A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome by Md. Shaheenur Islam Sumon, Md Sakib Abrar Hossain, Haya Al-Sulaiti, Hadi M. Yassine, Muhammad E. H. Chowdhury

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Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins by Pradeep Kumar Yadalam, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, Carlos M. Ardila

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Addressing temperature challenges in machining: Deep-eutectic metalworking fluids and their influence on surface integrity by Erik Abbá, Alistair Speidel, Zhirong Liao, Donka Novovic, Dragos Axinte

Subjects: “…Machining…”
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Unveiling farmers’ perceptions: a citizen science and machine learning approach to exploring drivers in the adequacy and fairness of water systems by Vasilios Plakandaras, Fahad Khan Khadim, Vassiliki Kazana, Emmanouil Anagnostou, Amvrossios C Bagtzoglou

Subjects: “…machine learning…”
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Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis by Shahd M. Noman, Youssef M. Fadel, Mayar T. Henedak, Nada A. Attia, Malak Essam, Sarah Elmaasarawii, Fayrouz A. Fouad, Esraa G. Eltasawi, Walid Al-Atabany

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RETRACTED ARTICLE: Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients by Xiliang Zhang, Hanjie Guo, Xiaolong Li, Wei Tao, Xiaoqing Ma, Yuxing Zhang, Weidong Xiao

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Application of SMOTE in Sentiment Analysis of MyXL User Reviews on Google Play Store by Badriyah, Totok Chamidy, Suhartono

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Artificial Intelligence Transforming Post-Translational Modification Research by Doo Nam Kim, Tianzhixi Yin, Tong Zhang, Alexandria K. Im, John R. Cort, Jordan C. Rozum, David Pollock, Wei-Jun Qian, Song Feng

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Inference of Wildfire Causes From Their Physical, Biological, Social and Management Attributes by Yavar Pourmohamad, John T. Abatzoglou, Erica Fleishman, Karen C. Short, Jacquelyn Shuman, Amir AghaKouchak, Matthew Williamson, Seyd Teymoor Seydi, Mojtaba Sadegh

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Dueling Network Architecture for GNN in the Deep Reinforcement Learning for the Automated ICT System Design by Tianchen Zhou, Yutaka Yakuwa, Natsuki Okamura, Hiroyuki Hochigai, Takayuki Kuroda, Ikuko Eguchi Yairi

Subjects: “…Machine learning…”
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Effortless alkalinity analysis using AI and smartphone technology, no equipment needed, from freshwater to saltwater by Zachary Y. Han, Zihan Zheng, Alan Y. Han, Huichun Zhang

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Addressing Missing Data in Slope Displacement Monitoring: Comparative Analysis of Advanced Imputation Methods by Seungjoo Lee, Yongjin Kim, Bongjun Ji, Yongseong Kim

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Machine Learning and Multi-Omics Integration to Reveal Biomarkers and Microbial Community Assembly Differences in Abnormal Stacking Fermentation of Sauce-Flavor <i>Baijiu</i> by Shuai Li, Yueran Han, Ming Yan, Shuyi Qiu, Jun Lu

Subjects: “…machine learning…”
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Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources by Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar

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Machine learning in medicine: what clinicians should know by Jordan Zheng Ting Sim, Qi Wei Fong, Weimin Huang, Cher Heng Tan

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Spatial interactivity. Sensoriality and design of digital data in the space by Giorgio Dall’Osso, Martina D’Alessandro, Valeria Melappioni

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Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning by Ryan Eusebi, Hui Su, Longtao Wu, Pingping Rong, Karthik Balaguru, Ruby Leung, Yong-Sang Choi, Pak Wai Chan, Jianping Gan, Mark DeMaria, Galina Chirokova

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Discretization of a mathematical model for image analysis based on the optics of spiral beams by S.A. Kishkin, S.P. Kotova

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Recognition model for major depressive disorder in Arabic user-generated content by Esraa M. Rabie, Atef F. Hashem, Fahad Kamal Alsheref

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Prediction of Cisplatin‐Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information by Kaori Ambe, Yuka Aoki, Miho Murashima, Chiharu Wachino, Yuto Deki, Masaya Ieda, Masahiro Kondo, Yoko Furukawa‐Hibi, Kazunori Kimura, Takayuki Hamano, Masahiro Tohkin

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