GETTING SUPPORT FROM MICROSOFT COPILOT IN LESSON PLAN PREPARATION: PRE-SERVICE TEACHERS’ EXPERIENCES AND OPINIONS by Serpil Özdemir

“…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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Reinforcement of Nanocellulose as Green Agent in the Electronic Applications Associated with the Composites of Polymer Matrix by Manjunathan Alagarsamy, S. R. Barkunan, N. Jayapal, A. Murugan, P. Muralikrishnan, Perumalla Janaki Ramulu

“…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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A Virtual Reality Platform for Safety Training in Coal Mines with AI and Cloud Computing by Mei Li, Zhenming Sun, Zhan Jiang, Zheng Tan, Jinchuan Chen

“…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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The politics of digital sovereignty and the European Union’s legislation: navigating crises by Gábor Hulkó, János Kálmán, András Lapsánszky

“…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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Artificial Neural Network-Based System for PET Volume Segmentation by Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, Habib Zaidi

“…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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Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…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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Digital maturity of the Russian metallurgical industry: drivers and challenges of growth in new geopolitical conditions. Part II. Key directions of digital transformation by I. S. Prokhorova, V. S. Ustinov, A. V. Elkhova

“…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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Biogas Production Optimization in the Anaerobic Codigestion Process: A Critical Review on Process Parameters Modeling and Simulation Tools by Mohammed Kelif Ibro, Venkata Ramayya Ancha, Dejene Beyene Lemma

“…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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Identifying the Aesthetic Criteria of Academic Library Websites Using a Delphi Panel by Maryam Tavosi, Nader Naghshineh, Mohammad Zerehsaz, Siamak Mahboub

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Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture by Bekir Eray Katı, Ecir Uğur Küçüksille, Güncel Sarıman

“…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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AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctors by Hyun Yang, S. Shyam Sundar

“…People often have anxiety toward artificial intelligence (AI) due to lack of transparency about its operation. …”
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Digital Sovereignty in times of AI: between perils of hegemonic agendas and possibilities of alternative approaches by Alexandre Costa-Barbosa, Bianca Herlo, Gesche Joost

“…The current technological frontier is artificial intelligence (AI). Hence, digital sovereignty agendas now encompass the complexities introduced by AI. …”
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Software requirement selection using a combined multi‐objective optimisation technique by Wathiq H. Dukhan, Marghny H. Mohamed, Ali A. Amer, Elnomery Allam Zanaty, Omar Reyad

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EEG analysis of speaking and quiet states during different emotional music stimuli by Xianwei Lin, Xinyue Wu, Zefeng Wang, Zhengting Cai, Zihan Zhang, Guangdong Xie, Lianxin Hu, Laurent Peyrodie

“…Given the close relationship between music and language, researchers have begun to explore how music influences brain activity and cognitive processes by integrating artificial intelligence with advancements in neuroscience.MethodsIn this study, a total of 120 subjects were recruited, all of whom were students aged between 19 and 26 years. …”
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Improvement in Explicit Prediction of Water Quality Using Wavelet-Based LSSVR and M5pRT by Rashmi Bhardwaj, Aashima Bangia

“…Two sample situates have been identified wherever highly reported pollutants levels were found and have been analyzed through artificial intelligence (AI) techniques. It can be observed that wavelet denoised signals fed into the least squares support vector regression (LSSVR) and M5 prime regression tree (M5pRT) predicted more accurately on the basis of the performance errors that are as follows: (a) root mean squared error (RMSE); (b) mean squared error (MSE); (c) mean absolute error (MAE). …”
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Optimization and loss estimation in energy-deficient polygeneration systems: A case study of Pakistan's utilities with integrated renewable energy by Muhammad Shoaib Saleem, Naeem Abas

“…Techniques used for electricity demand forecasting encompass artificial intelligence, artificial neural networks, trend line extrapolations, fuzzy logic, vector support machines, genetic algorithms and expert systems. …”
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Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

“…Given its wide-ranging applications, HPE has become one of the fastest-growing areas in computer vision and artificial intelligence. This review highlights the latest advances in 3D deep-learning-based HPE models, addressing the major challenges such as accuracy, real-time performance, and data constraints. …”
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Design, Multiperspective Investigations, and Performance Analysis of Multirotor Unmanned Aerial Vehicle for Precision Farming by Darshan Kumar Jayaram, Vijayanandh Raja, Beena Stanislaus Arputharaj, Hussein A. Z. AL-bonsrulah

“…Precision farming with artificial intelligence (AI) has solved this problem. In this experiment, AI algorithms were used to lemon leaves. …”
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Three-Dimensional Reconstruction of Space Targets Utilizing Joint Optical-and-ISAR Co-Location Observation by Wanting Zhou, Lei Liu, Rongzhen Du, Ze Wang, Ronghua Shang, Feng Zhou

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Towards accurate anomaly detection for cloud system via graph-enhanced contrastive learning by Zhen Zhang, Zhe Zhu, Chen Xu, Jinyu Zhang, Shaohua Xu

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