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Att-BEVFusion: An Object Detection Algorithm for Camera and LiDAR Fusion Under BEV Features
Published 2024-11-01“…To improve the accuracy of detecting small and long-distance objects while self-driving cars are in motion, in this paper, we propose a 3D object detection method, Att-BEVFusion, which fuses camera and LiDAR data in a bird’s-eye view (BEV). …”
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1322
Risk assessment and hybrid algorithm transportation path optimization model for road transport of dangerous goods
Published 2025-04-01“…The comprehensive analysis shows that the established model is reasonable, and the designed improved hybrid algorithm can improve the efficiency of the transportation industry, while also contributing to the improvement of the current cost status of dangerous goods road transportation.…”
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1323
Exploring multiple optimization algorithms in transfer learning with EfficientNet models for agricultural insect classification
Published 2024-10-01“…The explored optimization algorithms include Adam, Adamax, AdamW, RMSprop, and SGD, while utilizing the EfficientNetB0, EfficientNetB3, EfficientNetB5, and EfficientNetB7 architectures. …”
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1324
PyBodyTrack: A python library for multi-algorithm motion quantification and tracking in videos
Published 2025-09-01Get full text
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1325
Measurement of the Efficiency of Parallel Genetic Algorithm for Compress and Decompression of Fractal Imaging Using Multiple Computers
Published 2013-07-01“…The searching method used for the parallel algorithm for compression and decompression , the method of choosing GA's coefficients, (selection, crossover and mutation) were of a significant role in improving the image compression ratio and quality for images in high speed that has reached 15<sub>s</sub> , compression ratio has reached 91.68% , while the image quality was improved after decompression and has reached roughly 34.81 compared to traditional method of fractal image coding (FIC) where the compression ratio has reached 83.87% and image quality 31.79 with algorithm implementation speed reached 28<sub>s</sub>.…”
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1326
Study on the probabilistic characteristics of forces in the support structure of heliostat array based on the DBO-BP algorithm
Published 2025-07-01“…Dung beetle optimization (DBO) algorithm is a metaheuristic algorithm mimicking dung beetle ball-rolling behavior, while Back propagation (BP) neural network is a feedforward artificial neural network trained via error backpropagation to adjust parameters. …”
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1327
Bi-Level Game Strategy for Virtual Power Plants Based on an Improved Reinforcement Learning Algorithm
Published 2025-01-01“…Furthermore, the proposed algorithm achieves fast iteration and yields superior dispatch outcomes under the same modeling conditions.…”
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1328
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A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm
Published 2013-01-01“…More over BB-BC optimization method in damage detection is compared with particle swarm optimizer with passive congregation (PSOPC) algorithm. This work shows that BB-BC optimization method is a feasible methodology to detect damage location and severity while introducing numerous advantages compared to referred method.…”
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1330
modeling frame, flexible production system, search and selection algorithm, frame slot, graph diagram
Published 2020-04-01“…The model for creating algorithmic support was based on the modelling frame for the effective search and selection of the FMS, while its production modules and active elements were implemented in accordance with the scope of production and the purposes of each technical unit.Conclusion. …”
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Advanced Genetic Algorithms for Optimal Battery Siting: A Practical Methodology for Distribution System Operators
Published 2024-12-01“…By incorporating historical data on demand and network failures, the algorithm generates statistical models that inform the optimization process. …”
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1333
Intra-Net Cognitive Radio Intelligent Utility Maximization using Adaptive PSO-Gradient Algorithm
Published 2020-11-01“…The performance of proposed algorithm is remarkable. …”
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1334
Method of testing the software of spacecraft electronic equipment based on fault injection in the algorithms of orientation and stabilization
Published 2024-12-01“…The article substantiates the relevance of developing new methods and means of testing on-board electronic equipment of spacecraft based on the intentional introduction of faults for the purpose of testing survivability algorithms. It was shown that carrying out such tests makes it possible to increase the completeness of control and reliability of on-board electronic equipment of spacecraft while simultaneously reducing testing costs. …”
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1335
Enhanced Heart Disease Diagnosis Using Machine Learning Algorithms: A Comparison of Feature Selection
Published 2025-04-01“…So in this study, it will be more focused on the selection of relevant features or attributes to increase the accuracy value of the Machine Learning algorithm. The algorithms used include Random Forest and SVM. …”
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1336
Simulation of a scalable corridor waning radiance system using fuzzy PID and genetic algorithm
Published 2025-08-01Get full text
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1337
The short video platform recommendation mechanism based on the improved neural network algorithm to the mainstream media
Published 2024-12-01“…Video manufacturers hope to enhance user experience and stickiness through recommendation algorithms, while users seek personalized videos to save time and money. …”
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Multi-objective optimization of hybrid microgrid for energy trilemma goals using slime mould algorithm
Published 2025-08-01“…Compared to conventional metaheuristic such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), the SMA achieves a power loss reduction of 12.3% and a levelized cost of energy (LCOE) improvement of 9.8%. …”
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Data-Driven Identification of Gas Turbine Engine Dynamics via Koopman Operator Genetic Algorithm
Published 2025-01-01“…A novel application of genetic algorithm is proposed with a specifically crafted objective function that allows a constrained nonconvex optimization of functions in the Koopman observable subspace while forcing the solution to satisfy specified performance requirements via penalization. …”
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