding optimal solutions concerning the seasonal allocations of a limited amount of agricultural land amongst the various competing crops that are ...
Sivashan Chetty, Aderemi Oluyinka Adewumi   +1 more
doaj   +1 more source