Assessing Familiarity, Usage Patterns, and Attitudes of Medical Students Toward ChatGPT and Other Chat-Based AI Apps in Medical Education: Cross-Sectional Questionnaire Study by Safia Elwaleed Elhassan, Muhammad Raihan Sajid, Amina Mariam Syed, Sidrah Afreen Fathima, Bushra Shehroz Khan, Hala Tamim

“… Abstract BackgroundThere has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps in medical education. Despite data being available from other parts of the world, there is a significant lack of information on this topic in medical education and research, particularly in Saudi Arabia. …”
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Improving Telemedicine through IoT and Cloud Computing: Opportunities and Challenges by M. Sunil Kumar, D. Ganesh

“…The reports highlight the necessity of more studies on the integration of artificial intelligence in telemedicine and the adoption of edge computing solutions to overcome cloud-related issues in low-connectivity scenarios. …”
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Advanced deep learning techniques for recognition of dental implants by Veena Benakatti, Ramesh P. Nayakar, Mallikarjun Anandhalli, Rohit sukhasare

“…Currently, radiographs are the only tools for implant identification which is inherently a complex process, hence the need for implant identification technique. Artificial intelligence capable of analysing images in a radiograph and predicting implant type is an efficient tool. …”
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Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube by Peng Chen, Xiaoli Wang, Rao Fu, Xiaoyan Xiao, Yu Li, Tulin Lu, Tao Wang, Qiaosheng Guo, Peina Zhou, Chenghao Fei

“…The multivariate statistical analysis and support vector machine (SVM) classification were also combined to develop a novel artificial intelligence algorithm. The accuracy of this innovative method was significantly higher than that of conventional discriminant analysis methods, achieving a perfect 100.0 % accuracy. …”
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Pre-therapeutic efficacy of the CDK inhibitor dinaciclib in medulloblastoma cells by Marta Buzzetti, Sonia Morlando, Dimitrios Solomos, Ammara Mehmood, Alexander W. I. Cox, Mattia Chiesa, Yuri D’Alessandra, Michela Garofalo, Caroline H. Topham, Gianpiero Di Leva

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Implementation of Fuzzy Logic in the Monitoring and Controlling System for Temperature and pH of Fry Aquarium Water Betta Fish Based on the Internet of Things by Rico Wahyudi, Aulia Ullah, Hilman Zarory, Ahmad Faizal

“…This system is implemented in an aquarium equipped with artificial intelligence in decision making which aims to keep the temperature and pH of the aquarium water stable. …”
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DEVELOPMENT OF AN INTERACTIVE WEBSITE WITH DIDACTIC GAMES TO ENHANCE VOCABULARY IN YOUNG STUDENTS WITH INTELLECTUAL DISABILITIES by Anna Bober, Yuriy Kosenko, Olena Korol

“…Images for didactic games were generated by playground.ai artificial intelligence, which opens up new opportunities for creating visually appealing games and tasks. …”
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Optimizing alpha–beta filter for enhanced predictions accuracy in industrial applications using Mamdani fuzzy inference system by Junaid Khan, Muhammad Fayaz, Umar Zaman, Eunkyu Lee, Awatef Salim Balobaid, Muhammad Bilal, Kyungsup Kim

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Fueling the development of elderly care services in China with digital technology: A provincial panel data analysis by Jiaxin He, Dangchen Sui, Lingpeng Li, Xinyan Lv

“…Objective: This study aims to investigate the transformative potential of digital technology, which includes innovations such as e-commerce, cloud computing, and artificial intelligence, on elderly care cervices in China. …”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…The proposed work also incorporates Grad-CAM-based Explainable Artificial Intelligence (XAI) to visualize and interpret the decision making of the network. …”
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Eco-innovative approaches for recycling non-polyester/cotton blended textiles by Chandra Manivannan Arun, Logeshwaran Panneerselvan, Gunasekhar Nachimuthu, Meredith Conaty, Thava Palanisami

“…In the sorting stage, integrating artificial intelligence (AI) and machine learning (ML) enhances efficiency and accuracy. …”
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Archaeological Site Detection: Latest Results from a Deep Learning Based Europe Wide Hillfort Search by Jürgen Landauer, Simon Maddison, Giacomo Fontana, Axel G. Posluschny

“…This research tackles the complexities of large-scale archaeological site detection by integrating Artificial Intelligence (AI) with LiDAR data, focusing on hillforts across diverse European landscapes. …”
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Navigating vaccination in pregnancy: Qualitative study in 21 ethnically diverse pregnant women. by Mohammad S Razai, Michael Ussher, Lucy Goldsmith, Sally Hargreaves, Pippa Oakeshott

“…We also explored women's attitudes to taking part in vaccine trials during pregnancy and the use of artificial intelligence (AI) to obtain information on vaccines.…”
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An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization by Shuai Wan, Shipan Li, Zheng Chen, Yunchao Tang

“…This hybrid approach offers high efficiency and accuracy for void defect detection in CFST, providing a novel solution that leverages the strengths of both traditional ultrasonic methods and artificial intelligence algorithms. The method not only detects the presence of void defects but also quantifies their extent, advancing CFST inspection from qualitative analysis to quantitative assessment.…”
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Explanatory LSTM-AE-Based Anomaly Detection for Time Series Data in Marine Transportation by Zhan Wang, Mwamba Kasongo Dahouda, Hyoseong Hwang, Inwhee Joe

“…To enhance the interpretability of the results, explainable artificial intelligence (XAI) techniques are incorporated, specifically shapley additive explanations (SHAP) and local interpretable model-agnostic explanations (LIME), to identify which features have the most impact on detected anomalies. …”
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Research progress of light-curing 3D printing polymer materials by HU Feiyang, LI Haoding, LUAN Shuyang, MAO Caiwang, CHEN Jiamiao, FAN Hao, SHI Jianjun, SONG Jiangxuan

“…In the future, light-curing 3D printing technology is expected to advance toward the development of high-performance polymer composites, the integration of intelligent and automated printing systems, and the deep integration with cutting-edge technologies such as artificial intelligence, continually driving its applications and innovations in high-tech fields and advanced manufacturing.…”
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Explainable deep learning approach for recognizing “Egyptian Cobra” bite in real-time by Elhoseny Mohamed, Hassan Ahmed, Shehata Marwa H., Kayed Mohammed

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Assessing the Impact of Covid19-Pandemic on the Household Income in Kamuganguzi Sub-County Kabale District. by Arinda, Redeemer Present

“…Innovative approaches, such as using artificial intelligence in high-risk/high-traffic sites to enhance COVID-19 detection efficiency while protecting medical staff and the general public from cross-infections, should be considered. …”
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Identification of maize kernel varieties based on interpretable ensemble algorithms by Chunguang Bi, Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie, Shuo Zhang, He Chen, Mohan Wang, Lei Shi, Lei Shi, Shaozhong Song

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