Urban Recreational Space Heat-Emotion Distribution and Matching Pattern Based on Machine Learning: A Case Study of Guangzhou City by Wang Fuyuan, Zhang Zhiyu, Xie Yuanjing, Yang Xinyi, Sun Miao

“…Using Guangzhou as a case study, this study harnesses big data sourced from Ma Feng Wo and Ctrip. Based on machine learning techniques, it discerns recreational emotions and synergizes Geographic Information System (GIS) spatial analysis with heat-emotion matching analysis. …”
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Analysis on the Variation Characteristics of Rainstorm and Cause of Flood in Central Yunnan — Take Downtown of Yuxi City as an Example by ZHU Wenxiang

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Automated Foveal Avascular Zone Segmentation in Optical Coherence Tomography Angiography Across Multiple Eye Diseases Using Knowledge Distillation by Peter Racioppo, Aya Alhasany, Nhuan Vu Pham, Ziyuan Wang, Giulia Corradetti, Gary Mikaelian, Yannis M. Paulus, SriniVas R. Sadda, Zhihong Hu

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Methodology for Estimating the Cost of Construction Equipment Based on the Analysis of Important Characteristics Using Machine Learning Methods by Nataliya Boyko, Oleksii Lukash

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The Intersection of Quranic Studies and Modern Technology: A Bibliometric Analysis of Academic Publications from 2000 to 2024 by Andri Nirwana AN, Mahmudulhassan Mahmudulhassan, Mohamad Ali, Muthoifin Muthoifin, Waston Waston, Abdul Rahman Bin S. Senathirajah

“…R/R-Studio was used for document and citation analysis, VOSviewer was used for network visualizations, and Microsoft Excel was used for data administration. …”
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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

“…Simulation experiments were conducted using card swipe data from Harbin Metro Line 1. The results show that the ISSA provides a more accurate optimization with the average values and standard deviations of the 12 benchmark test function simulations being closer to the optimal values. …”
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High-speed encrypted traffic classification by using payload features by Xinge Yan, Liukun He, Yifan Xu, Jiuxin Cao, Liangmin Wang, Guyang Xie

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Voltage Regulation and Power Loss Analysis on 500 kV EHV Transmission Line Krian-Grati by Reza Sarwo Widagdo, I Made Kastiawan, Imam Suri Tauladan, Indra Budi Hermawan

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Fracturing effects evaluation and gas water production characteristics analysis at different layers of surface horizontal wells by Mingqiang LI, Chunhui YE, Tengfei CAO, Ke YANG, Zhainan ZHANG, Wenjie LIU

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Analysis and validation of hub genes for atherosclerosis and AIDS and immune infiltration characteristics based on bioinformatics and machine learning by Qirui Zheng, Yupeng Wu, Xiaojiao Zhang, Yuzhu Zhang, Zaihan Zhu, Bo Luan, Peizhuo Zang, Dandan Sun

“…Enrichment analysis employed GO and KEGG, protein–protein interaction network was constructed. …”
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The pain funding gap: A database analysis of pain research funding in Canada from 2008–2023 by S. S. Abssy, R. Bosma, S. Miles, H. Clarke, M. Moayedi

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An atlas of chaperone–protein interactions in Saccharomyces cerevisiae: implications to protein folding pathways in the cell by Yunchen Gong, Yoshito Kakihara, Nevan Krogan, Jack Greenblatt, Andrew Emili, Zhaolei Zhang, Walid A Houry

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COMPARATIVE ANALYSIS OF TISSUE EXERTION OF MUCOUS MEMBRANES DURING DIFFERENT STAGES OF TENSION IN PERFORMING ON CLOTTING OPERATION by D.V. Kaplun, V.M. Skrupnik, S.O. Stavitsky

“…The aim of the study was to carry out a comparative analysis of mucous membranes of varying degrees of tension during fracture operations in the oral cavity. …”
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Integrating Copula-Based Random Forest and Deep Learning Approaches for Analyzing Heterogeneous Treatment Effects in Survival Analysis by Jong-Min Kim

“…This paper presents deep learning models—specifically, Long Short-Term Memory (LSTM) networks and hybrid Convolutional Neural Network–LSTM (CNN-LSTM) with a Copula-Based Random Forest (CBRF) model to estimate Heterogeneous Treatment Effects (HTEs) in survival analysis. …”
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Influence of wearable biometric sensors on performance indicators of volleyball players by Guoqing Jia

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Unraveling trends in schistosomiasis: deep learning insights into national control programs in China by Qing Su, Cici Xi Chen Bauer, Robert Bergquist, Zhiguo Cao, Fenghua Gao, Zhijie Zhang, Yi Hu

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Modelling of the water distribution system and determination of losses: the case of Halaba Kulito town, Central Ethiopia by Semaria Moga Lencha, Tesfaye Achiso Babore

“…The Water Geospatial Engineering Modeling System (WaterGEMS v8i) model was used for the hydraulic analysis of the distribution network by means of the data on the water distribution network and the master plan map of the Town. …”
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Tuberculosis incidence among children under five years of age in Mozambique: Spatial distribution and predictors in a nationwide Bayesian disease mapping study by Nelson Cuboia, Marla Amaro, Ivan Manhiça, Joana Reis-Pardal, Pereira Zindoga, Isabel Pfumo-Cuboia, Benedita José, Claúdia Mutaquiha, Luís Nitrogénio, Aleny Couto, Luís Azevedo

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Digital Biomarkers for Parkinson Disease: Bibliometric Analysis and a Scoping Review of Deep Learning for Freezing of Gait by Wenhao Qi, Shiying Shen, Chaoqun dong, Mengjiao Zhao, Shuaiqi Zang, Xiaohong Zhu, Jiaqi Li, Bin Wang, Yankai Shi, Yongze Dong, Huajuan Shen, Junling Kang, Xiaodong Lu, Guowei Jiang, Jingsong Du, Eryi Shu, Qingbo Zhou, Jinghua Wang, Shihua Cao

“…Future research will likely progress toward deeper applications of artificial intelligence, enhanced interinstitutional collaboration, comprehensive analysis of different data types, and the exploration of digital biomarkers for a broader range of Parkinson symptoms. …”
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Deep Learning for Video Fluoroscopic Swallowing Study Analysis: A Survey on Classification, Detection, and Segmentation Techniques by Ahmed Fakhry, Sarah Mary Antony, Eunhee Park, Jong Taek Lee

“…Deep learning has significantly advanced the analysis of Video Fluoroscopic Swallowing Study data, an essential diagnostic tool for dysphagia assessment. …”
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