#GAMEADDICTED: A Machine Learning Framework for Digital Game Addiction Detection and Early Intervention by Esra Kahya Ozyirmidokuz, Bekir Asim Celik, Eduard Alexandru Stoica

“…The study employed machine learning models to process unstructured data collected from online game platforms between May 1, 2023, and June 1, 2023. …”
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Study on Color Detection of Korla Fragrant Pears by Near-Infrared Spectroscopy Combined with PLSR by Yifan Xia, Yang Liu, Hong Zhang, Jikai Che, Qing Liang

“…The full-spectrum data were pre-processed using six methods: Savitzky–Golay convolution smoothing (SGCS), Savitzky–Golay convolution derivative (SGCD), multiplicative scatter correction (MSC), vector normalization (VN), min–max normalization (MMN), and standard normal variate transformation (SNV). …”
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The Potential for Hyperspectral Imaging and Machine Learning to Classify Internal Quality Defects in Macadamia Nuts by Michael B. Farrar, Marcela Martinez, Kim Jones, Negar Omidvar, Helen M. Wallace, Thomas Chen, Shahla Hosseini Bai

“…Combining images to form a pooled dataset also provided high accuracy (>90%) using artificial neural network and support vector machine models. Overall, HSI has great potential for commercial application in nut processing to detect internal brown centers using images of the outside kernel surface in the VNIR range. …”
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Models and methods for analyzing complex networks and social network structures by Ju. P. Perova, V. P. Grigoriev, D. O. Zhukov

“…Numerical modeling methods for analyzing complex networks and processes occurring in them are considered and described in detail. …”
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Use of artificial intelligence to support prehospital traumatic injury care: A scoping review by Jake Toy, Jonathan Warren, Kelsey Wilhelm, Brant Putnam, Denise Whitfield, Marianne Gausche‐Hill, Nichole Bosson, Ross Donaldson, Shira Schlesinger, Tabitha Cheng, Craig Goolsby

“…The majority used machine learning (88%) alone or in conjunction with DL or NLP, and the top three algorithms used were support vector machine, logistic regression, and random forest. …”
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Methods for Applying Matrices when Creating Models of Group Pursuit by A. A. Dubanov

“…There were cases when the speed vector of the pursuer was directed arbitrarily and to a point on the Apollonius circle. …”
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MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review by Jayadev Gyani, Ahsan Ahmed, Mohd Anul Haq

“…Several methods used for deriving priority vectors from a Pairwise Consistency Matrix (PCM) in Analytic Hierarchy Process (AHP) technique, used in recent years are discussed in this research paper.…”
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Artificial Intelligence-Based Prediction Model for Maritime Vessel Type Identification by Hrvoje Karna, Maja Braović, Anita Gudelj, Kristian Buličić

“…It incorporates both the deep learning techniques for initial image representation and traditional image processing and machine learning methods for subsequent image classification. …”
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A Parallel Approach to Generate Sports Highlights from Match Videos Using Artificial Intelligence by Arjun Sivaraman, Tarun Kannuchamy, Anmol Anand, Shivam Dheer, Devansh Mishra, Narayanan Prasanth, S. P. Raja

“…The approach involves creating a list of words (wordnet) that indicate a highlight and comparing it with the commentary audio’s transcript to find a similarity, making use of a speech-to-text conversion, followed by some pre-processing of the extracted text, vectorization and finally measurement of the cosine similarity metric between the text and the wordnet. …”
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A method for identifying relevant topics of pilot simulator training based on clustering of flight safety reports by Z. R. Zabbarov, A. K. Volkov

“…Natural language processing (NLP) technologies, in one of their applications, provide effective research of patterns and trends in large sets of textual data. …”
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Type-dependent stochastic Ising model describing the dynamics of a non-symmetric feedback module by Manuel González-Navarrete

“…We consider a mean-field dynamics for a type-dependent Ising model, and then study the empirical-magnetization vector representing concentration of molecules. We apply a convergence result from stochastic jump processes to deterministic trajectories and present a bifurcation analysis for the associated dynamical system. …”
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AdaGram in Python: An AI Framework for Multi-Sense Embedding in Text and Scientific Formulas by Arun Josephraj Arokiaraj, Samah Ibrahim, André Then, Bashar Ibrahim, Stephan Peter

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ДОСЛІДЖЕННЯ ПЕРЕНОСУ АКТИВНОЇ ПОТУЖНОСТІ В УСТАНОВЦІ ІНДУКЦІЙНОЇ ТЕРМООБРОБКИ ЦИЛІНДРИЧНИХ АЛЮМІНІЄВИХ ЗАГОТОВОК З ТРИФАЗНИМ ІНДУКТОРОМ... by А.Ф. Жаркін, Ю.М. Гориславець, О.І. Глухенький, Р.В. Білянін

“…For the proposed design variant of a three-phase inductor of a device for induction heat treatment of cylindrical aluminum billets, which is used in the technology of production of conductive cores of power cables before pressing of wire rod, using the developed mathematical model of electrothermal processes, the process of active power transfer between phase sections and along the length of the billets, which occurs in the inductor due to inductive coupling between phase windings, has been investigated. …”
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Improving brain tumor classification: An approach integrating pre-trained CNN models and machine learning algorithms by Mohamed R. Shoaib, Jun Zhao, Heba M. Emara, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie, Hamada Esmaiel

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OS IMPACTOS AMBIENTAIS E O PROCESSO DE GESTÃO INTEGRADA: EXPERIÊNCIAS NA VILA DE ABRAÃO – ILHA GRANDE, ANGRA DOS REIS (RJ) / The Environmental Impacts and The Process of Integrated... by Sueli Maurício Leal Filha, Sônia V. G. da Gama, Ilana Campos Rocha

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Development and Evaluation of Neural Network Architectures for Model Predictive Control of Building Thermal Systems by Jevgenijs Telicko, Andris Krumins, Agris Nikitenko

“…The results indicate that, under the given experimental conditions, the proposed hybrid architecture outperforms both GRU and TCN models, particularly when processing large sequential input vectors.…”
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From Misinformation to Insight: Machine Learning Strategies for Fake News Detection by Despoina Mouratidis, Andreas Kanavos, Katia Kermanidis

“…This study presents a comprehensive machine learning framework for fake news detection, integrating advanced natural language processing techniques and deep learning architectures. …”
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Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images by Mahmoud Ragab, Iyad Katib, Sanaa A. Sharaf, Hassan A. Alterazi, Alanoud Subahi, Sana G. Alattas, Sami Saeed Binyamin, Jaber Alyami

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Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals by Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer

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Large language models in breast cancer reconstruction: A framework for patient-specific recovery and predictive insights by Chunrao Zheng, Qunfang Li, Geling Lu, Yuchang Mai, Yuan Hu

“…Lemmatization/Stemming is used for pre-processing large volumes of data from medical records, clinical notes, and treatment histories and BioBERT, a model pretrained on biomedical texts to capture complex medical terminology used for feature extraction and aids in the transformation of text data into numerical vectors. …”
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