Resource scheduling algorithm of satellite communication system for future multi-beam dense networking by Yuanzhi HE, Cong PENG, Jihong YU, Yun LIU

“…The resource scheduling problem of satellite communication systems under the condition of high-dynamic and resource limitation was studied.A resource scheduling model for satellite communication systems was established based on time window, energy consumption, number of channels, user priority and task suddenness.Considering the disadvantages of slow initial search speed and weak local search ability, the improved ant colony algorithm based on construction of initial solution set and extra pheromone deposition was proposed to solve the resource scheduling problem.The optimization characteristics of the number of completed tasks, priority and scheduling completion time were simulated and analyzed.The results show that the algorithm has a fast convergence rate.Compared with the same type optimization algorithm, the algorithm has high scheduling efficiency, therefore, it is suitable for scheduling satellite communication system resources for multi-beam dense networking in the future.…”
Get full text

Flexible grasping of robot arm based on improved Informed-RRT star by Xiong YIN, Yan CHEN, Wenhao GUO, Zichen YANG, Hanxin CHEN, An LIAO, Daojin YAO

“…Communication between the upper computer and the single-chip computer via a serial port enables clamping and loosening actions, constructing an autonomous grasping system based on the traditional Informed -RRT* algorithm. An improved info-RRT * algorithm (Grasping informed-RRT *, GI-RRT*) for the GR-ConvNet model is proposed. …”
Get full text

Prediction Model for Compaction Quality of Earth-Rock Dams Based on IFA-RF Model by Weiwei Lin, Yuling Yan, Pu Xu, Xiao Zhang, Yichuan Zhong

“…The method utilizes a dynamic inertia weight, an adaptive factor, and a differential evolution strategy to enhance the search capability of the firefly algorithm. Furthermore, the random forest (RF) algorithm’s <i>Ntree</i> and <i>Mtry</i> parameters are adaptively optimized through the improved firefly algorithm (IFA) to develop a dam compaction quality prediction model. …”
Get full text

Fog node intrusion detection and response based on SVMIF and INSGA-II algorithm by Zhuojun Luo

“…Additionally, modified particle swarm optimization was employed to optimize the model's parameters. To have a response behavior for protection when intrusion is detected, the study designed a fog node intrusion response method based on security policy decision and used improved non-dominated sorting genetic algorithms-II to select a more appropriate security decision. …”
Get full text

Using an Improved PSO-SVM Model to Recognize and Classify the Image Signals by Ying Zhao, Guocheng Wei

“…Using BP artificial intelligence network model, improved BP artificial intelligence network model, and improved PSO-SVM model to identify and classify the extracted characteristic signals and compare the results, all reached 85% correct rate. …”
Get full text

Improvement of RT-DETR model for ground glass pulmonary nodule detection. by Siyuan Tang, Qiangqiang Bao, Qingyu Ji, Tong Wang, Naiyu Wang, Min Yang, Yu Gu, Jinliang Zhao, Yuhan Qu, Siriguleng Wang

“…This article proposed an algorithm based on RT-DETR model with the following enhancement: 1) optimize the backbone network with FCGE blocks to increase the detection accuracy of small-sized and blurred edge nodules; 2) replace the AIFI module with HiLo-AIFI module to reduce redundant computation and improve the detection accuracy of pure ground glass pulmonary nodules and mixed ground glass pulmonary nodules; 3) replace the DGAK module with CCFF module to address the issue of capturing complex features and recognition of irregularly shaped ground glass nodules. …”
Get full text

A new CNN deep learning model for computer-intelligent color matching by He Zhibin, Tan Yanmei, Li Sa

“…Besides, based on the optimized algorithm, an intelligent color-matching model was constructed. …”
Get full text

Leveraging stacking machine learning models and optimization for improved cyberattack detection by Neha Pramanick, Jimson Mathew, Shitharth Selvarajan, Mayank Agarwal

“…The proposed method integrates two ML models: J48 and ExtraTreeClassifier for classification. …”
Get full text

Application of Optimization Algorithms in Voter Service Module Allocation by Edgar Jardón, Marcelo Romero, José-Raymundo Marcial-Romero

“…The main contribution of this study is the development and evaluation of a hybrid heuristic framework for allocating INE modules, demonstrating that combining multiple heuristics—with a genetic algorithm as the initial phase—significantly improves solution quality and computational efficiency.…”
Get full text

Using a seasonal and trend decomposition algorithm to improve machine learning prediction of inflow from the Yellow River, China, into the sea by Shuo Wang, Shuo Wang, Ke Yang, Ke Yang, Hui Peng, Hui Peng

Get full text

CBLN-YOLO: An Improved YOLO11n-Seg Network for Cotton Topping in Fields by Yufei Xie, Liping Chen

Get full text

Presenting the detection algorithm of all types of vessels in the Persian Gulf region using radar images in order to improve the security of navigation by Ali Hanafi, Mehdi Keykhaee

Get full text

Efficiency Calculation and Analysis of Green Economy Based on Improved Fixed Effects Model by Kaige Liu, Ze Fu, Yuxi Chai

“…In response to the problem of traditional fixed effects models neglecting important heterogeneity factors in measuring green economic efficiency, this study proposes an improved fixed effects model combined with long short-term memory neural network classification algorithm. …”
Get full text

Classification of Tropical Cyclone Tracks in the Northwest Pacific Based on the SD-K-Means Model by Nan Xu, Baisong Yang, Jia Ren

“…This study proposes an improved SD-K-Means clustering algorithm for classifying TC tracks. …”
Get full text

Algorithm for Solving Distributed Workshop Scheduling Model Based on Order Constraints and Assembly Constraints by Tingting Qu

“…For this model, an improved greedy algorithm was combined to solve it, and particle swarm optimization algorithm was introduced to enhance the local and global search capabilities of the distributed scheduling system, effectively addressing the computational complexity in large-scale production environments. …”
Get full text

Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm by Shun Cheng, Zhiqian Wang, Shaojin Liu, Yan Han, Pengtao Sun, Jianrong Li

“…Finally, MPDIoU (Minimum Point Distance-based IoU) is used to replace the CIoU (Complete-IOU) loss function to accelerate the convergence speed of the bounding box and improve the bounding box regression accuracy. The experimental results show that compared with the YOLOv8n baseline model, the SPSM-YOLOv8 (SPDConv-PSA-SCDown-MPDIoU-YOLOv8) detection accuracy reaches 87.3% on the ROUD dataset and 76.4% on the UPRC2020 dataset, and the number of parameters and amount of computation decrease by 4.3% and 4.9%, respectively. …”
Get full text

Research on the Development Model of Rural Tourism Based on Multiobjective Planning and Intelligent Optimization Algorithm by Lu Yang, Xiaoying Dong

“…In order to improve the effect of rural tourism development, this study combines multiobjective planning and intelligent optimization algorithms to analyze the development mode of rural tourism and further deals with the problem of multisensor target tracking under unknown input interference conditions by designing a tourism network consensus algorithm. …”
Get full text

Intelligent Recommendation Algorithm of Multimedia English Distance Education Resources Based on User Model by Xiushan Zhang

“…Based on the understanding and comparison of various main recommendation algorithms, this paper focuses on the collaborative filtering algorithm and proposes a collaborative filtering recommendation algorithm with improved user model. …”
Get full text

Development of Spectral Clustering Algorithm in Cognitive Diagnosis Model: Approach for Student’s Psychological Growth by Xiao Chang

“…The spectral clustering (SC) algorithm iterative optimization was combined with a similarity matrix and Laplacian matrix to construct an improved spectral clustering cognitive diagnosis model. …”
Get full text

Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model by Hewu Kuang

“…The genetic algorithm is improved by immune cloning algorithm, and the CGA-BP neural network model is established to obtain the global optimal solution. …”
Get full text