Complex Texture Contour Feature Extraction of Cracks in Timber Structures of Ancient Architecture Based on YOLO Algorithm by Jian Ma, Weidong Yan, Guoqi Liu, Shiyu Xing, Siqi Niu, Tong Wei

“…In order to find a better algorithm, this paper mainly adopts three models including YOLO v3, YOLO v4s-mish, and YOLO v5s to detect cracks in the timber structures of ancient architecture, and compares and analyzes the advantages and disadvantages of the three models. …”
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Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system by Jian Chen, Yuwei Wang, Xin Ye, Mo Chen, Qun Zhou

“…Abstract The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning optical system. …”
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Creative Design and Technical Analysis of Animation Public Service Advertisement Based on Ant Colony Optimization Algorithm by Huabai Liu

“…This paper mainly describes how to use the ant colony optimization algorithm in the actual design process to carry out the corresponding design and analysis and then improve the overall communication of advertising. …”
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Resource scheduling strategy based on simulated annealing algorithm in hybrid D2D cellular networks by Xiang YU, Haibo ZHANG, Lu YANG

“…D2D communication is a short distance communication mode in the future 5G network.In the process of communication,the information is transmitted from the sender to the receiver directly,without the need to transmit through the base station.The introduction of D2D communication in the traditional cellular network can greatly improve the total throughput of the system,increase the utilization of spectrum resources and reduce the power consumption of the transmitter.A resource allocation method which was used in hybrid D2D cellular network was mainly introduced,spectrum resources was distributed by Lagrange multiplier method combined with simulated annealing algorithm,a consideration of channel capacity and energy consumption of the resource scheduling strategy based on simulated annealing algorithm was put forward.This algorithm was simulated by the simulation platform in Vienna,compared to the traditional greedy optimization algorithm,it can significantly increase the total system throughput and bandwidth utilization and reduce the power consumption.In addition,the distributed algorithm was adopted,that D2D users searched for a suitable target channel and calculated their transmit power according to the algorithm steps,which reduced the signaling overhead of the base station.…”
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Convolution neural network algorithm-based fouling organisms classification model of seawater circulation cooling system by ZHANG Yi

“…The attachment of fouling organisms on the pipe wall structures is mainly in the form of aggregation of dominant species. …”
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A Proposed Approach For Solving Asymmetric Travelling Salesman Problem by Fuzzy Ant Colony Optimization Algorithm by Mehmet Aksaraylı, Osman Pala

“…Due to this reason, heuristic methods are mainly used for solving Travelling Salesman Problem. …”
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AGV Scheduling and Energy Consumption Optimization in Automated Container Terminals Based on Variable Neighborhood Search Algorithm by Ning Zhao, Rongao Li, Xiaoming Yang

“…Automated Guided Vehicles (AGVs) for automated container terminals are mainly used for horizontal transportation at the forefront of the terminal. …”
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Research on Ground Point Cloud Segmentation Algorithm Based on Local Density Plane Fitting in Road Scene by Tao Wang, Yiming Fu, Zhi Zhang, Xing Cheng, Lin Li, Zhenxue He, Haonan Wang, Kexin Gong

“…Experimental results show that the algorithm used in this paper has advantages compared with advanced algorithms of the same category, and can greatly reduce ground interference.…”
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Research on Pedestrian Avoidance Behavior for School Section Based on Improved BP Neural Network and XGboost Algorithm by Guiliang Lu, Mingwei Liu

“…While traditional studies on pedestrian evasive behavior have mainly focused on general traffic environments and used image-based features to predict trajectories, few have specifically addressed the behavior of pedestrians in school zones. …”
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Leveraging social circles and algorithmic processes in digital mental health tools for college students' stress management by Farhanuddin Fazaluddin Kazi, Jomara Sandbulte

“…Moreover, research on recommender systems (RSs) has mainly focused on single-user interactions, leaving a gap in the development of RSs for group settings, particularly in the health domain. …”
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An Improved SLAM Algorithm for Substation Inspection Robots Based on 3D Lidar and Visual Information Fusion by Yicen Liu, Songhai Fan

“…Current substation inspection robots mainly use Lidar as a sensor for localization and map building. …”
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A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows by Hao Jiang, Zhiwei Zhang, Chao Wang, Xiaoshu Xiang

“…Abstract The Vehicle Routing Problems with Soft Time Windows (VRPSTWs) presents a common challenge in practical scenarios, which has spurred the development of various algorithmic solutions. Among these solutions, hybrid approaches that integrate evolutionary algorithms and neighborhood search techniques have shown great promise. …”
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Multi-Station Agricultural Machinery Scheduling Based on Spatiotemporal Clustering and Learnable Multi-Objective Evolutionary Algorithm by Liruizhi Jia, Qinshuo Zhang, Shengquan Liu, Bo Kong, Yuan Liu

“…The multi-station agricultural machinery scheduling process mainly involves two key stages: order allocation and path planning. …”
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A Deep Learning Algorithm of Neural Network for the Parameterization of Typhoon‐Ocean Feedback in Typhoon Forecast Models by Guo‐Qing Jiang, Jing Xu, Jun Wei

“…Abstract Two algorithms based on machine learning neural networks are proposed—the shallow learning (S‐L) and deep learning (D‐L) algorithms—that can potentially be used in atmosphere‐only typhoon forecast models to provide flow‐dependent typhoon‐induced sea surface temperature cooling (SSTC) for improving typhoon predictions. …”
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Canola Yield Estimation Using Remotely Sensed Images and M5P Model Tree Algorithm by Ileana De los Ángeles Fallas Calderón, Muditha K. Heenkenda, Tarlok S. Sahota, Laura Segura Serrano

“…Canola yield was estimated using selected vegetation indices derived from images, the percent cover of flowers, and the M5P Model Tree algorithm. Field samples were used to calibrate and validate prediction models. …”
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Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan by Takeo Nakayama, Yusuke Tsugawa, Hiroshi Yoshihara, Memori Fukuda, Sho Okiyama

“…Importance heatmaps revealed that the algorithm focused on the posterior pharyngeal wall area, where blood vessels are mainly located.Conclusions The results indicate that a deep learning-based algorithm can detect hypertension with high accuracy using pharyngeal images.…”
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Single-Source and Multi-Source Cross-Subject Transfer Based on Domain Adaptation Algorithms for EEG Classification by Rito Clifford Maswanganyi, Chunling Tu, Pius Adewale Owolawi, Shengzhi Du

“…In this paper, domain adaptation algorithms, including two machine learning (ML) algorithms, are contrasted based on the single-source-to-single-target (STS) and multi-source-to-single-target (MTS) transfer paradigms, mainly to mitigate the challenge of immense inter-subject variations in EEG neural dynamics that lead to poor classification performance. …”
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Monitoring shrub disturbance in the Qinghai–Tibet Plateau from 1990 to 2022 using the LandTrendr algorithm by Chunchun An, YuanYuan Hao, Xuexia Liu, Zhe Meng, Yixuan Wang, Shengshen He, Caicheng Huang

“…Shrub disturbance on the Tibetan Plateau is mainly concentrated in areas with an altitude of 2000–4000 m, a slope gradient of 15°−40°, and a shady slope aspect. …”
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Inversion of Aerosol Chemical Composition in the Beijing–Tianjin–Hebei Region Using a Machine Learning Algorithm by Baojiang Li, Gang Cheng, Chunlin Shang, Ruirui Si, Zhenping Shao, Pu Zhang, Wenyu Zhang, Lingbin Kong

“…The areas with higher concentrations are mainly situated in the southwest of Beijing, and the annual average concentrations of the four components in Beijing’s southwest are 28 μg·m⁻³, 7 μg·m⁻³, 8 μg·m⁻³, and 15 μg·m⁻³ for organics, sulfates, ammonium, and nitrates, respectively. …”
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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

“…In this paper, a genetic algorithm based on multi-layer coding is proposed. …”
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