Decentralized Distributed Sequential Neural Networks Inference on Low-Power Microcontrollers in Wireless Sensor Networks: A Predictive Maintenance Case Study by Yernazar Bolat, Iain Murray, Yifei Ren, Nasim Ferdosian

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Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence by Yirong Zhou, Yanhuang Wu, Yuhan Su, Jing Li, Jianyu Cai, Yongfu You, Jianjun Zhou, Di Guo, Xiaobo Qu

“…Additionally, local data processing demands substantial manpower and hardware investments. …”
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SE-COLLAB: Achieving Fine-Grained and Efficiently Verifiable Searchable Encryption With Boolean Multi-Keyword Search for Collaborative IIoT Data Sharing by Somchart Fugkeaw, Jirakit Deevijit

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Federated Learning for Enhanced Cybersecurity and Trustworthiness in 5G and 6G Networks: A Comprehensive Survey by Afroditi Blika, Stefanos Palmos, George Doukas, Vangelis Lamprou, Sotiris Pelekis, Michael Kontoulis, Christos Ntanos, Dimitris Askounis

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Intelligent monitoring method for conveyor belt misalignment based on deep learning by ZUO Mingming, ZHANG Xi, YANG Zihao, SUN Qifei, ZHANG Mengchao, ZHANG Yuan, LI Hu

“…Experimental results demonstrated that the diagonal features of the predicted bounding box could stably and efficiently achieve conveyor belt edge recognition and misalignment quantification, thereby simplifying image data processing and annotation tasks. …”
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Hand gestures classification of sEMG signals based on BiLSTM-metaheuristic optimization and hybrid U-Net-MobileNetV2 encoder architecture by Khosro Rezaee, Safoura Farsi Khavari, Mojtaba Ansari, Fatemeh Zare, Mohammad Hossein Alizadeh Roknabadi

“…The MobileNetV2 encoder and U-Net architecture extract relevant features from sEMG spectrogram images. Edge computing integration is leveraged to further enhance innovation by enabling real-time processing and decision-making closer to the data source. …”
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Atmospheric mercury uptake to foliage using in situ and transplanted lichens at the New Almaden Mining District, California, United States by Peter Weiss-Penzias, Brittney Straw, Michelle Rothman, Belle Zheng, Mark Seelos, Edwin Rivas Meraz, Peggy A. O’Day

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DESIGN OF PROCESS OF THERMAL NON-DESTRUCTIVE CONTROL NON-METAL MULTI-LAYERED ELEMENTS OF GLIDER OF AIR SHIP by N. P. Zaets, O. N. Karpenko, V. S. Oleshko, I. A. Chizhov

“…In the article a mathematical design and model design of process of thermal control are considered for the exposure of removing layer by layer of filler from edging of multi-layered construction of air ship. …”
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Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning by Johannes Pauli, Maximilian Hoffmann, Ralph Bergmann

“…Similarity-based retrieval of semantic graphs is a crucial task of Process-Oriented Case-Based Reasoning (POCBR) that is usually complex and time-consuming, as it requires some kind of inexact graph matching. …”
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Effect of Processing-Induced Oxides on the Fatigue Life Variability of 6082 Al-Mg-Si Alloy Extruded Components by Viththagan Vivekanandam, Shubham Sanjay Joshi, Jaime Lazaro-Nebreda, Zhongyun Fan

“…Computer tomography (CT) also confirmed the presence of oxide inclusions on the fracture surface and near the edges of the samples. These oxide inclusions are distributed throughout the material heterogeneously and in the form of broken oxide films, suggesting that they might have originated during the material’s early processing stages. …”
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Computer simulation of microwave-assisted drying: Coupled influence of microwave power and pulse ratio on product and process characteristics by Jalal Dehghannya, Mahdi Habibi-Ghods

“…Shrinkage consideration is pivotal in modeling heat and mass transfer during drying processes. This study investigated the interactive effects of microwave power and pulse ratio on various properties of potato slices during drying. …”
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Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis by Nobuo Okui, Shigeo Horie

“…This study analyzed 57,000 Reddit comments from the GoEmotions dataset (2005–2019) using natural language processing and network analysis techniques grounded in discrete mathematical principles. …”
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Tectono‐Magmatic Processes of the Western Parece Vela Basin: Insights Derived From Seismic Imaging and Gravity Modeling by Changliang Chen, Pin Yan, Weidong Luo, Yufang Tan, Junhui Yu, Yanlin Wang, Xubo Zhang, Zhanying Chen, Wenkai Huang, Jiale Chen

“…However, the tectono‐magmatic processes responsible for the lateral geomorphologic variations remain enigmatic. …”
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Cutting Forces Simulation for End Milling by Petrakov Y. V., Ohrimenko O. A., Sikailo M. O., Myhovych A. V.

“…The cutting force in end milling is the essential perturbation of the machining system that limits the productivity of the process. Therefore, forecasting the cutting force when assigning the processing mode and the geometry of the allowance layer to be cut is an urgent task that requires an operational tool for its solution. …”
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Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process Case by Shitao Ge, Wei Zhang, Licheng Han, Yan Peng, Jianliang Sun

“…In the production process of cross-cutting boards, real-time measurement of dimensions online has been a long-standing technical problem in the production field. …”
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Research on Transient Characteristic of Stress Field of Friction Pair During Soft Start-up Process of Hydro-viscous Drive by Qiliang Wang, Hongwei Cui, Zisheng Lian, Long Li

“…The research results show that the thermal stress of the steel disc increases gradually during soft start-up process and reaches the maximum value at the end of the start-up process. …”
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Deep Learning Models for Image Classification Advances in Convolutional Neural Network Architectures by Kumar Pathak Prakash, M Srivani, M Diwakaran, R Purushothaman, Sheeba Adlin, R Ahila

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A multi-sensory approach for higher education business students: Using colour in the reading process to analyse academic writing by Susie Marriott

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Logical Synchrony Networks: A Formal Model for Deterministic Distribution by Logan Kenwright, Partha Roop, Nathan Allen, Sanjay Lall, Calin Cascaval, Tammo Spalink, Martin Izzard

“…LSNs describes a network of processes modelled as a graph, with edges representing invariant logical delays between a producer process and the corresponding consumer process. …”
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Enhanced dynamo drive for the sawtooth relaxation process due to non-uniform resistivity distribution in a reversed field pinch by Wentan Yan, Ping Zhu, Hong Li, Wandong Liu, Bing Luo, Haolong Li

“…The simulation employs a non-uniform resistivity profile similar to experiments, which monotonically increases from the core to the edge as the temperature decreases. The resistivity inhomogeneity introduces an additional electric field in the plasma, which accelerates the inward diffusion of magnetic flux and changing the self sustained reversal state, hence significantly enhances the dynamo effect and the sawtooth process in the RFP plasma.…”
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