FORMALIZATION OF THE STAGE OF SEARCHING FOR MODULATED SIDE ELECTROMAGNETIC RADIATIONS AND INTERFERENCES IN THE PROCESS OF MODELING THE FUNCTION OF INTERCEPTING THESE SIGNALS by Aleksey A. Petlevanny, Tatyana V. Meshcheryakova, Aleksandr I. Boronenkov, Vadim I. Spivak, Varvara A. Vladychenskaia

“…The purpose of the article is to dealing with the issues of formalizing the process of unauthorized receipt of computer information by intercepting informative signals of electromagnetic side effects of basic technical means and systems by technical means of intelligence, as well as removing informative signals of interferences on conductive lines of basic technical means and systems by technical means of intelligence. …”
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Durability Comparison of SKD61 and FDAC Steel Mold Inserts in High-Pressure Die-Casting Process by Hai Nguyen Le Dang, Van-Thuc Nguyen, Van Huong Hoang, Xuan Tien Vo, Van Thanh Tien Nguyen

“…However, this process subjects the mold to thermal fatigue and mechanical stress, which can lead to damage over time. …”
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Natural language processing for kidney ultrasound analysis: correlating imaging reports with chronic kidney disease diagnosis by Chenlu Wang, Ritwik Banerjee, Harry Kuperstein, Hamza Malick, Ruqiyya Bano, Robin L. Cunningham, Hira Tahir, Priyal Sakhuja, Janos Hajagos, Farrukh M. Koraishy

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A new analytical model for process-microstructure-hardness relationships of directed energy deposited nickel alloys by Jiale Wang, Bo Yin, Kai Qin, Haohao Miao, Yu Yin, Petro Pavlenko, Yuefeng Yuan, Jinbao Wang, David Henry StJohn, Zhao Zhang, Hao Yi

“…However, existing numerical models are associated with high computational costs and lengthy processing times, while data-driven models frequently lack interpretability, with their predictive accuracy dependent on the quantity and quality of training data. …”
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A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing by Zhi-Yu Yang, Wan-Ke Xia, Hao-Qi Chu, Wen-Hao Su, Rui-Feng Wang, Haihua Wang

“…Traditional technologies such as spectral imaging and machine learning improved cotton cultivation and processing, yet their performance often falls short in complex agricultural environments. …”
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CARD8 and NLRP1 undergo autoproteolytic processing through a ZU5-like domain. by Andrea D'Osualdo, Christian X Weichenberger, Roland N Wagner, Adam Godzik, John Wooley, John C Reed

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Multimodal deep learning for enhanced temperature prediction with uncertainty quantification in directed energy deposition (DED) process by Adrian Matias Chung Baek, Taehwan Kim, Minkyu Seong, Seungjae Lee, Hogyeong Kang, Eunju Park, Im Doo Jung, Namhun Kim

“…This work proposes a novel multimodal deep learning approach for temperature prediction with uncertainty quantification in directed energy deposition (DED) process. The proposed methodology implements multimodal data fusion, combining reproduced grayscale images of deposition strategy with numerical process variables, including process parameters, geometrical features, and printing process status. …”
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Study on the loss of ductility of the API 5L grade b steel using the isothermal aging process by Julio César Velázquez, Manuela Diaz-Cruz, Noé Eliseo González-Arévalo, Ulises Oswaldo Solis, Arturo Cervantes-Tobón, Selene Capula-Colindres, Roman Cabrera-Sierra

“…These pipelines tend to be in service for very long timespans, thus undergoing an aging process. In the literature, it has been found that the natural aging process tends to decrease the ductility in the pipeline steel. …”
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Intelligent Crack Detection and Quantification in the Concrete Bridge: A Deep Learning-Assisted Image Processing Approach by Licun Yu, Shuanhai He, Xiaosong Liu, Shuqing Jiang, Shuiying Xiang

“…Then, the image covered by the bounding box is processed by the image processing techniques. Compared with the conventional image processing-based crack detection method, the deep learning-assisted image processing approach leads to higher detection accuracy and lower computation cost. …”
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Efficient processing of side-scan sonar images and fast detection of sparse targets in large-scale images by Xi Zhao, Qiangqiang Yuan, Jiadan Xu

“…Especially when conducting real-time processing tasks, accuracy and speed are required to be optimized with limited computational resources. …”
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Gain efficiency with streamlined and automated data processing: Examples from high-throughput monoclonal antibody production. by Malwina Kotowicz, Magdalena Shumanska, Sven Fengler, Birgit Kurkowsky, Anja Meyer-Berhorn, Elisa Moretti, Josephine Blersch, Gisela Schmidt, Jakob Kreye, Scott van Hoof, Elisa Sánchez-Sendín, S Momsen Reincke, Lars Krüger, Harald Prüß, Philip Denner, Eugenio Fava, Dominik Stappert

“…Thus, managing heterogeneous biological data calls for efficient and tailored systems, especially in laboratories run by biologists with limited computational expertise. Here, we showcase how to meet these challenges with a modular pipeline for data processing, facilitating the complex production of monoclonal antibodies from single B-cells. …”
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Integrating Optical Draw-In Measurements with Finite Element Analysis for Enhanced Process Insights in Sheet Metal Forming by Chezan Toni, Dhawale Trunal, Pilthammar Johan, Barlo Alexander, Aeddula Omsri

“…A dedicated optical system was employed to capture sequential images of the blank edge, which were calibrated and processed using computer vision techniques to extract precise draw-in values at predefined locations. …”
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Cost-benefit tradeoff mediates the transition from rule-based to memory-based processing during practice. by Guochun Yang, Jiefeng Jiang

“…Practice not only improves task performance but also changes task execution from rule- to memory-based processing by incorporating experiences from practice. …”
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Numerical Optimization of Laser Powder Bed Fusion Process Parameters for High-Precision Manufacturing of Pure Molybdenum by İnayet Burcu Toprak, Nafel Dogdu, Metin Uymaz Salamci

“…The powder spreading behavior is simulated using the Discrete Element Method (DEM), while molten pool dynamics are analyzed through Computational Fluid Dynamics (CFD). Optimization of process parameters is performed using FLOW-3D Release 7 software in conjunction with the HEEDS-SHERPA algorithm. …”
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A Process for Measuring Lip Kinematics Using Participants’ Webcams during Linguistic Experiments Conducted Online by Erik Hunt, Peter A. Krause, Ryan James Pili

“…This extension gathers data from the participant’s webcam and processes them through FaceMesh, an open-source, JavaScript face-tracker. …”
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Cloud-edge Collaborative Data Processing Method for Intelligent Operation and Maintenance of Power Grid Production Equipment by LI Yadan, CHEN Xiaofeng, HUANG Xiaoming, ZHANG Sunxuan

“…The weighted sum of the data processing delay and the data queue backlog under the proposed algorithm can be effectively reduced in the edge server burst computation task and large-scale device access scenarios. …”
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Privacy-Preserving Process Mining: A Blockchain-Based Privacy-Aware Reversible Shared Image Approach by Xianwen Fang, Mengyao Li

“…It performs better in event data privacy protection and process mining fitness and precision. The proposed method ensures the secure flow of cross-organizational information in the Industrial Internet and provides a novel privacy-secure computational approach for the growing Artificial Intelligence.…”
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The Integration of AI into the Nursing Process: A Comparative Analysis of NANDA, NOC, and NIC-Based Care Plans by Ester Gilart, Anna Bocchino, Patricia Gilart-Cantizano, Eva Manuela Cotobal-Calvo, Isabel Lepiani-Diaz, Daniel Román-Sánchez, José Luis Palazón-Fernández

“…<b>Background/Objectives</b>: Nursing diagnosis is a complex process that requires clinical judgment, time, and resources and whose implementation is hindered by factors such as workload, lack of time, and resistance to computerized systems. …”
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A Comparative Study of the Implementation of 4G and 5G Networks in IIoT Process Automation Systems by Awang Noor Indra Wardana, Iqbal Aliandra Putra, Fawwaz Afif Muhammad

“…The industrial internet-of-things (IIoT) has recently become an important requirement in the process industry. The factories must be able to integrate process automation devices such as programmable logic controllers and industrial computers with mobile devices, especially to support their maintenance and operations. …”
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Defining the Criteria for Selecting the Right Extended Reality Systems in Healthcare Using Fuzzy Analytic Network Process by Ali Kamali Mohammadzadeh, Maryam Eghbalizarch, Roohollah Jahanmahin, Sara Masoud

“…Subsequently, the factors are categorized into distinct categories, and their relative importance is specified by Analytic Network Process (ANP) models under a fuzzy environment. Two fuzzy approaches for the ANP models are compared, and the results are analyzed using statistical testing. …”
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