Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea by Yelim Choi, Bogyeong Kang, Daekeun Kim

Subjects: “…Machine learning…”
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Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels by Chengce Yuan, Yimin Shi, Zhichen Ba, Daxin Liang, Jing Wang, Xiaorui Liu, Yabei Xu, Junreng Liu, Hongbo Xu

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SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models by Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

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Toward enhancement of antibody thermostability and affinity by computational design in the absence of antigen by Mark Hutchinson, Jeffrey A. Ruffolo, Nantaporn Haskins, Michael Iannotti, Giuliana Vozza, Tony Pham, Nurjahan Mehzabeen, Harini Shandilya, Keith Rickert, Rebecca Croasdale-Wood, Melissa Damschroder, Ying Fu, Andrew Dippel, Jeffrey J. Gray, Gilad Kaplan

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Epidemiology and Ecology of Toscana Virus Infection and Its Global Risk Distribution by Xue-Geng Hong, Mei-Qi Zhang, Fang Tang, Si-Hui Song, Jia-Yi Wang, Zhen-Yu Hu, Li-Ming Liu, Xiao-Ai Zhang, Yi Sun, Li-Qun Fang, Wei Liu

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Statistical Characteristics of Nighttime Medium‐Scale Traveling Ionospheric Disturbances From 10‐Years of Airglow Observation by the Machine Learning Method by Chang Lai, Jiyao Xu, Zhishuang Lin, Kun Wu, Donghe Zhang, Qinzeng Li, Longchang Sun, Wei Yuan, Yajun Zhu

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Generative adversarial networks based adaptive modulation and coding for next-generation 5G communication systems by A. Manikandan, Rakesh Thoppaen Suresh Babu, S Jai Ganesh, T. Sanjay

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National Exposed Sediment Search and Inventory (NESSI): Utilizing Satellite Imagery and Machine Learning to Identify Dredged Sediment Placement Site Recovery by Thomas P. Huff, Emily R. Russ, Todd M. Swannack

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Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases by Seyyed Ali Hosseini, Stijn Servaes, Brandon Hall, Sourav Bhaduri, Archith Rajan, Pedro Rosa-Neto, Steven Brem, Laurie A. Loevner, Suyash Mohan, Sanjeev Chawla

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Applications and challenges in designing VHH-based bispecific antibodies: leveraging machine learning solutions by Michael Mullin, James McClory, Winston Haynes, Justin Grace, Nathan Robertson, Gino van Heeke

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Dual-market quantitative trading: The dynamics of liquidity and turnover in financial markets by Qing Zhu, Chenyu Han, Yuze Li

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Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete by Miljan Kovačević, Marijana Hadzima-Nyarko, Predrag Petronijević, Tatijana Vasiljević, Miroslav Radomirović

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Identification and Analysis of Key Immune- and Inflammation-Related Genes in Idiopathic Pulmonary Fibrosis by Tan Y, Qian B, Ma Q, Xiang K, Wang S

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Risk factor assessment of prediabetes and diabetes based on epidemic characteristics in new urban areas: a retrospective and a machine learning study by Li Xu, Xiangcheng Sun, Ning Wang, Yiyi Wang, Yan Li, Chuan Zhang

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Gyroscope-Based Smartphone Model Identification via WaveNet and EfficientNetV2 Ensemble by Erkan Kiymik, Ali Emre Ozturk

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Portable motorized telescope system for wind turbine blades damage detection by Alejandro Carnero, Cristian Martín, Manuel Díaz

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Machine learning methods of satellite image analysis for mapping geologic landforms in Niger: A comparison of the Aïr mountains, Niger River basin and Djado Plateau by Lemenkova Polina

Subjects: “…machine learning…”
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Predicting 30-day mortality in severely injured elderly patients with trauma in Korea using machine learning algorithms: a retrospective study by Jonghee Han, Su Young Yoon, Junepill Seok, Jin Young Lee, Jin Suk Lee, Jin Bong Ye, Younghoon Sul, Se Heon Kim, Hong Rye Kim

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MSIS‐UQ: Calibrated and Enhanced NRLMSIS 2.0 Model With Uncertainty Quantification by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska, Jean Yoshii

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The role of CTGF and MFG-E8 in the prognosis assessment of SCAP: a study combining machine learning and nomogram analysis by Tingting Lin, Tingting Lin, Huimin Wan, Jie Ming, Yifei Liang, Linxin Ran, Jingjing Lu

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