Sökresultat - "optimization algorithms"

Abstract Interaction to chloride ions is only one of many challenging scenarios that reinforced concrete buildings may face during their lifespan. This exposure may cause concrete structures, particularly those near the seaside, to deteriorate and become less long-lasting. The chloride diffusion coe...

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In this research, we introduce a modified direction update formula to improve the descent features of iterative optimization, therefore presenting a fresh approach to the Conjugate Gradient (CG) method. The proposed method adjusts the search direction at each iteration by incorporating gradient and...

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In this survey, we provide a comprehensive classification of GPU task scheduling approaches, categorized by their underlying algorithmic techniques and evaluation metrics. We examine traditional methods—including greedy algorithms, dynamic programming, and mathematical programming—alongside advanced...

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This research presents an Intelligent Energy Management System (IEMS) based on the Internet of Things (IoT), fog, and cloud layers. IEMS is designed to optimize green hydrogen production at fog nodes within an IoT based on nanotechnology. The IEMS leverages an Improved Human Evolutionary Optimizatio...

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Accurate classification of jujube varieties is essential for ensuring their quality and medicinal value. Traditional methods, relying on manual detection, are inefficient and fail to meet the demands of modern production and quality control. This study integrates hyperspectral imaging with intellige...

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Task scheduling for multiple humanoid robot manipulators in industrial and collaborative settings remains a significant challenge due to the complexity of coordination, resource sharing, and real-time decision-making. In this study, we propose a framework for modeling task scheduling for multiple hu...

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This paper defines time-series numerical association rule mining in smart-agriculture applications from an explainable-AI perspective. Two novel explainable methods are presented, along with a newly developed algorithm for time-series numerical association rule mining. Unlike previous approaches, su...

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The worldwide drive towards low-carbon transportation has made Hybrid Electric Vehicles (HEVs) a crucial component of sustainable mobility, particularly in areas with limited charging infrastructure. The core of HEV efficiency lies in the Energy Management Strategy (EMS), which regulates the energy...

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Classifying avocado ripeness accurately is crucial for enhancing post-harvest management and minimizing waste in agricultural supply chains. This study focuses on creating a strong ensemble classification model using spectral data from 120 kilogrammes of Buccaneer avocados obtained from the Royal Pr...

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The goal of this research is to develop a decision support system for stock portfolio optimization using hill climbing and SHLO algorithms based on fundamental analysis of stocks. Portfolio optimization involves constructing a portfolio that maximizes returns while minimizing risk. The novelty in me...

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The use of computer-aided engineering (CAE) tools has become essential in modern design processes, significantly streamlining mechanical design tasks. The integration of optimization algorithms further enhances these processes by facilitating studies on mechanical behavior and accelerating iterative...

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The concept of CFFSs offers a more comprehensive on CFSs, CIFSs, and CPYFSs, with greater potential for practical applications due to their flexible structure, larger space, adjustable parameters, and influential design compared to other generalization of FSs. The striking framework of CFFSs is keen...

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This review systematically integrates recent advancements in path optimization algorithms for the automated layout of mechanical, electrical, and plumbing (MEP) systems within complex building environments. A hybrid optimization framework is introduced, combining the global search capability of Ant...

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The Centralized Radio Access Networks (CRAN) decentralizes data and control planes by separating the baseband unit (BBU) from the central office, enabling energy-efficient “green networks” through the shutdown of underutilized BBUs. Analyzing extensive Call Detail Records (CDR)...

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This study proposes an optimized energy management strategy for alternating current microgrids, integrating wind generation, battery energy storage systems (BESSs), and distribution static synchronous compensators (D-STATCOMs). The objective is to minimize operational costs, including grid electrici...

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This paper explores the integration of Electric Vehicle (EV) parking lots into power distribution networks (DNs) and proposes a quantum-based optimization framework to enhance grid performance. As EV and renewable energy source (RES) penetration increases, coordinated EV charging and discharging bec...

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This paper uses a nature-inspired optimization algorithm to discuss the automatic selection of control structure parameters. The commonly used quality indicators are presented and analyzed for the optimization process of the control system. Moreover, the possibilities of formulating objective functi...

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The accurate prediction of the host of influenza viruses is a significant challenge in bioinformatics, as it is crucial for understanding viral transmission dynamics and host-virus interactions. This research • Introduces a novel approach for predicting the host of influenza viruses by leveraging pr...

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With the exponential upward thrust in residential energy consumption, effective Demand-Side Management (DSM) has come to be vital to ensure grid balance and user satisfaction. This paper proposes a holistic and customer-centric method for DSM via the improvement of the Automated Load Scheduling (ALS...

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