A Deep Learning Approach for Automated Depression Assessment Using Roman Urdu by Ruba Mohmand, Usman Habib, Muhammad Usman, Jamel Baili, Yunyoung Nam

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ChatGPT performance in assessing musculoskeletal MRI scan appropriateness based on ACR appropriateness criteria by Jin Rong Tan, Daniel Y. Z. Lim, Quan Le, Gita Y. Karande, Lai Peng Chan, Yeong Huei Ng, Daniel S. W. Ting, Sudharsan Madhavan, Hiok Yang Chan, Anh N. T. Tran, Yusheng Keefe Lai

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Broadband unidirectional visible imaging using wafer-scale nano-fabrication of multi-layer diffractive optical processors by Che-Yung Shen, Paolo Batoni, Xilin Yang, Jingxi Li, Kun Liao, Jared Stack, Jeff Gardner, Kevin Welch, Aydogan Ozcan

“…Beyond broadband unidirectional imaging in the visible spectrum, this study establishes a pathway for artificial-intelligence-enabled diffractive optics with versatile applications, signaling a new era in optical device functionality with industrial-level, massively scalable fabrication.…”
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Smartphone image dataset for machine learning-based monitoring and analysis of mango growth stagesMendeley Data by Sayem Kabir, Md Fokrul Akon, Mohammad Rifat Ahmmad Rashid, Maheen Islam, Taskeed Jabid, Mohammad Manzurul Islam, Md Sawkat Ali

“…Machine learning and artificial intelligence have gained widespread popularity across various sectors in Bangladesh, with the notable exception of the agriculture industry. …”
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On the issue of ensuring secure access to information systems using biometric authentication based on a fuzzy image of the user’s identity and neural network transformations by O. I. Bokova, S. V. Kanavin, N. S. Khokhlov, I. V. Gilev, L. A. Lekar

“…A listing of the program code in Python for creating and training a neural network of a bioidentifier classifier is provided. …”
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Cardiotropic medicinal products of plant origin. Prospects for use in modern clinical practice by Nadezhda V. Nesterova, Natalia D. Bunyatyan, Irina A. Samylina, Vladimir A. Evteev

“…Taking into account the prospects for the use of herbal preparations with cardiotropic effects in the complex therapy of cardiovascular diseases, an important and unsolved problem today remains the problem of their interaction with other drugs, which in the future can be solved by creating artificial intelligence programs that contribute to the formation of optimal prescriptions for a particular patient.…”
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Closing the diagnostic gap: A narrative review of recent advances in functional MRI diagnostics in spinal cord injury by Christian J. Entenmann, Katharina Kersting, Peter Vajkoczy, Anna Zdunczyk

“…It also explores the role of artificial intelligence (AI) in analyzing complex datasets to support more comprehensive diagnostics. …”
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Artery segmentation and atherosclerotic plaque quantification using AI for murine whole slide images stained with oil red O by Johann Christopher Engster, Tobias Reinberger, Nele Blum, Pascal Stagge, Thorsten M. Buzug, Zouhair Aherrahrou, Maik Stille

“…To establish a robust segmentation pipeline, we benchmark our methods using manually created masks ( $$\text {n}=6085$$ for artery segmentation, $$\text {n}=1089$$ for plaque segmentation). …”
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How Do AI Educators Use Open Educational Resources? A Cross-Sectoral Case Study on OER for AI Education by Florian Rampelt, Raffael Ruppert, Johannes Schleiss, Dana-Kristin Mah, Katharina Bata, Marc Egloffstein

“… Artificial Intelligence (AI) literacy is essential for society as a whole. …”
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Development and validation of a framework for registration of whole-mount radical prostatectomy histopathology with three-dimensional transrectal ultrasound by Auke Jager, Marije J. Zwart, Arnoud W. Postema, Daniel L. van den Kroonenberg, Wim Zwart, Harrie P. Beerlage, J. R. Oddens, Massimo Mischi

“…Abstract Purpose Artificial intelligence (AI) has the potential to improve diagnostic imaging on multiple levels. …”
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Conversion from Forest to Agriculture in the Brazilian Amazon from 1985 to 2021 by Hugo Tameirão Seixas, Hilton Luís Ferraz da Silveira, Alan Pereira da Silva Falcão Mendes, Fabiana Da Silva Soares, Ramon Felipe Bicudo da Silva

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Computational Linguistics Applications in AI-Based Investment and Cost Structuring Models by Miralieva Dilafruz, Ramatov Jumaniyoz, Azimova Lola, Khusamiddinova Malika, Alimbaeva Shahlo, Omonova Laylo

“…Artificial intelligence is an influential technological paradigm that is quickly and comprehensively transforming financial decision-making systems worldwide. …”
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AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses by Dimitrios Kapetas, Panagiotis Christakakis, Sofia Faliagka, Nikolaos Katsoulas, Eleftheria Maria Pechlivani

“…The main challenge is creating AI models that perform with speed and accuracy, enabling immediate farmer action. …”
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Investigation of the Internal Structure of Hard-to-Reach Objects Using a Hybrid Algorithm on the Example of Walls by Rafał Brociek, Józef Szczotka, Mariusz Pleszczyński, Francesca Nanni, Christian Napoli

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Binary Particle Swarm Optimization with Manta Ray Foraging Learning Strategies for High-Dimensional Feature Selection by Jianhua Liu, Yuxiang Chen, Shanglong Li

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Advanced computing to support urban climate neutrality by Gregor Papa, Rok Hribar, Gašper Petelin, Vida Vukašinović

“…Central to this are recent advances in artificial intelligence, particularly machine learning, which offer enhanced capabilities for analyzing and processing large, heterogeneous urban data. …”
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Impact of Sound and Image Features in ASMR on Emotional and Physiological Responses by Yubin Kim, Ayoung Cho, Hyunwoo Lee, Mincheol Whang

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Ontology of genesis of the general education course of Informatics in Russia based on historical and pedagogical analysis by Eteri V. Mindzaeva, Natalya I. Ryzhova

“…The historical and pedagogical approach, which provides opportunities to identify trends in the development of computer science didactics, makes it possible to predict the prospects for such development in the context of modern ideas and ongoing projects, primarily the project of creating a unified state textbook on Informatics.…”
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Hardware and software of cubesat nanosatellites` on-board computers: a systematized literature review by Ihor Turkin, Oleksandr Liubimov, Lina Volobuieva, Viacheslav Valkovyi

“…However, expert classification creates additional difficulties associated with the coordination of subjective expert opinions. …”
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Increasing pathogenic germline variant diagnosis rates in precision medicine: current best practices and future opportunities by Sonam Dukda, Manoharan Kumar, Andrew Calcino, Ulf Schmitz, Matt A. Field

“…Further, advances in artificial intelligence and machine learning applications in biomedical research offer enormous potential, however they require careful consideration and benchmarking given the clinical nature of the data. …”
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