High‐Precision Drop‐on‐Demand Printing of Charged Droplets on Nonplanar Surfaces with Machine Learning by Shaheer Mohiuddin Khalil, Shahzaib Ali, Vu Dat Nguyen, Dae‐Hyun Cho, Doyoung Byun

“…Moreover, a predictive model for droplet deposition, exhibiting an accuracy of 87%, is developed utilizing supervised machine learning (ML). This approach significantly improves the accuracy and repeatability of droplet deposition. …”
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Lightning-induced vulnerability assessment in Bangladesh using machine learning and GIS-based approach by Tanmoy Mazumder, Md. Mustafa Saroar

“…This study investigates the lightning-induced vulnerability in Bangladesh using Geographic Information Systems (GIS) and Machine Learning (ML) techniques, addressing the limited research in this area. …”
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Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

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Identifying the determining factors of detonation properties for linear nitroaliphatics with high-throughput computation and machine learning by Wen Qian, Jing Huang, Shi-tai Guo, Bo-wen Duan, Wei-yu Xie, Jian Liu, Chao-yang Zhang

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SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

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A Comparative Review: Biological Safety and Sustainability of Metal Nanomaterials Without and with Machine Learning Assistance by Na Xiao, Yonghui Li, Peiyan Sun, Peihua Zhu, Hongyan Wang, Yin Wu, Mingyu Bai, Ansheng Li, Wuyi Ming

“…Using a dual-perspective analysis approach, it highlights the unique advantages of machine learning in data processing, predictive modeling, and optimization. …”
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Machine learning helps reveal key factors affecting tire wear particulate matter emissions by Zhenyu Jia, Jiawei Yin, Tiange Fang, Zhiwen Jiang, Chongzhi Zhong, Zeping Cao, Lin Wu, Ning Wei, Zhengyu Men, Lei Yang, Qijun Zhang, Hongjun Mao

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Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China by Bingwei Wang, Qigen Lin, Tong Jiang, Huaxiang Yin, Jian Zhou, Jinhao Sun, Dongfang Wang, Ran Dai

Subjects: “…Evaluation of machine learning models…”
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Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

“…TinyML enables the deployment of Machine Learning (ML) models on resource-constrained devices, addressing a growing need for efficient, low-power AI solutions. …”
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Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms by Gustavo Frigieri, Sérgio Brasil, Danilo Cardim, Marek Czosnyka, Matheus Ferreira, Wellingson S. Paiva, Xiao Hu

“…This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a cranial extensometer device (brain4care [B4C] System). …”
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Corrigendum to “Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network” by Vu Viet Thang, F. F. Pashchenko

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Implementation of Portable Ultrasound for Heart Disease Detection Using Cloud Computing-Based Machine Learning by Riyanto Sigit, Rika Rokhana, Setiawardhana, Taufiq Hidayat, Anwar, Jovan Josafat Jaenputra

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Crash Prediction on Expressway Incorporating Traffic Flow Continuity Parameters Based on Machine Learning Approach by Tian Lei, Jia Peng, Xingliang Liu, Qin Luo

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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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Modeling the Relationship between Rice Yield and Climate Variables Using Statistical and Machine Learning Techniques by Lasini Wickramasinghe, Rukmal Weliwatta, Piyal Ekanayake, Jeevani Jayasinghe

“…This paper presents the application of a multiple number of statistical methods and machine learning techniques to model the relationship between rice yield and climate variables of a major region in Sri Lanka, which contributes significantly to the country’s paddy harvest. …”
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Estimation of Ultimate Bearing Capacity in Rock-Socketed Piles Using Optimized Machine Learning Approaches by Ali Hassan, Hamza Rashid

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Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation by Muteb Alanazi, Jowaher Alanazi, Tareq Nafea Alharby, Bader Huwaimel

“…To complement experimental insights, machine learning models were employed to predict rivaroxaban solubility based on temperature, solvent type, and mass fraction of dichloromethane. …”
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Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms by Miki Vizel, Roger Alimi, Daniel Lahav, Moty Schultz, Asaf Grosz, Lior Klein

“…We use an array of nine elliptical Planar Hall Effect (PHE) sensors and machine learning algorithms to map the magnetic signal generated by a magnetic source. …”
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Enhancing Credit Risk Decision-Making in Supply Chain Finance With Interpretable Machine Learning Model by Guanglan Zhou, Shiru Wang

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Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors by Giacomo Peruzzi, Alessandra Galli, Giada Giorgi, Alessandro Pozzebon

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