AI-Enabled Sensing and Decision-Making for IoT Systems by Hao Qinxia, Shah Nazir, Ma Li, Habib Ullah Khan, Wang Lianlian, Sultan Ahmad

“…The influential stage of Internet of Things (IoT) has reformed all fields of life in general but specifically with the emergence of artificial intelligence (AI) has drawn the attention of researchers into a new paradigm of life standard. …”
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An Efficient Detector for Automatic Tomato Classification Systems by Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Jehwan Choi, Kang-Hyun Jo

“…Nowadays, artificial intelligence and robotics have been deployed in almost all areas of human life. …”
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Machine Learning in Acute Stroke Neuroimaging. A Systematic Literature Review by D. Matuliauskas, I. Stražnickaitė, A. Samuilis, D. Jatužis

“… Background. Artificial intelligence (AI) in medical imaging is a growing and promising technology that can be applied in stroke diagnosis. …”
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Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms by Gunwoo Lee, Jungmin Lee, Minkyo Jung, Joseph Lee, Kihun Hong, Souhwan Jung, Yoseob Han

“…Deepfake content-including audio, video, images, and text-synthesized or modified using artificial intelligence is designed to convincingly mimic real content. …”
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Machine Learning for Promoting Environmental Sustainability in Ports by Meead Mansoursamaei, Mahmoud Moradi, Rosa G. González-Ramírez, Eduardo Lalla-Ruiz

“…The application of machine learning (ML), as one of the main subdomains of artificial intelligence (AI), can be considered a component within the process of digital transformation to advance green activities in maritime port logistics. …”
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Transmission line trip faults under extreme snow and ice conditions: a case study by Guojun Zhang

“…Moreover, the integration of unmanned aerial vehicles (UAVs) and artificial intelligence (AI)-based fault detection tools presents promising opportunities for improving remote monitoring capabilities and enabling proactive maintenance interventions. …”
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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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Efficacy of Bluetooth-Based Data Collection for Road Traffic Analysis and Visualization Using Big Data Analytics by Ashish Rajeshwar Kulkarni, Narendra Kumar, K. Ramachandra Rao

“…Urban traffic management has come a long way from manual control to artificial intelligence techniques. Still real-time adaptive traffic control is an unfulfilled dream due to lack of low cost and easy to install traffic sensor with real-time communication capability. …”
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XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations by Mohammad Azad, Md Faraz Kabir Khan, Sameh Abd El-Ghany

“…While various research endeavors have explored obesity classification, many existing approaches lack reliability due to limited integration with explainable artificial intelligence (XAI) methodologies. In this study, we propose a robust machine learning framework that incorporates Explainable AI (XAI) principles to accurately estimate obesity levels and provide insights into the factors influencing the predictions. …”
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Study of Multi-Service Networks and Communication Systems Using Distributed Network Technology in Mountain Areas by Rustamova D. F., Mehdiyeva A. M., Mahmudova Z. A., Abdullaev J., Sapaev B.

“…The FN concept involves the introduction of virtualization technologies, artificial intelligence methods and tools on a corporate network. …”
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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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Trends in InsurTech Development in Korea: A News Media Analysis of Key Technologies, Players, and Solutions by Yongsu Lee, Hyosook Yim

“…First, regarding changes in InsurTech technology, blockchain and the Internet of Things initially garnered significant attention, but artificial intelligence and big data later emerged as more critical technologies. …”
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Protocol for a qualitative study to explore acceptability, barriers and facilitators of the implementation of new teleophthalmology technologies between community optometry practic... by Ann Blandford, Konstantinos Balaskas, Rima Hussain, Sarah Abdi, Angela Aristidou, Josie Carmichael, Giulia Cappellaro

“…However, little is known about the acceptability and facilitators and barriers to the implementations of these technologies in real life.Methods and analysis A theoretically informed, qualitative study will explore patients’ and healthcare professionals’ perspectives on teleophthalmology and Artificial Intelligence Decision Support System models of care. …”
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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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The Time Machine: Future Scenario Generation Through Generative AI Tools by Jan Ferrer i Picó, Michelle Catta-Preta, Alex Trejo Omeñaca, Marc Vidal, Josep Maria Monguet i Fierro

“…This case study aimed to design a digital system for end-users called the Time Machine, which enables a generative artificial intelligence (GAI) system to produce prospective future scenarios based on the input information automatically, proposing hypotheses and prioritising trends to streamline and make the formulation of future scenarios more accessible. …”
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A multigrained preference analysis method for product iterative design incorporating AI-generated review detection by Zhaojing Su, Mei Yang, Qingbo Zhai, Kaiyuan Guo, Yuexin Huang, Yangfan Cong

“…With the surge of generative artificial intelligence (AI) technologies such as ChatGPT, some merchants might exploit them to fabricate deceptive positive reviews, and competitors may also fabricate negative reviews to influence the opinions of consumers and designers. …”
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A Machine Learning Approach for Environmental Assessment on Air Quality and Mitigation Strategy by Chetan Shetty, S. Seema, B. J. Sowmya, Rajesh Nandalike, S. Supreeth, Dayananda P., Rohith S., Vishwanath Y., Rajeev Ranjan, Venugopal Goud

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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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Dynamic Warping Network for Semantic Video Segmentation by Jiangyun Li, Yikai Zhao, Xingjian He, Xinxin Zhu, Jing Liu

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