A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study by Øyvind Ervik, Mia Rødde, Erlend Fagertun Hofstad, Ingrid Tveten, Thomas Langø, Håkon O. Leira, Tore Amundsen, Hanne Sorger

“…The model achieved an overall classification accuracy of 59.5 ± 5.2%. The highest precision, sensitivity, and F1 score were observed in station 4L, 77.6 ± 13.1%, 77.6 ± 15.4%, and 77.6 ± 15.4%, respectively. …”
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Real-Time Multi-Task Deep Learning Model for Polyp Detection, Characterization, and Size Estimation by Phanukorn Sunthornwetchapong, Kasichon Hombubpha, Kasenee Tiankanon, Satimai Aniwan, Pasit Jakkrawankul, Natawut Nupairoj, Peerapon Vateekul, Rungsun Rerknimitr

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MOLECULAR MARKERS IN GENETIC STUDIES AND BREEDING by E. K. Khlestkina

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Automatic detection of fake reviews at marketplaces using expert-based features and consumers’ reactions by A. N. Borodulina, E. V. Mikhalkova

“…To solve the problem, a corpus of 6 288 texts from the Russian marketplaces Wildberries and Megamarket has been collected. …”
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Optimizing Parkinson’s Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple Voice Recordings via an Automated Artificial Intelligence Pipeline by Zhengxiao Yang, Hao Zhou, Sudesh Srivastav, Jeffrey G. Shaffer, Kuukua E. Abraham, Samuel M. Naandam, Samuel Kakraba

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Geospatial Modelling for Estimation of PM2.5 Concentrations in Two Megacities in Peninsular India by V. P. Lavanyaa, S. Varshini, Souvik Sankar Mitra, Kiran M. Hungund, Rudrodip Majumdar, R. Srikanth

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Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia by Radočaj Dorijan, Plaščak Ivan, Jurišić Mladen, Majić Ivana, Ozimec Siniša, Sarajlić Ankica, Rožac Vlatko

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Genetic diversity and breeding value of synthetic hexaploid wheat introduced into the VIR collection by A. G. Khakimova, N. K. Gubareva, V. А. Koshkin, O. P. Mitrofanova

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Improvement in Automated Diagnosis of Soft Tissues Tumors Using Machine Learning by El Arbi Abdellaoui Alaoui, Stéphane Cédric Koumetio Tekouabou, Sri Hartini, Zuherman Rustam, Hassan Silkan, Said Agoujil

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Plant Leaf Identification Using Feature Fusion of Wavelet Scattering Network and CNN With PCA Classifier by S. Gowthaman, Abhishek Das

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Identifying the Roadway Infrastructure Factors Affecting Road Accidents Using Interpretable Machine Learning and Data Augmentation by Jonghak Lee, Sangyoup Kim, Tae-Young Heo, Dongwoo Lee

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Application of Big Data Technology to Assessments of Female Ovarian Reserve Dysfunction by Xia Ji'An, Ma YunFei, Wu YiYun, Zhao YouLin, Ni HaoRang, Liu XinYan

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The Fruit Recognition and Evaluation Method Based on Multi-Model Collaboration by Mingzheng Huang, Dejin Chen, Dewang Feng

“…The improved YOLOv8 model improves the P, R, mAP50, and MAP50-95 indicators by 2.4%, 2.1%, 1%, and 1.3%, respectively, compared with the baseline model on only one generalized “fruit” label dataset. The classification model Swin Transformer used in this study has a classification accuracy of 92.6% on a dataset of 27 fruit categories, and the feature matching network based on cosine similarity can calibrate the classification results with low confidence. …”
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The mathematic model of lumbar spine osteochondrosis treatment decisions by N. N. Masalitina, K. S. Kurochka, E. L. Tsitko

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Converting a controlled vocabulary into an ontology: the case of GEM by Jian Qin, Stephen Paling

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Efectos de saltos inesperados en el gasto público y variables demográficas en el crecimiento económico. El caso mexicano con un enfoque GARCH con saltos (1936-2012) by Claudia Estrella Castillo-Ramírez, Francisco Venegas-Martínez, Francisco López-Herrera

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Cross-border mangrove dynamics and management in the Beibu Gulf: Long-term remote sensing observation using object-oriented deep learning by Wenna Gao, Chunyan Lu, Nuocheng Yang, Yuqi Wu, Kexin Wu, Zhangjuan Chen

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Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

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Working capacity level defines the specific impairment profile of the comprehensive ICF core set for multiple sclerosis by Daiva Valadkevičienė, Irena Žukauskaitė, Indre Bileviciute-Ljungar, Rasa Kizlaitienė, Dalius Jatužis, Virginija Danylaitė Karrenbauer

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Remote Mapping of Bedrock for Future Cosmogenic Nuclide Exposure Dating Studies in Unvisited Areas of Antarctica by Jonathan R. Adams, Philippa J. Mason, Stephen J. Roberts, Dylan H. Rood, John L. Smellie, Keir A. Nichols, John Woodward, Joanne S. Johnson

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