Diagnostics of lung cancer by fragmentated blood circulating cell-free DNA based on machine learning methods by Ivan O. Meshkov, Alexander P. Koturgin, Pavel V. Ershov, Liubov A. Safonova, Julia A. Remizova, Valentina V. Maksyutina, Ekaterina D. Maralova, Vasilisa A. Astafieva, Alexey A. Ivashechkin, Boris D. Ignatiev, Antonida V. Makhotenko, Ekaterina A. Snigir, Valentin V. Makarov, Vladimir S. Yudin, Anton A. Keskinov, Sergey M. Yudin, Anna S. Makarova, Veronika I. Skvortsova

Subjects: “…machine learning methods…”
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Structural bioinformatics for rational drug design by Soroush Mozaffari, Agnethe Moen, Che Yee Ng, Gerry A.F. Nicolaes, Kanin Wichapong

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Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data by Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, Mostafa Bousbaa, Karima Nifa, Bouchra Bargam, Abdelghani Chehbouni

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The triglyceride–glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with... by Chenyang Li, Zixi Zhang, Xiaoqin Luo, Yichao Xiao, Tao Tu, Chan Liu, Qiming Liu, Cancan Wang, Yongguo Dai, Zeying Zhang, Cheng Zheng, Jiafeng Lin

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Strength prediction of ECC-CES columns under eccentric compression using adaptive sampling and ML techniques by Khaled Megahed

Subjects: “…Machine learning…”
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Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks by Xiaoying Tang, Zhiqiang Li, Lang Zeng, Hongwei Zhou, Xiaoxu Cheng, Zhenjie Yao

Subjects: “…Machine learning…”
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Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups by A. N. Kazinets

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Survey of Artificial Intelligence Model Marketplace by Mian Qian, Abubakar Ahmad Musa, Milon Biswas, Yifan Guo, Weixian Liao, Wei Yu

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Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks by Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, MooHyun Kim

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Advanced In Vitro Models for Preclinical Drug Safety: Recent Progress and Prospects by Dileep G. Nair, Ralf Weiskirchen

Subjects: “…artificial intelligence and machine learning…”
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An Approach to Fall Detection Using Statistical Distributions of Thermal Signatures Obtained by a Stand-Alone Low-Resolution IR Array Sensor Device by Nishat Tasnim Newaz, Eisuke Hanada

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Predicting penetration depth in ultra-high-performance concrete targets under ballistic impact: An interpretable machine learning approach augmented by deep generative adversarial... by Majid Khan, Muhammad Faisal Javed, Nashwan Adnan Othman, Sardar Kashif Ur Rehman, Furqan Ahmad

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Cypress Copilot: Development of an AI Assistant for Boosting Productivity and Transforming Web Application Testing by Suresh Babu Nettur, Shanthi Karpurapu, Unnati Nettur, Likhit Sagar Gajja

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Ionospheric Response to the 24–27 February 2023 Solar Flare and Geomagnetic Storms Over the European Region Using a Machine Learning–Based Tomographic Technique by Ting Li, Dunyong Zheng, Changyong He, Fei Ye, Pengfei Yuan, Yibin Yao, Mengguang Liao, Jian Xie

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Integrated RNA sequencing analysis and machine learning identifies a metabolism-related prognostic signature in clear cell renal cell carcinoma by Yunxun Liu, Zhiwei Yan, Cheng Liu, Rui Yang, Qingyuan Zheng, Jun Jian, Minghui Wang, Lei Wang, Xiaodong Weng, Zhiyuan Chen, Xiuheng Liu

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Deep Learning of Temperature – Dependent Stress – Strain Hardening Curves by Nikolić, Filip, Čanađija, Marko

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Machine learning methods (tokenization) in marketing research by E. V. Ganebnykh, N. K. Savelieva, A. A. Sozinova, O. V. Fokina, I. G. Altsybeeva

Subjects: “…machine learning…”
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An Approach for Detecting Parkinson’s Disease by Integrating Optimal Feature Selection Strategies with Dense Multiscale Sample Entropy by Minh Tai Pham Nguyen, Minh Khue Phan Tran, Tadashi Nakano, Thi Hong Tran, Quoc Duy Nam Nguyen

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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

Subjects: “…physics-guided machine learning…”
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A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance by Aakanksha Dayal, Ziaullah Khan, Kiramat Ullah, Hee-Cheol Kim

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