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ACCEPTABLE LIMITS FOR CORRECTION OF HEATING LOAD WHILE OPTIMIZING OPERATIONAL MODES OF HEAT SOURCES
Published 2014-02-01Get full text
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Improved Data Transmission Scheme of Network Coding Based on Access Point Optimization in VANET
Published 2014-01-01“…In this paper, an access point optimization method is proposed based on particle swarm optimization algorithm. …”
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3124
3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition
Published 2018-01-01“…An inertial measurement unit-based pedestrian navigation system that relies on the intelligent learning algorithm is useful for various applications, especially under some severe conditions, such as the tracking of firefighters and miners. …”
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3125
Harnessing quantum power: Revolutionizing materials design through advanced quantum computation
Published 2024-12-01“…We introduce the loop framework for QUBO‐empowered materials design, including constructing high‐quality datasets that capture critical material properties, employing tailored computational methods for precise material modeling, developing advanced figures of merit to evaluate performance metrics, and utilizing quantum optimization algorithms to discover optimal materials. …”
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3126
Determining the optimal generalization operators for building footprints using an improved graph neural network model
Published 2024-01-01“…Compared with other popular intelligent algorithms, the experimental results for SNGNN revealed better performance in determining the optimal generalization operators.…”
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3127
Optimization of trusted wireless sensing models based on deep reinforcement learning for ISAC systems
Published 2024-12-01“…As the number of edge sensing nodes increases, the likelihood of encountering untrusted nodes also rises, further limiting the performance of traditional federated learning aggregation algorithms. To address these issues, the paper proposes a DRL‐based strategy aimed at optimizing the node selection process in federated learning environments. …”
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3128
Fusion of Rough Set Theory, Genetic Algorithm-Backpropagation Neural Networks and Shapley Additive Explanations for the Design of Bamboo Furniture
Published 2025-07-01“…Finally, an intelligent mapping model between product components and emotional needs was constructed using Genetic Algorithm-Backpropagation Neural Networks (GA-BPNN), which predicts the optimal product design parameters that meet users' emotional needs. …”
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3129
Sensitive Integration of Multilevel Optimization Model in Human Activity Recognition for Smartphone and Smartwatch Applications
Published 2021-06-01“…This study proposes an intelligent data analysis model for finding optimal patterns in human activities on the basis of biometric features obtained from four sensors installed on smartphone and smartwatch devices. …”
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3130
Detecting cyber attacks in vehicle networks using improved LSTM based optimization methodology
Published 2025-05-01“…Detection is executed through an Improved Long Short-Term Memory (ILSTM) model, whose parameters are optimized using the Crocodile Optimization Algorithm (COA), aiming to maximize classification accuracy. …”
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3131
MSPB-YOLO: High-Precision Detection Algorithm of Multi-Site Pepper Blight Disease Based on Improved YOLOv8
Published 2025-03-01“…This represents an enhancement of 2.2% over the original algorithm’s mAP@0.5. Overall, this model provides effective technical support for promoting intelligent management and disease prevention strategies for peppers.…”
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3132
Risk-Aware Vessel Scheduling and Routing Optimization with CVaR and LSTM-MSNet Prediction
Published 2025-01-01Get full text
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3133
Secure ISAC MIMO systems: exploiting interference with Bayesian Cramér–Rao bound optimization
Published 2025-02-01Get full text
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3134
A multi-strategy improved snake optimizer and its application to SVM parameter selection
Published 2024-10-01“…As a newly proposed swarm intelligence algorithm, snake optimizer algorithm (SO) can help to solve the parameter selection problem. …”
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3135
Collaborative Optimization of Shore Power and Berth Allocation Based on Economic, Environmental, and Operational Efficiency
Published 2025-04-01“…The NSGA-III algorithm is employed to solve the model and generate a Pareto-optimal solution set, with the final optimal solution identified using the TOPSIS method. …”
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3136
Adaptive mechanism-based grey wolf optimizer for feature selection in high-dimensional classification.
Published 2025-01-01“…Its goal is to eliminate redundant and irrelevant features from a datasets, thereby enhancing the classifier's performance. The Grey Wolf Optimizer (GWO) is a well-known meta-heuristic algorithm rooted in swarm intelligence. …”
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3137
BIT*+TD3 Hybrid Algorithm for Energy-Efficient Path Planning of Unmanned Surface Vehicles in Complex Inland Waterways
Published 2025-03-01“…This research proposes a hybrid path planning framework for intelligent inland waterway Unmanned Surface Vehicles (USVs), which integrates the enhanced BIT* (Batch Informed Trees) algorithm with the TD3 (Twin Delayed Deep Deterministic Policy Gradient) deep reinforcement learning method. …”
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3138
Flaw-YOLOv5s: A Lightweight Potato Surface Defect Detection Algorithm Based on Multi-Scale Feature Fusion
Published 2025-03-01“…Accurate and rapid detection of potato surface defects is crucial for advancing intelligent potato sorting. To elevate detection accuracy as well as shorten the computational load of the model, this paper proposes a lightweight Flaw-YOLOv5s algorithm for potato surface defect detection. …”
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Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration
Published 2025-09-01“…To address these issues, a novel Lyapunov-driven optimization algorithm for device selection and bandwidth allocation is introduced. …”
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3140
RFID‐Based Enhanced Resource Optimization for 5G/6G Network Applications
Published 2025-06-01“…RFID readers strategically placed across the network continuously captured this data, which was processed by a centralized controller using a custom‐designed optimization algorithm. This algorithm dynamically managed key network resources, including spectrum allocation, load balancing, and energy consumption, ensuring efficient operation under varying network conditions. …”
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