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1261
Cloud-edge hybrid deep learning framework for scalable IoT resource optimization
Published 2025-02-01“…The hybrid algorithm's primary characteristic is its capacity to simultaneously fulfil multiple objectives, including reducing response times, enhancing resource efficiency, and decreasing operational costs. …”
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1262
Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques
Published 2024-09-01“…To address these issues, coverage optimization techniques are employed to maximize spatial coverage while minimizing energy consumption and deployment costs. …”
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1263
Advancing GNOS-R Soil Moisture Estimation: A Multi-Angle Retrieval Algorithm for FY-3E
Published 2025-07-01“…By leveraging multi-angle data, the algorithm achieves significantly improved retrieval accuracy, with root mean square errors of 0.0235, 0.0264, and 0.0191 (g/cm<sup>3</sup>) for bare, low-vegetation, and dense-vegetation areas, respectively. …”
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1264
Research Progress on Machine Learning Prediction of Compressive Strength of Nano-Modified Concrete
Published 2025-04-01“…However, testing nano-concrete is costly and complex because it requires control over many factors, such as nanoparticle content and dispersion. …”
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1265
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1266
Dynamic Task Planning for Multi-Arm Apple-Harvesting Robots Using LSTM-PPO Reinforcement Learning Algorithm
Published 2025-03-01“…The proposed algorithm addresses key challenges such as efficient task coordination, optimal picking sequences, and real-time decision-making in complex, dynamic orchard environments. …”
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1267
Expansion of Output Spatial Extent in the Wavenumber Domain Algorithms for Near-Field 3-D MIMO Radar Imaging
Published 2025-04-01“…To suppress aliasing while expanding the output spatial extent, an optimization approach for the wavenumber domain algorithms is proposed. …”
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1268
Improved RRT*-Connect Manipulator Path Planning in a Multi-Obstacle Narrow Environment
Published 2025-04-01“…This paper proposes an improved RRT*-Connect algorithm (IRRT*-Connect) for robotic arm path planning in narrow environments with multiple obstacles. …”
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1269
Adaptive Policy-Oriented Cybersecurity: A Decentralized Framework Using Message Passing Algorithms for Dynamic Threat Mitigation
Published 2025-01-01“…Static and centralized security models are no longer sufficient to address these challenges, underscoring the need for intelligent, distributed solutions that can optimize policy deployment in real-time. This paper introduces a novel framework based on Message Passing algorithms that enables decentralized, adapted and optimized policy deployment across complex cybersecurity infrastructures. …”
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1270
System Optimization of Talent Life Cycle Management Platform Based on Decision Tree Model
Published 2022-01-01“…Aiming at the algorithm’s shortcomings in solving big data, this study will improve the algorithm through the MapReduce programming model to achieve parallelization of the process and construction of the function. …”
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1271
Rejection-Free Monte Carlo Simulation of QUBO and Lechner–Hauke–Zoller Optimization Problems
Published 2022-01-01“…Landscapes of success probabilities of finding the globally optimal solution as well as feasible solutions were evaluated as a function of a set of hyper-parameters used to characterize the weights of cost and penalty functions. …”
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1272
Metamodel-Based Optimization Method for Traffic Network Signal Design under Stochastic Demand
Published 2023-01-01“…By incorporating the model bias, the combined metamodel can better approximate the original optimal solution. Moreover, incorporating the gradient information of the traffic flow in the optimization search algorithm can further improve the solution performance. …”
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1273
Convex Optimization of Markov Decision Processes Based on Z Transform: A Theoretical Framework for Two-Space Decomposition and Linear Programming Reconstruction
Published 2025-05-01“…Experimental validations on production processes reveal that our model reduces long-term maintenance costs by 36.17% compared to Monte Carlo simulations (1500 vs. 2350 average cost) and improves computational efficiency by 14.29% over Q-learning methods. …”
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1274
Path Optimization Model for Urban Transportation Networks under the Perspective of Environmental Pollution Protection
Published 2021-01-01“…Finally, the improved particle swarm optimization algorithm is used to solve the two-objective model to obtain the Pareto front solution set, that is, the path scheme under real-time traffic conditions. …”
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1275
Orga-Dete: An Improved Lightweight Deep Learning Model for Lung Organoid Detection and Classification
Published 2025-07-01Get full text
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1276
A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation
Published 2023-01-01“…The aim is to optimize the annual total cost and flexibility of the system. …”
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1277
An Interval Integrated Optimization to Air-Cargo Hub Network Design and Airline Fleet Planning
Published 2024-01-01Get full text
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1278
Source-storage-load optimization control technology of DC microgrid with virtual energy storage
Published 2025-04-01“…On this basis, under the coordinated control of source and storage of DC microgrid, particle swarm optimization algorithm is used to optimize the design of virtual capacitance values in different periods of time to improve the economic benefits of the system. …”
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1279
Joint Optimization of Carrier Frequency and PRF for Frequency Agile Radar Based on Compressed Sensing
Published 2025-05-01“…Consequently, this paper adopts the maximum coherence coefficient (MCC) between the dictionary matrix columns as the cost function. In addition, in order to reduce the correlation of the dictionary matrix and improve the target detection performance, a genetic algorithm (GA) is employed to jointly optimize the CF hopping coefficients and PRFs of the FAR. …”
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1280
Prediction and dynamic optimization of drilling performance based on the combination of mineral composition and operational factors
Published 2025-06-01“…According to the training and testing results, the introduction of mineral composition can effectively improve the training speed and testing accuracy. Through the established prediction function, a dynamic optimization algorithm combined with DOE (Design of Experiments) theory was also developed. …”
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