Study on the Influence Mechanism of Machine-Learning-Based Built Environment on Urban Vitality in Macau Peninsula by Chen Pan, Jiaming Guo, Haibo Li, Jiawei Wu, Nengjie Qiu, Shengzhen Wu

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Design and Experiment of a Greenhouse Autonomous Following Robot Based on LQR–Pure Pursuit by Yibin Hu, Jieyu Xian, Maohua Xiao, Qianzhe Cheng, Tai Chen, Yejun Zhu, Guosheng Geng

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Pure pursuit method use to control unmanned motor grader by R. Yu. Sukharev

“…One of the important issues when creating a motion control system for a self-driving vehicle is to develop a trajectory following algorithm. The most well-known method of following the trajectory is a pure pursuit method, which is successfully used to control the movement of mobile robots.Materials and methods. …”
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Methods of controlling the course for an self-driving grader by R. Yu. Sukharev

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The anthropomorphic pursuit of AI-generated journalistic texts: limits to expressing subjectivity by Cristian González-Arias, Cristian González-Arias, Eirini Chatzikoumi, Xosé López-García

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SMOOVS: Towards calibration-free text entry by gaze using smooth pursuit movements by Otto Hans-Martin Lutz, Antje Christine Venjakob, Stefan Ruff

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A Hybrid Machine Learning Framework for Early Fault Detection in Power Transformers Using PSO and DMO Algorithms by Mohammed Alenezi, Fatih Anayi, Michael Packianather, Mokhtar Shouran

“…This study introduces a novel machine learning framework that integrates Particle Swarm Optimization (PSO) and Dwarf Mongoose Optimization (DMO) algorithms for feature selection and hyperparameter tuning, combined with advanced classifiers such as Decision Trees (DT), Random Forests (RF), and Support Vector Machines (SVM). …”
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HSoMLSDP: A Hybrid Swarm-Optimized Machine Learning Framework for Software Defect Prediction by Madhusmita Das, Biju R. Mohan, Ram Mohana Reddy Guddeti

“…In pursuit of enhancing the defect prediction accuracy of the SoMLDP model, this paper designed two novel hybrid swarm-optimization algorithms (SOAs) referred to as gravitational force grasshopper optimization algorithm-artificial bee colony (GFGOA-ABC), and levy flight grasshopper optimization algorithm-artificial bee colony (LFGOA-ABC) algorithms. …”
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Grid Integration of PV Systems With Advanced Control and Machine Learning Strategies by Venkata Reddy Kota, Bapayya Naidu Kommula, Asif Afzal, Mohammad Asif, Liew Tze Hui

“…In the pursuit of sustainable and efficient energy solutions, Photovoltaic (PV) systems have emerged as a prominent player in the domain of renewable energy generation. …”
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Machine learning discovery of the dielectric properties of strontium-containing condensed matter by Dongyang Huang, Jiaxing Fu, Chenghao Yu

“…Strontium-containing dielectrics constitute a diverse class of materials, some of which exhibit exceptionally high dielectric constants, thereby showing great potential for practical applications. In this work, machine learning models were successfully developed to capture the relationship between composition and dielectric properties of strontium-containing dielectrics using different algorithms, with hyperparameter optimization performed via grid search. …”
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Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning by Enrico Barbierato, Alice Gatti, Alessandro Incremona, Andrea Pozzi, Daniele Toti

“…Machine Learning (ML) has historically been associated with Artificial Intelligence (AI) but has developed into an independent discipline. …”
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Identification of Rotary Machines Excitation Forces Using Wavelet Transform and Neural Networks by Francisco Paulo Lepore, Marcelo Braga Santos, Rafael Gonçalves Barreto

“…A typical compaction ratio of 2048:4 is achieved in this application, considering the stationary nature of the measured vibrations signals and the shape of the chosen wavelet function. The Matching Pursuit procedure, coupled to a modified Simulated Annealing optimization algorithm is used to decompose the vibration signals. …”
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A Comparison of Approaches for Handling Concept Drifts in Data Processed With Machine Learning by Emanuel Valerio Pereira, Wendley Souza da Silva

“…In the realm of machine learning models, the pursuit of achieving favorable metrics is undeniably significant. …”
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Influenza virus genotype to phenotype predictions through machine learning: a systematic review by Laura K. Borkenhagen, Martin W. Allen, Jonathan A. Runstadler

“…Background: There is great interest in understanding the viral genomic predictors of phenotypic traits that allow influenza A viruses to adapt to or become more virulent in different hosts. Machine learning techniques have demonstrated promise in addressing this critical need for other pathogens because the underlying algorithms are especially well equipped to uncover complex patterns in large datasets and produce generalizable predictions for new data. …”
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Alphabet Handwriting Recognition: From Wood‐Framed Hydrogel Arrays Design to Machine Learning Decoding by Guihua Yan, Xichen Hu, Ziyue Miao, Yongde Liu, Xianhai Zeng, Lu Lin, Olli Ikkala, Bo Peng

“…Nonetheless, the design of such a system from scratch with sustainable materials and an easily accessible computing network presents significant challenges. In pursuit of this goal, a flexible, and electrically conductive wood‐derived hydrogel array is developed as a handwriting input panel, enabling recognizing alphabet handwriting assisted by machine learning technique. …”
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MLRec: A Machine Learning-Based Recommendation System for High School Students Context of Bangladesh by Momotaz Begum, Mehedi Hasan Shuvo, Jia Uddin

“…Our results show that using social media excessively adversely affects academic pursuits.…”
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Machine learning analysis of pharmaceutical cocrystals solubility parameters in enhancing the drug properties for advanced pharmaceutical manufacturing by Tareq Nafea Alharby, Bader Huwaimel

“…The models of Kernel Ridge Regression (KRR), Multi-Linear Regression (MLR), and Orthogonal Matching Pursuit (OMP) were optimized in prediction of three Hansen solubility parameters. …”
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Predicting graduation grades using Machine Learning: A case study of Can Tho University students by Minh Khiem Nguyen, Van Tu Huynh, Hung Dung Nguyen

“…The capacity to forecast academic performance at the time of graduation holds profound importance for universities, especially in discerning the influential factors that contribute to a student's successful completion of their educational pursuits. This study employs multiple machine learning algorithms, including K-nearest neighbor, Neural network, Decision tree, Random forest, and Gradient boosting, to prognosticate the graduation outcomes of 7,837 undergraduate students from Can Tho University during the academic year 2022. …”
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Predicting graduation grades using Machine Learning: A case study of Can Tho University students by Minh Khiem Nguyen, Van Tu Huynh, Hung Dung Nguyen

“…The capacity to forecast academic performance at the time of graduation holds profound importance for universities, especially in discerning the influential factors that contribute to a student's successful completion of their educational pursuits. This study employs multiple machine learning algorithms, including K-nearest neighbor, Neural network, Decision tree, Random forest, and Gradient boosting, to prognosticate the graduation outcomes of 7,837 undergraduate students from Can Tho University during the academic year 2022. …”
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Support Vector and Linear Regression Machine Learning Model on Amperometric Signals to Predict Glucose Concentration and Hematocrit Volume by Kirti Sharma, Pawan K. Tiwari, Sanjay Kumar Sinha

“…This study delves into the application of machine learning algorithms to enhance societal well-being by harnessing the transformative potential of machine learning advancements in the domain of blood glucose concentration estimation through regression analysis. …”
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