Few-shot Remote Sensing Imagery Recognition with Compositionality Inductive Bias in Hierarchical Representation Space by Shichao Zhou, Zhuowei Wang, Zekai Zhang, Wenzheng Wang, Yingrui Zhao, Yunpu Zhang

“…Despite empirical success of existing methods such as data augmentation and knowledge transfer, no large-scale dataset can cover all possible combinations of visual parts. …”
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Inflammatory Bowel Disease in Children of Middle Eastern Descent by Christina Mai Ying Naidoo, Steven T. Leach, Andrew S. Day, Daniel A. Lemberg

“…Although there were limitations with this dataset, we estimated a higher prevalence of IBD in Middle Eastern children and they had a different disease phenotype and behavior compared to the control group, with less disease restricted to the colon and likely a more active disease course.…”
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Land Tenure Security and Sustainable Land Investment: Evidence from National Plot-Level Data in Rural China by Xiaolong Sun, Jinmin Wang, Fangping Rao

“…Drawing on the triple land tenure security framework, this paper examines the impact of the de jure and the de facto land tenure security on farming households’ decisions about using organic fertilizer on their plots in China, based on a national survey dataset covering 2308 plots matched with 962 farming households across 8 provinces in China (Shangdong, Shangxi, Jilin, Zhejiang, Henan, Gansu, Hunan, and Sichuan) from January to July 2013. …”
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Stochasticity as a solution for overfitting—A new model and comparative study on non-invasive EEG prospects by Yousef A. Radwan, Eslam Ahmed Mohamed, Donia Metwalli, Mariam Barakat, Anas Ahmed, Antony E. Kiroles, Sahar Selim

“…In this study, we evaluated the behaviors of various Machine Learning (ML) and Deep Learning (DL) models on a publicly available dataset, employing popular preprocessing methods as feature extractors to enhance model training. …”
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Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50 by Eiman Wahab, Wajeeha Shafique, Habiba Amir, Sameena Javed, Muhammad Marouf

“…Further we have conducted feature extraction and pre-processing on our self-created dataset. Our project utilizes the power of deep learning model: Residual Network (ResNet50), the form of deep neural network architectures well-suited for the job of features extraction. …”
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Out of policymaker’s sight: the role of banks’ liquidity preference in credit supply in Brazil by Fernanda Ultremare, Olívia Bullio Mattos

“…Our empirical strategy was to estimate a dynamic panel data model on a large cross-section bank-level dataset from the Brazilian Central Bank using balance sheet information from the fifty largest banks operating in the country from 1999 to 2016. …”
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Completion of the Central Italy daily precipitation instrumental data series from 1951 to 2019 by Gamal AbdElNasser Allam Abouzied, Guoqiang Tang, Simon Michael Papalexiou, Martyn P. Clark, Eleonora Aruffo, Piero Di Carlo

“…Both raw data and the final serially complete station datasets (SCDs) underwent comprehensive quality control. …”
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Frequency-Tunable Tri-Band Metamaterial-Inspired Antenna by Kyung-Duk Jang, Jae-Hyun Lee

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3D LiDAR Multi-Object Tracking Using Multi Positive Contrastive Learning and Deep Reinforcement Learning by Minho Cho, Euntai Kim

“…Our method is evaluated using the KITTI MOT dataset, demonstrating improved higher-order tracking Accuracy (HOTA) and reduced ID-switching compared to existing 3D LiDAR and camera-LiDAR fusion methods. …”
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Converting from Seepage Irrigation to Plasticulture for Vegetable Production: A Case Study by Charles E. Barrett, Lincoln Zotarelli, Lucas G. Paranhos, Mark W. Warren

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Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes by Bjørn-Richard Pedersen, Einar Holsbø, Trygve Andersen, Nikita Shvetsov, Johan Ravn, Hilde Leikny Sommerseth, Lars Ailo Bongo

“…However, using machine learning in production requires a streamlined end-to-end pipeline that scales to the dataset size and a model that achieves high accuracy with few manual transcriptions. …”
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Effect of hen age on egg quality, hatching performance and chick quality in chukar partridges (alectoris chukar) by Mustafa Cam, Mahmut Samil Samli, Zahit Kutalmis Kaya, Halil Harman, Abdullah Bilir, Kemal Kirikci

“…A total of 150 eggs per each age group were set into incubator and hatcher set. After hatching, unhatched eggs were broken to determine hatching performance and embryonic mortality. …”
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Converting from Seepage Irrigation to Plasticulture for Vegetable Production: A Case Study by Charles E. Barrett, Lincoln Zotarelli, Lucas G. Paranhos, Mark W. Warren

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Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy by Jui-En Lo, Eugene Yu-Chuan Kang, Yun-Nung Chen, Yi-Ting Hsieh, Nan-Kai Wang, Ta-Ching Chen, Kuan-Jen Chen, Wei-Chi Wu, Yih-Shiou Hwang, Fu-Sung Lo, Chi-Chun Lai

“…The Kaggle dataset, which is a publicly available dataset, was divided into training and testing Kaggle datasets. …”
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Combined Oriented Data Augmentation Method for Brain MRI Images by Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor

“…Where the classification accuracy without data augmentation was 85.19% for dataset A, 90.12% for dataset B, 94.77% for dataset C, and 90% for dataset D respectively. …”
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Gaussian Pyramid for Nonlinear Support Vector Machine by Rawan Abo Zidan, George Karraz

“…The reduce operation between dataset points and the Gaussian pyramid is reformulated to get a smoothed copy of the original dataset. …”
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Simultaneous Determination of 39 Plant Toxins in Honey by Ultra-high Performance Liquid Chromatography-Tandem Mass Spectrometry with Solid Phase Extraction by LIU Chuan, CHEN Yanqiu, LIN Hao, WANG Luyao, SHI Peiyu, LIU Rong, WANG Yi, WU Wenlin, MAO Rui, XIAO Quanwei, SONG Juan, DAI Qin

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A Multi-Source Domain Adaptation Method for Bearing Fault Diagnosis with Dynamically Similarity Guidance on Incomplete Data by Juan Tian, Shun Zhang, Gang Xie, Hui Shi

“…In actual industrial scenarios, collecting a complete dataset with all fault categories under the same conditions is challenging, leading to a loss in fault category knowledge in single-source domains. …”
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Trichromacy is insufficient for mate detection in a mimetic butterfly by Andrew Dang, Gary D. Bernard, Furong Yuan, Aide Macias-Muñoz, Ryan I. Hill, J. P. Lawrence, Aline Giselle Rangel Olguin, Armando Luis-Martínez, Sean P. Mullen, Jorge Llorente-Bousquets, Adriana D. Briscoe

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Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks by A.V. Dobshik, S.K. Verbitskiy, I.A. Pestunov, K.M. Sherman, Yu.N. Sinyavskiy, A.A. Tulupov, V.B. Berikov

“…All experiments were performed using five-fold cross-validation on the dataset containing non-contrast computed tomography volumetric brain scans of 81 patients diagnosed with acute ischemic stroke. …”
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