A dataset of annotated African plum images from Cameroon for AI-based quality assessmentKaggle by Arnaud Nguembang Fadja, Armel Gabin Fameni Tagni, Sain Rigobert Che, Marcellin Atemkeng

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Using Machine Learning to Diagnose Autism Based on Eye Tracking Technology by Ameera S. Jaradat, Mohammad Wedyan, Saja Alomari, Malek Mahmoud Barhoush

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Combined Oriented Data Augmentation Method for Brain MRI Images by Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor

“…After adding the synthetic data; the accuracy improved to 92.7% for dataset A, 95.37% for dataset B, 96.51% for dataset C and 98% for dataset D respectively.…”
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Associations between degree of food processing and all-cause and cause-specific mortality: a multicentre prospective cohort analysis in 9 European countriesResearch in context by Esther M. González-Gil, Michèle Matta, Fernanda Morales Berstein, Manon Cairat, Geneviève Nicolas, Jessica Blanco, Nathalie Kliemann, Renata Bertazzi Levy, Fernanda Rauber, Inarie Jacobs, Aline Al Nahas, Emine Koc Cakmak, Eszter P. Vamos, Kiara Chang, Sahar G. Yammine, Christopher Millett, Mathilde Touvier, Maria Gabriela Matias Pinho, Konstantinos K. Tsilidis, Alicia K. Heath, Christina M. Lill, Valeria Pala, Conchi Moreno-Iribas, Maria Santucci De Magistris, Christina C. Dahm, Niels Bock, Anja Olsen, Anne Tjønneland, Yvonne T. van der Schouw, Pilar Amiano, Franziska Jannasch, Matthias B. Schulze, Francesca Romana Mancini, Chloé Marques, Claire Cadeau, Catalina Bonet, Daniel Redondo-Sánchez, Kristin Benjaminsen Borch, Magritt Brustad, Guri Skeie, Jesús Humberto-Gómez, Alessandra Macciotta, Pietro Ferrari, Laure Dossus, Marc J. Gunter, Inge Huybrechts

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Adenomas from individuals with pathogenic biallelic variants in the MUTYH and NTHL1 genes demonstrate base excision repair tumour mutational signature profiles similar to colorecta... by Romy Walker, Jihoon E. Joo, Khalid Mahmood, Mark Clendenning, Julia Como, Susan G. Preston, Sharelle Joseland, Bernard J. Pope, Ana B.D. Medeiros, Brenely V. Murillo, Nicholas Pachter, Kevin Sweet, Allan D. Spigelman, Alexandra Groves, Margaret Gleeson, Krzysztof Bernatowicz, Nicola Poplawski, Lesley Andrews, Emma Healey, Steven Gallinger, Robert C. Grant, Aung K. Win, John L. Hopper, Mark A. Jenkins, Giovana T. Torrezan, Christophe Rosty, Finlay A. Macrae, Ingrid M. Winship, Daniel D. Buchanan, Peter Georgeson

“…Therefore, testing adenomas may improve the identification of biallelic cases and facilitate variant classification, ultimately enabling opportunities for CRC prevention.…”
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Impact of facial tattoos and paintings on face recognition systems by Mathias Ibsen, Christian Rathgeb, Thomas Fink, Pawel Drozdowski, Christoph Busch

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AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro by Valeria Maeda-Gutiérrez, Juan José Oropeza-Valdez, Luis C. Reveles-Gómez, Cristian Padron-Manrique, Osbaldo Resendis-Antonio, Luis Octavio Solís-Sánchez, Hector A. Guerrero-Osuna, Carlos Alberto Olvera Olvera

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Recognition of fabric composition of clothing in an image in e-commerce using neural networks by V. V. Sorokina

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Stress Monitoring in Pandemic Screening: Insights from GSR Sensor and Machine Learning Analysis by Antonios Georgas, Anna Panagiotakopoulou, Grigorios Bitsikas, Katerina Vlantoni, Angelo Ferraro, Evangelos Hristoforou

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Evaluating the advancements in protein language models for encoding strategies in protein function prediction: a comprehensive review by Jia-Ying Chen, Jia-Ying Chen, Jia-Ying Chen, Jing-Fu Wang, Jing-Fu Wang, Jing-Fu Wang, Yue Hu, Yue Hu, Yue Hu, Xin-Hui Li, Xin-Hui Li, Xin-Hui Li, Yu-Rong Qian, Yu-Rong Qian, Yu-Rong Qian, Chao-Lin Song, Chao-Lin Song, Chao-Lin Song

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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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Impact of Initial Heart Rate, Diastolic Pressure, and Pulse Pressure on Prognostic Outcomes in Heart Failure Patients with Mildly Reduced Ejection Fraction by Hu H, Liu Z, Zeng J, Jiang M

“…The ≤ 77 bpm group was further divided by pulse pressure (≤ 37 mmHg and > 37 mmHg), and the > 77 bpm group by diastolic pressure (≤ 63 mmHg, 63– 100 mmHg, and > 100 mmHg). …”
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The extension of the largest generalized-eigenvalue based distance metric ) in arbitrary feature spaces to classify composite data points by Mosaab Daoud

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Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105 by Anindya Guria, Banibrata Mukhopadhyay

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Outcomes of Type I Tympanoplasty using a Cartilage Shield Graft by Murad Ghazi Ahmed, Said M. Said Aljaff, Hiwa Asaad Abdulkareem

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Typology of risks of territories of advanced development by M. A. Arzumanyan, O. I. Larina, N. V. Moryzhenkova

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Üniversite Öğrencilerinin Bilgi Okuryazarlık ÖzYeterlik Algısının Karar Ağacı Analizi ile İncelenmesi by Bahar BARAN, Fiğen ATA

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ENVIRONMENTAL AND HYDRO /ECO NOMICASSESSMENT AS A TOOL FOR MANAGING WATER USE AND LIFE QUALITY OF POPULATION IN RURAL TERRITORIES OF ALTAI KRAY by Elena S. Orlova, Irina D. Rybkina

Türk Yükseköğreniminin ISCED Geniş ve Dar Alan Sınıflaması by Metin Toprak, Deniz Kolat, Mehmet Şengül, Armağan Erdoğan

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Predicting conversion of Alzheimer’s disease based on multi-modal fusion of neuroimaging and genetic data by Yang Xi, Qian Wang, Chenxue Wu, Lu Zhang, Ying Chen, Zhu Lan

“…The results showed that the classification performances of our method was better than other state-of-the-art methods, and the accuracy rate for the classification of pMCI and sMCI reached 94.37%. …”
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