Nanodiamond quantum thermometry assisted with machine learning by Kouki Yamamoto, Kensuke Ogawa, Moeta Tsukamoto, Yuto Ashida, Kento Sasaki, Kensuke Kobayashi

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Optimization of dried garlic physicochemical properties using a self-organizing map and the development of an artificial intelligence prediction model by Hany S. El-Mesery, Mohamed Qenawy, Mona Ali, Merit Rostom, Ahmed Elbeltagi, Ali Salem, Abdallah Elshawadfy Elwakeel

Subjects: “…Machine learning…”
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Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides by Heqian Zhang, Yihan Wang, Yanran Zhu, Pengtao Huang, Qiandi Gao, Xiaojie Li, Zhaoying Chen, Yu Liu, Jiakun Jiang, Yuan Gao, Jiaquan Huang, Zhiwei Qin

Subjects: “…Machine learning…”
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Identification of Taihang-chicken-specific genetic markers using genome-wide SNPs and machine learning by Fu Wei, Zhang Ran, Ding Hong, Wang Wenjun, Liu Huage, Zang Sumin, Zhou Rongyan

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Energy-aware feature and classifier for behaviour recognition of laying hens in an aviary system by X. Yang, Q. Hu, L. Nie, C. Wang

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A risk signature constructed by Tregs-related genes predict the clinical outcomes and immune therapeutic response in kidney cancer by Gang Li, Jingmin Cui, Tao Li, Wenhan Li, Peilin Chen

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Editorial: Next generation of omics analysis to study lipid-rich tissues by Isabella Piga, Tatjana Sajic, Tatjana Sajic

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Prediction of Metal Ion Binding Sites in Proteins from Amino Acid Sequences by Using Simplified Amino Acid Alphabets and Random Forest Model by Suresh Kumar

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Predictive Analytics in Construction: Multi-Output Machine Learning Models for Abrasion Resistance by Shaheen Mohammed Saleh Ahmed, Hakan Güneyli, Süleyman Karahan

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A density clustering-based network performance failure big data analysis algorithm by Xiang LI, Yuan LI, Zifei ZHANG, Zhe YANG

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Grazing regime rather than grazing intensity affect the foraging behavior of cattle by You Wang, Rui Yu, Xin Li, Ronghao Chen, Jiahui Liu

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Lunar Calendar Usage to Improve Forecasting Accuracy Rainfall via Machine Learning Methods by Gumgum Darmawan, Gatot Riwi Setyanto, Defi Yusti Faidah, Budhi Handoko

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Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study by Qi Huang, Xiantong Zou, Zhouhui Lian, Xianghai Zhou, Xueyao Han, Yingying Luo, Shuohua Chen, Yanxiu Wang, Shouling Wu, Linong Ji

Subjects: “…Machine learning…”
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Modeling the Dynamic Global Distribution of the Ring Current Oxygen Ions Using Artificial Neural Network Technique by Qiushuo Wang, Chao Yue, Jinxing Li, Jacob Bortnik, Donglai Ma, Chae‐Woo Jun

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Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study by Marenao Tanaka, Yukinori Akiyama, Kazuma Mori, Itaru Hosaka, Keisuke Endo, Toshifumi Ogawa, Tatsuya Sato, Toru Suzuki, Toshiyuki Yano, Hirofumi Ohnishi, Nagisa Hanawa, Masato Furuhashi

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Machine learning-assisted development of gas separation membranes: A review by An Li, Jianchun Chu, Shaoxuan Huang, Yongqi Liu, Maogang He, Xiangyang Liu

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BIPE: A Bi-Layer Predictive Ensemble Framework for Forest Fire Susceptibility Mapping in Germany by Ling Hu, Volker Hochschild, Harald Neidhardt, Michael Schultz, Pegah Khosravani, Hadi Shokati

Subjects: “…machine learning…”
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Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients by Nuttinan Nalinthasnai, Ratchainant Thammasudjarit, Tanapat Tassaneyasin, Dararat Eksombatchai, Somnuek Sungkanuparph, Viboon Boonsarngsuk, Yuda Sutherasan, Detajin Junhasavasdikul, Pongdhep Theerawit, Tananchai Petnak

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PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts by Jordi Armengol-Estapé, Felipe Soares, Montserrat Marimon, Martin Krallinger

Subjects: “…machine learning…”
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Regularized manifold information extreme learning machine by De-shan LIU, Yong-he CHU, De-qin YAN

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