Diabetes Risk Assessment: A Comparative Study of Decision Trees and Ensemble Learning Models by Lei Tianxing

“…The study’s experimental results demonstrate that applying Principal Component Analysis (PCA) to preprocess the data, followed by training a Random Forest (RF) model with 80% of the dataset, achieves an impressive accuracy of 89.86%. …”
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An Event Causality Identification Framework Using Ensemble Learning by Xiaoyang Wang, Wenjie Luo, Xiudan Yang

“…After comparing our framework to standard datasets, our F1-scores (measures of model accuracy) are essentially the same as those of the state-of-the-art (SOTA) methods on one dataset.…”
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Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham. by Matthew Leming, Sudeshna Das, Hyungsoon Im

“…We trained MUCRAN using 17,076 clinical T1 Axial brain MRIs collected from Massachusetts General Hospital before 2019 and demonstrated that MUCRAN could successfully regress major confounding factors in the vast clinical dataset. We also applied a method for quantifying uncertainty across an ensemble of these models to automatically exclude out-of-distribution data in AD detection. …”
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Measurements of Soil Surface Roughness During the Fourth Microwave Water and Energy Balance Experiment: April 18 through June 13, 2005 by Mi-joung Jang, Kai-Jen Calvin Tien, Joaquin Casanova, Jasmeet Judge

“…We conducted soil surface roughness measurements as part of our fourth Microwave Water and Energy Balance Experiment (MicroWEX-4) to understand the effects of surface roughness on microwave signatures at 6.7 GHz (λ = 4.48 cm). The dataset will also be used to develop and validate surface roughness models. …”
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Corresponding keypoint constrained sparse representation three‐dimensional ear recognition via one sample per person by Qinping Zhu, Zhichun Mu, Li Yuan

“…The experimental results conducted on the University of Notre Dame Collection J2 dataset yielded a rank‐1 recognition rate of 98.84%; furthermore, the time for one identification operation shared by each gallery subject was 0.047 ms.…”
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Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems by G. M. Behery, A. A. El-Harby, Mostafa Y. El-Bakry

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Decentralized Reinforcement Learning Approach for Microgrid Energy Management in Stochastic Environment by Razieh Darshi, Saeed Shamaghdari, Aliakbar Jalali, Hamidreza Arasteh

“…Simulation studies using a real dataset demonstrate the effectiveness of the proposed method for the hourly energy management of microgrids.…”
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Serum adiponectin levels in patients with rheumatoid arthritis by Ganesh Veluri, Kiranmayi S Vinapamula, P VLN Srinivasa Rao, Sirisha Kommireddy, Suchitra Musturu Manohar, Pullaiah Pasupuleti

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Communication-Based Book Recommendation in Computational Social Systems by Long Zuo, Shuo Xiong, Xin Qi, Zheng Wen, Yiwen Tang

“…Finally, the improved algorithm in this paper is tested on the online reading website dataset. The experimental results show that the enhanced collaborative filtering algorithm performs better than the traditional algorithm.…”
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Abnormal Levels of Serum Ferroptosis-Related Biomarkers in Diabetic Retinopathy by Lin Mu, Dahu Wang, Zhiguo Dong, Jiajun Wu, Xiaoyu Wu, Jing Su, Yinjian Zhang

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A tailored lectin microarray for rapid glycan profiling of therapeutic monoclonal antibodies by Shen Luo, Baolin Zhang

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An Energy-Domain IR NUC Method Based on Unsupervised Learning by Ting Li, Xuefeng Lai, Sheng Liao, Yucheng Xia

“…This method exploits the inherent physical correlation within the calibration dataset and sets the average predicted energy-domain value of the same blackbody temperature as the learning goal. …”
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PHENIX highlights: Recent results from PHENIX by Shimomura Maya

“…While PHENIX concluded data collection in 2016, the collaboration remains actively engaged in analyzing the rich dataset yielding the following three important results recently. (1) Heavy flavor (HF) with charm and bottom quark separation indicates a clear mass dependence observed in central collisions. …”
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Reliability Evaluation of Multiple DCFP System subject to Shifting Threshold by Chunping Li, Huibing Hao, Fang Xu, Guotao Zhao

“…A real numerical example about fatigue crack growth dataset is carried out to demonstrate the proposed procedure. …”
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Quartic Rational Said-Ball-Like Basis with Tension Shape Parameters and Its Application by Yuanpeng Zhu, Xuli Han, Shengjun Liu

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Paired-Pulse Inhibition in the Auditory Cortex in Parkinson's Disease and Its Dependence on Clinical Characteristics of the Patients by Elena Lukhanina, Natalia Berezetskaya, Irina Karaban

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Class-aware feature attention-based semantic segmentation on hyperspectral images. by Prabu Sevugan, Venkatesan Rudhrakoti, Tai-Hoon Kim, Megala Gunasekaran, Swarnalatha Purushotham, Ravikumar Chinthaginjala, Irfan Ahmad, Kumar A

“…Specifically, on the GaoFen image dataset, FAttNet achieves a higher mean intersection over union (MIoU) of 77.03% and a segmentation accuracy of 87.26% surpassing the performance of the existing network.…”
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Reducing Multidimensional Poverty of Elderly: The Role of the New Rural Pension Scheme in China by Yaqian Hu, Hao Han, Pei Liu

“…Applying a nationally representative survey dataset, this study mainly investigates the role of China’s New Rural Pension Scheme (NRPS) in reducing multidimensional poverty among the rural elderly. …”
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Understanding the Modifiable Areal Unit Problem and Identifying Appropriate Spatial Units while Studying the Influence of the Built Environment on the Traffic System State by Tian Li, Mengmeng Zhang, Haobin Jiang, Peng Jing

“…In the case study presented, based on the available dataset, the optimal spatial unit size for analyzing the influence of the built environment on Jinan’s traffic system was 900 m × 900 m.…”
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Shear Current Effects on Monochromatic Water Waves Crossing Trenches by Jun-Whan Lee, Koo-Yong Park, Yong-Sik Cho

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