Challenges of manufacturing for energy efficiency: towards a systematic approach through applications of machine learning by Elaheh Gholamzadeh Nabati, Maria Teresa Alvela Nieto, Dennis Bode, Thimo Florian Schindler, André Decker, Klaus-Dieter Thoben

“…Then, an analysis of currently available machine learning frameworks and their selection and implementation is conducted. …”
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A cluster-based local modeling paradigm for high spatiotemporal resolution VPD prediction using multi-source data and machine learning by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

“…By comparing global and local modeling performances across various machine learning algorithms, the optimal model is selected for VPD inversion. …”
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Analysis of space solar array arc images based on deep learning techniques by Afaf M. Abd El-Hameed, Ahmed S. Farahat, Khaled Y. Youssef, M. Elfarran, I. M. Selim

“…Arcs can lead to severe damage to cell interconnectors due to the generated high peak currents and therefore significantly impact the performance and reliability of spacecraft systems. …”
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Monitoring Ulva prolifera to prevent cooling water intake blockages at nuclear power plants using remote sensing by Haiting Wang, Xueqiang Zhu, Yanyan Cui, Hongtao Ai, Shuai Cai, Mengting Li, Jianying Wang

“…Data from GF-1 WFV, GF-4 PMI, CB04A, and Landsat 8 OLI satellite imagery from 2021 were analysed via NDVI and FAI algorithms to investigate the spatiotemporal distribution of Ulva prolifera. …”
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A New Approach for Quantification of Finger Angles with Applications in Rehabilitation and Medical Assessment by Marius Turnea, Andrei Gheorghita, Irina Duduca, Mariana Rotariu

“…The study opens new perspectives for the development of advanced data processing algorithms, including the integration of deep learning neural networks for modelling and optimizing joint movements…”
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Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data by Jinqun Wu, Jinqun Wu, Yiqin Zheng, Tingting Wang, Chunyong Ma, Chunyong Ma, Ge Chen, Ge Chen

“…The complex convergence of cold and warm ocean currents in the Nordic Seas provides suitable conditions for the formation and development of eddies. …”
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An Exploratory Research to Evaluate the 30 Most Common Pulmonary Embolism Drugs in the Food and Drug Administration Adverse Event Reporting System by Hang Chen, Yiming Shen, Yinyu Mu, Shuguang Xu, Shimo Shen, Weiyu Shen, Zeyang Hu, Hongxiang Li, Keyue Qiu, Jiaheng Zhang, Zhe Chen, Guodong Xu

“…ABSTRACT Backgrounds Pulmonary embolism (PE) is a common disease and a common cause of death. However, it is currently unclear which clinically common drugs can lead to PE. …”
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Sparse support path generation for multi-axis curved layer fused filament fabrication by Tak Yu Lau, Dong He, Yamin Li, Yihe Wang, Danjie Bi, Lulu Huang, Pengcheng Hu, Kai Tang

“…However, support structures in the multi-axis scheme are still needed sometimes when the support-free requirement conflicts with other constraints. Currently, most support generation algorithms are for the conventional 2.5D printing, which are not applicable to multi-axis printing. …”
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A Data-Driven Approach for Predicting Remaining Useful Life of Semiconductor Devices Based on Machine Learning and Synthetic Data Generation: A Review and Case Study on SiC MOSFETs by Yarens J. Yarenscruz, Fernando Castano, Alberto Villalonga, Madhav Mishra, Rodolfo E. Haber

“…Data-driven approaches, particularly those methods based on machine learning, are currently being used due to their ability to model complex degradation patterns without the need for explicit physical modeling. …”
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IDEA: Image database for earthquake damage annotationZenodo by Ilaria Senaldi, Chiara Casarotti, Martina Mandirola, Alessio Cantoni

“…Furthermore, the IDEA dataset is valuable as benchmark for enhancing the performance of damage classification/detection algorithms, encompassing some of the limits of currently available datasets, which cover only a few structural typologies or damage classes, or consist of classified rather than annotated images, or originate from limited laboratory experiments rather than post-event reconnaissance.…”
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Deep learning-based crop health enhancement through early disease prediction by Venkata Santhosh Yakkala, Krishna Vamsi Nusimala, Badisa Gayathri, Sriya Kanamarlapudi, S. S. Aravinth, Ayodeji Olalekan Salau, S. Srithar

“…Manual disease detection methods currently in use are laborious, time-intensive, and heavily reliant on specialized knowledge. …”
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Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age by Xiaolong Guo, Mahnoor Sulaiman, Alexander Neumann, Shijie C. Zheng, Charlotte A.M. Cecil, Andrew E. Teschendorff, Bastiaan T. Heijmans

“…Although cell-type deconvolution can address this challenge for cord and adult blood, currently there is no method applicable to blood from other age groups, including infants and children. …”
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Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review by Muhammad Waqas Arshad, Stefano Lodi, David Q. Liu

“…The optimization of independent automotive suspension systems, which is one of the main pillars of the vehicle performance and comfort, is currently going through a revolutionary change due to the development of artificial intelligence and quantum computing. …”
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SOD-YOLO: A lightweight small object detection framework by Yunze Xiao, Nan Di

“…Abstract Currently, lightweight small object detection algorithms for unmanned aerial vehicles (UAVs) often employ group convolutions, resulting in high Memory Access Cost (MAC) and rendering them unsuitable for edge devices that rely on parallel computing. …”
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Multi-Signal Induction Motor Broken Rotor Bar Detection Based on Merged Convolutional Neural Network by Tianyi Wang, Shiguang Wen, Shaotong Sheng, Huimin Ma

“…The method preprocesses motor currents by Hilbert-Huang Transform (HHT) and Park’s Vector Modulus (PVM) and then uses a merged convolutional neural network (CNN) for classification. …”
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DANC-Net: Dual-Attention and Negative Constraint Network for Point Cloud Classification by Hang Sun, Yuanyue Zhang, Jinmei Shi, Shuifa Sun, Guanqun Sheng, Yirong Wu

“…Nevertheless, in point cloud signal processing, most point cloud classification networks currently do not consider local feature correlation. …”
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Syllable-, Bigram-, and Morphology-Driven Pseudoword Generation in Greek by Kosmas Kosmidis, Vassiliki Apostolouda, Anthi Revithiadou

“…Currently, no automatic process for pseudoword generation is designed explicitly for Greek, which is our primary focus. …”
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A Data-Driven Comparative Analysis of Machine-Learning Models for Familial Hypercholesterolemia Detection by Tomasz Kocejko

“…This study presents an assessment of familial hypercholesterolemia (FH) probability using different algorithms (CatBoost, XGBoost, Random Forest, SVM) and its ensembles, leveraging electronic health record data. …”
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Preimage and collision attacks on reduced Ascon using algebraic strategies by Qinggan Fu, Ye Luo, Qianqian Yang, Ling Song

“…Abstract Ascon, a family of algorithms that supports hashing and authenticated encryption, is the winner of the NIST Lightweight Cryptography Project. …”
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Probability of Pulse Overlap as a Quantitative Indicator of Signal Environment Complexity by A. S. Podstrigaev, A. V. Smolyakov, I. V. Maslov

“…The principles of disturbances in the WBA receiver and algorithmic errors in the processing of overlapped signals are described. …”
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