Shear-driven solid-state additive manufacturing of aerospace aluminum on impurity contaminated surfaces by Xiaofeng Wu, Abhishek Rastogi, Nikhil Gotawala, Mark A. Pandol, Yunhui Zhu, Hang Z. Yu

“…We explore the environmental resilience of a next-generation solid-state additive process, additive friction stir deposition, highlighting its ability to print on surfaces contaminated by impurity particles. …”
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Revolutionizing Utility of Big Data Analytics in Personalized Cardiovascular Healthcare by Praneel Sharma, Pratyusha Sharma, Kamal Sharma, Vansh Varma, Vansh Patel, Jeel Sarvaiya, Jonsi Tavethia, Shubh Mehta, Anshul Bhadania, Ishan Patel, Komal Shah

“…The term “big data analytics (BDA)” defines the computational techniques to study complex datasets that are too large for common data processing software, encompassing techniques such as data mining (DM), machine learning (ML), and predictive analytics (PA) to find patterns, correlations, and insights in massive datasets. …”
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Electrospun Nanofibrous Membranes for Guided Bone Regeneration: Fabrication, Characterization, and Biocompatibility Evaluation—Toward Smart 2D Biomaterials by Julia Radwan-Pragłowska, Aleksandra Kopacz, Aleksandra Sierakowska-Byczek, Łukasz Janus, Piotr Radomski, Aleksander Radwan-Pragłowski

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Federated learning-based semantic segmentation framework for sustainable development by Deepthi Godavarthi, Deepa Jose, Sachi Nandan Mohanty, Mohamed Medani, Mohamed Kallel, Sherzod Abdullaev, M. Ijaz Khan

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Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-Dimensional Tokens by Vittorio Erba, Emanuele Troiani, Luca Biggio, Antoine Maillard, Lenka Zdeborová

“…Current progress in artificial intelligence is centered around so-called large language models that consist of neural networks processing long sequences of high-dimensional vectors called tokens. …”
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Privacy Protection of Digital Images Using Watermarking and QR Code-based Visual Cryptography by Akanksha Arora, Hitendra Garg, Shivendra Shivani

“…The original secret image is processed with a watermark image (copyright logo, signature, and so on), and then halftoning of the watermarked image has been done to limit pixel expansion. …”
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Bézier Cubics and Neural Network Agreement along a Moderate Geomagnetic Storm by Emre Eroglu, Mehmet Emir Koksal

“…In a sense, the comparison of a classical and mechanical approach with a modern and computer-based one is a considerable experience for the paper. …”
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Risk Assessment of Urban Water-Logging Disaster Based on Weight-improved AHP Method-Taking Haojiang District of Shantou City as an Example by ZHOU Jiaqi, LIN Kairong, XIE Xue, CHEN Haiyan, GAO Xin

“…Under the background of global climate change,the frequency of extreme rainfall events increases,and the urban water-logging disaster occurs frequently.The risk assessment of water-logging disaster can effectively reduce the loss.Taking Haojiang District of Shantou City as case study,this paper improves the weights of the analytic hierarchy process (AHP) by neural network,expands the traditional nine-point scaling,and constructs the water-logging disaster risk evaluation model.The results show that the water-logging disaster risk in Haojiang District is generally high in the south-central region and low in the northwest region.Especially,Yuxin Street,Binhai Street,Majiao Street and Dahao Street have higher risk values,which need to take preventive measures.After verification of evaluation results with historical data,it is shown that about 80% of historical flood disaster points are distributed in high-risk areas,which is consistent with the verification results of historical disaster points.The weight determination method of AHP is improved by neural network,the intermediate variables of the traditional nine-point method is expanded to three decimal places,and the weight is determined by the computer to reduce subjectivity to a certain extent.The results of risk assessment can provide technical support for flood warning and flood control scheduling within a certain time limit.…”
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New Approaches to Recycling Plastic E-Waste by Natalya A. Kulenova, Marzhan A. Sadenova, Andrey S. Babenko, Murat Yeleukenov, Nail A. Beisekenov, Viktor V. Chub

“…The article deals with the utilization of plastic waste generated after the disassembly of used fragments of computer equipment and household electronic devices. …”
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Myocardial Infarction And Ischemic Heart Disease In Patients With Acute Ischemic Stroke by Daniela Arabadzhieva, Zhaneta Georgieva, Ara Kaprelyan, Zdravko Slavov

“…The diagnosis of acute ischemic stroke was confirmed by Doppler sonography and computed tomography of the cerebral circulation. Data were statistically processed by variation and correlation analysis. …”
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Multidimensional State Data Reduction and Evaluation of College Students’ Mental Health Based on SVM by Han Peiqing

“…In response to the shortcomings of the traditional methods for evaluating the mental health status of college students in terms of computational complexity and low accuracy, a method for evaluating the mental health status of college students based on data reduction and support vector machines was proposed. …”
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Internet is Changing Cultures by Vladimir-Aurelian ENACHESCU, Donna TARABAY

“…Computer and internet are invading the world changing all cultures and affecting people behavior. …”
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Reputation and Energy-Aware Dynamic Hybrid Consensus (READ-HC) Model for IIoT by Sristi Mitra, Vaishnavi Santosh Sable, Danium Shahnowaz Syed

“…Private blockchains, with flexible rules and strong privacy, could therefore be deployed inside IIoT systems to address security concerns and process large volumes of data. Traditional consensus mechanisms in blockchain, such as PoW and PoS, are computationally demanding and energy-intensive and may not be suitable for resource-constrained IIoT scenarios. …”
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Examining validity in computerized dynamic assessment by Zaha Alonazi

“…Due to the scarcity of research on CDA, this paper explores the potentials and the viability of this intervention-based assessment in computer assisted language testing context in light of its conformity with Messick’s unitary view of validity. …”
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In situ observation of rolling contact fatigue cracks by laminography using ultrabright synchrotron radiation by Y. Nakai, D. Shiozawa, S. Kikuchi, K. Sato, T. Obama

“…In the present study, synchrotron radiation computed laminography (SRCL) imaging was performed to observe flaking defects during the RCF of a high-strength steel. …”
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Enhanced YOLOv8-based pavement crack detection: A high-precision approach. by ZuXuan Zhang, HongLi Zhang, TongJia Zhang

“…Secondly, GSConv is used in the neck part to reduce computation and enhance feature representation, especially in the processing of multi-scale fracture features. …”
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Pixel-Based Machine Learning in Medical Imaging by Kenji Suzuki

“…Machine learning (ML) plays an important role in the medical imaging field, including medical image analysis and computer-aided diagnosis, because objects such as lesions and organs may not be represented accurately by a simple equation; thus, medical pattern recognition essentially require “learning from examples.” …”
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One-Shot Segmentation of Battery Cells with Gradual Learning by Johann Christopher Engster, Nele Blum, Laura Hellwege, Thorsten M. Buzug, Maik Stille

“…One aspect is the visualization of inner structures, which can be achieved by computed tomography (CT) as a non-destructive testing (NDT) method. …”
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Visual Planarization in Oil Painting Techniques in Digital Information Age by Yiping Zhang

“…The purpose of this paper is to realize the research on the visual planarization of oil painting techniques in the digital information environment to promote the ecological development of the computer and art field. By using the advanced methods and technologies of its information display, this paper proposed the use of image processing algorithms in the digital information age to guide the integration of digital information technology and oil painting techniques. …”
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Problems of Distance Learning in EU Countries During the COVID-19 Pandemic by Alexander I. Egorov

“…Each EU member state was forced to transform its education policy, trying not only to reduce the risks of infection during professional contacts between teachers and students, but also to ensure the maintenance of the necessary quality of the educational process. The ambiguous influence of distance learning on the level of academic achievement of students in various EU countries is shown. …”
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