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1481
Assessment of Urban Water Supply System Based on Query Optimization Strategy
Published 2018-01-01“…As a complicated water treatment system project, an urban water supply plays a significant role in enhancing ecological civilization construction, promoting social-economic sustainable development, and improving the living environment of humans. This paper has the goal of improving water treatment efficiency and reducing water treatment cost based on comparative studies by applying two types of distributed database query optimization methods, including the system for a distributed database (SDD-1) and all reduction algorithms. …”
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1482
Reliability Optimization Model of Stop-Skipping Bus Operation with Capacity Constraints
Published 2020-01-01“…The objective function is to minimize the total costs of bus operation system. Besides, a Genetic Algorithm combined with Monte Carlo Simulation method is defined and implemented to solve the reliability optimization model. …”
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1483
Detection of capsaicin content by near-infrared spectroscopy combined with optimal wavelengths
Published 2019-12-01“…Three different variable selection methods with successive projection algorithm (SPA), competitive adaptive reweighted sampling (CARS) and uninformation variable elimination (UVE) were performed to select the optimal wavelengths. …”
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1484
Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning
Published 2025-03-01“…Grey Wolf Optimization (GWO) is one of the most popular algorithms for solving such problems. …”
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1485
Explorative Binary Gray Wolf Optimizer with Quadratic Interpolation for Feature Selection
Published 2024-10-01“…This paper proposes a novel binary Gray Wolf Optimization algorithm to address the feature selection problem in classification tasks. …”
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1486
Significance of Machine Learning-Driven Algorithms for Effective Discrimination of DDoS Traffic Within IoT Systems
Published 2025-06-01“…Findings revealed that the RF model outperformed other models by delivering optimal detection speed and remarkable performance across all evaluation metrics, while KNN (K = 7) emerged as the most efficient model in terms of training time.…”
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1487
Crime Type Identification Using High-Order Deep Residual Network with Multiple Attention Algorithm
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1488
Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method
Published 2025-06-01“…The second phase focuses on optimal feature selection using a Genetic Algorithm enhanced with eagle-inspired search strategies. …”
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1489
Cost-effectiveness of FIT and a FIT-based model to optimise symptomatic diagnosis of colorectal cancer: health economic modelling for the COLOFIT project
Published 2025-06-01“…Cost-effectiveness improves as risk thresholds rise. …”
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1490
Optimal Search Strategy of Robotic Assembly Based on Neural Vibration Learning
Published 2011-01-01“…Using optimal search strategy based on minimal distance path between vibration parameter stage sets (amplitude and frequencies of robots gripe vibration) and recovery parameter algorithm, we can improve the robot assembly behaviour, that is, allow the fastest possible way of mating. …”
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1491
An Improved UNet-Based Path Recognition Method in Low-Light Environments
Published 2024-11-01“…The network structures of UNet, FCN, and SegNet are compared to identify and select the optimal structure for further improvement. Among the three attention mechanisms of channel attention, spatial attention, and combined attention, the most effective mechanism is identified. …”
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1492
Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification
Published 2025-05-01“…For the LLCS dataset, For the LLCS dataset, the DPFCM_GK demonstrates significant improvement as the privacy budget increases, especially in low-budget scenarios, where the performance gap is most pronounced (T=4.20, 8.44, 10.92, 3.95, 7.16, 8.51, P < 0.05). …”
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1493
Sensor placement optimization for critical-grid coverage problem of indoor positioning
Published 2020-12-01“…Then, NSGA-II algorithm was used to solve the optimizing model of sensor placement. …”
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1494
Optimal PMU Placement Considering with HVDC Links and Their Voltage Stability Requirements
Published 2019-06-01“…However, it is not practical in real networks due to the relatively expensive cost of PMUs and other technical limitations. Optimal PMU Placement (OPP) is an optimization problem providing full observability of the power network with minimum number of PMUs. …”
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1495
Wireless Energy Transmission Link Optimization considering Microwave Energy Relay
Published 2020-01-01“…Based on the idea of microwave energy relay transmission, the paper constructs a microwave wireless transmission link planning model which considers power relay and uses the evolutionary algorithm to solve the wireless transmission link planning model with two-layer optimization. …”
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1496
Optimal Modeling of Wireless LANs: A Decision-Making Multiobjective Approach
Published 2018-01-01“…The developed algorithm allows automating the design process, traditionally handmade by network technicians, in order to save time and cost by improving the WLAN arrangement. …”
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1497
An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis
Published 2025-01-01“…This paper also uses genetic algorithm (GA) to optimize multiple data clustering spaces and improve clustering effect. …”
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1498
Energy Aware Swarm Optimization with Intercluster Search for Wireless Sensor Network
Published 2015-01-01“…Challenges in WSN include a well-organized communication platform for the network with negligible power utilization. In this work, an improved binary particle swarm optimization (PSO) algorithm with modified connected dominating set (CDS) based on residual energy is proposed for discovery of optimal number of clusters and cluster head (CH). …”
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1499
Optimizing concrete strength: How nanomaterials and AI redefine mix design
Published 2025-07-01“…XGB was identified as the most effective ML algorithm for predicting compressive strength among others in this study (R2=0.974). …”
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1500
CALCULATION METHODS OF OPTIMAL ADJUSTMENT OF CONTROL SYSTEM THROUGH DISTURBANCE CHANNEL
Published 2014-10-01“…As the automatic control system optimization with proportional plus reset controllers on disturbance channel is an unimodal task, the main algorithm of optimization is realized by Hooke – Jeeves method. …”
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