Factors Associated With the Accuracy of Large Language Models in Basic Medical Science Examinations: Cross-Sectional Study by Naritsaret Kaewboonlert, Jiraphon Poontananggul, Natthipong Pongsuwan, Gun Bhakdisongkhram

“… Abstract BackgroundArtificial intelligence (AI) has become widely applied across many fields, including medical education. …”
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A decentralized feedback-based consensus model considering the consistency maintenance and readability of probabilistic linguistic preference relations for large-scale group decisi... by Xian-Yong Zhang, Yi-Yang Zhou, Jian-Lan Zhou

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Conditions of construction of the system of digital transport and logistics in the management of competitiveness by D. R. Abdyusheva, A. O. Merenkov, A. A. Stepanov

“…The next stage in the development of technologies involves the development of elements of artificial intelligence (digitalization) in many branches of the real sector of the economy. …”
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Plantonome: A Cross-Platform Application for Precision Agriculture by Deroussi Anass, Ait Madi Abdessalam, Alihamidi Imam, Chabou Zakaria, Addaim Adnane

“…In recent years, there has been growing interest in leveraging the Internet of Things (IoT) and Artificial Intelligence (AI) technologies for agriculture. …”
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Probe‐Based Mechanical Data Storage on Polymers Made by Inverse Vulcanization by Abigail K. Mann, Samuel J. Tonkin, Pankaj Sharma, Christopher T. Gibson, Justin M. Chalker

“…Abstract Big data and artificial intelligence are driving increasing demand for high‐density data storage. …”
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AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core by Alessandra N Bazzano, Andrea Mantsios, Nicholas Mattei, Michael R Kosorok, Aron Culotta

“… There is a critical need for community engagement in the process of adopting artificial intelligence (AI) technologies in public health. …”
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Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation by Zheng Yao, Jingyuan Li, Jianhe Cen, Shiqi Sun, Dahu Yin, Yuanzhuo Wang

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Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model by Hongxiong Xu, Yang Zhao, Zhao Dajun, Yihong Duan, Xiangde Xu

“…Abstract Recent advancements in artificial intelligence (AI) have notably enhanced global weather forecasting, yet accurately predicting typhoon intensity remains challenging. …”
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An efficient bio-inspired algorithm based on humpback whale migration for constrained engineering optimization by Mojtaba Ghasemi, Mohamed Deriche, Pavel Trojovský, Zulkefli Mansor, Mohsen Zare, Eva Trojovská, Laith Abualigah, Absalom E. Ezugwu, Soleiman kadkhoda Mohammadi

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Printed circuit board recycling: a focus on a novel, efficient and sustainable process for spent critical metals recovery by Charpentier, Nicolas M., Xia, Dong, Gabriel, Jean-Christophe P.

“…These ECs are then subjected to a classification process using advanced sorting techniques, including machine vision and multi-energy X-ray transmission spectroscopy powered by artificial intelligence, which allows ECs with similar elemental composition to be accurately sorted together. …”
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Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature by Abbas Mardani, Mehrbakhsh Nilashi, Jurgita Antucheviciene, Madjid Tavana, Romualdas Bausys, Othman Ibrahim

“…Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artificial intelligence, especially in numerous fields such as expert systems, knowledge discovery, information system, inductive reasoning, intelligent systems, data mining, pattern recognition, decision-making, and machine learning. …”
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The present and future of digital health, digital medicine, and digital therapeutics for allergic diseases by He Zhang, Yang Cao, Haibo Jiang, Qilin Zhou, Qintai Yang, Lei Cheng

“…It highlights key advancements, including telehealth, mobile health (mHealth), artificial intelligence, clinical decision support systems (CDSS), and digital biomarkers, with a focus on their relevance to allergic disease management. …”
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A Survey of Computing-in-Memory Processor: From Circuit to Application by Wenyu Sun, Jinshan Yue, Yifan He, Zongle Huang, Jingyu Wang, Wenbin Jia, Yaolei Li, Luchang Lei, Hongyang Jia, Yongpan Liu

“…The computing-in-memory (CIM) technique is emerging with the evolvement of big data and artificial intelligence (AI) application. The manuscript presents a systematic review of existing CIM works in a bottom-up view from circuit to application. …”
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Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification by Qingyu Wang, Qingyu Wang, Duzhen Zhang, Xinyuan Cai, Tielin Zhang, Bo Xu

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Quantum theory-inspired inter-sentence semantic interaction model for textual adversarial defense by Jiacheng Huang, Long Chen, Xiaoyin Yi, Ning Yu

“…Abstract Deep neural networks have a recognized susceptibility to diverse forms of adversarial attacks in the field of natural language processing and such a security issue poses substantial security risks and erodes trust in artificial intelligence applications among people who use them. …”
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‘Bottom-up securitization’: A visual turn in security studies by M. A. Kucherov, M. V. Kharkevich

“…The authors argue that the key to addressing these issues lies in a more active use of artificial intelligence technologies and social networks.…”
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Application prospect of AI technology in the land subsidence analysis by Tongchun QIN, Tongyun YU, Yong WANG, Di NING, Haigang WANG

“…Traditional methods for land subsidence analysis face challenges in terms of speed and accuracy in big data processing and monitoring; it thus requires new approaches. Artificial intelligence (AI) technology, as a representative of new quality productive forces, offers advantages in data preprocessing, model construction, and trend forecasting. …”
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Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation Index by Roopini Sathiasai Kumar, Swapnil Sharma, Arunima Halder, Vipin Gupta

“…Aims: The aim of this study is to build a robust artificial intelligence-based solution to predict the DFI. …”
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Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks by Hanae Loutfi, Ahmed Bernatchou, Younès Raoui, Rachid Tadili

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The interdisciplinarity of the publications of the Medical University of Silesia in Katowice based on the analysis of the co-occurrence of issues specific to medicine and computer... by Ewelina Paluch, Marcela Mikulska

“…The most prevalent concepts concerning computer science in the publications were: computer science, logistic regression and artificial intelligence. The strenght of the connections between concepts regarding medicine and computer science was calculated by calculating the arithmetic mean of the score value for each pair of IT and medical concepts contained in a single publication. …”
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