A Line Feature-Based Rotation Invariant Method for Pre- and Post-Damage Remote Sensing Image Registration by Yalun Zhao, Derong Chen, Jiulu Gong

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Field-scale detection of Bacterial Leaf Blight in rice based on UAV multispectral imaging and deep learning frameworks. by Guntaga Logavitool, Teerayut Horanont, Aakash Thapa, Kritchayan Intarat, Kanok-On Wuttiwong

“…Due to the lack of suitable UAV-based datasets for rice disease, we generate our own dataset through disease inoculation techniques in experimental paddy fields. …”
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Effects of time‐restricted feeding and meal timing on an 8‐week fat oxidation exercise training program—A randomized controlled trial by Florian Hofstätter, Martin Niedermeier, Linda K. Rausch, Martin Kopp, Lydia Simpson, Justin S. Lawley

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Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors by Seo Janghoon, Park Jung Yoon, Ma Juhwan, Kim Young Bu, Park Dong-Woo

“…Various numbers of Flettner rotors, arrangements, and spin ratios are employed to consider these effects in the dataset. For the training of deep learning models, a dataset of aerodynamic force coefficients and flow fields is generated using Computational Fluid Dynamics (CFD). …”
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Epithelial and immune transcriptomic characteristics and possible regulatory mechanisms in asthma exacerbation: insights from integrated studies by Ye Liu, Yue Li, Ruhao Wu, Yu Wang, Pengfei Li, Tianci Jiang, Ke Wang, Yize Liu, Zhe Cheng

“…This study was aimed at gaining important new insights into the heterogeneity of epithelial and immune cells and elucidating key regulatory genes involved in the pathogenesis of asthma exacerbation.MethodsFunctional enrichment, pseudotime, metabolism and cell-cell communication analyses of epithelial cells and immune cells in single-cell RNA sequencing (scRNA-seq) dataset were applied. Immune infiltration analysis was performed in bulk RNA sequencing (bulk RNA-seq) dataset. …”
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Development of Downscaled Climate Projections: A Case Study of the Red River Basin, South-Central U.S. by Darrian Bertrand, Renee A. McPherson

“…The dataset was created using two quantile mapping techniques to downscale the CCSM4, MPI-ESM-LR, and MIROC5 model outputs to a 0.1-degree spatial resolution. …”
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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…We trained and tested the AI system on a large dataset, assessed generalizability on publicly available data, and evaluated radiologist and non-radiologist physician accuracy when unaided and aided by the AI system. …”
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A Driver Behavior Detection Model for Human-Machine Co-Driving Systems Based on an Improved Swin Transformer by Junhua Cui, Yunxing Chen, Zhao Wu, Huawei Wu, Wanghao Wu

“…Then, the image preprocessing of the public State Farm dataset and expansion of the original image dataset is carried out. …”
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Transformer-Based Multi-Player Tracking and Skill Recognition Framework for Volleyball Analytics by Lei Jiang, Zhihong Yang, Lei Gang

“…Results demonstrate that our model achieves superior performance, with an IDF1 score of 72.6, MOTA of 94.8, and HOTA of 73.7, outperforming state-of-the-art models such as TransTrack and ByteTrack on the SportsMOT dataset. In terms of action recognition, our Volleyball Skill Analytics Network (VSAN) model outperforms existing methods, achieving an individual action mAP of 85.5% and a group action mAP of 90.7% on the Volleyball dataset, demonstrating its efficacy in accurately identifying and classifying volleyball maneuvers.…”
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Classification of Stages 1,2,3 and Preplus, Plus disease of ROP using MultiCNN_LSTM classifier by Ranjana Agrawal, Sucheta Kulkarni, Madan Deshpande, Anita Gaikwad, Rahee Walambe, Ketan V. Kotecha

“…We are developing an explainable automated ROP screening system for the HVDROPDB datasets. The fundus images were classified as without stage (Normal)/with Stage (ROP) by segmenting the ridge. …”
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Chronotypes in Patients with Epilepsy: Does the Type of Epilepsy Make a Difference? by Hallie Kendis, Kelly Baron, Stephan U. Schuele, Bhavita Patel, Hrayr Attarian

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Automatic Aortic Valve Extraction Using Deep Learning with Contrast-Enhanced Cardiac CT Images by Soichiro Inomata, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa, Hiroyuki Sugimori

“…Materials and Methods: A dataset of 32 contrast-enhanced cardiac CT scans was analyzed. …”
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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

“…Finally, the private dataset and PLAID dataset are tested, and the example results show that the proposed method has high recognition accuracy and good generalization performance in different operational scenarios.…”
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Novel Pattern of Iron Deposition in the Fascicula Nigrale in Patients with Parkinson’s Disease: A Pilot Study by Miriam E. Peckham, Khashayar Dashtipour, Barbara A. Holshouser, Camellia Kani, Alex Boscanin, Kayvan Kani, Sheri L. Harder

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A new dimensionality reduction technique based on the Wavelet Transform for cancer classification by Lisardo Fernández, Mariano Pérez, Juan M. Orduña, José M. Alcaraz

“…We have evaluated the proposed technique with a dataset collected from the most important cancer databases according to their social impact, and we have compared our proposal to five well-known dimensionality reduction techniques: PCA, ReliefF, Isomap, LLE and UMAP. …”
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A Novel MoCo-Based Self-Supervised Learning Framework for Solar Panel Defect Detection by Jun Huang, Shamsul Arrieya Ariffin, Yongqiang Chen, Jinghui Lin, Wanting Xu

“…Additionally, our model achieved 99.44% accuracy on the EL dataset, underscoring its adaptability and robustness across different environments. …”
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Tailoring transfusion strategy using thromboelastogram in goal-directed massive transfusion: Impact on transfusion requirements and clinical outcomes by P. A. Prethika, Ganesh Mohan, Shamee Shastry, Jayaraj Mymbilly Balakrishnan

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Development of CNN-Based Semantic Segmentation Algorithm for Crop Classification of Korean Major Upland Crops Using NIA AI HUB by Dong-Wook Kim, Gyujin Jang, Hak-Jin Kim

“…This study developed a modified U-Net architecture for semantic segmentation, utilizing UAV-based high-resolution imagery in the open-source NIA AI HUB dataset. The dataset includes labeled RGB images of six winter crops—white radish, cabbage, onion, garlic, broccoli, and carrot—grown on Jeju Island, a key agricultural hub. …”
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Psychoeducational Characteristics of Children with Hypohidrotic Ectodermal Dysplasia by Rolanda A. Maxim, Samuel H. Zinner, Hisako Matsuo, Theresa M. Prosser, Mary Fete, Terry L. Leet, Timothy J. Fete

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Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network by Ankit Kandpal, Rakesh Kumar Gupta, Anup Singh

“…Its performance is assessed using the ISLES-2018 challenge dataset, a widely recognized dataset for stroke segmentation in CT images. …”
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