A Generic Approach towards Amharic Sign Language Recognition by Netsanet Yigzaw, Million Meshesha, Chala Diriba

“…More high-quality training datasets and high-performance training machines, such as GPU-enabled computers, can be added to the system to improve it.…”
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General practice database on mortality in adults on methylphenidate: cohort study by Bruno Stricker, Katia Verhamme, Kiki Cheung

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Advanced Defect Detection on Curved Aeronautical Surfaces Through Infrared Imaging and Deep Learning by Leith Bounenni, Mohamed Arbane, Clemente Ibarra-Castanedo, Yacine Yaddaden, Sreedhar Unnikrishnakurup, Andrew Ngo Chun Yong, Xavier Maldague

“…The proposed model was rigorously tested on both a simulation dataset and an experimental dataset, demonstrating its robustness and effectiveness in accurately identifying and assessing defects on aerospace surfaces. …”
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Determination of the area index of lettuce leaves with a monocular camera by Laimonas Kairiūkštis, Başak Yalçıner, Emre Özkul

“…For the size estimation approach, a dataset containing HSV-calculated max area pixel index values of lettuce plants grown from 1 to 7 weeks has been used. …”
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Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification by Masoud Muhammed Hassan, Halbast Rashid Ismail

“…The performance of the proposed models was evaluated on two benchmark datasets, namely APTOS 2019 and Messidor-2. Experimental findings demonstrated that the proposed models surpassed other state-of-the-art models, achieving a test accuracy of 94.70 % and 77.00 % for CNN, 94.00 % and 86.00 % for BCNN-VI, and 93.30 % and 81.00 % for BCNN-MC-dropout on the APTOS dataset and Messidor-2 dataset, respectively. …”
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Biomedical named entity recognition using improved green anaconda-assisted Bi-GRU-based hierarchical ResNet model by Ram Chandra Bhushan, Rakesh Kumar Donthi, Yojitha Chilukuri, Ulligaddala Srinivasarao, Polisetty Swetha

“…After the model was tested using the MACCROBAT dataset, it outperformed previous models with a tremendous accuracy rate of 99.11%. …”
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A Hybrid Framework for Detection and Analysis of Leaf Blight Using Guava Leaves Imaging by Sidrah Mumtaz, Mudassar Raza, Ofonime Dominic Okon, Saeed Ur Rehman, Adham E. Ragab, Hafiz Tayyab Rauf

“…The proposed model contains thirty-three layers. We used a guava dataset for early recognition of leaf blight, which consists of two classes. …”
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The Lomax-Claim Model: Bivariate Extension and Applications to Financial Data by Jin Zhao, Humaira Faqiri, Zubair Ahmad, Walid Emam, M. Yusuf, A. M. Sharawy

“…For this dataset, the proposed model is compared with the Lomax, power Lomax, transmuted Lomax, and exponentiated Lomax distributions. …”
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LotusSQL: SQL Engine for High-Performance Big Data Systems by Xiaohan Li, Bowen Yu, Guanyu Feng, Haojie Wang, Wenguang Chen

“…In this work, we present LotusSQL, an engine to provide SQL support for dataset abstraction on a native backend Lotus. We employ a convenient SQL processing framework to deal with frontend jobs. …”
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Cross-Domain Person Re-Identification Based on Multi-Branch Pose-Guided Occlusion Generation by Pengnan Liu, Yanchen Wang, Yunlong Li, Deqiang Cheng, Feixiang Xu

“…Additionally, the algorithm achieved 51.6% and 41.3% on DukeMTMC-reID→Occluded-Duke, demonstrating good recognition performance on the occlusion dataset.…”
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A Machine Learning Approach for the Autonomous Identification of Hardness in Extraterrestrial Rocks from Digital Images by Shuyun Liu, Haifeng Zhao, Zihao Yuan, Liping Xiao, Chengcheng Shen, Xue Wan, Xuhai Tang, Lu Zhang

“…This research proposes a machine-learning approach to predict extraterrestrial rock hardness using morphological features. A custom dataset of 1496 rock images, including granite, limestone, basalt, and sandstone, was created. …”
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OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts by Haoyu Wang, Lijun Yun, Chenggui Yang, Mingjie Wu, Yansong Wang, Zaiqing Chen

“…To address this issue, we collected a dataset comprising 2379 walnut images from these regions, with detailed annotations for both obstructed and non-obstructed walnuts. …”
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An Improved Tree Crown Delineation Method Based on a Gradient Feature-Driven Expansion Process Using Airborne LiDAR Data by Jiaxuan Jia, Lei Zhang, Kai Yin, Uwe Sörgel

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Identification of retinol dehydrogenase 10 as a shared biomarker for metabolic dysfunction-associated steatotic liver disease and type 2 diabetes mellitus by Fangyu Li, Rui Li, Hongjun Deng

“…BackgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is an independent risk factor for type 2 diabetes mellitus (T2DM), and its early identification and intervention offer opportunities for reversing diabetes mellitus.MethodsIn this study, we identified biomarkers for the MASLD dataset (GSE33814, GSE48452) and the T2DM dataset (GSE76895 and GSE89120) by bioinformatics analysis. …”
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A Deep-Learning Approach to a Volumetric Radio Environment Map Construction for UAV-Assisted Networks by Bethelhem S. Shawel, Dereje H. Woldegebreal, Sofie Pollin

“…We developed the Addis dataset, a large REM dataset comprising 54,000 samples collected from the urban part of Addis Ababa, Ethiopia, to train the proposed models. …”
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Impact of Land-Use Change on Atmospheric Environment Using Refined Land Surface Properties in the Pearl River Delta, China by Anqi Lai, Yiming Liu, Xiaoyang Chen, Ming Chang, Qi Fan, Pakwai Chan, Xuemei Wang, Jianing Dai

“…We replaced the outdated land-use of the Weather Research and Forecasting-Chemistry (WRF-Chem) model with a refined dataset, the Global Land Cover 2009 (GLC2009) dataset, to investigate the impact of land-use change on the regional atmospheric environment in the Pearl River Delta (PRD) region. …”
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Taxonomic Blind Spots: A Limitation of Environmental DNA Metabarcoding‐Based Detection for Canadian Freshwater Fishes by Kevin C. Morey, Erika Myler, Robert Hanner, Gerald Tetreault

“…The compiled dataset consists of species lists generated by eDNA surveys, paired conventional surveys, and historical records. …”
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Deep Learning Architecture to Infer Kennedy Classification of Partially Edentulous Arches Using Object Detection Techniques and Piecewise Annotations by Zohaib Khurshid, MRes, FDTFEd, FHEA, Maria Waqas, PhD, Shehzad Hasan, PhD, Shakeel Kazmi, PhD, Muhammad Faheemuddin, FCPS

“…Methods: An orthopantomography dataset has been used to train several models employing various object detection architectures, hyperparameters, and training techniques. …”
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PMDNet: An Improved Object Detection Model for Wheat Field Weed by Zhengyuan Qi, Jun Wang

“…Based on this dataset, PMDNet, an improved object detection model built upon the YOLOv8 architecture, was introduced and optimized for wheat field weed detection tasks. …”
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Safety Effects of Horizontal Curve Design and Lane and Shoulder Width on Single Motorcycle Accidents in Norway by Sara Kvasnes, Petr Pokorny, Jan Kristian Jensen, Kelly Pitera

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