The Dynamics of Shannon Entropy in Analyzing Climate Variability for Modeling Temperature and Precipitation Uncertainty in Poland by Bernard Twaróg

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Short-Term Forecasting of Non-Stationary Time Series by Amir Aieb, Antonio Liotta, Alexander Jacob, Muhammad Azfar Yaqub

“…Our study employs a range of statistical techniques, including sampling-based seasonality, mathematical transformation, and normalization, to preprocess the data to increase the time lag window. …”
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A data-driven approach to detect support strategies for children living in households receiving public assistance in Japan: a mixed methods study to establish tailor-made health an... by Keiko Ueno, Daisuke Nishioka, Shiho Kino, Naoki Kondo

“…This study aimed to apply a clustering technique to quantitatively identify the distinct segments among children in households receiving public assistance, qualitatively describe the segment characteristics, and suggest potentially effective health and social life support strategies for each segment. …”
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DEFORMATION REGIMES AND LOW-RANK PALEOTECTONIC STRESSES OF THE WESTERN TIAN SHAN IN THE MESOZOIC – CENOZOIC by R. A. Umurzakov

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BIOFEEDBACK AS A METHOD FOR STUDENTS’ MENTAL STATE ASSESSMENT by M. Yu. Ababkova, V. L. Leontieva

“…One of the most perspective neurotechnologies for the field of education is the method of biofeedback (BF) which enables to define students’ mental state, change various physiological processes proceeding from the obtained data, correct educational process, and improve its quality and effectiveness.The aim of the present publication is to identify the opportunities of the biofeedback method application for educational purposes.Methodology and research methods. …”
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Imaging of adult ocular neoplasms on a standard 1.5 Tesla MRI magnet: evaluation by improved diagnostic performance of “anatomical” images through feasible technical innovations, s... by Lamyaa Abdel Galil Eissa, Sara Mohamed ElBannan, Hisham Farouk Idriss, Aya Mohammed Abdel Aziz

“…Standard MRI exams were made with multiple modifications: eye movement correction techniques, more specific fat suppression technique, and additional perfusion weighed imaging with and without contrast. …”
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Urban Recreational Space Heat-Emotion Distribution and Matching Pattern Based on Machine Learning: A Case Study of Guangzhou City by Wang Fuyuan, Zhang Zhiyu, Xie Yuanjing, Yang Xinyi, Sun Miao

“…Using Guangzhou as a case study, this study harnesses big data sourced from Ma Feng Wo and Ctrip. Based on machine learning techniques, it discerns recreational emotions and synergizes Geographic Information System (GIS) spatial analysis with heat-emotion matching analysis. …”
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Application of machine learning for predicting the incubation period of water droplet erosion in metals by Khaled AlHammad, Mamoun Medraj, Moussa Tembely

“…The performance of various ML algorithms is evaluated while investigating the effect of data transformation techniques on prediction accuracy. …”
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Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic... by Alejandro Aybar-Flores, Alvaro Talavera, Elizabeth Espinoza-Portilla

“…Methods This quantitative study used data from the 2019 Peruvian Demographic and Family Health Survey. …”
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Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives by Simarjeet Kaur, Jimmy Singla, Lewis Nkenyereye, Sudan Jha, Deepak Prashar, Gyanendra Prasad Joshi, Shaker El-Sappagh, Md. Saiful Islam, S. M. Riazul Islam

“…This research paper aims to reveal some important insights into current and previous different AI techniques in the medical field used in today’s medical research, particularly in heart disease prediction, brain disease, prostate, liver disease, and kidney disease. …”
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Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

“…Traditional detection and quantification methods—including manual microscopy and standalone spectroscopic techniques—offer reliable accuracy but are limited by labor-intensive procedures and low throughput. …”
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Integrating LiDAR-derived DEM, rainfall radar data, and SAR imagery for 2D HEC-RAS modelling to assess the severity of pluvial flash floods induced by Storm Boris in SE Romania by Alin Mihu-Pintilie, Andrei Urzică, Cristian Constantin Stoleriu, Claudiu Ionut Pricop

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Optimizing Federated Learning With Aggregation Strategies: A Comprehensive Survey by Naeem Khan, Shibli Nisar, Muhammad Asghar Khan, Yasar Abbas Ur Rehman, Fazal Noor, Gordana Barb

“…Secure aggregation techniques aim to enhance privacy and robustness, protecting client data from potential adversarial threats through encryption-based methods like secure multi-party computation (SMPC) and Byzantine-resilient techniques. …”
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Explainable machine learning algorithms to identify predictors of intention to use family planning among women of reproductive-age in Ethiopia: Evidence from the Performance Monito... by Agmasie Damtew Walle, Shimels Derso Kebede, Jibril Bashir Adem, Tewodros Desalegn Nebi, Daniel Niguse Mamo, Sudi Jemal Wado, Ermias Bekele Enyew

“…Performance metrics evaluated these classifiers. Data preparation techniques, such as feature engineering, handling missing values and addressing imbalanced categories, were applied. …”
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Comparative framework for analyzing distance metrics in high-dimensional spaces by Дмитро Чернишов, Михайло Козюберда

“…These insights are crucial for improving the accuracy and efficiency of data analysis techniques that rely on distance computations. …”
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New challenges for representative democracy: the changing political space in Western Europe by Nicola Maggini

“…The article analyses the ideological consistency of voters’ issue preferences and the dimensionality of the issue space in seven western European countries through original survey data and scaling techniques. Results show that most citizens (especially young and right-wing voters) take ideologically inconsistent positions on cultural GAL-TAN and economic left-right issues, whereas are quite consistent on immigration and EU issues. …”
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Aspect-based sentiment analysis of user-generated content from a microblogging platform by Dražen Drašković, Stefan Milanović

“…Abstract This research presents a practical application of advanced natural language processing techniques to understand people’s feelings during the global Covid-19 pandemic, using a set of big data of over 547 thousand tweets. …”
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Applications of Machine Learning for Wine Recognition Based on ¹H-NMR Spectroscopy by Ariana Raluca Hategan, Adrian Pirnau, Dana Alina Magdas

“…In this regard, two ML algorithms, namely k-Nearest Neighbors (kNN) and Logistic Regression, have been utilized as supervised learning techniques applied to ¹H-NMR spectral data for the development of classification models able to recognize the variety, geographical origin, and vintage of wine samples. …”
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Hot water flow and temperature measurement to verify CO2 emission reductions using solar water heating by Ivan A. Hernandez-Robles

“…This work contributes to the knowledge and development of new techniques and technologies for measuring and verifying the reduction of emissions from energy consumption in buildings with the aim of promoting more sustainable buildings with a zero energy consumption characteristic and a neutral environmental impact.…”
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Machine learning for predicting resistance spot weld quality in automotive manufacturing by Nuttapong Chuenmee, Nattachai Phothi, Kontorn Chamniprasart, Sorada Khaengkarn, Jiraphon Srisertpol

“…Current inspection methods, reliant on random checks after cars leave the Body-in-White (BIW), often lead to significant time losses, emphasizing the necessity for enhanced quality assessment. This study aims to transition from random checks to 100 percent inspection using data analysis and machine learning techniques. …”
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