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2161
Optimization research on UAV semantic communication system based on SVD-MADRL
Published 2025-01-01“…The study optimizes the flight trajectory and power of multiple unmanned aerial vehicles with the deep deterministic policy gradient algorithm and constructs a multi-unmanned aerial vehicle semantic communication optimization model based on singular value decomposition and multi-agent deep reinforcement learning. …”
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2162
Application of Multi-Objective Optimization for Path Planning and Scheduling: The Edible Oil Transportation System Framework
Published 2025-07-01“…To minimize both cost and time, task execution sequences are optimized based on a Pareto front approach. A 3D digital model of the pipeline system was developed using C#, SolidWorks Professional, and the Helix Toolkit V2.24.0 to simulate a realistic production environment. …”
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2163
Advances to IoT security using a GRU-CNN deep learning model trained on SUCMO algorithm
Published 2025-05-01“…The SUCMO algorithm fine-tunes the deep learning model’s hyperparameters to improve classification accuracy. …”
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2164
Optimizing Aircraft Routes in Dynamic Conditions Utilizing Multi-Criteria Parameters
Published 2025-05-01“…In addition, optimal flight paths were modeled using the improved algorithms, which allow for increasing the efficiency of decision-making in the field of air traffic control. …”
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2165
FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORK
Published 2022-01-01“…The connection weights of HNN neural network were optimized by particle swarm optimization(PSO) algorithm to improve the global convergence ability of the improved neural network, and the improved HNN neural network model was obtained. …”
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2166
Computer-Driven Assessment of Weighted Attributes for E-Learning Optimization
Published 2025-03-01“…Using artificial intelligence for data analytics, computer-based assessment improves efficiency, accuracy, and optimization of learning across disciplines. …”
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2167
Multi-Source Data-Driven Terrestrial Multi-Algorithm Fusion Path Planning Technology
Published 2025-06-01“…A dynamic-heuristic A* algorithm is proposed, incorporating traffic signals and congestion penalties, and is enhanced by a DQN-based local decision module to improve adaptability to dynamic environments. …”
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2168
The impact of cultural factors on digital marketing strategies with Machine learning and honey bee Algorithm (HBA)
Published 2025-12-01“…This paper analyses the impact of cultural factors on digital marketing strategies in Pakistan. Improvement of machine learning (ML) techniques combined with the Honey Bee Algorithm (HBA) has been incorporated for better solutions. …”
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2169
Crack-Detection Algorithm Integrating Multi-Scale Information Gain with Global–Local Tight–Loose Coupling
Published 2025-02-01Get full text
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2170
Improving Modularity Regularization Techniques for Estimating Structures in Complex Network
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2171
A novel time difference of arrival localization algorithm using a neural network ensemble model
Published 2018-11-01“…The simulation results show that the proposed algorithm is efficient in improving the generalization ability and localization precision of the neural network ensemble model.…”
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2172
Multi-Objective Evolution and Swarm-Integrated Optimization of Manufacturing Processes in Simulation-Based Environments
Published 2025-07-01“…To this end, the proposed approach couples the JaamSim-based digital twins with evolutionary and swarm-based algorithms to carry out the multi-objective optimization under varying conditions. …”
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2173
Enhanced Search Spring Algorithm for Green Agri-Food Supply Chain Network Design
Published 2025-01-01“…In light of these challenges, this study presents a new Enhanced Search Spring Algorithm (ESSA), which optimizes GASCN by minimizing total transportation costs and is characterized by improved solution quality and computational efficiency. …”
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2174
Algorithm for Constructing the Hazard Function of the Extended Cox Model and its Application to the Prostate Cancer Patient Database
Published 2024-12-01“…The quality of training of the Cox model was assessed by C-index.Results. A metaheuristic algorithm for ant pollinator optimizing was proposed, providing for the construction of hazard functions of the extended Cox model. …”
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2175
A Novel, Self-Adaptive, Multiclass Priority Algorithm with VM Clustering for Efficient Cloud Resource Allocation
Published 2025-02-01“…The simulation results and analysis demonstrate that the proposed algorithm effectively optimizes makespan and energy consumption. …”
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2176
Evolutionary Cost Analysis and Computational Intelligence for Energy Efficiency in Internet of Things-Enabled Smart Cities: Multi-Sensor Data Fusion and Resilience to Link and Devi...
Published 2025-04-01“…Thorough simulations and comparative analysis reveal the protocol’s superior performance across key performance metrics, namely, network lifespan, energy consumption, throughput, and average delay. When compared to the most recent and relevant protocols, including the Particle Swarm Optimization-based energy-efficient clustering protocol (PSO-EEC), linearly decreasing inertia weight PSO (LDIWPSO), Optimized Fuzzy Clustering Algorithm (OFCA), and Novel PSO-based Protocol (NPSOP), our approach achieves very promising results. …”
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2177
Improving Offshore Wind Speed Forecasting with a CRGWAA-Enhanced Adaptive Neuro-Fuzzy Inference System
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2178
Advances in Surveying Topographically Complex Ecosystems with UAVs: Manta Ray Foraging Algorithms
Published 2024-11-01“…This study introduces an innovative UAV cruise data collection path planning approach using the manta ray foraging optimization (MRFO) algorithm to enhance efficiency and energy utilization in forest ecosystem monitoring. …”
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2179
Research on pose estimation algorithm of non-cooperative target tracked vehicles based on PnP model
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2180
A Real-time Speed Profile Planning Algorithm for Freight Trains Based on Neural Network
Published 2019-01-01“…Firstly, the algorithm determines the input and output forms of the neural network model by analyzing the optimization results of the quadratic programming, and then trains the neural network model with a large number of optimization results as sample data to determine the structure and weights of the model. …”
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