Reinforcement learning and digital twin-driven optimization of production scheduling with the digital model playground by Arne Seipolt, Ralf Buschermöhle, Vladislav Haag, Wilhelm Hasselbring, Maximilian Höfinghoff, Marcel Schumacher, Henrik Wilbers

“…A promising avenue of research is the optimization of digital twins through Reinforcement Learning (RL). …”
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Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks by Matteo Marouf, Pierre Machart, Vikas Bansal, Christoph Kilian, Daniel S. Magruder, Christian F. Krebs, Stefan Bonn

“…Abstract A fundamental problem in biomedical research is the low number of observations available, mostly due to a lack of available biosamples, prohibitive costs, or ethical reasons. …”
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Removal of Artifcats in Electrocardiograms using Savitzky-Golay Filter: An Improved Approach by Nisha Raheja, Amit Kumar Manocha

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Evaluation of GLOCK 9 mm Firing Pin Aperture Shear Mark Individuality Based on 3,156 Different Pistols (Manufactured Over a 30 Year Period in Two Countries) Using Additional Patter... by James E. Hamby, Eric Warren, Stephen Norris, Nicholas D.K. Petraco

“…A subsample of 617 test-fired cartridge cases were subjected to algorithmic comparison by the Integrated Ballistics Identification System (IBIS). …”
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Psitrum: An open source simulator for universal quantum computers by Mohammed Alghadeer, Eid Aldawsari, Raja Selvarajan, Khaled Alutaibi, Sabre Kais, Fahhad H. Alharbi

“…Psitrum serves as a powerful educational and research tool, enabling a diverse range of stakeholders to understand the fundamental principles and operations of quantum systems. …”
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Are minimum indoor air quality requirements combined with passive retrofit solutions enough to guarantee thermal comfort in southern Spain High Schools? by Calama-González Carmen María, Escandón Rocío, Suárez Rafael

“…This study addresses the challenging research gap of assessing whether passive energy retrofit solutions are adequate for simultaneously achieving indoor air quality and thermal comfort in educational buildings, given the minimum ventilation rate required by Spanish regulations. …”
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Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients by Yuan Liu, Zhuolan Gui, De Yan, Zhuang Wang, Ruisi Gao, Ningxin Han, Junying Chen, Jialing Wu, Dong Ming

“…We anticipate that this dataset will facilitate research into brain neuroplasticity in stroke patients, aid in the development of decoding algorithms for lower limb stroke, and contribute to the establishment of comprehensive stroke rehabilitation systems.…”
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Strategic Demand Response for Economic Dispatch in Wind-Integrated Multi-Area Energy Systems by Peng Li, Li Wang, Peiqiang Zhang, Peng Yan, Chongyang Li, Zhe Nan, Jun Wang

“…This study highlights the potential of collaborative energy management in multi-area systems and provides a pathway for future research to explore advanced control algorithms and the integration of additional renewable energy sources.…”
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Guidelines for releasing a variant effect predictor by Benjamin J. Livesey, Mihaly Badonyi, Mafalda Dias, Jonathan Frazer, Sushant Kumar, Kresten Lindorff-Larsen, David M. McCandlish, Rose Orenbuch, Courtney A. Shearer, Lara Muffley, Julia Foreman, Andrew M. Glazer, Ben Lehner, Debora S. Marks, Frederick P. Roth, Alan F. Rubin, Lea M. Starita, Joseph A. Marsh

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A Forcecardiography dataset with simultaneous SCG, Heart Sounds, ECG, and Respiratory signals by Salvatore Parlato, Jessica Centracchio, Eliana Cinotti, Maria Virginia Manzi, Grazia Canciello, Maria Prastaro, Maria Lembo, Benjamin M. Brandwood, Gaetano D. Gargiulo, Paolo Bifulco, Giovanni Esposito, Raffaele Izzo, Emilio Andreozzi

“…The open accessibility of the FOSTER dataset aims to facilitate advancements in unobtrusive cardio-respiratory patient monitoring, support the development of novel diagnostic tools and algorithms to detect specific events of the cardiac and respiratory cycles, and help researchers to explore the potential of combined electrical and mechanical cardiac monitoring.…”
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Advancing smart aquaculture: Cost-efficient strategies for climbing perch cultivation using AI-based models by Kosit Sriputhorn, Achara Jutagate, Surasak Matitopanum, Rungwasun Kraiklang, Rapeepan Pitakaso, Chakat Chueadee, Sarayut Gonwirat

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The Development and Application of Multi-Cell Elliptical Superconducting Cavity Pre-Tuning Equipment by Ahong Li, Lin Meng, Huachang Liu, Yao Yang, Qiang Chen, Bo Li, Xiaolei Wu, Peihua Qu, Mengxu Fan, Wenzhong Zhou, Cong Zhang

“…Pre-tuning is required to improve their performance, but the process is time-consuming. This research introduces an automated pre-tuning system for multi-cell elliptical superconducting cavities. …”
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Identification and validation of hub genes related to neutrophil extracellular traps-mediated cell damage and immune recruitment during abdominal aortic aneurysm by Chuanlong Lu, Heng Wang, Maolin Qiao, Runze Chang, Jinshan Chen, Lizheng Li, Keyi Fan, Sheng Yan, Ruijing Zhang, Honglin Dong

“…Abstract Previous research has shown that the formation of Neutrophil Extracellular Traps (NETs), mediated by neutrophils, leads to an increase in inflammatory cell response and cellular tissue damage during Abdominal Aortic Aneurysm (AAA). …”
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Interpretable AI-driven multidimensional chemical fingerprints for geographical authentication of Euryales Semen by Daixin Yu, Cheng Qu, Jing Nie, Pei Wen, Yuyang Zhao, Caiyan Dai, Hui Yan, Yuwei Yuan, Qinan Wu

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Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…To address this issue, this research aims to conduct extensive experiments using machine learning models and handcrafted feature extraction in the low-resource language Albanian. …”
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Artificial Intelligence-based Rice Variety Classification: A State-of-the-art Review and Future Directions by Md. Masudul Islam, Galib Muhammad Shahriar Himel, Md. Golam Moazzam, Mohammad Shorif Uddin

“…The study examines key steps in the automation process, including image acquisition, pre-processing, feature extraction, and classification algorithms, with particular emphasis on machine learning and deep learning methods such as Convolutional Neural Networks (CNNs), which have demonstrated exceptional performance in recent research. …”
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3-Dimensional Spatial Analysis of Parking Lot Wall Scratch Using Mobile Point Cloud Data by Y. Li, C. Ye, Y. Zhang, Z. Kang

“…A novel approach integrating YOLOv10 object detection and PTv3 point cloud processing algorithms is developed to detect and localize scratches, while spatial analysis evaluates design factors affecting scratch distribution. …”
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A Robust Conformal Framework for IoT-Based Predictive Maintenance by Alberto Moccardi, Claudia Conte, Rajib Chandra Ghosh, Francesco Moscato

“…This study, set within the vast and varied research field of industrial Internet of Things (IoT) systems, proposes a methodology to address uncertainty quantification (UQ) issues in predictive maintenance (PdM) practices. …”
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Multi-focus image fusion using adaptive patch rendering anisotropic diffusion filter by Sandhya Tatekalva, G. Tirumala Vasu, Samreen Fiza, Hanumantharao Bitra

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Addressing Data Scarcity in Crack Detection via CrackModel: A Novel Dataset Synthesis Approach by Jian Ma, Yuan Meng, Weidong Yan, Guoqi Liu, Xueyan Guo

“…The application of deep learning in crack detection has become a research hotspot in Structural Health Monitoring (SHM). …”
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