Search Results - (( evolution integration prediction algorithm ) OR ( java implication based algorithm ))
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Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development
Published 2025“…This review uniquely focuses on harnessing the synergy between ML and computational modeling (CM) or optimization tools, as well as integrating multiple ML techniques with CM, for the synthesis of diverse hydrogen evolution reaction (HER) catalysts and various hydrogen production processes (HPPs). …”
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Smart agriculture: precision farming through sensor-based crop monitoring and control system
Published 2024“…Upon its integration into the comprehensive system for monitoring new data and predicting fruit growth, the model achieves an impressive 98% accuracy score. …”
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Chiller energy prediction in commercial building : A metaheuristic-enhanced deep learning approach
Published 2024“…Drawing on a diverse dataset from a commercial building, encompassing vital input parameters such as Chilled Water Rate, Building Load, Cooling Water Temperature, Humidity, and Dew Point, the study conducts a comprehensive comparison of metaheuristic algorithms (Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Barnacles Mating Optimizer (BMO), Harmony Search Algorithm (HSA), Differential Evolution (DE), Ant Colony Optimization (ACO), and the latest RIME algorithm). …”
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Handover Decision-Making Algorithm for 5G Heterogeneous Networks
Published 2023“…The evolution of 5G small cell networks has led to the advancement of vertical handover decision-making algorithms. …”
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Application of dynamic mesh to model surface evolution under solid particles erosion in positive choke geometries
Published 2026“…The effect of shape change on erosion rate was predicted using CFD modeling. First, a dynamic mesh UDF (User Defined Function) was created specifically for positive choke geometry; second, a CFD model was calibrated against published LDV (Laser Doppler Velocimeter) data for velocity profiles at various locations; third, a parametric study was conducted to predict the impact of various parameters on erosion rate and profile; and finally, by integrating the dynamic mesh UDF with various erosion models, the sharp edge rounding and its impact on erosion rate were simulated. …”
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Forecasting solar power generation using evolutionary mating algorithm-deep neural networks
Published 2024“…This paper proposes an integration of recent metaheuristic algorithm namely Evolutionary Mating Algorithm (EMA) in optimizing the weights and biases of deep neural networks (DNN) for forecasting the solar power generation. …”
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Evaluation and prediction of time overruns in Jordanian construction projects using coral reefs optimization and deep learning methods
Published 2024“…This study aimed to utilize deep learning, specifically the Multi-Layer Perceptron (MLP), and enhance its overrun predictive ability by incorporating the Coral Reefs Optimization Algorithm (CROA). …”
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Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods
Published 2017“…This study sought to examine the performance of three newly proposed techniques, for reliability assessment of the power systems, namely Disparity Evolution Genetic Algorithm (DEGA), Binary Particle Swarm Optimisation (BPSO), and Differential Evolution Optimization Algorithm (DEOA). …”
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SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid
Published 2017“…There were two sets of algorithms in developing the UPLRB ANN model and every algorithm set consisted of model inputs data preparation, neural network script and neural network error checking measures. …”
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Transparent insights into alzheimer’s progression: a time-aware approach with explainable
Published 2024“…This study aims to advance the understanding and prediction of Alzheimer’s disease progression through the integration of time-aware modeling and Explainable AI techniques. …”
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A Modular Intelligent Control Framework for Scalable Biohydrogen Production in Microbial Electrolysis Cells
Published 2025“…This review traces the evolution of five control paradigms, including voltage/proportional-integral-derivative (PID), model-based, adaptive, fuzzy logic, and artificial-intelligence (AI) systems, as well as hybrid intelligent controllers, and benchmarks each against scalability, dynamic responsiveness, and energy-recovery performance. …”
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Performance analysis of hybrid renewable energy systems used for rural electrification in Malaysia / Laith Mahmoud Mohammad Halabi
Published 2017“…Furthermore, the development of solar radiation prediction algorithms in addition to integrating a flexible hybrid renewable energy design are presented. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
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Modelling and simulation of drying process for ceramic membrane fabrication
Published 2015“…In fact, the drying process is one of the longest steps corresponding to various evolutions of parameters during the evaporation process. …”
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An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics
Published 2016“…A Performance model for Zynq is developed using analytical method and used in hardware/software codesign to facilitate algorithms mapping to hardware. Afterwards, an SoC for real-time video analytics is realized on Zynq using Harris corner detection algorithm. …”
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State of charge estimation for electric vehicles using random forest
Published 2024“…This integration holds the key to more efficient and dependable electric vehicle operations, marking a significant milestone in the ongoing evolution of EV technology. …”
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