Results 41 to 50 of about 2,499,365 (180)

Optimization of Construction Projects Time-Cost-Quality-Environment Trade-off Problem Using Adaptive Selection Slime Mold Algorithm [PDF]

Journal of Soft Computing in Civil Engineering
In order to address optimization problems, artificial intelligence (AI) is employed in the construction industry, which aids in the growth and popularization of AI.
Pham Vu Hong Son, Luu Ngoc Quynh Khoi
doaj   +1 more source

The epistemic ceiling: Veteran practitioners' perspectives on primary qualification entry standards for teaching secondary mathematics in Scotland

British Educational Research Journal, EarlyView.
Abstract This paper presents an exploratory analysis of contemporary curricular and professional qualification policies in the Scottish education system, focusing on minimum qualification thresholds for mathematics teaching. The study examines how veteran secondary mathematics practitioners perceive the structural and pedagogical implications of using ...
Paul Argyle McDonald
wiley   +1 more source

Identification of Dynamical Models of Spatio-temporal Pattern Formation with Applications to Slime Mould [PDF]

, 2011
Spatio-temporal systems are non-linear dynamical systems which include both time and space information. Many natural phenomena and processes can be described by spatio-temporal models, such as pattern formation, chemical reactions and physical dynamics ...
Wang, Shu
core   +4 more sources

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

Deep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley   +1 more source

Optimizing multi-energy systems with enhanced robust planning for cost-effective and reliable operation

International Journal of Electrical Power & Energy Systems
This paper introduces a comprehensive and resilient multi-energy system (MES) designed for independent planning and real-time implementation. A robust daily coordinated planning model is proposed, incorporating adjustable optimization with fundamental ...
Yang Wang, Ji Li
doaj   +1 more source

Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm

Mathematics, 2022
This paper introduces a novel physical-inspired metaheuristic algorithm called “Light Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the proposed algorithm is the light dispersions with different angles while passing ...
Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, Ripon K. Chakrabortty   +3 more
doaj   +1 more source

Analysis of Carbohydrates and Glycoconjugates by Matrix‐Assisted Laser Desorption/Ionization Mass Spectrometry: An Update for 2023–2024

Mass Spectrometry Reviews, EarlyView.
ABSTRACT The use of MALDI mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well‐established technique and this comprehensive review is the twelfth update of the original article published in 1999 and brings coverage of the literature to the end of 2024.
David J. Harvey
wiley   +1 more source

Artificial Intelligence in Financial Security Markets: Catalyzing Sustainable Development Through Innovation, Risk Mitigation, and Adaptive Governance

Sustainable Development, EarlyView.
ABSTRACT The rapid integration of artificial intelligence (AI) into financial security markets presents both significant opportunities and emerging governance challenges for sustainable development. This study employs a comparative mixed‐methods approach to examine how AI‐driven innovation in trading, risk management, regulatory compliance, and ...
Suleman Bawa, Ibn Wahab Benin, Harika Kancham, Pedro Munoz‐Ramirez   +3 more
wiley   +1 more source

Estimating the Concrete Ultimate Strength Using a Hybridized Neural Machine Learning

Buildings, 2023
Concrete is a highly regarded construction material due to many advantages such as versatility, durability, fire resistance, and strength. Hence, having a prediction of the compressive strength of concrete (CSC) can be highly beneficial.
Ziwei Zhang
doaj   +1 more source

Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations

Computer Graphics Forum, EarlyView.
Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton, Faramarz Samavati, Adam Runions   +2 more
wiley   +1 more source