A Nonlinear Suspension Road Roughness Recognition Method Based on NARX-PASCKF by Jiahao Qian, Yinong Li, Ling Zheng, Huan Wu, Yanlin Jin, Linhong Yu

“…This paper proposes a hybrid road roughness identification algorithm based on nonlinear auto-regressive with exogenous inputs (NARX) and a process noise adaptive square root cubature Kalman filter (PASCKF) to address this issue. …”
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Design of Maximally Permissive Controllers for Solving Deadlock Problems in Flexible Manufacturing Systems by Yen-Liang Pan, Wen-Yi Chuang, Kuang-Hsiung Tan, Ching-Yun Tseng

“…Industry 5.0 aims to integrate humans and machines to achieve greater productivity, personalization, and sustainable development in the production process. Built on the foundation of Industry 4.0 which emphasizes automation, digitalization, and intelligent production processes, Industry 5.0 highlights the importance of human resources in modern manufacturing. …”
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Machine Learning-Based Strategy for the Regulated Charging of Plug-In Electric Vehicles by Ali Najem Alkawaz, Ahmed Naji Zaidan, Muhamad Faizal Yaakub

“…In addition to increasing higher charging prices and perhaps causing infrastructure stress, random charging could place further strain on the distribution network. To cope with this issue, this paper proposes a controlled charging approach with centralized control architecture to regulate and schedule the charging process of PEVs powered by machine learning techniques such as neural networks and Naive Bayes, to minimize charging costs. …”
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A Security Monitoring Method Based on Autonomic Computing for the Cloud Platform by Jingjie Zhang, Qingtao Wu, Ruijuan Zheng, Junlong Zhu, Mingchuan Zhang, Ruoshui Liu

“…Therefore, we must attach weight to the issue of how to protect the data stored in the cloud. …”
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Development of Tools, Instrumentation and Codes for Improving Periodic Examination and Repair of SFRs by François Baqué, Frédéric Reverdy, Jean-Michel Augem, Julien Sibilo

“…In the frame of the CEA, EDF, and AREVA coordinated research program launched in 2007 for the development of Generation IV sodium-cooled fast reactors (SFRs), the improvement of in-service inspection and repair (ISI&R) capabilities was identified as a major issue. Within the French-associated multiannual SFR research program, the periodic examination and repair are looked at through the following main R&D axes: (i) improvement of the primary system conceptual design in order to ease periodic examination and repair, (ii) development of inspection techniques (periodic inspection tools and associated simulation), (iii) accessibility and associated robotics, and (iv) development and validation of repair processes. …”
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Integrated Model-Based Engineering using Deep Learning with IIoT for Industry 4.0 by P. Senthilkumar, K. Rajesh

“…The RNN-MBE, which optimizes the entire process, is responsible for optimizing the process and reducing industry costs. …”
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A Novel CNN-Based Framework for Detection and Classification of Power Quality Disturbances: Exploring Multi-Class Versus Multi-Label Classification by Aleksandra Zlatkova, Dimitar Taskovski

“…The detection and classification of power quality (PQ) disturbances remains a significant challenge because of the rapid integration of renewable energy sources (RES), widespread use of power electronics, and increasing prevalence of sensitive microcontrollers. These evolving PQ issues necessitate the development of accurate and reliable methods for identifying and classifying PQ disturbances. …”
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Towards Analysis of Covariance Descriptors via Bures–Wasserstein Distance by Huajun Huang, Yuexin Li, Shu-Chin Lin, Yuyan Yi, Jingyi Zheng

“…In this paper, we tackle these issues by introducing the Bures–Wasserstein (BW) distance for covariance matrices analysis and demonstrating its advantages in BCI applications. …”
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Blockchain Solutions for International Logistics Networks along the New Silk Road between Europe and Asia by Bernard Aritua, Clemens Wagener, Norbert Wagener, Michał Adamczak

“…These responses provide insight into the issues related to the adoption of blockchain technology from front-line actors. …”
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Failure Mechanism and Effect of Nozzle Parameters on Abrasive Water Jet Rock Breaking by Jialiang Liu, Yujie Zhu, Shujian Du

“…To solve the abovementioned issues, it is necessary to study the failure mechanism of rock impacted by AWJ and nozzle parameter effects on rock fragmentation. …”
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AI-Powered Innovations in Food Safety from Farm to Fork by Binfeng Yin, Gang Tan, Rashid Muhammad, Jun Liu, Junjie Bi

“…Secondly, during food processing, sensors combined with machine learning algorithms are utilized to ensure regulatory compliance and monitor production parameters. …”
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A Novel Low-Rank Embedded Latent Multi-View Subspace Clustering Approach by Sen Wang, Lian Chen, Zhijian Liang, Qingyang Liu

“…Noises and outliers often degrade the final prediction performance in practical data processing. Multi-view learning by integrating complementary information across heterogeneous modalities has become one of the core techniques in the field of machine learning. …”
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Evaluation and Application of Machine Learning Techniques for Quality Improvement in Metal Product Manufacturing by Katarzyna Antosz, Lucia Knapčíková, Jozef Husár

“…This article proposes that optimising key process parameters, such as temperature, machining speed, and the type of coolant used, can markedly reduce the prevalence of production defects. …”
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Development of Automatic Inspection and Optimization Platform for Computer Numerical Control Machining Using Automatic Optical Inspection and Artificial Intelligence by Qi-Ren Lin, Bo-Cing Hu, Liang-Yin Kuo, Ting-Yi Shen

“…The system addresses quality control issues in CNC machining using image processing, machine learning, and G-code analysis techniques. …”
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Synthetic GPR datasets to evaluate hybridization inverse approach for pavement tack coat characterization—Geometrical and physical parametric studyDataverse by Grégory Andreoli, Amine Ihamouten, Xavier Dérobert

“…The quality of the bond between the wearing course and the binder course is a key factor in limiting issues such as delamination, stripping, etc. The use of non-destructive testing (NDT) methods, such as electromagnetic wave propagation combined with a hybrid data processing approach—machine learning and Full-Waveform Inversion—has recently demonstrated its effectiveness [1]. …”
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Water-holding and water-holding capacity of meat and methods of its determination by L. S. Kudryashov, O. A. Kudryashova

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Study on the impact of environmental awareness, health consciousness, and individual basic conditions on the consumption intention of green furniture by Haisheng Liang, Zhihui Wu, Shuangjiao Du

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Determining Appropriate Strategy for Managing the Energy Production System in the Presence of Renewable Energy Sources and Improved Intelligence Method by Amir Sohel, Md Faisal Bin Ashab

“…The presented method is carried out for IEEE 24 busbar network and the combined particle swarm optimization and gravitation search algorithm optimization process, which includes two method for optimization process.…”
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Media Dualism in Indonesia's Coverage of the Sexual Violence Bill by Nanang Krisdinanto, Merlina Maria Barbara Apul, Theresia Intan Hartiana

“…The objective of this study is to see examine these two media categories frame the protracted struggle in the legislative process of the TPKS Bill, given that framing reflects the media's perspective, which subsequently influence the audience's understanding of the issue. …”
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Life Cycle Assessment (LCA) in Environmental Impact Assessment (EIA): principles and practical implications for industrial projects by Rybaczewska-Blażejowska Magdalena, Palekhov Dmitry

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