One-Class Anomaly Detection for Industrial Applications: A Comparative Survey and Experimental Study by Davide Paolini, Pierpaolo Dini, Ettore Soldaini, Sergio Saponara

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Bridge Digital Twin for Practical Bridge Operation and Maintenance by Integrating GIS and BIM by Yan Gao, Guanyu Xiong, Ziyu Hu, Chengzhang Chai, Haijiang Li

“…This comprehensive approach demonstrates the potential of DTs to enhance bridge O&M efficiency, safety, and decision-making. Future research will focus on further improving cross-platform interoperability to expand DT applications in infrastructure management.…”
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Scene Text Detection and Recognition Using Maximally Stable Extremal Region by Golda Jeyasheeli P, Athinarayanan B, Manish T, Mohamad Umar M

“… In recent years, scene text detection and recognition have become important research areas in computer vision and machine learning. …”
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The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events by Kebao Zhang, Beilei Guo, Mingchuan Yang, Yi Jia, Kehu Zhang, Liu Wang

“…Finally, the K-Nearest Neighbor (KNN) of artificial intelligence algorithms is employed to identify differences for 400 strokes of tennis players in interval training session. …”
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Raw dataset of tensile tests in a 3D-printed nylon reinforced with oriented short carbon fibersMendeley Data by Ênio H. Pires, João V. Barreto Netto, Marcelo L. Ribeiro

“…These data provide valuable insights into the anisotropic mechanical behavior of 3D-printed composites and can be reused for further research on material behavior under varying conditions like multiscale simulations and deep learning algorithms.…”
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Adaptive temporal compression for reduction of computational complexity in human behavior recognition by Haixin Huang, Yuyao Wang, Mingqi Cai, Ruipeng Wang, Feng Wen, Xiaojie Hu

“…Abstract The research on video analytics especially in the area of human behavior recognition has become increasingly popular recently. …”
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Comparative analysis of daily global solar radiation prediction using deep learning models inputted with stochastic variables by Amit Kumar Yadav, Raj Kumar, Meizi Wang, Gusztáv Fekete, Tej Singh

“…Therefore, DGSR prediction research is crucial nowadays to produce photovoltaic power. …”
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Improved RT-DETR Framework for Railway Obstacle Detection by Peng Li, Yanhui Peng, Su-Mei Wang, Cheng Zhong

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Dataset of date palm tree (Phoenix dactylifera L.) thermal images and their classification based on Red Palm Weevil (Rhynchophorus ferrugineus) infestation by Adnan Nadeem, Muhammad Ashraf, Amir Mehmood, Kashif Rizwan, Muhammad Shoaib Siddiqui

“…The dataset shows promising potential for further studies, supporting a wide range of research topics extending the body of knowledge. It is valuable for researchers, industry professionals, public authorities, and others interested in harvesting date palm trees.…”
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ecochange: An R‐package to derive ecosystem change indicators from freely available earth observation products by Wilson Lara, Maria C. Londoño, Ivan Gonzalez, Victor H. Gutierrez‐Velez

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Optimization of the Residual Biomass Supply Chain: Process Characterization and Cost Analysis by Leonel J. R. Nunes, Sandra Silva

“…Techniques such as linear programming, genetic algorithms, and tabu search are contextualized within these models. …”
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Task Scheduling in Cloud Environment–Techniques, Applications, and Tools: A Systematic Literature Review by Olanrewaju L. Abraham, Md Asri Bin Ngadi, Johan Bin Mohamad Sharif, Mohd Kufaisal Mohd Sidik

“…It also outlines future research directions to support current researchers and practitioners.…”
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Reinforcement Learning for Autonomous Process Control in Industry 4.0: Advantages and Challenges by Nuria Nievas, Adela Pagès-Bernaus, Francesc Bonada, Lluís Echeverria, Xavier Domingo

“…The analysis focuses on application types, problem modeling, training algorithms, validation methods, and deployment statuses. …”
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Wearable Physiological Signals under Acute Stress and Exercise Conditions by Andrea Hongn, Facundo Bosch, Lara Eleonora Prado, José Manuel Ferrández, María Paula Bonomini

“…The dataset is publicly available for further research.…”
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Artificial intelligence in personalized nutrition and food manufacturing: a comprehensive review of methods, applications, and future directions by Kushagra Agrawal, Polat Goktas, Navneet Kumar, Man-Fai Leung

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Intelligent Motion Compensation for Improving the Tracking Performance of Shipborne Phased Array Radar by J. Mar, K. C. Tsai, Y. T. Wang, M. B. Basnet

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Population Structure of the Invasive Asian Tiger Mosquito, Aedes albopictus, in Europe by Margaret K. Corley, Luciano Veiga Cosme, Peter A. Armbruster, Nigel Beebe, Anna Bega, Sebastien Boyer, Beniamino Caputo, Chun‐Hong Chen, Jacob E. Crawford, Alessandra dellaTorre, Roger Eritja, Michael C. Fontaine, Richard J. Gill, Trang Huynh, Perparim Kadriaj, Kevin Maringer, Ademir Jesus Martins, Andrew Maynard, Shomen Mukherjee, Leonard E. Munstermann, Verena Pichler, Maria Sharakhova, Sinnathamby Noble Surendran, Sandra Urbanelli, Enkelejda Velo, Isra Wahid, Muhammet Mustafa Akiner, Georgios Balatsos, Gilles Besnard, Maria Louise Borg, Daniel Bravo‐Barriga, Rubén Bueno Marí, Francisco Collantes, Cintia Horvath, Mihaela Kavran, Raquel Medialdea‐Carrera, Tanya Melillo, Antonios Michaelakis, Ognyan Mikov, Arianna Puggioli, Elton Rogozi, Francis Schaffner, Kayleigh Hackett, Thomas Johnson, Tina Wu, João Pinto, Vera Valadas, Adalgisa Caccone

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A comprehensive review of remote sensing techniques for monitoring Ulva prolifera green tides by Xiaomeng Geng, Xiaomeng Geng, Xiaomeng Geng, Huiru Li, Huiru Li, Le Wang, Weidong Sun, Yize Li

“…This review aims to guide future research efforts and technological innovations in this field.…”
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Gravity Predictions in Data-Missing Areas Using Machine Learning Methods by Yubin Liu, Yi Zhang, Qipei Pang, Sulan Liu, Shaobo Li, Xuguo Shi, Shaofeng Bian, Yunlong Wu

“…Gravity data, comprising a key foundational dataset, are crucial for various research, including land subsidence monitoring, geological exploration, and navigational positioning. …”
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Emotion Detection and Student Engagement in Distance Learning During Containment Due to the COVID-19 by Benyoussef Abdellaoui, Ahmed Remaida, Zineb Sabri, Younes EL BOUZEKRI EL IDRISSI, Aniss Moumen

“…The task of getting learners interested in class is difficult for the professors. In this research, a mechanism has been developed to estimate student engagement levels and emotions. …”
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