ECGConVT: A Hybrid CNN and Vision Transformer Model for Enhanced 12-Lead ECG Images Classification by Mudassar Khalid, Charnchai Pluempitiwiriyawej, Abdulkadhem A. Abdulkadhem, Imran Afzal, Tien Truong

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Determination of Geochemical Background and Baseline and Research on Geochemical Zoning in the Desert and Sandy Areas of China by Weiji Wen, Fan Yang, Shuyun Xie, Chengwen Wang, Yuntao Song, Yuepeng Zhang, Weihang Zhou

“…This research will greatly enhance our ability to interpret the geochemical distribution and evolutionary patterns of desert elements in China, and it has important scientific significance and practical value for desert research.…”
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Open-Loop Wavefront Reconstruction with Pyramidal Sensors Using Convolutional Neural Networks by Saúl Pérez-Fernández, Alejandro Buendía-Roca, Carlos González-Gutiérrez, Francisco García-Riesgo, Javier Rodríguez-Rodríguez, Santiago Iglesias-Alvarez, Julia Fernández-Díaz, Francisco Javier Iglesias-Rodríguez

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Leveraging Crowdsourced Activity Information for Transit Stations Flow Estimation by Piergiorgio Vitello, Richard D. Connors, Francesco Viti

“…Transit flow estimation and prediction requires capturing the complex urban mobility patterns and activity-travel behavior dynamics governing the travel demand. …”
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The Semantics and Collocations Relation in Food Reviews by Fazel Keshtkar, Ledong Shi, Syed Ahmad Chan Bukhari

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Implementation of Several Data Mining Strategies on Electronic Nose Data for Identifying Gluten in Cheese by Mohammad Nasiri-Galeh, Mahdi Ghasemi-Varnamkhasti

“…It is  not enough to make decisions and judge the data unless discovering the relationships and patterns between the data obtained to determine the relation of new data recorded by the device to the type of cheese, For this purpose, data mining and machine learning methods have been used in this research. …”
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Fusion of Sentiment and Market Signals for Bitcoin Forecasting: A SentiStack Network Based on a Stacking LSTM Architecture by Zhizhou Zhang, Changle Jiang, Meiqi Lu

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Artificial intelligence in predicting pathogenic microorganisms’ antimicrobial resistance: challenges, progress, and prospects by Yan Li, Xiaoyan Cui, Xiaoyan Yang, Guangqia Liu, Juan Zhang

“…The advent of Artificial Intelligence (AI) and Machine Learning (ML) technologies has brought about revolutionary changes in this field. …”
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Semi-Supervised Anomaly Detection for the Identification of Damages in an Aerospace Sandwich Structure Based on Synthetically Generated Strain Data by Florian Forsthuber, Christoph Kralovec, Martin Schagerl

“…The structural health monitoring (SHM) of safety relevant composite components is becoming increasingly relevant as it enables in-service diagnosis and data acquisition capabilities, contributing to the optimization and efficient operation of the overall system and ultimately saving costs and resources. In this field, machine learning (ML) techniques are attracting growing attention due to their capability to recognize complex patterns, making them very suitable for the identification of damages in operating mechanical structures. …”
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Enhancing public transportation through user feedback: the case of Braamfontein, Johannesburg by Retsepile Kalaoane, Trynos Gumbo

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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

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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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A Systematic Literature Review of Current Research Trends in Operational and Related Technology Threats, Threat Detection, and Security Insurance by Nikolaj Goranin, Dainius Čeponis, Antanas Čenys

“…An examination of research patterns from the Web of Science repository is performed to comprehend the panorama of publications and the present state of research in the area of OT security. …”
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RanViz: Ransomware Visualization and Classification Based on Time-Series Categorical Representation of API Calls by Vhuhwavho Mokoma, Avinash Singh

“…Second, the temporal and categorical nature of this data makes identifying meaningful patterns complex. Third, the integration of machine learning (ML) models, which are essential for accurate classification, is hindered by the difficulty of modelling intricate API call behaviours. …”
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Exploring the relationship between data sample size and traffic flow prediction accuracy by Jianhu Zheng, Minghua Wang, Mingfang Huang

“…Real traffic flow data from 13 road sections in Changsha, China, are analyzed using the Decision Tree, Support Vector Machine, Gaussian Process Regression and Artificial Neural Network models. …”
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Artificial intelligence-driven precipitation downscaling and projections over Thailand using CMIP6 climate models by Muhammad Waqas, Usa Wannasingha Humphries

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Equivalence Between Optical Flow, the Unrest Index, and Walking Distance to Estimate the Welfare of Broiler Chickens by Danilo Florentino Pereira, Irenilza de Alencar Nääs, Saman Abdanan Mehdizadeh

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Extraction of Clinically Relevant Temporal Gait Parameters from IMU Sensors Mimicking the Use of Smartphones by Aske G. Larsen, Line Ø. Sadolin, Trine R. Thomsen, Anderson S. Oliveira

“…These associations preserved inter-subject patterns that are relevant for detecting gait disorders. …”
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A Comprehensive Review of EEG-Based Seizure Detection Techniques by Goldwyn Sudhakar Jebaraj, Konguvel Elango

“…Despite considerable progress in EEG signal acquisition, preprocessing methodologies, and the application of machine learning algorithms, significant challenges persist due to the inherent complexity and inter-subject variability observed in seizure patterns. …”
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Unraveling the interrelationship between breast cancer and endometriosis based on multi-omics analysis by Jie Yang, Ping-Ting Li, Sheng-Ying Xi

“…Both conditions share notable characteristics including estrogen dependence, progressive growth patterns, recurrence tendencies, and metastatic potential. …”
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