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Assignment Technology Based on Improved Great Wall Construction Algorithm
Published 2025-02-01Subjects: Get full text
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A Novel Differential Exchange Parallel Great Wall Construction Algorithm for Efficient Multilevel Image Segmentation
Published 2025-01-01“…The Great Wall Construction Algorithm (GWCA) is an innovative meta-heuristic algorithm for solving engineering challenges. …”
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Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction
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Construction and Application of Agricultural Talent Training Model Based on AHP-KNN Algorithm
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Construction of Prioritized T-Way Test Suite Using Bi-Objective Dragonfly Algorithm
Published 2022-01-01“…In software testing, effective test case generation is essential as an alternative to exhaustive testing. For improving the software testing technology, the t-way testing technique combined with metaheuristic algorithm has been great to analyze a large number of combinations for getting optimal solutions. …”
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Smart village construction and college students’ skills entrepreneurship path based on LSTM and simulated annealing algorithm
Published 2025-07-01“…Based on these two algorithms, this study enriches the knowledge in the field of smart village construction and college students’ skill entrepreneurship, and is of great significance in the planning and decision-making of smart village construction and the ideas and methods of college students’ entrepreneurship.…”
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A new method for rapid construction of multi-band vegetation index
Published 2025-06-01“…In order to further improve the accuracy of using vegetation index method to monitor the growth physiological parameters of winter wheat, this study proposed a new method based on the genetic algorithm that can quickly construct multi-band vegetation index. …”
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Lightweight Apple Leaf Disease Detection Algorithm Based on Improved YOLOv8
Published 2024-09-01“…To reduce the incidence of apple diseases and increase fruit yield, developing efficient and fast apple leaf disease detection technology is of great significance. An improved YOLOv8 algorithm was proposed to identify the leaf diseases that occurred during the growth of apples.…”
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Algorithms for partitioning logical circuits into subcircuits
Published 2020-09-01“…The brief review of partitioning methods and algorithms is given, and two groups of algorithms are identified: constructive and iterative one. …”
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Unscented Particle Filter Algorithm Towards Data Quality Improvement in Sustainable Distribution Power Systems
Published 2024-01-01“…In order to realize data quality improvement and further support flexible choice of operating mode, safe and efficient coordinated control, dynamic and orderly fault recovery of sustainable PES, this paper proposes an unscented particle filter algorithm, adopting unscented Kalman filter to construct importance density functions and KLD resampling to dynamically adjust the particle number. …”
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Improvement of YOLO v8 Segmentation Algorithm and Its Study in the Identification of Hazards in Plateau Pika
Published 2024-11-01“…The accuracy of the evaluation of plateau rodent damage levels has been greatly improved.…”
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Composite Improved Algorithm Based on Jellyfish, Particle Swarm and Genetics for UAV Path Planning in Complex Urban Terrain
Published 2024-11-01“…In order to enhance the safety, path smoothness, and shortest path acquisition of UAVs undertaking tasks in complex urban multi-obstacle environments, this paper proposes an innovative composite improvement algorithm that integrates the advantages of the jellyfish search algorithm and the particle swarm algorithm. …”
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Research on Lightweight Open-Pit Mine Driving Obstacle Detection Algorithm Based on Improved YOLOv8s
Published 2024-12-01“…Improving the accuracy and speed of obstacle detection during driving is of great significance to ensuring the safety of mine automation construction and improving the efficiency of overall unmanned operations. …”
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Design of a logistics warehouse robot positioning and recognition model based on improved EKF and calibration algorithm
Published 2024-12-01“…Automatic guided vehicles for logistics warehousing are a key link in the construction of intelligent logistics. To improve the positioning accuracy of warehouse robots, we designed an advanced extended Kalman filter method integrating multiple synchronous positioning techniques and map construction methods, and completed the calibration and detection of pallets based on color image information. …”
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Improving the navigation optimization of hospital logistics robots under complex lighting changes by using improved ORB-SLAM3 and deep learning visual SLAM algorithm
Published 2025-04-01“…These measures significantly improve the quality and matching accuracy of feature point extraction; the algorithm also combines visual and inertial information closely by combining inertial measurement unit data, further enhancing the positioning accuracy and system stability.The experimental results show that in the environment of rapid light changes, the average positioning error, navigation map construction integrity and navigation planning time of the improved ORB-SLAM3 algorithm are 0.26 m, 80% and 7.26 ms, respectively.This achievement not only effectively improves the navigation efficiency of the hospital logistics robot, but also enhances its stability and reliability in an environment with severe lighting changes. …”
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Malicious Attack Correlation Analysis Method of Source-Grid-Load System under Specific Attack Scenarios
Published 2019-10-01“…Thirdly, combined with electrical abnormal events, the genetic algorithm's initialization scheme, the selection operator and cross genetic probability are improved. …”
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Computational complexity when constructing rational plans for program execution in a given field of parallel computers
Published 2022-12-01“…The main method for developing PPE plans was the construction, analysis, and purposeful transformation of the stacked-parallel form (SPF) of information graphs of algorithms (IGA). …”
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Predicting the Activity Level of the Great Gerbil (Rhombomys opimus) via Machine Learning
Published 2025-05-01“…Because traditional assessment methods are difficult to monitor and cannot effectively predict the population growth trend of R. opimus, an R. opimus activity prediction model was constructed using the particle swarm optimization algorithm‐extreme learning machine (PSO‐ELM). …”
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Research on vehicle scheduling for forest fires in the northern Greater Khingan Mountains
Published 2025-01-01“…Through simulation experiments, the proposed Improved Genetic Algorithm (IGA) achieved an average rescue time reduction of 8.5% compared to conventional Genetic Algorithm (GA) and 3.5% compared to Improved Artificial Bee Colony (IABC) algorithm, with an average solution time of 9.4 ms.…”
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