A Multi-Source Data-Driven Analysis of Building Functional Classification and Its Relationship with Population Distribution by Dongfeng Ren, Xin Qiu, Zehua An

“…Buildings, as key factors influencing population distribution, have various functional attributes. Existing research mainly focuses on the relationship between land functions and population distribution at the macro scale, while neglecting the finer-grained, micro-scale impact of building functionality on population distribution. …”
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Transmission of systemic Risk between the banking systems of Asia-Pacific Countries and Russia by S. A. Dzuba, V. S. Tishkovetz, M. A. Shchepeleva

“…As a result of the application the algorithm, we get two networks —simultaneous interconnections and using the values of the lagged variables. …”
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Onboard Decision-making System of Unmanned Mine Truck by WANG Jia, HUANG Jiade, LIU Zhicong, HUANG Peng, LYU Liang

“…This paper adopts the quadratic programming algorithm based on the shortest time and the optimal energy consumption to solve the speed planning, and adopts the hybrid A-star and curve fitting algorithm based on special scenarios to solve the local path planning, so that the operation efficiency can be improved by 10%~20% in the loading and unloading parking scenario. …”
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Confidential Intelligent Traffic Light Control System: Prevention of Unauthorized Traceability by Ahmad Audat, Maram Bani Younes, Marah Yahia, Said Ghoul

“…Then, a confidential traffic light control system that protects the privacy of traveling vehicles and drivers is presented. The proposed algorithm mainly prevents unauthorized traceability and linkability attacks that threaten people’s lives and violate their privacy. …”
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RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification by Yutong Wang, Ziming Kou, Cong Han, Yuchen Qin

“…Coal gangue identification is the primary step in coal flow initial screening, which mainly faces problems such as low identification efficiency, complex algorithms, and high hardware requirements. …”
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DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants by Yixin Guo, Jinchao Pan, Xueying Wang, Hong Deng, Hong Deng, Mingliang Yang, Mingliang Yang, Enliang Liu, Qingshan Chen, Qingshan Chen, Rongsheng Zhu, Rongsheng Zhu

“…After 200 epochs, the recognition results of various object detection algorithms were compared to obtain the optimal model. …”
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Cell Outage Detection and Compensation in Two-Tier Heterogeneous Networks by Wenqian Xue, Hengzhi Zhang, Yong Li, Dong Liang, Mugen Peng

“…A K-nearest neighbor (KNN) classification algorithm is employed to detect the cell outage automatically. …”
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A Cooperative Spectrum Sensing Method Based on Empirical Mode Decomposition and Information Geometry in Complex Electromagnetic Environment by Yonghua Wang, Shunchao Zhang, Yongwei Zhang, Pin Wan, Jiangfan Li, Nan Li

“…This paper proposes a cooperative spectrum sensing method based on empirical mode decomposition and information geometry. The method mainly includes two modules, a signal feature extraction module and a spectrum sensing module based on K-medoids. …”
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Mapping the landscape of machine learning in chronic disease management: A comprehensive bibliometric study by Shiying Shen, Wenhao Qi, Sixie Li, Jianwen Zeng, Xin Liu, Xiaohong Zhu, Chaoqun Dong, Bin Wang, Qian Xu, Shihua Cao

“…Logistic regression (n = 459) remains the most widely used algorithm, while neural networks (n = 183) show promising potential. …”
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Discussing the Construction of a Budget Management System Combining Multimedia Technology and Financial Risk Management by Xiaoyi Jiang

“…In the aspect of SVM model improvement, according to the discrimination method of SVM, the weighted K-nearest neighbor algorithm is introduced to redistinguish the qualified test samples in the feature space. …”
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A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map by Adel R. Alharbi, Jawad Ahmad, null Arshad, Sajjad Shaukat Jamal, Fawad Masood, Yazeed Yasin Ghadi, Nikolaos Pitropakis, William J Buchanan

“…The focus of the scheme is mainly dependent on the secret keys from the input of the algorithm. …”
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A Method of Intelligent Driving-Style Recognition Using Natural Driving Data by Siyang Zhang, Zherui Zhang, Chi Zhao

“…The K-means clustering algorithm is applied to categorize the car-following and lane-changing groups into three driving styles: conservative, moderate, and radical. …”
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Convolutional neural network–based person tracking using overhead views by Misbah Ahmad, Imran Ahmed, Fakhri Alam Khan, Fawad Qayum, Hanan Aljuaid

“…The GOTURN tracking algorithm achieved similar results with the success rate ranging from 90% to 94%. …”
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Intra-landscape distribution of snow storage in the Mayma river basin (low-mountain area of the Russian Altai) by L. F. Lubenets, D. V. Chernykh

“…This algorithm may be used in the studies of snow accumulation in low-mountain forest landscapes. …”
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Improved printed circuit board defect detection scheme by Lufeng Bai, Wen Hao Xu

“…Compared to the original YOLOv8 algorithm, this algorithm improves the average accuracy on small targets by $$5.5\%$$ for mAP50.…”
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CONTENT-ANALYSIS OF THE RUSSIAN MARKET OF SELECTIVE α2-ADRENOMIMETIC MEDICINAL DRUGS, APPLIED IN THERAPY OF RHINITIS OF DIFFERENT ETIOLOGY by L. V. Ganicheva, A. I. Lyakhov

“…The Russian market is represented mainly by the Russiaproduced drugs. Naphthyzin, Nazivin, and Otrivin are the leaders by the number of information requests in RMD 2016 system. …”
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Point Cloud Completion of Occluded Corn with a 3D Positional Gated Multilayer Perceptron and Prior Shape Encoder by Yuliang Gao, Zhen Li, Tao Liu, Bin Li, Lifeng Zhang

“…To obtain the complete shape and pose of corn under occlusion, this study proposes a point cloud completion algorithm for completing the fragmented corn point cloud after segmentation. …”
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Multi-project scheduling under uncertainty and resource flexibility: a systematic literature review by Marzieh Aghileh, Anabela Tereso, Filipe Alvelos, Maria Odete Monteiro Lopes

“…Based on the results, the approaches proposed to solve the RCMPSP were classified and the main findings were presented. The results show that the main focus of the existing research has been devoted to approximate algorithms. …”
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GIRAFE v1: a global climate data record for precipitation accompanied by a daily sampling uncertainty by H. Konrad, R. Roca, A. Niedorf, S. Finkensieper, M. Schröder, S. Cloché, G. Panegrossi, P. Sanò, C. Kidd, C. Kidd, R. A. Jucá Oliveira, R. A. Jucá Oliveira, K. Fennig, T. Sikorski, M. Lemoine, R. Hollmann

“…GIRAFE is based on precipitation rate estimates obtained from observations by a variety of passive microwave (PMW) radiometers on board low-Earth orbit satellites and related retrieval algorithms and frequent and highly resolved infrared observations from geostationary satellites covering all longitudes and used at latitudes below 55° N/S. …”
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The Use of Neural Networks in Distance Education Technologies for the Identification of Students by O. A. Kozlova, A. A. Protasova

“…With a sufficiently large number of training sets (dataset), more versions of dependencies and variability appear, which makes it possible to create rather complex machine learning models of neural networks, in which retraining takes the main place.…”
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