Automatic Classification of Difficulty of Texts From Eye Gaze and Physiological Measures of L2 English Speakers by Javier Melo, Leigh Fernandez, Shoya Ishimaru

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Transdisciplinary role of physical and mathematical disciplines in modern natural science and engineering education by V. A. Testov, E. A. Perminov

“…As a result of the transdisciplinary trend in science, such scientific fields as cybernetics, general systems theory, catastrophe theory, synergetics, artificial intelligence, big data, etc. have emerged. All these concepts were developed on the basis of the achievements of mathematics and physics over the past 70–80 years, which gave rise to the most unique practical achievements in modern, natural, and technical sciences.Aim. …”
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Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture by Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis

“…To fill this gap, this study integrates explainable artificial intelligence, specifically SHapley Additive exPlanations (SHAP), thus enhancing the interpretability of the model. …”
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Gesture sonification for enhancing agency: an exploratory study on healthy participants by Felix Schoeller, Felix Schoeller, Parham Ashur, Joseph Larralde, Clement Le Couedic, Rajeev Mylapalli, Karthikeyan Krishnanandan, Anna Ciaunica, Anna Ciaunica, Adam Linson, Mark Miller, Nicco Reggente, Vladimir Adrien, Vladimir Adrien

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Artificial Neural Networks as a Tool for High-Accuracy Prediction of In-Cylinder Pressure and Equivalent Flame Radius in Hydrogen-Fueled Internal Combustion Engines by Federico Ricci, Massimiliano Avana, Francesco Mariani

“…While traditional simulation tools such as GT-POWER are widely utilized for these purposes, recent advancements in artificial intelligence provide new opportunities for achieving faster and more accurate predictions. …”
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A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection by Wasswa Shafik, Ali Tufail, Chandratilak Liyanage De Silva, Rosyzie Anna Awg Haji Mohd Apong

“…It further presents a real-time artificial intelligence (AI) application available in MATLAB, Android, and Servlet to automatically identify and classify diseases based on the leaf environment using improved CNN, machine learning (ML), and computer vision techniques. …”
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τSQWRL: A TSQL2-Like Query Language for Temporal Ontologies Generated from JSON Big Data by Zouhaier Brahmia, Fabio Grandi, Rafik Bouaziz

“…., Semantic Web, expert systems, knowledge bases, big data, and artificial intelligence). They facilitate temporal knowledge representation and discovery, with the support of temporal data querying and reasoning. …”
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A comprehensive review of AI-based collagen valorization: Recent trends, innovations in extraction, and applications by Arthi Srinivasan, Arun Gupta, Vigneswaran Narayanamurthy

“…The study explores the transformative role of artificial intelligence (AI) in optimizing collagen extraction processes, enhancing efficiency, yield, and quality while reducing energy consumption and waste generation. …”
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Development of multi-agent information security management system by I. P. Khavina, Yu. V. Hnusov, O. O. Mozhaiev

“…Therefore, a significant place in the article is given to the review of developments based on artificial intelligence technologies, namely multi-agent systems, review of information security models, threat risk assessment in automated systems. …”
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Training for tomorrow: Establishing a worldwide curriculum in online adaptive radiation therapy by Meegan Shepherd, Elizabeth Joyce, Bethany Williams, Siobhan Graham, Winnie Li, Jeremy Booth, Helen A. McNair

“…By leveraging artificial intelligence and fostering interdisciplinary collaboration, the radiation therapy field can enhance efficiency and accuracy in oART. …”
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An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification by Aijaz Ahmad Reshi, Furqan Rustam, Arif Mehmood, Abdulaziz Alhossan, Ziyad Alrabiah, Ajaz Ahmad, Hessa Alsuwailem, Gyu Sang Choi

“…Artificial intelligence (AI) techniques in general and convolutional neural networks (CNNs) in particular have attained successful results in medical image analysis and classification. …”
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A Novel Change Detection Method Based on Visual Language From High-Resolution Remote Sensing Images by Junlong Qiu, Wei Liu, Hui Zhang, Erzhu Li, Lianpeng Zhang, Xing Li

“…Recently, the release of “all-in-one” foundation models has sparked rapid developments in artificial intelligence. However, due to the fact that these models are typically trained on natural images, their potential in remote sensing remains largely untapped. …”
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Alteration of Mastication Force via Intraoral Closed-Loop Electrical Stimulation by Junxiang Zheng, Bing Jiang, Saurabh Biswas, Su Young Lee, Erin Ealba Bumann, Teresa E. Lever, Jeonghee Kim, Hangue Park

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An Artificial Neural Network Developed in MATLAB-Simulink for Reconstruction a Distorted Secondary Current Waveform. Part 1 by Yu. V. Rumiantsev, F. A. Romaniuk

“…Аrtificial neural networks are one of the fastest growing areas in artificial intelligence technology. Recently, there has been an increased interest in the use of аrtificial neural networks in the electric power engineering, including relay protection. …”
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Decoding the brain-machine interaction for upper limb assistive technologies: advances and challenges by Sutirtha Ghosh, Rohit Kumar Yadav, Sunaina Soni, Shivangi Giri, Shivangi Giri, Suriya Prakash Muthukrishnan, Lalan Kumar, Lalan Kumar, Shubhendu Bhasin, Sitikantha Roy

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Sustainable Environmental Monitoring: Multistage Fusion Algorithm for Remotely Sensed Underwater Super-Resolution Image Enhancement and Classification by Wad Ghaban, Jawad Ahmad, Ali Akbar Siddique, Mohammad S. Alshehri, Anila Saghir, Faisal Saeed, Baraq Ghaleb, Mujeeb Ur Rehman

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ClassWise-SAM-Adapter: Parameter-Efficient Fine-Tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation by Xinyang Pu, Hecheng Jia, Linghao Zheng, Feng Wang, Feng Xu

“…In the realm of artificial intelligence, the emergence of foundation models, backed by high computing capabilities and extensive data, has been revolutionary. …”
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The evolving roles of geophysics in environmental assessment, monitoring, and management of landfill leachate contaminant plumes: An overview by Joseph Omeiza Alao

“…Future research should focus on developing advanced data interpretation techniques, integrating geophysical data with other environmental monitoring data, and exploring the use of artificial intelligence for automated analysis and prediction of LLP behaviour, which ultimately aiding the environmental decision-makers in addressing ecological challenges and designing/managing landfill sites.…”
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Heterogeneous graph convolutional neural network for protein-ligand scoring by Kevin Crampon, Alexis Giorkallos, Xavier Vigouroux, Stephanie Baud, Luiz Angelo Steffenel

“…It has achieved good performances by outperforming classical methods and being among the best artificial intelligence (AI) methods. Conclusions: Thus, HGScore brings a new way to represent protein-ligand interactions. …”
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Forecasting US data center CO2 emissions using AI models: emissions reduction strategies and policy recommendations by Rohan Jha, Rishabh Jha, Mazhar Islam

“…Data centers are poised for unprecedented growth due to a revolution in Artificial Intelligence (AI), rise in cryptocurrency mining, and increasing cloud demand for data storage. …”
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