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461
Synchronous End-to-End Vehicle Pedestrian Detection Algorithm Based on Improved YOLOv8 in Complex Scenarios
Published 2024-09-01“…First of all, we have improved YOLOv8 by designing a deformable convolutional improved backbone network and attention mechanism, optimized the network structure, and improved the detection accuracy and speed. …”
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462
Diagnostic algorithm for the detection of carbapenemases and extended-spectrum β-lactamases in carbapenem-resistant Pseudomonas aeruginosa
Published 2025-06-01“…Incorporating Carba-5 into the phenotypic algorithm improved sensitivity for confirming MBL production to 100%. …”
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463
Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm
Published 2012-01-01“…The results have been checked with some of the most common optimizing algorithms like Karaboga’s original artificial bee colony, bees algorithm (BA), improved particle swarm optimization (IPSO), Lukasik firefly algorithm (LFFA), and self-adaptive penalty function genetic algorithm (SAPF-GA). …”
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464
Optimization Strategies for Electric Vehicles: A Review of Evolutionary, Swarm, and Hybrid Algorithms
Published 2025-01-01“…Future research directions include exploring hybrid algorithms and adaptive optimization approaches to further improve EV performance.…”
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465
Multiobjective Optimization Method for Polymer Injection Molding Based on a Genetic Algorithm
Published 2019-01-01“…A mathematical model considering an objective and impact factors is developed using the response surface method. The optimal combination of the impact parameters is determined using a multiobjective genetic algorithm. …”
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466
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467
Optimization of Communication Quality for Energy-Limited Inspection AAV: A Hybrid Algorithm
Published 2024-01-01“…Numerical results show that the proposed algorithm is effective in optimizing the communication quality of the inspection AAV with limited energy, and its performance is improved by about 15%-50% compared with other benchmarks.…”
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468
Optimizing Bi-LSTM networks for improved lung cancer detection accuracy.
Published 2025-01-01“…We employed traditional hand-crafted features, such as Gray Level Co-occurrence Matrix (GLCM) features, in conjunction with traditional machine learning algorithms. To explore the potential of deep learning, we also optimized and implemented a Bidirectional Long Short-Term Memory (Bi-LSTM) network for lung cancer detection. …”
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469
Optimisation of decision making for construction projects of assembly buildings based on improved PSO algorithm
Published 2025-03-01“…The improved particle swarm algorithm converges to an optimal solution of –19.208 within 20 iterations on the Holder function, with an optimal domain of [8.055, –9.665]. …”
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470
Reducing hydrogen consumption in hybrid electric vehicles using aquila optimization algorithm
Published 2025-04-01“…The aquila optimization algorithm is one of the most recent and efficient algorithms. …”
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471
A Betweenness Calibration Topology Optimal Control Algorithm for Wireless Sensor Networks
Published 2013-09-01“…Based on the complex network theory, this paper proposed a novel betweenness addition edges expansion algorithm (BAEE). With betweenness calibration, BAEE algorithm expanded the minimum-cost edges to optimize the network topology. …”
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472
Regression Test Suite Minimization Using Modified Artificial Ecosystem Optimization Algorithm
Published 2021-01-01“…This paper proposes an effective approach for regression test suite minimization using Artificial Ecosystem Optimization algorithm. To improve its performance a modified Artificial Ecosystem Optimization algorithm is proposed for Test case minimization. …”
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473
Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm
Published 2024-01-01“…Consequently, the cache access pattern is optimized, leading to fewer cache misses and improved search times. …”
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474
The optimal dispatching strategy of cogeneration based on Deep Q-Network (DQN) algorithm
Published 2024-01-01“…Acknowledging the constraints of flexibility in winter heating, the study aims to improve unit coal use optimization and lower emissions. …”
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475
Benchmarking Metaheuristic Algorithms Against Optimization Techniques for Transportation Problem in Supply Chain Management
Published 2025-06-01“…The optimization of transportation problems plays a significant role in supply chain management (SCM), where minimizing costs and improving efficiency are mandatory. …”
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476
Research on Wellbore Trajectory Optimization and Drilling Control Based on the TD3 Algorithm
Published 2025-06-01“…In modern oil and gas exploration and development, wellbore trajectory optimization and control is the key technology to improve drilling efficiency, reduce costs, and ensure safety. …”
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477
Combining 3-Opt and Improved Discrete Cuckoo Search Algorithm for the Traveling Salesman Problem
Published 2024-01-01“…For 500 iterations, the average best solution of the proposed method differed from the average optimal solution by 0.07%. In the results of the improved discrete cuckoo search algorithm (CSA), this rate was calculated to be 0.08%. …”
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478
Image information optimization processing based on fractional order differentiation and WT algorithm.
Published 2025-01-01“…To improve the quality of complex images, research proposes an image information optimization processing method based on fractional order differentiation and WT algorithm. …”
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479
A Mutual Algorithm for Optimizing Distributed Source Coding in Wireless Sensor Networks
Published 2012-02-01“…This paper presents contributions to the lifetime optimization problem of WSNs in the form of two algorithms: the Updated-CMAX (UCMAX) power-aware routing algorithm to optimize the routing tree and the Rate Optimization (RO) algorithm to optimize the encoding rates of the nodes. …”
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480
Optimization of Time-Varying Temperature Profiles for Enhanced Beer Fermentation by Evolutive Algorithms
Published 2024-12-01“…This method integrates Fourier series and orthogonal polynomials for control action parameterization, in combination with evolutionary algorithms for parameter optimization. A key advantage of this methodology lies in its ability to handle a reduced parameter set efficiently, resulting in temperature profiles that are continuous and differentiable. …”
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