Improvement of YOLO v8 Segmentation Algorithm and Its Study in the Identification of Hazards in Plateau Pika by Yaosheng Han, Yunpeng Jin, Chunmei Li, Xiangjie Huang

“…Firstly, data were collected and annotated, and a dataset of plateau rodent distribution in the Qinghai region was constructed. The collected data include videos captured through drone-based field surveys, which were processed using OpenCV and annotated with LabelMe. …”
Get full text

High-Precision Moving Target Shadow Detection Algorithm for ViSAR Based on Information Geometry by Shangqu Yan, Yaowen Fu, Ruofeng Yu, Chenyang Luo, Wenpeng Zhang, Wei Yang

“…Video synthetic aperture radar (ViSAR) attracts much attention in the field of moving target detection due to its high frame rate and high-resolution imaging capability. …”
Get full text

Tunnel Traffic Enforcement Using Visual Computing and Field-Programmable Gate Array-Based Vehicle Detection and Tracking by Yi-Chen Lin, Rey-Sern Lin

Get full text

Near-field sound source localization using principal component analysis–multi-output support vector regression by Lanmei Wang, Yao Wang, Guibao Wang, Jianke Jia

“…Principal component analysis is used to reduce the dimensionality of the upper triangular element of the covariance matrix of the known signal, and it is used as the input feature of the multi-output support vector regression machine to construct the near-field parameter estimation model, and the parameter estimation of unknown signal is herein obtained. …”
Get full text

Method for Solving Large Linear Algebraic Equation Systems Based on Kaczmarz–K-Means Algorithm by Hao Li

“…Thus, a block Kaczmarz algorithm based on weight probability is constructed. …”
Get full text

Improved artificial bee colony algorithm for large scale colored bottleneck traveling salesman problem by Wenyong DONG, Xueshi DONG, Yufeng WANG

“…In the fields such as intelligent transport and multiple tasks cooperation, the model scale constructed by colored bottleneck traveling salesman problem (CBTSP) tends to large scale, and therefore it is necessary to study the large scale CBTSP and its algorithms. …”
Get full text

An Algorithm for Improving the Condition Number of Matrices and Its Application for Solving the Inverse Problems of Gravimetry and Magnetometry by Alexander Leonov, Dmitry Lukyanenko, Anatoly Yagola, Yanfei Wang

“…The paper considers one of the possible statements of inverse problems in gravimetric and magnetometric remote sensing, proposes a new approach to its solution and formulates algorithms that implement this approach. The problem under consideration consists of finding hypothetical sources of the corresponding potential fields at a given depth based on these fields measured on the Earth’s surface. …”
Get full text

Research on UAV Conflict Detection and Resolution Based on Tensor Operation and Improved Differential Evolution Algorithm by Zhichong Zhou, Guhao Zhao, Yiru Jiang, Yarong Wu, Jiale Yang, Lingzhong Meng

“…This paper proposes a method for UAV conflict detection and resolution based on tensor operation and an improved differential algorithm. Firstly, the UAV protection zone model and airspace rasterization model are constructed, and the rapid detection of flight conflicts is achieved by using the properties of tensor Hadamard product operations and prime factorization. …”
Get full text

A Convolutional Neural Network SAR Image Denoising Algorithm Based on Self-Learning Strategies by Jun Wang, Ke Xu

“…Due to its high resolution and all-weather imaging capability, Synthetic Aperture Radar (SAR) is widely used in fields such as Earth observation and environmental monitoring. …”
Get full text

Intelligent City 3D Modeling Model Based on Multisource Data Point Cloud Algorithm by Youping Wu, Zhihui Zhou

“…By outputting to a common 3D format, the 3D model constructed in this paper can be applied to many fields such as urban planning and design, architectural landscape design, urban management, emergency disaster relief, environmental protection, and virtual tourism.…”
Get full text

Research and performance analysis of random forest-based feature selection algorithm in sports effectiveness evaluation by Yujiao Li, Yingjie Mu

“…Abstract The rapid progress in fields such as data mining and machine learning, as well as the explosive growth of sports big data, have posed new challenges to the research of sports big data. …”
Get full text

A novel framework for identifying fishing grounds from AIS data containing vessels of unknown types by Changhai Huang, Jialong Kong, Jian Zheng, Yuli Chen, Jingen Zhou

“…Subsequently, an algorithm that integrates the Data Field and OPTICS (DF-OPTICS) algorithm is proposed, and a model for identifying fishing grounds is constructed based on the DF-OPTICS algorithm. …”
Get full text

Image skeletonization based on combination of one- and two-sub-iterations models by J. Ma, V. Yu. Tsviatkou, V. K. Kanapelka

“…Mathematical model and OPCA (One-Pass Combination Algorithm) algorithm which is based on a combination and simplification of single-iterative OPTA and two-iterative ZS are proposed for constructing extremely thin bound skeletons of binary images with low computational complexity. …”
Get full text

Image dehazing algorithm based on light-value weighted allocation and multi-layer restricted perception by Dongyang Shi, Sheng Huang, Wei Zhao

“…The proposed algorithm first constructs an atmospheric light estimation module based on weighted allocation. …”
Get full text

Traffic Capacity Assessment of the Urban Elevated Bridge after Near-Field Explosion Based on the Response Surface Method by Jinghui Jiang, Chaoyi Xia, Kunpeng Wang, He Xia, Qikai Sun

“…First, the finite element model of a reinforced concrete slab under near-field explosion is established by ANSYS/LS-DYNA software and compared with the experimental results, which verifies the effectiveness of the ALE (arbitrary Lagrangian–Eulerian) algorithm and the accuracy of the mesh size and material properties. …”
Get full text

Measurement of Sea Surface Characteristics from Radar Images Using Gradient Methods by K. Yu. Laptev, N. V. Sokolov, V. N. Mikhailov, M. I. Bogachev, E. N. Vorobev

“…Remote sensing and monitoring of the sea surface are of great importance in such fields, as operational oceanography, environmental monitoring, etc. …”
Get full text

Analysis of College Students’ Consumption Behavior Data Based on Fractional-Order Firefly Optimization Clustering Algorithm by Xiang Meng, Qi He, Yanhua Dong, Hongyu Sun

“…For an increasing amount of data, traditional data mining algorithms are not suitable. The clustering algorithm is becoming more and more important in the field of data mining, but the traditional clustering algorithm does not take the clustering efficiency and clustering effect into consideration. …”
Get full text

Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach by Wenxuan Yao, Hui Li, Yanlin Li

“…In the field of construction engineering, the cracking of concrete structures is a common engineering problem, which has a great impact on the overall stability and service life of the engineered structure. …”
Get full text

Transportation and production collaborative scheduling optimization with multi-layer coding genetic algorithm for non-pipelined wells by Qiushi Li, Yuze Li, Haitong Sun, Wei Song, Honghong Li, Xiaoyong Gao, Chaodong Tan, Yaoyun Liu, Hongbing Liu

“…The marginal wells in low-permeability oil fields are characterized by small storage size, scattered distribution, intermittent production, etc. …”
Get full text

Selection Method of Cross-Border e-Commerce Export Logistics Mode Based on Collaborative Filtering Algorithm by Ying Yang

“…Secondly, a logistics selection model based on collaborative filtering algorithm is constructed, and the model is verified by a practical case of a specific export cross-border e-commerce company. …”
Get full text