Hyperspectral Remote Sensing Estimation of Rice Canopy LAI and LCC by UAV Coupled RTM and Machine Learning by Zhongyu Jin, Hongze Liu, Huini Cao, Shilong Li, Fenghua Yu, Tongyu Xu

“…Leaf chlorophyll content (LCC) and leaf area index (LAI) are crucial for rice growth and development, serving as key parameters for assessing nutritional status, growth, water management, and yield prediction. …”
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Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach by Fan Yu, Wei Chu, Rui Zhang, Zhang Gao, Yunan Yang

“…The aim of this paper is to establish machine learning-based models for predicting permeability and compressive strength of pervious concrete. …”
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Machine learning modeling of cancer treatment-related cardiac events in breast cancer: utilizing dosiomics and radiomics by Sefika Dincer, Muge Akmansu, Oya Akyol

“…The highest predictive accuracy was achieved using clinical, dosiomic, and radiomic parameters (validation cohort-AUC = 0.96), outperforming the clinical + dosimetric model (validation cohort-AUC = 0.67). …”
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Machine learning-based prediction and classification of seawater intrusion in the hyper-arid coastal aquifer of Fujairah, UAE by Assaad Kassem, Ahmed Sefelnasr, Abdel Azim Ebraheem, Luqman Ali, Faisal Baig, Mohsen Sherif

“…Study focus: Fifteen machine learning (ML) algorithms were evaluated to predict and classify total dissolved solids (TDS) as an indicator of SWI. …”
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Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach by M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci

“…In recent years, the use of machine learning techniques (ML) has become widespread for analysing the effects of operational factors on anaerobic digestion efficiency. …”
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Numerical Study of Rectangular Tank with Sloshing Fluid and Simulation of the Model Using a Machine Learning Method by Hossein Goudarzvand Chegini, Gholamreza Zarepour

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Enhancing Typhoid Fever Diagnosis Based on Clinical Data Using a Lightweight Machine Learning Metamodel by Fariha Ahmed Nishat, M. F. Mridha, Istiak Mahmud, Meshal Alfarhood, Mejdl Safran, Dunren Che

“…A machine learning metamodel, integrating Support Vector Machine (SVM), Gaussian Naive Bayes (GNB), and Decision Tree classifiers with a Light Gradient Boosting Machine (LGBM), was trained and evaluated using k-fold cross-validation. …”
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Towards Achilles Tendon Injury Prevention in Athletes with Structural MRI Biomarkers: A Machine Learning Approach by Norbert Kapinski, Karol Jaskulski, Justyna Witkowska, Adam Kozlowski, Pawel Adamczyk, Bartosz Wysoczanski, Agnieszka Zdrodowska, Adam Niemaszyk, Beata Ciszkowska-Lyson, Michal Starczewski

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Dynamic Modeling and Chaotic Analysis of Gear Transmission System in a Braiding Machine with or without Random Perturbation by Zhang Yujing, Meng Zhuo, Sun Yize

“…The chaotic system associated parameters are picked out, which can be helpful to the design and control of braiding machines.…”
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Diagnosis of Encephalopathy Based on Energies of EEG Subbands Using Discrete Wavelet Transform and Support Vector Machine by Jisu Elsa Jacob, Gopakumar Kuttappan Nair, Thomas Iype, Ajith Cherian

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Three-Dimensionally Printed Resonator with Piezoelectric Actuation and Machine Learning Calibration for In-Line Density–Viscosity Sensing by Víctor Corsino, Víctor Ruiz-Díez, Mario Ramírez-Palma, Javier Toledo, José Manuel Gilpérez, José Luis Sánchez-Rojas

“…Various materials, fabrication parameters, and post-treatment processes were investigated. …”
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Particle Swarm Optimization Support Vector Machine-Based Grounding Fault Detection Method in Distribution Network by Zhongqin Xiong, Shichang Huang, Shen Ren, Yutong Lin, Zewen Li, Dongyu Li, Fangming Deng

“…In this paper, a particle swarm optimization (PSO) support vector machine (SVM)-based grounding fault detection method is proposed for distribution networks. …”
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Comparison of nonlinear Kalman filtering schemes for sensorless control of permanent magnet-assisted synchronous reluctance machines by M.A. González-Cagigal, Cristina Martín, Mario Bermúdez, Pedro Cruz-Romero

“…Permanent magnet-assisted synchronous reluctance machines (PMA-SynRMs) are gaining attention thanks to their cost-effectiveness, reliability, and efficiency. …”
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ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines by Hwijae Son

“…To address this limitation, we propose ELM-DeepONets, an Extreme Learning Machine (ELM) framework for DeepONets that leverages the backpropagation-free nature of ELM. …”
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Improving Electricity Theft Detection using Combination of Improved Crow Search Algorithm and Support Vector Machine by Hassan Ghaedi, Seyed Reza Kamel Tabbakh, Reza Ghaemi

“…In this paper, the crow search algorithm (CSA) is improved and the factors of weight (w ) and awareness probability (AP ) are obtained dynamically and used to adjust the parameters c and γ of support vector machine (SVM). …”
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Optimization of elastic elements of a damping devices for cylindrical hinges in crane-manipulating installations of mobile machines by Lagerev I.A.

“…Analysis of the impact of various operating and design parameters on the results of optimal design of elastic elements was performed. …”
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Potential for Evaluation of Interwell Connectivity under the Effect of Intraformational Bed in Reservoirs Utilizing Machine Learning Methods by Jinzi Liu

“…Machine learning method has gradually become an important and effective method to analyze reservoir parameters in reservoir numerical simulation. …”
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Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea) by Degninou Yehadji, Degninou Yehadji, Geraldine Gray, Carlos Arias Vicente, Petros Isaakidis, Petros Isaakidis, Abdourahimi Diallo, Saa Andre Kamano, Thierno Saidou Diallo

“…Traditional research has focused on statistical analysis, but machine learning (ML) is gradually influencing HIV clinical care. …”
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Investigation of Nonlinear Characteristics of a Gear Transmission System in a Braiding Machine with Multiple Excitation Factors by Lingling Yao, Zhuo Meng, Jianqiu Bu, Yize Sun

“…The analysis of associated parameters can be helpful in the design and control of braiding machines.…”
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Machine Learning‐Driven Prediction, Preparation, and Evaluation of Functional Nanomedicines Via Drug–Drug Self‐Assembly by Chengyuan Zhang, Yuchuan Yuan, Qiong Xia, Junjie Wang, Kangkang Xu, Zhiwei Gong, Jie Lou, Gen Li, Lu Wang, Li Zhou, Zhirui Liu, Kui Luo, Xing Zhou

“…This study used artificial intelligence (AI) to screen drug combinations for self‐assembling nanomedicines, employing physiochemical parameters to predict formation via machine learning. …”
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