Self-Reported Data for Sustainable Development from People Living in Rural and Remote Areas by Salem Ahmed Alabdali, Salvatore Flavio Pileggi, Gnana Bharathy

“…This paper describes a dataset for the Sustainable Development of remote and rural areas. …”
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Daily time series of 12 human thermal stress indices in Greece, aggregated at commune level (1998–2022)Zenodo by Georgios Charvalis, Michalis Koureas, Chloe Brimicombe, Chara Bogogiannidou, Fani Kalala, Varbara Mouchtouri, Christos Hadjichristodoulou

“…In this paper we present a dataset that contains daily mean, maximum and minimum values of 12 heat stress indices averaged over Greek communes from January 1998 to December 2022. …”
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Pengaruh Prediksi Missing Value pada Klasifikasi Decision Tree C4.5 by Aji Seto Arifianto, Kursita Dewi Safitri, Khafidurrohman Agustianto, I Gede Wiryawan

“…Mengukur akurasi kedua rules tree C4.5 dilakukan menguji 40 data test, hasilnya 90% untuk rule dengan missing value dan 95% untuk dataset yang telah diprediksi nilainya.   Abstract The supervised learning approach to data classification requires a complete dataset. …”
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Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials by Simin Nazari, Amira Abdelrasoul

“…Results indicate that random forest (R² = 0.8987, MSE = 0.36, MAE = 0.45) and XGBoost (R² = 0.83, MSE = 0.49, MAE = 0.49) exhibit comparable predictive performance on the training dataset. However, random forest outperforms XGBoost on the testing dataset. …”
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Long-term survival and clinical implications of allogeneic stem cell transplantation in relapse/refractory lymphoma: A 20-year Singapore experience by Wei Sheng Joshua Loke, Jean Rachel Catapia, Chay Lee Low, Francesca Lim, Jeffrey Quek, Hein Than, Yeow Tee Goh, Yeh Ching Linn, Colin Phipps Diong, Aloysius Ho, William Hwang, Chung Cheng Jordan Hwang, Aditi Ghosh, Liang Pui Koh, Lip Koon Tan, Joanne Lee, Li Mei Michelle Poon, Cheng Kiat Lawrence Ng

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A Novel Active Learning Technique for Fetal Health Classification Based on XGBoost Classifier by Kaushal Bhardwaj, Niyati Goyal, Bhavika Mittal, Vandna Sharma, Shiv Naresh Shivhare

“…The code and dataset are available on the GitHub repository <uri>https://github.com/niyg7/fetal-health-dataset</uri>.…”
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Feature Representations Using the Reflected Rectified Linear Unit (RReLU) Activation by Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao Jr.

“…We test our activation function on the standard MNIST and CIFAR-10 datasets, which are classification problems, as well as on a novel Computational Fluid Dynamics (CFD) dataset which is posed as a regression problem. …”
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DeepEye: An Automatic Big Data Visualization Framework by Xuedi Qin, Yuyu Luo, Nan Tang, Guoliang Li

“…An evolutionized system in the field faces the following three main challenges: (1) Visualization verification: to determine whether a visualization for a given dataset is interesting, from the viewpoint of human understanding; (2) Visualization search space: a "boring" dataset may become interesting after an arbitrary combination of operations such as selections, joins, and aggregations, among others; (3) On-time responses: do not deplete the user’s patience. …”
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Land Use Mapping of the Guangdong&#x2013;Hong Kong Macao Greater Bay Area Based on a New Approach at 30 m Resolution for the Years 1976 to 2020 by Yu Gu, Yangbo Chen, Jun Liu

“…The high level of accuracy achieved with the LUC-GBA dataset was evidenced by an overall accuracy (OA) of 93.9&#x0025; in 2020. …”
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Enhanced Lung Cancer Prediction via Integrated Multi‐Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning by Abigail Kawama, Ronald Waweru Mwangi, Lawrence Nderu

“…The study utilized four distinct datasets covering a range of imaging modalities and diagnostic labels: the Chest CT‐Scan dataset from Kaggle, the NSCLC‐Radiomics‐Interobserver1 dataset from TCIA, the LungCT‐Diagnosis dataset from TCIA, and the IQ‐OTH/NCCD dataset from Kaggle. …”
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Research on Feature Extracted Method for Flutter Test Based on EMD and CNN by Hua Zheng, Zhenglong Wu, Shiqiang Duan, Jiangtao Zhou

“…The CNN parameters are optimized though the training dataset, and the trained model is validated through the test dataset (i.e., cross-validation). …”
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NIGWO-iCaps NN: A Method for the Fault Diagnosis of Fiber Optic Gyroscopes Based on Capsule Neural Networks by Nan Lu, Huaqiang Zhang, Chunmei Dong, Hongtao Li, Yu Chen

“…In this paper, effectiveness experiments were carried out on the simulation dataset and real dataset, respectively; the diagnostic accuracy of the fault diagnosis method in this paper reached 99.41% on the simulation dataset; the loss value in the real dataset converged to 0.005 with the increase in the number of iterations; and the average diagnostic accuracy converged to 95.42%. …”
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A 3D semantic segmentation network for accurate neuronal soma segmentation by Li Ma, Qi Zhong, Yezi Wang, Xiaoquan Yang, Qian Du

“…It achieved an F1 score of 91.8% on Fezf2-2A-CreER dataset, 97.1% on LSL-H2B-GFP dataset, 82.8% on Thy1-EGFP-Mline dataset, and 86.9% on macaque dataset, achieving improvements over the 3D U-Net model by 3.1%, 3.3%, 3.9%, and 2.3%, respectively.…”
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A Hybrid Model through the Fusion of Type-2 Fuzzy Logic Systems and Sensitivity-Based Linear Learning Method for Modeling PVT Properties of Crude Oil Systems by Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem

“…However, the generalisation capability of SBLLM is sometimes limited depending on the nature of the dataset, particularly on whether uncertainty is present in the dataset or not. …”
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Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-Based Noninvasive Digital System by Galib Muhammad Shahriar Himel, Md. Masudul Islam, Kh. Abdullah Al-Aff, Shams Ibne Karim, Md. Kabir Uddin Sikder

“…The study utilizes the HAM10000 dataset; a publicly available dataset comprising 10,015 skin lesion images classified into two categories: benign (6705 images) and malignant (3310 images). …”
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Prediction of Postoperative Survival in Young Colorectal Cancer Patients: A Cohort Study Based on the SEER Database by Sheng Pan, Wenchao Mei, Linfei Huang, Yan’e Tao, Jing Xu, Yuelu Ruan

“…After excluding cases with missing information, the study cohort was divided in a 7 : 3 ratio into a training dataset and a validation dataset. To assess the predictive ability of each predictor on the prognosis of colorectal cancer patients, we used two steps of Cox univariate analysis and Cox stepwise regression to screen variables, and the screened variables were included in a multifactorial Cox proportional risk regression model for modeling. …”
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Compressive Strength Prediction of Stabilized Dredged Sediments Using Artificial Neural Network by Van Quan Tran

“…To perform the simulation, 51 experimental datasets were collected from the literature. The dataset consists of 4 input variables (water content, cement content, air foam content, and waste fishing net content) and output variable (compressive strength). …”
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Application of Big Data Unbalanced Classification Algorithm in Credit Risk Analysis of Insurance Companies by Xian Wu, Huan Liu

“…Propose an integrated learning model based on imbalanced dataset resampling and apply it to UCI dataset (University of California Irvine). …”
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Towards Pedestrian Target Detection with Optimized Mask R-CNN by Dong-Hao Chen, Yu-Dong Cao, Jia Yan

“…Finally, a pedestrian target dataset is established by selecting suitable pedestrian images in the COCO dataset and expanded by adding noise and median filtering. …”
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Arabic Temporal Common Sense Understanding by Reem Alqifari, Hend Al-Khalifa, Simon O’Keefe

“…In this study, an Arabic dataset was constructed based on an available English dataset. …”
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