A practical guide to optimizing industrial thermal spraying through comparative multi-objective optimization by Wolfgang Rannetbauer, Simon Hubmer, Carina Hambrock, Ronny Ramlau

“…By exploring the performance of these diverse algorithms in an industrial setting, this study offers insights into their practical applicability, guiding both researchers and practitioners in enhancing process efficiency and product quality in the coating industry.…”
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Mapping the landscape of Artificial intelligence for serious games in Health: An enhanced meta review by Xiya Tao, Nicolás Sáenz-Lechón, Martina Eckert

“…However, there is a clear distinction in their purposes: while FL is typically applied to game control tasks, SVMs are mainly used for user assessment.This review offers valuable insights for researchers in the field, providing a comprehensive overview of the suitability of different AI algorithms for various tasks in SGs, with a particular focus on personalisation and motivation.…”
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An Adaptive Subspace Similarity Search Approach by Jianxin Ren, Huahui Chen

“…In recent years，such database fields as multimedia information retrieval，similarity join and time series matching，where similarity search has attracted much attention.Existing researches mostly compute nearest neighbor to solve problems about search target set，such as kNN and kNNJ，by metric distance functions in the Euclidean space.But some studies showed that high dissimilarity dimensions had got great effect on the accuracy of answer and flexibility and robustness still were lacked in corresponding solutions.Thus centralized dynamic subspace or partial dimensions similarity search problem and algorithms were proposed at first.Furthermore，with the emerge of very large dataset，centralized algorithms can，t extend very well.Finally，the distributed ones under hadoop framework were proposed.Experiments prove that distributed algorithms outperform centralized ones in the performance without accuracy loss.…”
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Audiogmenter: a MATLAB toolbox for audio data augmentation by Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan

“…Purpose – Create and share a MATLAB library that performs data augmentation algorithms for audio data. This study aims to help machine learning researchers to improve their models using the algorithms proposed by the authors. …”
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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

“…Various concept drift detection algorithms are employed, facilitating a holistic assessment. …”
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A Comprehensive Study on Pathfinding Techniques for Robotics and Video Games by Zeyad Abd Algfoor, Mohd Shahrizal Sunar, Hoshang Kolivand

“…We have categorized pathfinding algorithms based on a 2D/3D environment search. The aim of this paper is to provide researchers with a thorough background on the progress made in the last 10 years in this field, summarize the principal techniques, and describe their results. …”
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A Comparative Evaluation of Recommender Systems Tools by Ayoub Akhadam, Oumayma Kbibchi, Loubna Mekouar, Youssef Iraqi

“…Furthermore, the paper presents a concise overview of various ML algorithms to generate recommendations, reviews the most used performance metrics to evaluate RS, and then compares several ML algorithms provided by four popular recommendation tools: Microsoft Recommenders, Lenskit, Turi Create, and Cornac.…”
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The Case for Higher Computational Density in the Memory-Bound FDTD Method within Multicore Environments by Mohammed F. Hadi

“…It is hoped that this argument will convince researchers to revisit certain numerical techniques that have long been shelved and reevaluate them for multicore usability.…”
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Introduction to Computational Creativity by Anna Longo, ChatGPT

“…By deconstructing the cognitive processes involved in human creativity, researchers can design algorithms that simulate these processes. …”
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Deep Learning in Visual Computing and Signal Processing by Danfeng Xie, Lei Zhang, Li Bai

“…Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features from input data. Nowadays, researchers have intensively investigated deep learning algorithms for solving challenging problems in many areas such as image classification, speech recognition, signal processing, and natural language processing. …”
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Using AI and NLP for Tacit Knowledge Conversion in Knowledge Management Systems: A Comparative Analysis by Ouissale Zaoui Seghroucheni, Mohamed Lazaar, Mohammed Al Achhab

“…The findings highlight the relative strengths and limitations of these techniques, offering practical guidance for selecting suitable algorithms based on organizational needs. Additionally, this paper identifies challenges and emerging opportunities for advancing NLP-driven tacit knowledge conversion, providing actionable insights for researchers and practitioners aiming to enhance KMS capabilities.…”
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EEG analysis of speaking and quiet states during different emotional music stimuli by Xianwei Lin, Xinyue Wu, Zefeng Wang, Zhengting Cai, Zihan Zhang, Guangdong Xie, Lianxin Hu, Laurent Peyrodie

“…In the construction of EEG classification models, the classification performance of deep neural network algorithms is superior to other machine learning algorithms.…”
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APPLICATION OF LINEAR AND NONLINEAR EXTRAPOLATIONS IN ANALYZING THE TRENDS OF CHANGES IN FINANCIAL STABILITY by EVGENY Negashev

“…The article researches the possibilities of applying the methods of linear and nonlinear extrapolation in the predictive analysis of a company’s financial stability based on the study of its trends. …”
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Overview of Path Planning and Motion Control Methods for Port Transfer Vehicles by Mei Yang, Dan Zhang, Haonan Wang

“…It focuses on the mainstream algorithms of path planning and motion control technology, introduces their principles, provides a summary of their current development situation, and elaborates on the improvement and integration achievements of current researchers on algorithms. …”
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Machine learning provides reconnaissance-type estimates of carbon dioxide storage resources in oil and gas reservoirs by Emil Attanasi, Philip Freeman, Timothy Coburn

“…Further, ML algorithms can capture highly complex, particularly nonlinear, relationships among predictor variables. …”
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Comparison of Machine Learning and Statistical Approaches of Detecting Anomalies Using a Simulation Study by Klaudia Lenart

“…Implications and recommendations: For the statistical methods included in the study, knowledge about the distribution of the variables was crucial while the supervised machine learning algorithms required acquiring a training dataset. Unlike machine learning algorithms, the statistical methods performed with similar accuracy even when the change in the marginal distribution parameters’ value was smaller. …”
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Disease Diagnosis Systems Using Machine Learning and Deep learning Techniques Based on TensorFlow Toolkit: A review by Firdews A.Alsalman, Shler Khorshid, Amira Sallow

“…Machine learning and deep learning algorithms have become increasingly important in the medical field, especially for diagnosing disease using medical databases. …”
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A New Weighted Correlation Coefficient Method to Evaluate Reconstructed Brain Electrical Sources by Jong-Ho Choi, Min-Hyuk Kim, Luan Feng, Chany Lee, Hyun-Kyo Jung

“…To validate and compare the performances of inverse algorithms, many researchers have used artificially constructed EEG and MEG datasets. …”
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Gender biases within Artificial Intelligence and ChatGPT: Evidence, Sources of Biases and Solutions by Jerlyn Q.H. Ho, Andree Hartanto, Andrew Koh, Nadyanna M. Majeed

“…This paper explores how AI systems and chatbots, notably ChatGPT, can perpetuate gender biases due to inherent flaws in training data, algorithms, and user feedback loops. This problem stems from several sources, including biased training datasets, algorithmic design choices, and human biases. …”
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Regression Derivatives and Their Application in the Study of Magnetic Storms by Agayan S, Bogoutdinov Shamil, Sidorov Roman Viktorovich, Soloviev Anatoly, Kamaev Dmitry Al'fredovich, Aleksanyan Andron Olegovich, Dzeranov B.

“…DMA involves the active participation of the researcher in the study of records, offering technologies and algorithms for analyzing records through the properties of interest to the researcher. …”
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