Detecting House of Spirit Attacks by Glibc Heap Information Extraction by ZHAI Jiqiang, WANG Jiaqian, HAN Xu, SUN Haixu

“… The current forensic research on heaps mainly extracts information from the heap and the NT heap of Windows. …”
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The analysis of rural revitalization serviceplatform in smart city under back propagation neural network. by Gongyi Jiang, Weijun Gao, Meng Xu, Mingjia Tong

“…The tourism transportation and safety services are mainly evaluated at level D, and the model can indicate the level of rural revitalization tourism service; (4) Compared with other algorithms, the GRA-BPNN algorithm performs the best in rural revitalization evaluation, with an accuracy of 92.3%, precision of 91.8%, recall rate of 93.7%, and F1 score of 92.7%. …”
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Optimal High-Speed Railway Timetable by Stop Schedule Adjustment for Energy-Saving by Dingjun Chen, Sihan Li, Junjie Li, Shaoquan Ni, Xiaolong Liu

“…The fuzzy mathematics programming method is used to design an efficient algorithm. The proposed model and algorithm are demonstrated in the actual operation data of Beijing-Shanghai high-speed railway. …”
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Optimization of the Enterprise Human Resource Management Information System Based on the Internet of Things by Haiqiu Li

“…The hardware and software system and edge node management platform are implemented first, and then the communication scenarios between the edge layer of the system and the sensing layer, the edge layer, and the cloud layer are analysed, and the business type-driven link selection algorithm and the northbound multilink switching algorithm are designed and implemented, respectively, to guarantee the communication reliability between different layers of the system. …”
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Causal Unit Selection using Tractable Arithmetic Circuits by Haiying Huang, Adnan Darwiche

“…While early studies focused mainly on bounding a specific class of counterfactual objective functions using data, more recent work allows one to find optimal units exactly by reducing the causal objective to a classical objective on a meta-model, and then applying a variant of the classical Variable Elimination (VE) algorithm to the meta-model---assuming a fully specified causal model is available. …”
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Deployment and Operation of Battery Swapping Stations for Electric Two-Wheelers Based on Machine Learning by Yu Feng, Xiaochun Lu

“…This study developed a data-driven optimization model based on machine learning algorithms using Beijing’s battery swapping stations and point of interest (POI) dataset. …”
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A benchmark dataset for global evapotranspiration estimation based on FLUXNET2015 from 2000 to 2022 by W. Li, W. Li, Z. Yao, Z. Yao, Y. Qu, Y. Qu, H. Yang, Y. Song, L. Song, L. Wu, Y. Cui, Y. Cui

“…The algorithm significantly improves the gap-filling performance for long gaps and extreme values compared with the original RF and marginal distribution sampling algorithm. …”
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RATIONALE FOR PREVENTION OF CARDIO-CEREBRAL COMPLICATIONS IN THE METABOLIC SYNDROME BASED ON MATHEMATICAL FORECASTING TECHNIQUES by S. V. Chernavskii, A. N. Fursov, N. P. Potekhin, V. N. Yakovlev

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Simultaneous Wood Defect and Species Detection with 3D Laser Scanning Scheme by Zhao Peng, Li Yue, Ning Xiao

“…Wood grading and wood price are mainly connected with the wood defect and wood species. …”
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Retracted: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology by Xinghuo Ye, Qianyi Wang

“…The experimental results of this article show that the active contour image segmentation algorithm can not only ensure the image segmentation algorithm but also reduce the number of iterations and shorten the image segmentation time. …”
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G-ROBOT: An Intelligent Greenhouse Seedling Height Inspection Robot by Baoqi Wang, Yang Ding, Chunyan Wang, Deyu Li, Hongchang Wang, Zhilong Bie, Yuan Huang, Shengyong Xu

“…An intelligent and modular greenhouse seedling height inspection robot was designed to meet the demand for high-throughput, low-cost, and nondestructive inspection during the growth of greenhouse seedlings. The robot structure mainly consists of a multiterrain replacement chassis, an electronic control lift image acquisition support, and a quick disassembly mechanism. …”
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EEG Depression Recognition Based on Multi-domain Features Combined with CBAM Model by CHEN Yu, HU Xiuxiu, WANG Sheng

“…At present, the electroencephalogram (EEG) identification method for depression mainly uses a single feature extraction method, which cannot cover multi-domain feature information, resulting in poor classification performance of the existing model. …”
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Analysis on Land Suitability for Maize and Rapeseed Production Based on Data Mining Method by Zhang Chen, Lin Yan, Zhou Hua

“…[Methods] Based on data mining method, the comprehensive suitability of multi-crop land was quantitatively characterized by a random forest algorithm, a comprehensive index evaluation method, spatially constrained multivariate clustering, and spatial statistics. …”
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Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations. by Sarah M Zala, Doris Reitschmidt, Anton Noll, Peter Balazs, Dustin J Penn

“…The errors generated by A-MUD were mainly false negatives, rather than false positives. …”
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The Significance of MAPK Signaling Pathway in the Diagnosis and Subtype Classification of Intervertebral Disc Degeneration by Yong Liu, Xueyan Chen, Jingwen Chen, Chao Song, Zhangchao Wei, Zongchao Liu, Fei Liu

“…ABSTRACT Background Intervertebral disc degeneration (IDD) is a human aging disease related mainly to inflammation, cellular senescence, RNA/DNA methylation, and ECM. …”
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GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection by Haifeng Zhang, Han Ai, Donglin Xue, Zeyu He, Haoran Zhu, Delian Liu, Jianzhong Cao, Chao Mei

“…Traditional YOLO-series algorithms encounter challenges such as poor robustness in small object detection and significant interference from complex backgrounds. …”
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Knowledge, Readiness, Willingness-to-Use, and Willingness-to-Pay for Telehealth in Nonlife-Threatening Emergency Department Visits by Vahé Heboyan, Phillip Coule, Davide Mariotti, Gianluca De Leo

“…Almost half of the respondents (n = 71; 41.5%) reported the main reason for going to the ED was an ongoing condition or concern. …”
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Vulnerability assessment for reducing risk of environmental hazards based on ecosystem services: Case of Alborz Province by Naser Moghadasi, Sharareh Pourebrahim, Hosein Azarnivand

“…Introduction: The comprehensive identification of hazard risks in order to protect against them is one of the main steps in environmental management. Given the importance of environmental impact assessment in sustainable development, the development of a comprehensive system consisting of effective indicators is vital for the creation or exacerbation of environmental risks, on the one hand, and their monitoring, on the other. …”
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Tumor associated neutrophils promote prostate cancer progression by mediating neutrophil trap secretion through PSMA1- NF-κB-HIF-1α signaling axis by Qian Dai, Qian Dai, Hua Wang, Hua Wang, Fang Li, Fang Li, Runchun Huang, Runchun Huang, Chenjun Jiang, Chenjun Jiang, Liuya Yuan, Liuya Yuan, Yayun Wang, Yayun Wang, Xun Li, Xun Li

“…Prostate cancer (PCa) is a common and deadly cancer in men, and despite its low specificity, PSA testing is the main method that is used to predict prognosis. Effective methods for predicting prognosis in clinical practice are lacking. …”
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A deep dive into artificial intelligence with enhanced optimization-based security breach detection in internet of health things enabled smart city environment by S Jayanthi, Sodagudi Suhasini, N. Sharmili, E. Laxmi Lydia, V. Shwetha, Bibhuti Bhusan Dash, Mrinal Bachute

“…The main aim of the SADDBN-AMOA technique is to provide a resilient attack detection method in the IoHT environment of smart cities to mitigate security threats. …”
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