A systematic survey: role of deep learning-based image anomaly detection in industrial inspection contexts by Vinita Shukla, Amit Shukla, Surya Prakash S. K., Shraddha Shukla

“…To advance intelligent manufacturing, sophisticated methods for high-quality process inspection are indispensable. This paper presents a systematic review of existing deep learning methodologies specifically designed for image anomaly detection in the context of industrial manufacturing. …”
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Disassembly of Distribution Transformers Based on Multimodal Data Recognition and Collaborative Processing by Li Wang, Feng Chen, Yujia Hu, Zhiyao Zheng, Kexin Zhang

“…This paper presents a transformer disassembly system designed for power systems, leveraging multimodal perception and collaborative processing. By integrating 2D images and 3D point cloud data captured by RGB-D cameras, the system enables the precise recognition and efficient disassembly of transformer covers and internal components through multimodal data fusion, deep learning models, and control technologies. …”
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Dataset Generation Process for Enhancing Depth Estimation Network in Autonomous Driving by Jinsu Ha, Kichun Jo

“…This paper introduces a novel dataset generation process that uses Light Detection and Ranging (LiDAR) mapping to enhance the quality of depth datasets. …”
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Pupillometry: A Simple and Automatic Way to Explore Implicit Cognitive Processing by Tian Yuan, Li Wang, Yi Jiang

“…We believe this protocol could be adapted to unveil the automatic processing of emotions and other attributes in social signals and further assist the early detection of social-cognitive disorders (e.g., autism).…”
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Techniques for Accelerometer Reading Processing on Railway Transport Using Wavelet Transform by A. M. Boronakhin, A. V. Bolshakova, D.  M. Klionskiy, D. Yu. Larionov, R. V. Shalymov

“…These methods provide for time-frequency localization for irregularity detection and measurement.Results. Algorithms for vibrational signal processing using the continuous and discrete-time wavelet transform are proposed. …”
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Heat Transfer Process of HVDC Submarine Cables under Transient Load by Zhengbo LIANG, Lijun LI, Chao PENG, Mingzhong XU, Weijia ZHAO, Lei WANG

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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The machine learning algorithms can handle high-dimensional nonlinear data with complex interactions, outperform traditional statistical models in ecology, and have been effectively used for plant classification, phenology detection, crop growth detection, and yield prediction. …”
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Incorporation of doxorubicin into plant-derived nanovesicles: process monitoring and activity assessment by Aleksandra Steć, Monika Targońska, Shishir Jaikishan, Rui Chen, Piotr Mucha, Grzegorz S. Czyrski, Jacek Jasiecki, Agata Płoska, Andrea Heinz, Susanne K. Wiedmer, Leszek Kalinowski, Krzysztof Waleron, Bartosz Wielgomas, Szymon Dziomba

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ACTIVITY OF NITRO-OXIDATIVE PROCESSES IN PREGNANT WOMEN WITH IDIOPATHIC ARTERIAL HYPOTENSION by Leonid Markin, Olena Popovych, Alla Popovych

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GATEKEEPER Platform: Secure Processing Environment for European Health Data Space by Eugenio Gaeta, Muhammad Salman Haleem, Laura Lopez-Perez, Mirko Manea, Maria Fernanda Cabrera Umpierrez, Maria Teresa Arredondo Waldmeyer, Leandro Pecchia, Giuseppe Fico

“…However, there are certain challenges associated with compliance to EHDS, such as secure continuous integration (CI) and continuous delivery (CD), scalability and adaptability towards new technologies and applications, tolerance against IoT cyber-attacks, requirement of advanced data storage methods, processing power, interoperability solutions for data analysis and connectivity. …”
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Modeling and Evaluation of Penetration Process Based on 3D Mechanical Simulation by Xiaohan Chen, Huiying Gong, Bin Yang, Zengshuo Wang, Yaowei Liu, Lu Zhou, Xin Zhao, Mingzhu Sun

“…Initially, a finite element model (FEM) is established to simulate the cell penetration process. The effectiveness of the model is then verified through visual detection and comparison of cell deformation with experimental data. …”
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Receiver Processing of the Multibeam Azimuth Scanning CC-OFDM-MIMO Radar by Devy Kuswidiastuti, L. P. Ligthart, Gamantyo Hendrantoro, Titiek Suryani, Prasetiyono Hari Mukti, Yuyu Wahyu

“…The coherence processing for Doppler detection can be done over one period of symbol, and the Doppler resolution can be improved by coherence processing over one frame period consisting of 12 orthogonal symbols. …”
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Optimization of the extraction process and combined determination of antibacterial ingredients of Li Peng by LIU Shuping, WANG Lei

“…Using Lichrospher C₁₈ column (150 mm × 4.6 mm,5 μm), methanol-0.1% phosphoric acid solution as the mobile phase, the flow rate of 1 mL/min, the detection wavelength at 280 nm, column temperature of 30℃ with the gradient elution program, the gallic acid, protocatechuic acid, and quercetin content in Li Peng could be better determined. …”
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Improving the Incident Management Process Based on a Use Case Approach by A. A. Mikryukov, A. V. Kuular

“…The purpose of the study is to improve the incident management process. The article considers the process approach to incident management in case of technical failures and its main stages: detection, response, investigation, elimination, resolution. …”
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Enhancing Online Security: A Novel Machine Learning Framework for Robust Detection of Known and Unknown Malicious URLs by Shiyun Li, Omar Dib

“…The resulting malicious URL detection system (MUDS) combines supervised machine learning techniques, tree-based algorithms, and advanced data preprocessing, achieving a high detection accuracy of 96.83% for known MURLs. …”
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SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

“…To overcome these limitations, this paper proposes a novel network called the Spatial Flow-based Semantic Change Detection Network. This network processes bi-temporal satellite images using a dual-encoder, triple-decoder architecture that progressively refines spatial features at each network stage, improving semantic change detection results. …”
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Distribution and processing characteristics of two acylated flavonol glycosides in Camellia sinensis by HUANG Yanmei, ZHOU Feifei, LUO Limin, HUANG Haitao, GE Zhiwei, YANG Jiangfan, TU Youying, WU Yuanyuan

“…The effect of light on the contents of F₁ and F₂, and the dynamic changes in the processing stages of oolong tea were also studied. The results showed that F₁ was mainly distributed in tea leaves and stems, and F₂ was only present in leaves; neither F₁ nor F₂ was detected in the roots. …”
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ADAPTIVE MATHEMATICAL MODEL OF THERMAL PROCESSES IN A COSINE POWER CAPACITOR by D. I. Zalizny, O. G. Shirokov, G. O. Shirokov, A. A. Kapanskiy

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Molecular Investigation of the Impact of Thermal Processing Techniques on Tropomyosin Crustacean Allergens by Elif Tuğçe Aksun Tümerkan

“…This study shows that investigating the allergen coding gene might provide a viable way for detecting food-borne allergens in other thermally processed food items, which are becoming more concerned about food safety.…”
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Assessment of resistance spot welding process quality using modal analysis by Janusz Pikuła, Zygmunt Mikno, Marek Fidali, Szymon Kowieski, Szymon Zymełka

“…This article presents the study results of the possibility of applying modal analysis in the quality examination of welded parts by detecting the missing weld. It was aimed to determine this kind welding process imperfections influence on modal shapes and frequencies by the study of the dynamic properties of welded elements in the frequency domain. …”
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