Multi-objective optimization of the heating oil circuit inside the calendering roller for the lithium battery pole piece by Shuangqiu Sun, Junqiang Wang, Rongying Zhang, Zhenchao Si, Zhijie Yang

“…A fluid–thermal–structural coupling flowchart based on the numerical modeling for the calendering roller temperature distribution is created to automate the analysis processes in the optimization iteration. …”
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Rapid diffused optical imaging for accurate 3D estimation of subcutaneous tissue features by Shanshan Cai, John Mai, Winn Hong, Scott E. Fraser, Francesco Cutrale

“…We present 3D-multisite diffused optical imaging (3D-mDOI) an approach that combines photon migration techniques from diffuse optical tomography, with automated controls and image analysis techniques for estimating lesion’s depth via its optical coefficients. 3D-mDOI is a non-invasive, low-cost, fast, and contact-free instrument capable of estimating subcutaneous tissue structures volumes through multisite-acquisition of re-emitted light diffusion on the sample surface. …”
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Work Roles in Human–Robot Collaborative Systems: Effects on Cognitive Ergonomics for the Manufacturing Industry by Pablo Segura, Odette Lobato-Calleros, Isidro Soria-Arguello, Eduardo Gamaliel Hernández-Martínez

“…However, the roles and responsibilities of human operators in these semi-automated systems have not been properly analyzed. …”
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Inverse design of promising electrocatalysts for CO2 reduction via generative models and bird swarm algorithm by Zhilong Song, Linfeng Fan, Shuaihua Lu, Chongyi Ling, Qionghua Zhou, Jinlan Wang

“…This work highlights the potential of MAGECS to revolutionize functional material development, paving the way for fully automated, artificial intelligence-driven material design.…”
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Development of a Relationship between Pavement Condition Index and International Roughness Index in Rural Road Network by Sasan Adeli, Vahid Najafi moghaddam Gilani, Mohammad Kashani Novin, Ehsan Motesharei, Reza Salehfard

“…Road surface images and roughness linear profiles were collected using an automated car to calculate PCI and IRI, respectively. …”
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Gait Impairment in a Rat Model of Focal Cerebral Ischemia by Saara Parkkinen, Francisco J. Ortega, Kristina Kuptsova, Joanna Huttunen, Ina Tarkka, Jukka Jolkkonen

“…The availability of proper tests for gait evaluation following cerebral ischemia in rats has been limited. The automated, quantitative CatWalk system, which was initially designed to measure gait in models of spinal cord injury, neuropathic pain, and peripheral nerve injury, is said to be a useful tool for the study of motor impairment in stroke animals. …”
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Reidentification of Persons Using Clothing Features in Real-Life Video by Guodong Zhang, Peilin Jiang, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita

“…Person reidentification, which aims to track people across nonoverlapping cameras, is a fundamental task in automated video processing. Moving people often appear differently when viewed from different nonoverlapping cameras because of differences in illumination, pose, and camera properties. …”
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Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition by Fei Yan, Zekai Guo, Abdullah M. Iliyasu, Kaoru Hirota

“…The proposed model provides automated extraction of relevant features from multimodal data and fusion of feature maps from diverse sources as modules for the subsequent emotion recognition. …”
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Information system for the management of scientific production of the University of Medical Sciences of Cienfuegos by Osmel Domingo Medina Martínez, Marle Pérez de Armas, Filiberto Toledo Álvarez, Anay Carrillo Ramos, Raúl Jesús Rosales González, José Antonio Trujillo Arteaga

“…<br /><strong>Results:</strong> the system allows the generation of online digital curricula of university professors from any health institution in the province, where their scientific work is highlighted, in addition to the automated calculation of indicators and absolute frequency values at the individual level, career and institution based mainly on parameters of the National Accreditation Board of the Ministry of Higher Education of Cuba. …”
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MRI Correlates of Parkinson’s Disease Progression: A Voxel Based Morphometry Study by Valentina Fioravanti, Francesca Benuzzi, Luca Codeluppi, Sara Contardi, Francesco Cavallieri, Paolo Nichelli, Franco Valzania

“…We investigated structural brain differences between a group of early-mild PD patients at different phases of the disease and healthy subjects using voxel-based morphometry (VBM). 20 mild PD patients compared to 15 healthy at baseline and after 2 years of follow-up. VBM is a fully automated technique, which allows the identification of regional differences in the gray matter enabling an objective analysis of the whole brain between groups of subjects. …”
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The Threat of Tomorrow: Impacts of Artificial Intelligence-Enhanced Cyber-attacks on International Relations by Esra Merve Çalışkan

“…Cyber-attack detection has become more automated, targeted, and challenging due to rapid advances in AI. …”
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Coaching 5.0, coaching for the fifth industrial revolution by Jazz Rasool

“…These have now started to provide affordances for automating provision of insight and empowerment in coaching business leaders and staff. …”
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Recherche d’indices lexicosyntaxiques de segmentation et de liage par une analyse automatique de corpus by Yves Bestgen

“…This study uses an automated corpus analysis technique to try to provide a complementary point of view to that of more qualitative studies of segmentation and linking indices, such as adverbial expressions, connectors and anaphora. …”
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Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data by Ahmad Hasasneh, Nikolas Kampel, Praveen Sripad, N. Jon Shah, Jürgen Dammers

“…The major advantages of the proposed method are as follows: (1) it is a fully automated and user independent workflow of artifact classification in MEG data; (2) once the model is trained there is no need for auxiliary signal recordings; (3) the flexibility in the model design and training allows for various modalities (MEG/EEG) and various sensor types.…”
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Architecture of distributed geoinformation technology for snow cover monitoring in circumstances of limited telecommunications accessibility by Yu. V. Belysheva, D. D. Sutyagin, E. S. Zimina

“…This work aims to develop an architecture of geoinformation technology for snow cover monitoring with the purpose of addressing the problem of automating the collection of snow cover indicators and their further maintenance. …”
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Spatial Information in Autonomous Modal Parameter Estimation by Randall J. Allemang, Allyn W. Phillips

“…While autonomous modal parameter estimation means slightly different things to different researchers and practitioners, for the purpose of this discussion, autonomous will require an automated procedure which sorts and processes a large number of possible modal parameter solutions to yield one consistent estimate with no user interaction after initial thresholds are chosen. …”
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Discovering Object Stories: Linking Unstructured Museum Data Through Semantic Annotation by Sarah Middle, Maria Aristeidou, Elton Barker, Daniel Pett, Sarah Alcock

“…A user evaluation with cultural heritage professionals revealed usability challenges and areas for improvement, with Recogito Studio receiving a UMUX score of 73.3 and recommendations include enhancing geo-tagging, incorporating Named Entity Recognition, and developing automated workflows for Linked Open Data production.…”
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Victim Verification with the Use of Deep Metric Learning in DVI System Supported by Mobile Application by Zbigniew Piotrowski, Marta Bistroń, Gabriel Jekateryńczuk, Paweł Kaczmarek, Dymitr Pietrow

“…The system partially automates photo comparisons by DVI teams, improving efficiency, reducing identification time, and limiting the exposure of operators to graphic images. …”
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MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency by Dechuan Kong, Dechuan Kong, Yandi Zhang, Xiaohu Zhao, Yanqiang Wang, Lei Cai

“…This leads to blurry images, severely hindering the performance of automated systems.MethodsWe propose MUFFNet, an underwater image enhancement network leveraging multi-scale frequency analysis to address the challenge. …”
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Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study by Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew F. Laine

“…This paper presents the implementation and quantitative evaluation of a multiphase three-dimensional deformable model in a level set framework for automated segmentation of brain MRIs. The segmentation algorithm performs an optimal partitioning of three-dimensional data based on homogeneity measures that naturally evolves to the extraction of different tissue types in the brain. …”
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