ANALYSIS OF MULTIDIMENSIONAL MEDICAL DATA USING PICTOGRAPHICS «CHERNOFF FACES» by I. A. Osadchaya, O. G. Berestneva, Ye. V. Nemerov

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Cavitation Analysis in Centrifugal Pumps Based on Vibration Bispectrum and Transfer Learning by Ali Hajnayeb

“…In this research, an automatic system for cavitation detection is proposed based on machine learning. Bispectral analysis is used for analyzing the vibration signals. …”
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Comparative analysis of Hymenasplenium (Aspleniaceae) chloroplast genomes from China by Yanfen Chang, Zhixin Wang, Guocheng Zhang, Na Wang, Limin Cao

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Morphometric Analysis of Subaxial Cervical Vertebra Pedicles in the Turkish Population by Hande Nur Taşdemir Batir, Hatice Güler, Burcu Kamaşak Arpaçay, İzzet Ökçesiz, Halil Dönmez, Güven Kahriman

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An Analysis of Mathematics Education Quality: Case Study of Adiyaman University by Suat Aşkın, Murat Ayan

“…During the prescreening, 84 survey forms belonging to the included working group were detected not to have been filled correctly and not included in the analysis stage. …”
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Thoracic aortic aneurysm in pregnancy: morphological analysis of 6 cases by V. P. Zakharova, S. O. Siromakha, J. W. Roos-Hesselink, V. I. Kravchenko, Yu. V. Davydova, V. V. Lazoryshynets

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Application of Machine Learning Techniques for Bearing Fault Diagnosis by Sarra Eddai, Nabih Feki, Ahmed Ghorbel, Abdelkhalak El Hami, Mohamed Haddar

“…This investigation provides a comprehensive analysis of the Case Western Reserve University (CWRU) dataset, data preprocessing procedures, feature extraction techniques, and machine learning algorithms utilized for fault detection. …”
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Analysis of multiple faults in induction motor using machine learning techniques by Puja Pohakar, Ravi Gandhi, Surender Hans, Gulshan Sharma, Pitshou N. Bokoro

“…Based on key operating parameters like voltage, current, and speed, this article describes how machine learning (ML) algorithms like Random Forest (RF), K-Nearest Neighbors (KNN), Gradient Boosting Machine (GBM), Support Vector Machines (SVM), and Extreme Gradient Boosting with Feature Interaction (XGBoost + FIS) are used to detect different motor faults. …”
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Toward AI-Driven Cough Sound Analysis for Respiratory Disease Diagnosis by Houda Benaliouche, Houda Hafi, Hakim Bendjenna, Zeyad Alshaikh

“…This is especially critical during a pandemic, where swift detection and early treatment are paramount. In this regard, an AI-based diagnostic system for automatic identification would play a major role, particularly regarding the analysis of patient cough patterns. …”
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Behavior Analysis of Students in Preschool Mathematics Teaching Based on Deep Learning by Guangning Qin

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Deep Learning-Based Detection of Aflatoxin B1 Contamination in Almonds Using Hyperspectral Imaging: A Focus on Optimized 3D Inception–ResNet Model by Md. Ahasan Kabir, Ivan Lee, Sang-Heon Lee

“…Therefore, a rapid and non-destructive detection method is crucial to detect aflatoxin B1-contaminated almonds to ensure food safety. …”
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Estimation and Analysis of Sports Energy Consumption Based on Gait Tactile Parameters by Wang Yan, Zang Jian-Cheng, Li Bi-Tao

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Eye contact based engagement prediction for efficient human–robot interaction by Magnus Jung, Ahmed Abdelrahman, Thorsten Hempel, Basheer Al-Tawil, Qiaoyue Yang, Sven Wachsmuth, Ayoub Al-Hamadi

“…This requires early, real-time user behavior detection. Previous HRI engagement classification approaches use various audiovisual features or adopt end-to-end methods. …”
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An Automated Semantic Segmentation Methodology for Infrared Thermography Analysis of the Human Hand by Melchior Arnal, Cyprien Bourrilhon, Vincent Beauchamps, Fabien Sauvet, Hassan Zahouani, Coralie Thieulin

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Re-identification assistance and multi-stage association for pedestrian multi-object tracking by Ye Li, Li Zhan, Lei Wu, Hongkun Liu, Jianli Min, Xinzhong Wang

“…Abstract The main task of pedestrian multi-object tracking is to continuously detect and locate target pedestrians in a video sequence and complete inter-frame target association, which has broad application prospects in various fields such as intelligent surveillance and video analysis. …”
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Application of computer vision algorithm in ceramic surface texture analysis and prediction by Yao Tian, Feifei Zhu

“…From the experimental analysis results, it can be seen that the computer vision algorithm proposed in this paper has good performance in ceramic surface texture recognition analysis and texture generation prediction, which can further improve the quality of subsequent ceramic products.…”
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A Comprehensive Analysis of the Security of ML Integrated CPS as Autonomous Vehicles by Kesava reddy, Kumudham R

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Machine learning analysis of cardiovascular risk factors and their associations with hearing loss by Ali Nabavi, Farimah Safari, Ali Faramarzi, Mohammad Kashkooli, Meskerem Aleka Kebede, Tesfamariam Aklilu, Leo Anthony Celi

“…A multi-layer neural network emerged as the top predictor of pure tone averages, achieving a mean absolute error of just 3.05 dB. Feature analysis identified age, gender, blood pressure and waist circumference as key associated factors. …”
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Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

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Quantitative determination of blended proportions in tobacco formulations using near-infrared spectroscopy and transfer learning by Qinlin Xiao, Qinlin Xiao, Ruifang Gu, Li Li, Jing Wen, Xixiang Zhang, Yi Shen, Yang Liu, Lan Xiao, Qinqin Tang, Jun Yang, Yong He, Juan Yang

“…Accurate detection of blending proportions in tobacco formulations is crucial for ensuring the quality consistency and flavor stability of cigarette products. …”
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