Unleashing the Potential of Residual and Dual-Stream Transformers for the Remote Sensing Image Analysis by Priya Mittal, Vishesh Tanwar, Bhisham Sharma, Dhirendra Prasad Yadav

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Transformer-based transfer learning on self-reported voice recordings for Parkinson’s disease diagnosis by Ilias Tougui, Mehdi Zakroum, Ouassim Karrakchou, Mounir Ghogho

“…This study explores end-to-end DL architectures, such as convolutional neural networks and transformers, for diagnosing PD using self-reported voice data collected via smartphones in everyday settings. …”
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Internet addiction in adolescents in Central Siberia: analysis of prevalence and structure of consumed content by L. S. Evert, S. Yu. Tereshchenko, O. I. Zaitseva, N. B. Semenova, M. V. Shubina

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Deep learning-based strategies for evaluating and enhancing university teaching quality by Ying Gao

“…The research process involves multiple complex stages, including data collection, preprocessing, feature extraction, model construction, training, validation, and results analysis. …”
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Classification of mountain-based rail transit stations and analysis of passenger flow influencing mechanisms. by Qingru Zou, Yue Xia, Xinchen Ran, Xueli Guo, Jiaxiao Feng

“…To investigate how these features affect passenger flow variations at rail stations, we analyze geographic-environmental data surrounding the stations and integrate road network topology, automatic fare collection data, and point-of-interest (POI) data. …”
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Deep learning-driven brain tumor classification and segmentation using non-contrast MRI by Nan-Han Lu, Yung-Hui Huang, Kuo-Ying Liu, Tai-Been Chen

“…Several convolutional neural network (CNN) architectures were evaluated for tumor classification, while fully convolutional networks (FCNs) were employed for tumor segmentation. …”
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Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors by Qian Xie, Ning Jin, Shanshan Lu

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Performance Analysis of Non-Pairing Hierarchical Identity-Based Encryption in Active Distribution System by Naveen Tatipatri, S. L. Arun

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Comparative performance analysis between winners and losers in freestyle wrestling at the 2023 World Championship by Georgiy Korobeynikov, Wojciech Cynarski, David Curby, Milorad Dokmanac, Yrui Tropin, Mykola Latyshev, Rashid Matkarimov, Fikrat Kerimov, Lesia Korobeinikova, Shukurjon Gaziyev

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Advanced AI-driven detection of cinnamon powder adulteration using near-infrared spectroscopy and deep learning image recognition technique by Hao-Hsiang Ku, Ya-Chuan Liao, Ching-Ho Chi

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Machine learning enhanced formation pressure prediction using integrated well logging and mud logging by Jiwen Liang, Ming Luo, Wentuo Li, Bo Sun, Chuanliang Yan, Zhongying Han, Yuanfang Cheng

“…The IWM model significantly reduces the prediction error of formation pore pressure, achieving an average improvement of 8.32% enhancement in prediction accuracy compared to traditional data models. …”
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Application of Artificial Intelligence in Retinopathy of Prematurity From 2010 to 2023: A Bibliometric Analysis by Jing Gao, Na Fang, Yao Xu

“…Data analysis and visualization were performed using Bibliometrix and VOSviewer, covering publications, journals, authors, institutions, countries, collaboration networks, keywords, and trending topics. …”
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Predictive Modeling of Surface Roughness and Cutting Temperature Using Response Surface Methodology and Artificial Neural Network in Hard Turning of AISI 52100 Steel with Minimal C... by Sandip Mane, Rajkumar Bhimgonda Patil, Sameer Al-Dahidi

“…The influence of key machining parameters, such as cutting speed, feed rate, and depth of cut, on the performance indicators was modeled using the response surface methodology (RSM) and the artificial neural network (ANN). The RSM was employed for a structured, statistical analysis, while an ANN provided a data-driven approach for capturing complex non-linear relationships. …”
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Bibliometric analysis of the intestinal microbiota and demyelinating diseases, particularly multiple sclerosis, since 2014 by Ling Chen, Le-Le Wu, Chang-Yin Yu, Zu-Cai Xu, Hao Huang

“…BackgroundThe gut–brain axis (GBA) represents a complex, bidirectional communication network that connects the central nervous system (CNS) and the gastrointestinal system. …”
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Comparative Analysis of User Satisfaction Levels of Threads and X Applications Using the PIECES Method by Nurul Rahmayani, Dolly Indra, Muhammad Arfah Asis

“…This research uses the PIECES analysis method, which consists of several assessment indicators (Performance, Information and Data, Economics, Control, Security, Efficiency, and Service) by distributing questionnaires to active users of Threads and X from various regions to get 1002 respondents. …”
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Interpreting Global Terrestrial Water Storage Dynamics and Drivers with Explainable Deep Learning by Haijun Huang, Xitian Cai, Lu Li, Xiaolu Wu, Zichun Zhao, Xuezhi Tan

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Perioperative Trends in Distress Among Cancer Patients: A Systematic Review and Meta‐Analysis by Dana G. Rowe, Ellen O'Callaghan, Seeley Yoo, Juliet C. Dalton, Joshua Woo, Edwin Owolo, Tara Dalton, Margaret O. Johnson, Andrea N. Goodwin, Kerri‐Anne Crowell, Samantha Kaplan, Melissa M. Erickson, C. Rory Goodwin

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Link quality prediction based on random forest by Linlan LIU, Shengrong GAO, Jian SHU

“…Link quality prediction is vital to the upper layer protocol design of wireless sensor networks.Selecting high quality links with the help of link quality prediction mechanisms can improve data transmission reliability and network communication efficiency.The Gaussian mixture model algorithm based on unsupervised clustering was employed to divide the link quality level.Zero-phase component analysis (ZCA) whitening was applied to remove the correlation between samples.The mean and variance of signal to noise ratio,link quality indicator,and received signal strength indicator were taken as the estimation parameters of link quality,and a link quality estimation model was constructed by using a random forest classification algorithm.The random forest regression algorithm was used to build a link quality prediction model,which predicted the link quality level at the next moment.In different scenarios,comparing with exponentially weighted moving average,triangle metric,support vector regression and linear regression prediction models,the proposed prediction model has higher prediction accuracy.…”
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Digital Media Literacy in Scholarly Discourse: A Bibliometric Analysis of Scopus-Indexed Publications by Ahmad Riyadh Umar Bahlamar

“…This study employed bibliometric analysis to examine research developments and identify emerging topics in digital media literacy, utilizing data from the Scopus database spanning 2018–2024. …”
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An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model by Jiawen You, Huafeng Cai, Dadian Shi, Liwei Guo

“…This paper proposes a hybrid forecasting method (VMD–KPCA–xLSTM–Informer) based on variational-mode decomposition (VMD), kernel principal component analysis (KPCA), extended long short-term memory network (xLSTM), and the Informer model. …”
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