Enhancing Spraying Performance with Active Stability Control in Multi-Link Mechanisms by Naiyu Shi, He Li, Yongkang Yang, Hongliang Hua, Junhong Ye, Zheng Chen, Ting Xu

“…First, a differential equation was established to relate the input speed to the output speed using vector methods, implicit function transformation to explicit functions, and regression analysis. …”
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Developing decision making framework on built-up site suitability assessment for urban regeneration in the industrial cities of Eastern India by Harekrishna Manna, Suraj Kumar Mallick, Sanjit Sarkar, Sujit Kumar Roy

“…Therefore, evaluating the prospective suitable sites for built-up area development is important to make sustainable urban planning through the urban regeneration process in the industrial-based urban area Asansol Municipal Corporation (AMC). …”
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High-efficient transgenic hairy roots induction in chicory: re-dawn of a traditional herb by Sara Kabirnataj, Ghorbanali Nematzadeh, Jafar Zolala, Ahmad Farhad Talebi

“…Beta-glucuronidase (GUS) gene was introduced by A13 strain carrying the pCAMBIA1304 binary vector. The results showed that the highest frequency of transformation (63.15 %) was achieved using A13 strain and MS cultivation medium. …”
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Research on ATT-BiLSTM-Based Restoration Method for Deflection Monitoring Data of a Steel Truss Bridge by Yongjian Chen, Rongzhen Liu, Jianlin Wang, Fan Pan, Fei Lian, Hui Cheng

“…Subsequently, the ATT-BiLSTM and Support Vector Machine (SVR) models are established to repair the anomalous monitoring data. …”
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Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review by Filip Orzan, Ştefania D. Iancu, Laura Dioşan, Zoltán Bálint

“…The study emphasizes common models, including U-Net, Support Vector Machine, Random Forest, and K-Nearest Neighbors, alongside their evaluation metrics.ResultsThe analysis revealed a fragmented research landscape, with significant variation in model architectures and performance. …”
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Controlled Synthesis of TiB2-TiC Composite: Substantiation of the Homogenizing Joule Thermostatting Efficiency and Improvement of SHS-Compaction Technology in a Vacuum by Gigo Jandieri, David Sakhvadze

“…The task of controlled Joule heating is a compensation of the temperature gradient formed in the synthesized workpiece, which is solved by passing in it a direct current directed in line with the vector of propagation of the combustion wave. An indicator of assessment of the degree of compensation of the noted temperature gradient is the Seebeck effect, excited between the upper and lower surface of the SHS workpiece, which should be brought to zero in the process of Joule thermostatting. …”
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Optimization analysis of air cooled open cathode proton exchange membrane fuel cell flow channel structure by Zhijun Deng, Qingwei Wang, Xun Fang, Yaru Han, Kunxiang Liu, Chen Zhao

“…In addition, in order to further improve the power density of the fuel cell, two agent models, support vector regression and Gaussian process regression, are constructed and trained, and a genetic algorithm is used to find the parameter optimization for the bending angle, width and height of the cathode channel. …”
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Achieving Excellence in Cyber Fraud Detection: A Hybrid ML+DL Ensemble Approach for Credit Cards by Eyad Btoush, Xujuan Zhou, Raj Gururajan, Ka Ching Chan, Omar Alsodi

“…The hybrid model leverages ML techniques including Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), eXtreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost), and Logistic Regression (LR) alongside DL techniques such as Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory Network (BiLSTM) with attention mechanisms. …”
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A Novel Framework for Automated Grid Generation and CFD Simulation of Complex Geometries by Chunguang XU, Xin OUYANG, Jie CHEN, Jun LIU

“…It achieved full automation in the process from importing discrete surface points to generating flow field computation results. …”
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Cognitive Distraction State Recognition of Drivers at a Nonsignalized Intersection in a Mixed Traffic Environment by Qiang Hua, Lisheng Jin, Yuying Jiang, Ming Gao, Baicang Guo

“…Compared with the support vector machine (SVM) model, its recognition accuracy rate is 94.33%, which is 3.83% higher than that of the SVM in the total event, which has reasonable applicability for distraction recognition in a mixed traffic environment. …”
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Design of a Fully Integrated Power Amplifier at <italic>Ka</italic>-<italic>V</italic> Band for 5G Transceivers by Avinash Singh, Amit Singh, Bargaje Ganesh Pandurang, Karun Rawat

“…A fully integrated millimeter-wave power amplifier has been designed and fabricated using a 0.13 &#x03BC;m SiGe BiCMOS process technology. The design is based on extracting device parasitics and utilizing them in a matching network based on a bandpass topology. …”
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Calculation of hydrogen dispersion in cushion gases using machine learning by Ali Akbari, Mehdi Maleki, Yousef Kazemzadeh, Ali Ranjbar

“…Existing experimental and numerical methods for predicting hydrogen dispersion coefficients (KL) are often limited by high costs, lengthy processing times, and insufficient accuracy in dynamic reservoir conditions. …”
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Devising a Breast Cancer Diagnosis Protocol through Machine Learning by Tooba Mujtaba, Saif Ullah Hashmi, Usama Bin Imtiaz, Sheikh Jameel Fathima Nusra

“…Then, a network analysis was performed to assess the significant biological process and signaling pathways of HER2- and ER+ breast cancer development. …”
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Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review by Ricardo Vardasca, Joaquim Gabriel Mendes, Carolina Magalhaes

“…Learning approaches based on support vector machines and artificial neural networks seem to be preferred, with a recent focus on convolutional neural networks. …”
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Research on the Fault Diagnosis Method of Mine Fan Based on Sound Signal Analysis by Shijie Song, Dandan Qiu, Sunwei Qin

“…Then, the feature vector of the fault state is extracted, which is obviously different from that of the fan in the normal operation. …”
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Evaluation of in-vessel co-composting of yard waste and development of kinetic models for co-composting by K. M. Sangamithirai, J. Jayapriya, J. Hema, Ravi Manoj

“…., as their disposal with other wastes could not only lead to issues like vector menace, odour generation but also would lead to loss of resources that could be reused such as nutrients which will benefit soil. …”
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Improved Method of Driving Safety Field Modeling by Considering the Abnormal Transfer of Energy Between Vehicles by Huilan Li, Xunjia Zheng, Xiangyang Xu

“…By considering the interactions between the ego vehicle and other road participants, the model introduces reduced mass and vector velocity and utilizes coordinate transformations to ensure that risks are distributed along the direction of relative velocity, thereby satisfying Newton&#x2019;s third law of motion regarding interactions between vehicles. …”
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Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives by Marco Cascella, Daniela Schiavo, Arturo Cuomo, Alessandro Ottaiano, Francesco Perri, Renato Patrone, Sara Migliarelli, Elena Giovanna Bignami, Alessandro Vittori, Francesco Cutugno

“…Concerning methods, early studies were conducted by machine learning algorithms such as support vector machine, decision tree, and random forest classifiers. …”
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Exploring the relationship between data sample size and traffic flow prediction accuracy by Jianhu Zheng, Minghua Wang, Mingfang Huang

“…Real traffic flow data from 13 road sections in Changsha, China, are analyzed using the Decision Tree, Support Vector Machine, Gaussian Process Regression and Artificial Neural Network models. …”
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Inversion of County-Level Farmland Soil Moisture Based on SHAP and Stacking Models by Hui Zhan, Peng Guo, Jiaxin Hao, Jiali Li, Zixu Wang

“…SHAP values derived from the coupled support vector regression (SVR) and random forest regression (RFR) models were used to select an additional six key features for model construction. …”
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