The impact of precompetition state on athletic performance among track and field athletes using machine learning by Yuting Zhang, Pengyu Fu, Qi Yu, Qingmei Niu, Dongfeng Nie, Xiangya Dou, Xiaoqin Zhang

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Predicting thermodynamic stability of inorganic compounds using ensemble machine learning based on electron configuration by Hao Zou, Haochen Zhao, Mingming Lu, Jiong Wang, Zeyu Deng, Jianxin Wang

“…Abstract Machine learning offers a promising avenue for expediting the discovery of new compounds by accurately predicting their thermodynamic stability. …”
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Testing the Wind Energy Data Based on Environmental Factors Predicted by Machine Learning with Analysis of Variance by Yasemin Ayaz Atalan, Abdulkadir Atalan

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Development of a High‐Latitude Convection Model by Application of Machine Learning to SuperDARN Observations by W. A. Bristow, C. A. Topliff, M. B. Cohen

“…Abstract A new model of northern hemisphere high‐latitude convection derived using machine learning (ML) is presented. The ML algorithm random forests regression was applied to a database of velocities derived from the Super Dual Auroral Radar Network (SuperDARN) observations processed with the potential mapping technique, Map‐Potential (Ruohoniemi & Baker, 1998, https://doi.org/10.1029/98ja01288). …”
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Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts by Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Qin Guo, Jiechen Chen, Jidong Song, Xingru Qin, Wang Wei

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Soil moisture retrieval over agricultural region through machine learning and sentinel 1 observations by Deepanshu Lakra, Deepanshu Lakra, Shobhit Pipil, Prashant K. Srivastava, Suraj Kumar Singh, Manika Gupta, Rajendra Prasad

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Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment by Salah Zidi, Bechir Alaya, Tarek Moulahi, Amal Al-Shargabi, Salim El Khediri

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Machine Learning-Driven Resilient Modulus Prediction for Flexible Pavements Across Mountainous and Other Regions by Rauf Ayesha, Asif Usama, Javed Muhammad Faisal

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Enhanced Forecasting and Assessment of Urban Air Quality by an Automated Machine Learning System: The AI‐Air by Jiayu Yang, Huabing Ke, Sunling Gong, Yaqiang Wang, Lei Zhang, Chunhong Zhou, Jingyue Mo, Yan You

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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data. by Tian Xia, Lanju Zhou, Khalil Ahmad

“…The creation of a machine learning model employing data from autonomous-reliant surveillance transmissions is essential for the detection and prediction of commercial aircraft accidents. …”
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Machine learning en anestesia. Avances de hoy para la anestesia del mañana by Agustín Núñez, Samer Tawfiq, Andrés Polit

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Geospatial Forecasting of Electric Energy in Distribution Systems Using Segmentation and Machine Learning with Convolutional Methods by Héctor Chávez, Yuri Molina

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Machine Learning-Based Prediction of Ecosystem-Scale CO₂ Flux Measurements by Jeffrey Uyekawa, John Leland, Darby Bergl, Yujie Liu, Andrew D. Richardson, Benjamin Lucas

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Prediction and Analysis of PDC Bit Wear in Conglomerate Layer with Machine Learning and Finite-Element Method by Li-qiang Wang, Ming-ji Shao, Wei Zhang, Zhi-peng Xiao, Shuo Yang, Ming-he Yang

“…The numerical simulation results of the wear loss of the PDC bit cutting teeth, such as the caster angle, temperature, linear velocity, and bit pressure, as well as previous experimental research results, were combined into a training dataset. Then, machine learning methods for equal-probability gene expression programming (EP-GEP) were used. …”
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Fluid volume status detection model for patients with heart failure based on machine learning methods by Haozhe Huang, Jing Guan, Chao Feng, Jinping Feng, Ying Ao, Chen Lu

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Solar Power Generation in Smart Cities Using an Integrated Machine Learning and Statistical Analysis Methods by Ahmad Almadhor, K. Mallikarjuna, R. Rahul, G. Chandra Shekara, Rishu Bhatia, Wesam Shishah, V. Mohanavel, S. Suresh Kumar, Sojan Palukaran Thimothy

“…Therefore, the article’s goals are to estimate Mashhad, Iran’s electrical power needs using machine learning technologies and to make innovative suggestions for motivating people to generate renewable energy based on the expertise of experts. …”
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Machine learning-enhanced SERS for accurate azoospermia diagnosis via seminal plasma exosome analysis by Jiarui Wang, Shiyan Jiang, Jiaxin Shi, Jing Wang, Shengrong Du, Zufang Huang

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Assessing excavatability in varied rockmass conditions using real-time data and machine learning technique by Shafi Muhammad Pathan, Abdul Ghani Pathan, Muhammad Saad Memon

“…Future work could expand on these findings by using additional machine learning techniques and exploring non-linear models to capture complex relationships.…”
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A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted Diagnosis by Hao Feng, Wenhao Song, Ruyi Li, Linxin Yang, Xiaoxuan Chen, Jiajun Guo, Xuan Liao, Lei Ni, Zhou Zhu, Junyu Chen, Xibo Pei, Yijun Li, Jian Wang

“…This fully‐integrated sensing system, with wireless monitoring and machine learning processing, marks a significant advancement in the development of intraoral wearable sensors. …”
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Research and application of prediction model for returning home development population based on machine learning technology by DU Zhao, XIE Guocheng, CHEN Jingxuan, ZHANG Weibin

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