Predict Diabetes Using Voting Classifier and Hyper Tuning Technique by Chra Ali Kamal, Manal Ali Atiyah

“…The Pima Indian Diabetes Dataset (PIDD) was utilized for this framework as it is common and appropriate dataset in .CSV format. …”
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A Deep Learning-Based Approach for Precise Emotion Recognition in Domestic Animals Using EfficientNetB5 Architecture by Rashadul Islam Sumon, Haider Ali, Salma Akter, Shah Muhammad Imtiyaj Uddin, Md Ariful Islam Mozumder, Hee-Cheol Kim

“…The dataset will be enlarged, model performance will be enhanced for more species, and real-time capabilities will be developed for real-world implementation.…”
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Comparative Analysis of Travel Patterns from Cellular Network Data and an Urban Travel Demand Model by Nils Breyer, Clas Rydergren, David Gundlegård

“…To find out which types of trips can be extracted, we use a small-scale cellular network dataset collected from 20 mobile phones together with GPS tracks collected on the same device. …”
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Modeling the gameplay actions of elite volleyball players and teams based on statistical match reports by Sergii Iermakov, Tetiana Yermakova, Krzysztof Prusik

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Mobile Integrated Healthcare: Preliminary Experience and Impact Analysis with a Medicare Advantage Population by Daniel J. Castillo, J. Brent Myers, Jonathan Mocko, Eric H. Beck

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Physical health and ecological momentary assessments during COVID-19: Data from the ‘Corona Health’ app usersZenodo by Johannes Allgaier, Felizitas Eichner, Stefan Störk, Peter Heuschmann, Rüdiger Pryss

“…The dataset published in this work is derived from the ‘Corona Health’ app, developed in collaboration with the German Robert Koch Institute (RKI) during the early stages of the COVID-19 pandemic. …”
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Relationships between physical fitness and match running demands during a futsal congested-weeks training camp by Francisco González-Fernández, Halil Ceylan, Rui Miguel Silva, Filipe Clemente, Pedro Bezerra, Yung-Sheng Chen

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Flood hazard simulation and mapping using digital elevation models with different resolutions by G.R. Puno, R.C.C. Puno, I.V. Maghuyop

“…The models’ validity and accuracy were tested using the confusion error matrix, f-measurement, and the root means square error statistics.FINDINGS: Results show that using the light detection and ranging dataset, the model is accurate at 88%, 0.61, and 0.41; while using the interferometric synthetic aperture radar dataset, the model is accurate at 76%, 0.34, 0.53; for the error matrix, f-measurement, and root mean square error; respectively.CONCLUSION: The model developed using the light detection and ranging dataset showed higher accuracy than the model developed using the interferometric synthetic aperture radar. …”
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Lip-Reading Classification of Turkish Digits Using Ensemble Learning Architecture Based on 3DCNN by Ali Erbey, Necaattin Barışçı

“…The dataset has divided into two subsets: the face region and the lip region. …”
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Deriving and validating a risk prediction model for long COVID-19: protocol for an observational cohort study using linked Scottish data by Jennifer K Quint, Aziz Sheikh, Chris Robertson, Srinivasa Vittal Katikireddi, Emily Moore, Colin R Simpson, Luke Daines, Eleftheria Vasileiou, Syed Ahmar Shah, Rachel H Mulholland, Vicky Hammersley, Steven Kerr, Ting Shi, David Weatherill, Elisa Pesenti

“…In this protocol, we describe plans to develop a prediction model to identify individuals at risk of developing long-COVID.Methods and analysis We will use the national Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II) platform, a population-level linked dataset of routine electronic healthcare data from 5.4 million individuals in Scotland. …”
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Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…Penelitian ini mengusulkan arsitektur sederhana Convolutional Neural Network (CNN) untuk meningkatkan efisiensi klasifikasi emosi pada dataset kecil. Dataset yang digunakan adalah Jaffe, yang terdiri dari 213 citra berukuran 256x256 piksel dalam tujuh kategori ekspresi. …”
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Cohort profile: Born in Wales—a birth cohort with maternity, parental and child data linkage for life course research in Wales, UK by Amrita Bandyopadhyay, Sarah Davies, Michaela James, Sinead Brophy, Sam Dredge, Hope Jones, Mike J Seaborne, Natasha L Kennedy, Adele Battaglia

“…Purpose Using Wales’s national dataset for maternity and births as a core dataset, we have linked related datasets to create a more complete and comprehensive entire country birth cohort. …”
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Rural-urban disparity in uptaking skilled antenatal care visits by pregnant women in Bangladesh: Zero and One Inflated Poisson regression model. by Lubana Tanvia, M Ershadul Haque, Wasimul Bari

“…For checking the existence of concurrent inflation at zero and one in the pooled dataset, partial score test has been performed. Based on the results of score test, Zero and One Inflated Poisson regression model has been fitted to the pooled dataset, where an interaction term between area of residence and survey year has been considered for trend analysis.…”
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…However, most publicly available medical datasets are in English, with limited resources in other languages. …”
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Radiomics prediction of MGMT promoter methylation in adult diffuse gliomas: a combination of structural MRI, DCE, and DTI by Yuying Liu, Yuying Liu, Zhengyang Zhu, Jianan Zhou, Han Wang, Huiquan Yang, Jinfeng Yin, Yitong Wang, Xin Li, Futao Chen, Qian Li, Zhuoru Jiang, Xi Wu, Danni Ge, Yi Zhang, Xin Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang

“…The test dataset included 22 patients (mean age 50.64 ± 12.58, 12 females). …”
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Mean Empirical Likelihood Inference for Response Mean with Data Missing at Random by Hanji He, Guangming Deng

“…The finite sample performance of the proposed estimators is presented through simulation, and an application to the Boston Housing dataset is shown.…”
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Analysis of a Single Species Model with Dissymmetric Bidirectional Impulsive Diffusion and Dispersal Delay by Haiyun Wan, Long Zhang, Zhidong Teng

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Utilization of Artificial Intelligence for the automated recognition of fine arts. by Ruhua Chen, Mohammad Reza Ghavidel Aghdam, Mohammad Khishe

“…Experimental validation on a benchmark dataset highlights the efficacy of our method, indicating substantial contributions to the interdisciplinary field of fine art analysis.…”
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An SIR epidemic model with vaccination in a patchy environment by Qianqian Cui, Zhipeng Qiu, Ling Ding

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Dynamic Instability of MRE Embedded Soft Cored Sandwich Beam with Non-Conductive Skins by S.K. Dwivedy, M. Srinivas

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