Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the Car... by Jeremy Petch, Juan Pablo Tabja Bortesi, Tej Sheth, Madhu Natarajan, Natalia Pinilla-Echeverri, Shuang Di, Shrikant I Bangdiwala, Karen Mosleh, Omar Ibrahim, Kevin R Bainey, Julian Dobranowski, Maria P Becerra, Katie Sonier, Jon-David Schwalm

“…We expect to submit the results for publication in 2026. ConclusionsCarDIA-AI will be the first randomized controlled trial using AI to optimize patient selection for CCTA versus ICA, potentially improving diagnostic efficiency, avoiding unnecessary complications of ICA, and improving health care resource usage. …”
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MLRec: A Machine Learning-Based Recommendation System for High School Students Context of Bangladesh by Momotaz Begum, Mehedi Hasan Shuvo, Jia Uddin

“…We also used Explainable AI (LIME and SHAP) techniques to visualize the root causes of social networks’ effects on students’ school performance. …”
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Pharmacy students’ perception and knowledge of chat-based artificial intelligence tools at a Nigerian University by Edidiong Orok, Chidera Okaramee, Bethel Egboro, Esther Egbochukwu, Khairat Bello, Samuel Etukudo, Mark-Solomon Ogologo, Precious Onyeka, Obinna Etukokwu, Mesileya Kolawole, Ameerah Orire, Inimuvie Ekada, Oluwole Akawa

“…It also assessed their familiarity with these tools and their usage patterns. Method A cross-sectional online survey was conducted from March to April 2024 among undergraduate pharmacy students, selected through random sampling. …”
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Multi-objective optimization of EMS facilities using multi-source data: A case study in Dangtu, China by Jinze Li, Xiao Wang, Qiyan Zhang, Peng Tang

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Edge-LLM Inference With Cost-Aware Layer Allocation and Adaptive Scheduling by Sama Habibi, Ozgur Ercetin

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Optimizing Nutrient Formulations Through Artificial Intelligence Model to Reduce Excessive Fertigation in <italic>Lettuce</italic> Grown in Hydroponic Systems by Gadelhag Mohmed, Gultekin Hasanaliyeva, Roy O'Mahony, Chungui Lu

“…The results demonstrate that the AI-driven approach can reduce nutrient usage by up to 40% without compromising plant growth and yield when compared to traditional formulations. …”
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Forecasting the Remaining Useful Life of Lithium-Ion Batteries Using Machine Learning Models—A Web-Based Application by Chisom Onyenagubo, Yasser Ismail, Radian Belu, Fred Lacy

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Soil environmental quality and its assessment of rice production for non-environmental pollution in Nanhu district of Jiaxing in Zhejiang Province by LI Ai-fen, QIAN Shi-ming, LI Jin

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Strict relationship between phenotypic and plasmid-associated genotypic of multidrug-resistant Escherichia coli isolated from Taihe Black-Boned Silky Fowl farms by Li Zhang, Mengjun Ye, Yifan Dong, Lijuan Yuan, Jianjun Xiang, Xiren Yu, Qiegen Liao, Qiushuang Ai, Suyan Qiu, Dawen Zhang

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Global progress in competitive co-evolution: a systematic comparison of alternative methods by Stefano Nolfi, Paolo Pagliuca

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Characteristics of ChatGPT users from Germany: Implications for the digital divide from web tracking data. by Celina Kacperski, Roberto Ulloa, Denis Bonnay, Juhi Kulshrestha, Peter Selb, Andreas Spitz

“…A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that predict usage of the AI-powered conversational agent ChatGPT. …”
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Using artificial intelligence for enhancement of solar cell efficiency in the of Iraq by Ibtihal R. N. ALRubeei, Safa N. Idi, Ihab L. Hussein Alsammak, Haider Th. AlRikabi, Hussain A. Mutar, Abdul Hadi M. Alaidi

“…The research seeks to boost solar energy cell performance by establishing an AI-based site selection strategy for south Iraq locations. …”
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Using artificial intelligence for enhancement of solar cell efficiency in the of Iraq by Ibtihal R. N. ALRubeei, Safa N. Idi, Ihab L. Hussein Alsammak, Haider Th. AlRikabi, Hussain A. Mutar, Abdul Hadi M. Alaidi

“…The research seeks to boost solar energy cell performance by establishing an AI-based site selection strategy for south Iraq locations. …”
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Rural-Urban Differentials in Utilization of Artificial Intelligence for Improved Agricultural Production among Crop Farmers in Southeast Nigeria by Emmanuel Ejiofor Omeje, Ikenna Charles Ukwuaba, Kelvin Nnaemeke Nwangwu, Ibrahim Isaac Umaru, Justina Chituru Ibe, Chukwuma Otum Ume, Johnpaul Tochukwu Offorma

“…It specifically examined the level of awareness and utilisation of AI, the effect of AI usage on crop production, and the challenges associated with the awareness and utilisation of AI. 316 respondents were selected through multistage sampling, and data were analysed using descriptive statistics and OLS regression. …”
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Rural-Urban Differentials in Utilization of Artificial Intelligence for Improved Agricultural Production among Crop Farmers in Southeast Nigeria by Emmanuel Ejiofor Omeje, Ikenna Charles Ukwuaba, Kelvin Nnaemeke Nwangwu, Ibrahim Isaac Umaru, Justina Chituru Ibe, Chukwuma Otum Ume, Johnpaul Tochukwu Offorma

“…It specifically examined the level of awareness and utilisation of AI, the effect of AI usage on crop production, and the challenges associated with the awareness and utilisation of AI. 316 respondents were selected through multistage sampling, and data were analysed using descriptive statistics and OLS regression. …”
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Rural-Urban Differentials in Utilization of Artificial Intelligence for Improved Agricultural Production among Crop Farmers in Southeast Nigeria by Emmanuel Ejiofor Omeje, Ikenna Charles Ukwuaba, Kelvin Nnaemeke Nwangwu, Ibrahim Isaac Umaru, Justina Chituru Ibe, Chukwuma Otum Ume, Johnpaul Tochukwu Offorma

“…It specifically examined the level of awareness and utilisation of AI, the effect of AI usage on crop production, and the challenges associated with the awareness and utilisation of AI. 316 respondents were selected through multistage sampling, and data were analysed using descriptive statistics and OLS regression. …”
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Using artificial intelligence for hiring talents in a moderated mechanism by Muhaiminul Islam, Md. Mahbubur Rahman, Md. Abu Taher, G. M. Azmal Ali Quaosar, Md. Aftab Uddin

“…Abstract Globally, artificial intelligence (AI) occupies a burgeoning space among recruiters as it replaces many of the recruitment and selection tasks while hiring the talents. …”
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A Genetic Algorithm Approach to Adaptive Learning: Enhancing Learner Satisfaction and Performance by Anju Kalwar, Deepika Shekhawat, Sandeep Joshi, Amit Kumar Bairwa

“…Thus, this study expands the existing literature on adaptive learning technologies by including the usage of GA in education. Future work will extend this by investigating how GAs can be mixed with other AI approaches, GA applicability to larger datasets, and real-time adaptation improvements.…”
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Enhanced Occupational Safety in Agricultural Machinery Factories: Artificial Intelligence-Driven Helmet Detection Using Transfer Learning and Majority Voting by Simge Özüağ, Ömer Ertuğrul

“…The objective of this study was to develop an artificial intelligence (AI)-driven model for the detection of helmet usage among workers in tractor and agricultural machinery factories with the aim of enhancing occupational safety. …”
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Using Artificial Intelligence to Improve the Efficiency of the Market Valuation Method by Stoyan Stoyanov

“…This shows that the usage of AI could be an integral part of financial analysis in the future and could significantly improve the efficiency of the market valuation method. …”
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