TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

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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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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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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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Single online self-compassion writing intervention reduces anxiety: With the feedback of ChatGPT by Tomoko Kishimoto, Ximing Hao, Trimble Chang, Zhiye Luo

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Real-time rapid accident detection for optimizing road safety in Bangladesh by Md Shamsul Arefin, Md Ibrahim Shikder Mahin, Farzana Akter Mily

“…Indeed, this is a giant step towards harnessing artificial intelligence potentials for public safety and infrastructural development.…”
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BERT-BiGRU-Senti-GCN: An Advanced NLP Framework for Analyzing Customer Sentiments in E-Commerce by Muhammad Rizwan Rashid Rana, Asif Nawaz, Saif Ur Rehman, Muhammad Ali Abid, Mubariz Garayevi, Jana Kajanová

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A hybrid Framework for plant leaf disease detection and classification using convolutional neural networks and vision transformer by Sherihan Aboelenin, Foriaa Ahmed Elbasheer, Mohamed Meselhy Eltoukhy, Walaa M. El-Hady, Khalid M. Hosny

“…Abstract Recently, scientists have widely utilized Artificial Intelligence (AI) approaches in intelligent agriculture to increase the productivity of the agriculture sector and overcome a wide range of problems. …”
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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

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A deep learning-driven multi-layered steganographic approach for enhanced data security by Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi

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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. …”
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Detection to false data for smart grid by Jian Zheng, Shumiao Ren, Jingyue Zhang, Yu Kui, Jingyi Li, Qin Jiang, Shiyan Wang

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The data-intensive research paradigm: challenges and responses in clinical professional graduate education by Chunhong Yang, Yijing Chen, Changshun Qian, Fangmin Shi, Fangmin Shi, You Guo, You Guo, You Guo, You Guo, You Guo

“…With the widespread application of big data, artificial intelligence, and machine learning technologies in the medical field, a new paradigm of data-intensive clinical research is emerging as a key force driving medical advancement. …”
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Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulation by Hao Yin, Zhiyong Wu, Hai He

“…An Explainable Artificial Intelligence framework was then applied to assess the influence of these local-scale factors on the Standardized Precipitation Index (SPI3) at the grid scale. …”
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Design and Implementation of an Ethical AI-Based Teaching Assistant for IoT Security Education by Matilda Isaacs, Anwar Majeed, Karim Moussa, Dolapo Shodipo

“… Artificial Intelligence (AI) integration in education has evolved significantly, with today's AI systems surpassing conventional computer-assisted teaching methods by providing more dynamic and interactive learning environments. …”
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Investigating the Two Optimization Algorithms (GWO and ACO) Coupling with Radial Basis Neural Network to Estimate the Pile Settlement by Ehsanolah Assareh, Reza Poultangari

“…Theoretical ways to calculate the pile movement mathematically have been adopted to model the PS, mostly by using artificial intelligence (AI). This paper has aimed to estimate the pile settlement rates based on pile samples. …”
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A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy by Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee

“…However, recent advancements in artificial intelligence, particularly deep learning, have demonstrated superior pattern recognition capabilities compared to humans in complex scenarios. …”
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Digital pathways to healthcare: a systematic review for unveiling the trends and insights in online health information-seeking behavior by Yang Fu, Yang Fu, Ping Han, Jian Wang, Fakhar Shahzad

“…Second, the convergence trend with emerging information technologies such as big data, artificial intelligence, and social media is changing user behavior and how people search for health information. …”
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Introducing a Markov Chain-Based Energy Awareness Approach for Cloud Data Center Virtual Machine Dynamic Management by Xinbin Huang, Yu Huang, Cecılıa. Mercado

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Modern air defense methods and countermeasures for use in operational-tactical missiles by Mykola Bondarenko, Mykhailo Vorobei

“…This article delves into the multifaceted realm of missile defense, scrutinizing a spectrum of methodologies from conventional anti-aircraft systems to cutting-edge artificial intelligence algorithms. The primary objective is to explore existing methodologies aimed at protecting military assets and countering high-precision weaponry. …”
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