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1981
Securing Communication Networks at the Physical Layer: A DRL and Phase Optimization Approach
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1982
Hybrid Optimization Machine Learning Framework for Enhancing Trust and Security in Cloud Network
Published 2024-01-01“…For resource allocation, the framework employs the Time-aware modified best fit decreasing (T-MBFD) algorithm, which adapts to fluctuating workloads. Key input parameters for T-MBFD include available resources, job size, and time constraints, while output parameters focus on optimized resource distribution and minimizing wastage. …”
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1983
Optimizing Hybrid Renewable Energy Systems for Enhanced Sustainability and Efficiency in Rural Communities
Published 2025-07-01“…The developed algorithm determines optimal operating setpoints for each generator, carefully balancing system constraints while ensuring uninterrupted power delivery to meet load demands. …”
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1984
Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving
Published 2014-01-01“…It firstly employs the general regression neural network (GRNN) algorithm to obtain the best model of the beam pumping system, and secondly searches the optimal operation parameters with improved strength Pareto evolutionary algorithm (SPEA2). …”
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1985
Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization
Published 2025-02-01“…The improved whale optimization (IWOA) algorithm was used for feature selection, which optimized weight functions to improve prediction accuracy. …”
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1986
Optimization of signal control at ramp adjacent intersections based on A2C
Published 2024-03-01“…This study utilizes deep reinforcement learning algorithms for traffic signal control optimization at exit ramps associated with intersection crossings. …”
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1987
Optimization of Resonant Arrays for Dynamic Wireless Power Transfer Using Adaptive Termination
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1988
A Model-Based Optimization Method of ARINC 653 Multicore Partition Scheduling
Published 2024-11-01“…This paper proposes a model-based optimization method for ARINC 653 multicore partition scheduling. …”
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1989
An AI-based automatic leukemia classification system utilizing dimensional Archimedes optimization
Published 2025-05-01“…The proposed method is called the Dimensional Archimedes Optimization Algorithm (DAOA). DAOA is based on the Archimedes Optimization Algorithm (AOA) and Dimensional Learning Strategy (DLS). …”
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1990
Schur Complement Optimized Iterative EKF for Visual–Inertial Odometry in Autonomous Vehicles
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1991
Applications of Recent Metaheuristic Algorithms for Loss Reduction in Distribution Power Systems considering Maximum Penetration of Photovoltaic Units
Published 2023-01-01“…Photovoltaic units (PVUs) are placed optimally by implementing the Coot optimization algorithm (COOA), the archimedes optimization algorithm (AOA), the transient search optimization algorithm (TSOA), the crystal structure algorithm (CrSA), the war strategy optimization algorithm (WSA), and the average and subtraction-based optimizer (ASBO). …”
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1992
Accuracy–Efficiency Trade-Off: Optimizing YOLOv8 for Structural Crack Detection
Published 2025-06-01“…To address the accuracy–efficiency trade-off faced by deep learning models in structural crack detection, this paper proposes an optimized version of the YOLOv8 model. YOLO (You Only Look Once) is a real-time object detection algorithm known for its high speed and decent accuracy. …”
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1993
COD Optimization Prediction Model Based on CAWOA-ELM in Water Ecological Environment
Published 2021-01-01“…In order to detect high error rate and poor convergence of the water ecological chemical oxygen demand (COD) prediction model, combining the limit learning machine (ELM) model and whale optimization algorithm, CAWOA is improved by the sin chaos search strategy, while the ELM optimizes the parameters of the algorithm to improve convergence speed, thus improving the generalization performance of the ELM. …”
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1994
A Hybrid Evolutionary Fuzzy Ensemble Approach for Accurate Software Defect Prediction
Published 2025-03-01“…To address this, effective feature selection is essential but remains an NP-hard challenge best tackled with heuristic algorithms. This study introduces a binary, multi-objective starfish optimizer for optimal feature selection, balancing feature reduction and classification performance. …”
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1995
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1996
Networked Sensor-Based Adaptive Traffic Signal Control for Dynamic Flow Optimization
Published 2025-06-01“…This method integrates the Webster algorithm with a proportional–integral–derivative (PID) controller, whose parameters are optimized using a genetic algorithm, thereby facilitating scientifically informed traffic signal timing strategies for enhanced traffic regulation. …”
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1997
Optimizing Masks and Random Screening Test Usage within K-12 Schools
Published 2025-01-01“…Many studies discussed the effectiveness of various interventions, while few focused on optimizing such interventions. …”
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1998
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1999
K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network
Published 2024-11-01“…While the traditional bee colony optimization technique has been widely used as a clustering technique in WSN, it mostly suffers from energy efficiency and network performance. …”
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2000
LEVELS OF PATIENTS EXPOSURE AND A POTENTIAL FOR OPTIMIZATION OF THE PET DIAGNOSTICS IN THE RUSSIAN FEDERATION
Published 2018-01-01“…Low dose computed tomography protocols, justification of diagnostic and multiphase computed tomography protocols, application of tube current modulation system and modern reconstruction algorithms, education and training of the staff in the field of radiation protection should be used for optimization of radiation protection of patient.…”
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