Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data by Yihang Zhou, Ruige Kong, Zhengsen Xu, Linlin Xu, Sibo Cheng

“…Abstract Facing the escalating threat of global wildfires, numerous computer vision techniques using remote sensing data have been applied in this area. However, the selection of deep learning methods for wildfire prediction remains uncertain due to the lack of comparative analysis in a quantitative and explainable manner, crucial for improving prevention measures and refining models. …”
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Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling by Kaida Cai, Xiaofang Yang, Zhengyan Wang, Wenzhi Fu, Hanwen Liu, Fatemeh Mahmoudi

Subjects: “…Machine learning…”
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A deep transfer learning model for green environment security analysis in smart city by Madhusmita Sahu, Rasmita Dash, Sambit Kumar Mishra, Mamoona Humayun, Majed Alfayad, Mohammed Assiri

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Multimodal Classification of Alzheimer’s Disease Using Longitudinal Data Analysis and Hypergraph Regularized Multi-Task Feature Selection by Shuaiqun Wang, Huan Zhang, Wei Kong

“…While magnetic resonance imaging has become an indispensable neuroimaging modality for Alzheimer’s disease diagnosis and monitoring, current diagnostic paradigms predominantly rely on single-time-point data analysis, neglecting the inherent longitudinal nature of neuroimaging applications. …”
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Enhancing telemedicine service quality through sentiment analysis of user review dataset in IndonesiaMendeley Data by Edi Sutoyo, Muhammad Cekas Permana

Subjects: “…Sentiment analysis…”
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An Analysis of Novel Money Laundering Data Using Heterogeneous Graph Isomorphism Networks. FinCEN Files Case Study by Filip Wójcik

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Integrating Genetic Programming with Dimensional Analysis and Data-Splitting for Heat Transfer Estimation of Nanofluids by Kazuki Fukushima, Koki Yagihara, Alexander Guzman-Urbina, Hajime Ohno, Yasuhiro Fukushima

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Machine Learning Models and Mathematical Approaches for Predictive IoT Smart Parking by Vesna Knights, Olivera Petrovska, Jasmina Bunevska-Talevska, Marija Prchkovska

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Data-Driven Learning Models for Internet of Things Security: Emerging Trends, Applications, Challenges and Future Directions by Oyeniyi Akeem Alimi

“…Considering the growth trends, this study presents a critical review of recently published articles whereby learning models were proposed for IoT security analysis. …”
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Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management by Chenxi Wang, Chenxi Wang, Xinyue Yuan, Wei Jing

“…Traditional EEG interpretation relies on manual analysis, which suffers from high misdiagnosis rates and inefficiency.MethodsThis review systematically evaluates the integration of artificial intelligence (AI), particularly deep learning (DL) and machine learning (ML), into EEG analysis for epilepsy management. …”
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Comprehensive analysis of anoikis-related genes in diagnosis osteoarthritis: based on machine learning and single-cell RNA sequencing data by Jun-Song Zhang, Run-Sang Pan, Guo-Lu Li, Jian-Xiang Teng, Hong-Bo Zhao, Chang-Hua Zhou, Ji-Sheng Zhu, Hao Zheng, Xiao-Bin Tian

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Comparison of deep learning models for predictive maintenance in industrial manufacturing systems using sensor data by Wenjun Li, Ting Li

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Multimodal deep learning for art behavior analysis and personalized teaching path generation by Yikun Li, Jie Shi

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Dual-coding Contrastive Learning Based on the ConvNeXt and ViT Models for Morphological Classification of Galaxies in COSMOS-Web by Shiwei Zhu, Guanwen Fang, Chichun Zhou, Jie Song, Zesen Lin, Yao Dai, Xu Kong

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Unveiling Immune Response Mechanisms in Mpox Infection Through Machine Learning Analysis of Time Series Gene Expression Data by Qinglan Ma, Xianchao Zhou, Lei Chen, Kaiyan Feng, Yusheng Bao, Wei Guo, Tao Huang, Yu-Dong Cai

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Performance Analysis of Machine Learning Techniques for Server Health Monitoring Using Time Series Data Against DDOS Attacks by Sajja Ratan Kumar, Valli Kumari Vatsavayi

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SHOULD LIKERT DATA BE TRANSFORMED USING SUMMATED RATING SCALE? A CONFIRMATORY FACTOR ANALYSIS STUDY ON THE CONTINUOUS LEARNING by Islamiani Safitri

“…This study aims to compare the results of instrument analysis through Confirmatory Factor Analysis (CFA) based on direct data and conversion data. …”
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Integrated Analysis of Ferroptosis- and Cellular Senescence-Related Biomarkers in Atherosclerosis Based on Machine Learning and Single-Cell Sequencing Data by Qi X, Cao S, Chen J, Yin X

“…Single-cell RNA-seq data were used to assess the roles of hub genes in cell communication and differentiation. …”
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Toward automated plantar pressure analysis: machine learning-based segmentation and key point detection across multicenter data by Carlo Dindorf, Jonas Dully, Steven Simon, Dennis Perchthaler, Stephan Becker, Hannah Ehmann, Christian Diers, Christoph Garth, Michael Fröhlich

“…Traditional proportion-based segmentation methods are often limited, particularly for atypical foot structures and low-quality data. Although recent advances in machine learning (ML) offer opportunities for automated and robust segmentation across diverse datasets, existing models primarily rely on data from single laboratories, limiting their applicability to multicenter datasets. …”
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Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis by Fahim Faisal, Antonios Danelakis, Marte-Helene Bjørk, Bendik Winsvold, Manjit Matharu, Parashkev Nachev, Knut Hagen, International Headache Genetics Consortium, Erling Tronvik, Anker Stubberud

“…We aimed to investigate if machine learning could exploit the combination of genetic data and general clinical features to identify individuals at risk for new-onset migraine. …”
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