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3781
Improving Super-Resolution in Face Images by Modeling Image Degradation Using Pairs of High-Quality and Low-Quality Images
Published 2025-01-01“…<p><span style="font-size: 10.0pt; line-height: 125%; font-family: 'Georgia',serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Georgia; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: JA; mso-bidi-language: AR-SA;"> </span><span style="font-size: 11pt; line-height: 125%; font-family: Calibri, sans-serif;">Improving image quality for identification and authentication in security and surveillance systems is of particular importance, and today, using artificial intelligence, the quality of images can be significantly improved. …”
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3782
GETTING SUPPORT FROM MICROSOFT COPILOT IN LESSON PLAN PREPARATION: PRE-SERVICE TEACHERS’ EXPERIENCES AND OPINIONS
Published 2024-12-01“…However, research shows that pre-service teachers have problems in lesson planning. Artificial intelligence can produce solutions to the problems experienced by pre-service teachers. …”
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3783
Modeling Behaviors for a New Compliant Mechanism by Recursive Hierarchy of Random Forest Models
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3784
Reinforcement of Nanocellulose as Green Agent in the Electronic Applications Associated with the Composites of Polymer Matrix
Published 2023-01-01“…The stretchable electronic systems and instruments are awaiting the maximal attention due to its essential applications in certain domains, such as robotics artificial intelligence, brain control and machine interface, clinical devices, and health care electronic monitoring devices. …”
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3785
Study of machine learning techniques for outcome assessment of leptospirosis patients
Published 2024-06-01“…The contribution of this article is the confirmation that artificial intelligence, using the Decision Tree model algorithm, depicting the best choice as the final model to be used in future data for the prediction of human leptospirosis cases, helping in the diagnosis and course of the disease, aiming to avoid the evolution to death.…”
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3786
Harnessing quantum power: Revolutionizing materials design through advanced quantum computation
Published 2024-12-01“…The review also highlights advanced active learning strategies that integrate quantum artificial intelligence, offering a more efficient pathway to explore the vast, complex material design space. …”
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3787
A Virtual Reality Platform for Safety Training in Coal Mines with AI and Cloud Computing
Published 2020-01-01“…Furthermore, game artificial intelligence (AI) is also introduced into the system to increase the emotional exchange between the system and users. …”
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3788
The politics of digital sovereignty and the European Union’s legislation: navigating crises
Published 2025-02-01“…The European Union’s legislative initiatives, including the Digital Services (DSA), Digital Markets (DMA) and European Media Freedom (EMFA) regulations, as well as the efforts to regulate artificial intelligence, are designed to address the crises inherent in the digital age, while at the same time posing new challenges to the sovereignty and perception of sovereignty of individual states. …”
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3789
fNIRS Classification of Adults With ADHD Enhanced by Feature Selection
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3790
Artificial Neural Network-Based System for PET Volume Segmentation
Published 2010-01-01“…Many techniques have been proposed for segmenting medical imaging data; however, some of the approaches have poor performance, large inaccuracy, and require substantial computation time for analysing large medical volumes. Artificial intelligence (AI) approaches can provide improved accuracy and save decent amount of time. …”
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3792
Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis
Published 2023-01-01“…Artificial intelligence (AI) has evolved into a powerful tool that has wide-spread application in computer vision such as computer-aided inspection, industrial control systems, and navigation of robots. …”
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3793
Digital maturity of the Russian metallurgical industry: drivers and challenges of growth in new geopolitical conditions. Part II. Key directions of digital transformation
Published 2024-02-01“…The key areas of digital transformation are digital twins, machine vision and artificial intelligence, the creation of metal products and secondary raw materials marketplaces, which corresponds to the global digitalization trend. …”
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3794
Biogas Production Optimization in the Anaerobic Codigestion Process: A Critical Review on Process Parameters Modeling and Simulation Tools
Published 2024-01-01“…This review article focuses on the role of process parameters, kinetic models, artificial intelligence, Aspen Plus (AP), and anaerobic digestion model no. 1 (ADM1) in optimizing biogas yield via an anaerobic codigestion (AcoD) process. …”
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3795
Identifying the Aesthetic Criteria of Academic Library Websites Using a Delphi Panel
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3796
Prognostic and Predictive Values of Metabolic Parameters of F-FDG PET/CT in Patients With Non-Small Cell Lung Cancer Treated With Chemotherapy
Published 2019-05-01“…Objectives: Increasing interests have been focused on using artificial intelligence (AI) to extend prognostic value of medical imaging. …”
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3797
Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture
Published 2025-01-01“…Deepfake detection has become a critical research topic in both academic and practical domains, as it involves identifying forged elements in artificially generated videos using various deep learning and artificial intelligence techniques. In this dissertation, an innovative model was developed for detecting deepfake videos by combining the Quantum Transfer Learning (QTL) and Class-Attention Vision Transformer (CaiT) architectures. …”
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3798
AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctors
Published 2025-03-01“…People often have anxiety toward artificial intelligence (AI) due to lack of transparency about its operation. …”
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Robust kernel extreme learning machines for postgraduate learning performance prediction
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