Electronic Nose System Based on Metal Oxide Semiconductor Sensors for the Analysis of Volatile Organic Compounds in Exhaled Breath for the Discrimination of Liver Cirrhosis Patient... by Makhtar War, Benachir Bouchikhi, Omar Zaim, Naoual Lagdali, Fatima Zohra Ajana, Nezha El Bari

“…Sensor’s measurement data were analyzed using machine learning techniques, such as principal component analysis (PCA), discriminant function analysis (DFA), and support vector machines (SVMs) that were utilized to uncover meaningful patterns and facilitate accurate classification of sensor-derived information. …”
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The hybrid feature extraction method for classification of adolescence idiopathic scoliosis using Evolving Spiking Neural Network by Nurbaity Sabri, Haza Nuzly Abdull Hamed, Zaidah Ibrahim, Kamalnizat Ibrahim, Mohd Adham Isa, Norizan Mat Diah

“…Thus, an appropriate Features Extraction (FE) method is crucial to producing a good ML classification model. Local Binary Pattern (LBP) is capable of providing the desired features from the surface of a human body. …”
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SUBSTANTIATION OF GRAPHICAL METHOD OF TOOTH SPACE SHAPING FOR THE WHEEL WITH ASYMMETRIC PROFILES by P. A. KARGIN

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Deep learning-based recognition model of football player’s technical action behavior using PCA–LBP algorithm by Hongtao Chen, Zhengbai Lin, Quan Xu

“…Deep learning allows machines to emulate the behavior of humans, like sight, hearing, and thought. …”
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ANALYSIS AND MINIMIZATION OF THE RISKS OF HARMFUL DEPENDENCIES IN THE PROCESS OF CONTINUOUS INTEGRATION AND IMPLEMENTATION OF SOFTWARE CODE by Danil N. Alekseev, Renat M. Khamitov

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Probing for consciousness in machines by Mathis Immertreu, Mathis Immertreu, Achim Schilling, Achim Schilling, Andreas Maier, Andreas Maier, Patrick Krauss, Patrick Krauss, Patrick Krauss

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Advancing EEG-based biometric identification through multi-modal data fusion and deep learning techniques by Touseef Ur Rehman, Madallah Alruwaili, Muhammad Hameed Siddiqi, Yousef Alhwaiti, Sajid Anwar, Zahid Halim, Maaz Alam

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Enhancing medical image classification via federated learning and pre-trained model by Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz

“…The Convolutional Neural Network (CNN) model with Gray-Level Co-occurrence Matrix (GLCM) and Local Binary Patterns (LBP), along with the EfficientNet model, are being used as the local models. …”
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Smartphone-Based Sensing System for Identifying Artificially Marbled Beef Using Texture and Color Analysis to Enhance Food Safety by Hong-Dar Lin, Yi-Ting Hsieh, Chou-Hsien Lin

“…Images are processed by applying a region of interest (ROI) mask to remove background noise, followed by partitioning into grid blocks. Local binary pattern (LBP) texture features and RGB color features are extracted from these blocks to characterize surface properties of three beef types (Wagyu, regular, and fat-injected). …”
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Post-Anthropocene_2.0: Alternative Scenarios through Nature/Computing Coalition Applicable in Architecture by Yannis Zavoleas

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Characterisation of Tribological Properties and Morphologies of Ni-P and Ni-B Coatings by Kristóf Bányai, Máté Czagány, Sándor Kovács, Gabriella Bognár

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A comparative study of convolutional neural networks and traditional feature extraction techniques for adulteration detection in ground beef by Leila Bahmani, Saied Minaei, Alireza Mahdavian, Ahmad Banakar, Mahmoud Soltani Firouz

“…In order to identify the most appropriate feature extraction algorithm and classify samples having various levels of adulteration, Local Binary Pattern (LBP), Gray Level Co-occurrence Matrixes (GLCM) and Gabor filter were compared. …”
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Improved Splitting-Integrating Methods for Image Geometric Transformations: Error Analysis and Applications by Hung-Tsai Huang, Zi-Cai Li, Yimin Wei, Ching Yee Suen

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Access and benefit sharing biological materials for machines: Artificial intelligence, machine learning and deep learning by Charles Lawson, Elizabeth Englezos, Michelle Rourke

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Machine Learning in the National Economy by Azamjon A. Usmonov

“…Thus, the use of modern machine learning methods in economics allows us to obtain accurate forecasts, identify patterns in economic data, and make strategic decisions based on objective analysis.Conclusion. …”
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Applying Neutrosophic Natural Language Processing to Analyze Complex Phenomena in Interdisciplinary Contexts by Diego Fernando Coka Flores, Ignacio Fernando Barcos Arias, María Elena Infante Miranda, Omar Mar Cornelio

“…The results reveal a significant capacity to identify linguistic patterns in high-uncertainty scenarios, with practical applications in areas such as artificial intelligence, decision-making, and semantic analysis. …”
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Sociology of the new media environment in the western post-truth society by F. I. Sharkov, V. V. Silkin, O. F. Kireeva

“…This situation determines the need to analyze new patterns of audience behavior in connection with the development of the new media environment. …”
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Ghost hunting in the nonlinear dynamic machine. by Jonathan E Butner, Ascher K Munion, Brian R W Baucom, Alexander Wong

“…These example findings suggest that integrating machine learning with dynamical systems modeling provides a viable means for classifying distinct temporal patterns, even when there is no governing equation for the nonlinear dynamics. …”
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Opportunities of machine learning algorithms for education by Olga Ovtšarenko

“…By predicting trends, identifying patterns, and optimizing resource allocation, machine learning can improve the efficiency of e-learning and provide students with tailored recommendations for acquiring relevant knowledge and skills. …”
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MNEMOSINE: A Modular Framework to Monitor Interaction in Multimodal Interactive Spaces by Fabio Barros, Bernardo Marques, Antonio Teixeira, Samuel Silva

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