Cardiovascular health in perspective: a comprehensive five-year geodatabase of hospitalizations and environmental factors in Mashhad, Iran by Shahab MohammadEbrahimi, Mohammad Dehghan, Behzad Kiani

“…Data description This dataset includes detailed epidemiologic and geospatial information on CVD hospitalizations in Mashhad, Iran, from January 1, 2016, to December 31, 2020. …”
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XTNSR: Xception-based transformer network for single image super resolution by Jagrati Talreja, Supavadee Aramvith, Takao Onoye

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Deteksi Tingkat Kematangan Buah Pepaya menggunakan Model Convolutional Neural Network by Naufal Putra Sutrisna, Rafifa Addin Sahirah, Khansa Salsabila Sangdiva Laksono, Raditya Atmaja Satria Permadhi, Nadhira Nurannisa, Saqina Salsabila Larasati, Wahayu Widyaning Asmani, Novanto Yudistira

“…Dalam penelitian ini, diperkenalkan pendekatan inovatif dengan menggunakan Convolutional Neural Network (CNN) untuk mengatasi permasalahan tersebut. Dataset yang digunakan merupakan dataset gambar buah pepaya dalam berbagai tingkat kematangan. …”
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Re-Calibrating Network by Refining Initial Features Through Generative Gradient Regularization by Naim Reza, Ho Yub Jung

“…The results evidenced a performance gain of 1.66% for the CIFAR dataset using WideResNet, 1.22% for the SVHN dataset using PreResNet and 0.57% for the ImageNet dataset using ResNet.…”
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Genetic association of lipid-lowering drug target genes with pancreatic cancer: a Mendelian randomization study by Bohan Su, Zhiyao Fan, Jiexi Wu, Hanxiang Zhan

“…Significant MR associations were observed in the discovery dataset (OR 1.64 [95% CI 1.24–2.16], p = 4.48*10–4) with PC in one dataset. …”
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A Local Controller for Discrete-Time Large-Scale System by Using Integral Variable Structure Control by C. H. Chai, Johari H. S. Osman

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Development of a multi-object tracking algorithm with untrained features of object matching by V.A. Gorbachev, V.F. Kalugin

“…We significantly outperform ByteTrack algorithm, one of the best tracking algorithms for the MOT Challenge dataset, on the Visdrone 2019 dataset.…”
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Historical Databases, Big and Small by Peter Doorn

“…Graph analysis is used on a dataset of just 16 data pairs, illustrating the point that a close-up view of data complements the look from farther away at bigger data volumes.…”
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Severe Irritant Contact Dermatitis Causing Skin Ulceration Secondary to a Testosterone Patch by Nathan Lawrentschuk, Neil Fleshner

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Hybrid Dielectric Resonator Antenna Composed of High-Permittivity Dielectric Resonator for Wireless Communications in WLAN and WiMAX by Yih-Chien Chen

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Harnessing fear of predators and competitors as deterrents for an invasive predator by Sze Wing Yiu, Justin P. Suraci, Grant Norbury, Patrick M. Garvey

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Closed-Form Models of Accuracy Loss due to Subsampling in SVD Collaborative Filtering by Samin Poudel, Marwan Bikdash

“…We seek to investigate whether the models depend on the characteristics of the dataset in a constant way across datasets when using the SVD collaborative filtering (CF) algorithm. …”
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WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

“…In this research study, we propose a strategy for dealing with the problems of imbalanced datasets and high dimensionality in IDSs. In our efficient and novel framework, we integrate an oversampling strategy that uses Generative Adversarial Networks (GANs) to overcome the difficulties introduced by imbalanced datasets, and we use the Random Forest (RF) importance algorithm to select a subset of features that best represent the dataset to reduce the dimensionality of a training dataset. …”
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Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

“…In this paper, we present a three-stage framework to enhance X-ray image classification using Neural Architecture Search (NAS), Transfer Learning, and Model Compression via filter pruning, specifically targeting the ChestX-Ray14 dataset. First, NAS is employed to automatically discover the optimal convolutional neural network (CNN) architecture tailored to the ChestX-Ray14 dataset, reducing the need for extensive manual tuning. …”
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Distribution of fishing grounds of longline sharks based in Ujung Serangga Fishing Base, Southwest Aceh, Aceh by Rahmah Alvi, Aprilla Ratna Mutia, Dwi Okta Rosi, Fathanah Yusuf

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Towards pen‐holding hand pose recognition: A new benchmark and a coarse‐to‐fine PHHP recognition network by Pingping Wu, Lunke Fei, Shuyi Li, Shuping Zhao, Xiaozhao Fang, Shaohua Teng

“…As an attempt to fill this gap, in this paper, a PHHP image dataset, consisting of 18,000 PHHP samples is established. …”
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Breast Cancer Prediction: A Fusion of Genetic Algorithm, Chemical Reaction Optimization, and Machine Learning Techniques by Md. Rafiqul Islam, Md. Shahidul Islam, Saikat Majumder

“…Among the compared methods published recently, our method attained the highest accuracies of 99.64% in the WBC dataset and 98% in the BCC dataset, as well as the second highest accuracy of 99.12% in the BC-UCI dataset. …”
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Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture by Bekir Eray Katı, Ecir Uğur Küçüksille, Güncel Sarıman

“…Future research should focus on testing the model on real quantum devices and applying it to larger datasets to further enhance its applicability.…”
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Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome by Aiden M. C. Pike, Saeed Amal, Melissa S. Maginnis, Michael P. Wilczek

“…This study employs a previously compiled dataset of 989 JCPyV NCCR sequences from GenBank with associated patient PML status and viral tissue source to train multilayer perceptrons for predicting missing information within the dataset. …”
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Coming of age in recovery: The prevalence and correlates of substance use recovery status among adolescents and emerging adults. by Douglas C Smith, Crystal A Reinhart, Shahana Begum, Janaka Kosgolla, John F Kelly, Brandon B Bergman, Marni Basic

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