Considering the ethical aspects of artificial intelligence application from the consumer perspective by Jovanka Vukmirović, Lola Maričić, Selena Stanojevic, Aleksandra Vukmirović, Ivan Mandić

“…Artificial intelligence (AI) uses large datasets to "train" algorithms that make autonomous decisions, leading to significant changes across fields, including digital marketing and personalized advertising. …”
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Detection of Fake Instagram Accounts via Machine Learning Techniques by Stefanos Chelas, George Routis, Ioanna Roussaki

“…This addresses significant research challenges regarding the performance of and confidence in obtained results in this specific problem domain.…”
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Should we worry about filter bubbles? by Frederik J. Zuiderveen Borgesius, Damian Trilling, Judith Möller, Balázs Bodó, Claes H. de Vreese, Natali Helberger

“…We synthesise empirical research on the extent and effects of self-selected personalisation, where people actively choose which content they receive, and pre-selected personalisation, where algorithms personalise content for users without any deliberate user choice. …”
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Study of methods for extracting contours of objects on raster images of amber samples by Yu.O. Podchashynskyi, A.V. Ryzhuk

“…The open source computer vision library was taken as the algorithmic and software basis of the conducted research. …”
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Leveraging machine learning for analyzing the nexus between land use and land cover change, land surface temperature and biophysical indices in an eco-sensitive region of Brahmani-... by Bhaskar Mandal

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COUGH IN CHILDREN: DIAGNOSTICS AND MANAGEMENT by K. S. Volkov, L. L. Nisevich, L. S. Namazova-Baranova, E. G. Filyanskaya, A. A. Alekseeva, V. A. Barannik

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Detection of Autism Spectrum Disorder Using A 1-Dimensional Convolutional Neural Network by Aythem Khairi Kareem, Mohammed M. AL-Ani, Ahmed Adil Nafea

“…More research is needed to improve the accuracy of the classification of ASD. …”
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A Novel SOH Estimation Method for Lithium-Ion Batteries Based on the PSO–GWO–LSSVM Prediction Model with Multi-Dimensional Health Features Extraction by Xu He, Zhengpu Wu, Jinghan Bai, Junchao Zhu, Lu Lv, Lujun Wang

“…To improve LSSVM model accuracy and efficiency, this paper develops a novel prediction model that uses particle swarm optimization (PSO) combined with grey wolf optimization (GWO) algorithms to optimize the LSSVM model. The generalization performance of the proposed method is validated through comparative experiments using a battery dataset provided by the Center for Advanced Life Cycle Engineering (CALCE) Research Center at the University of Maryland. …”
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Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis by Vivianne Landry, Jessica Matschek, Roger Pang, Meghana Munipalle, Kenneth Tan, Jill Boruff, Nicole Y.K. Li-Jessen

“…Breathing and coughing were the most common biomarkers, with artificial neural networks being the most common analysis technique. Future research on audio biomarkers should focus on testing their validity in clinically diverse populations and resolving algorithmic bias. …”
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Estimation of soil organic carbon content and dynamics in Mediterranean climate regions considering long-term monthly climatic conditions by Lei Shen, Wei Zhang, Duanqiang Zhai, Shuo Han, Shuang Tian

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Parametric Optimization and Assessment of Modern Heritage Shading Screen for a Mid-Rise Building in Arid Climate: Modernizing Traditional Designs by Anwar Ahmad, Lindita Bande, Waleed Ahmed, Kheira Tabet Aoul, Mukesh Jha

“…Under these conditions, shading is a primary strategy. This research explores how parametric design and optimization based on genetic algorithms (GAs) can improve shading structures to reduce solar radiation and lower cooling energy consumption. …”
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Machine Learning-Based Detection of Archeological Sites Using Satellite and Meteorological Data: A Case Study of Funnel Beaker Culture Tombs in Poland by Krystian Kozioł, Natalia Borowiec, Urszula Marmol, Mateusz Rzeszutek, Celso Augusto Guimarães Santos, Jerzy Czerniec

“…The machine learning models, including logistic regression and decision tree-based algorithms, demonstrated strong potential for predicting site visibility. …”
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Pan-Cancer Analysis of Disulfidptosis-Related Genes Affecting Prognosis and Tumor Microenvironment by Jingyang SUN, Rongxuan JIANG, Liren HOU, Huanhuan DONG, Yihan LIN, Niuniu DONG, Guangjian ZHANG, Yanpeng ZHANG

“…TMB analysis revealed the potential research value of DRGs for PD-1/PD-L1 therapy in pan-cancer. …”
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The Impact of Integrated Project-Based Learning and Flipped Classroom on Students’ Computational Thinking Skills: Embedded Mixed Methods by Muh Fitrah, Anastasia Sofroniou, Caly Setiawan, Widihastuti Widihastuti, Novi Yarmanetti, Melinda Puspita Sari Jaya, Jontas Gayuh Panuntun, Arfaton Arfaton, Septrisno Beteno, Ika Susianti

“…Although there was an improvement in algorithmic thinking skills, some students still faced difficulties in developing systematic solutions. …”
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The different member equivalent circulating density prediction model and drilling parameter optimization under narrow density window by Wanchun Zhao, Wanchun Zhao, Zhipeng Yang, Tingting Wang, Yan Zhou, Wei Song, Jingrun Li, Peihong Zhai

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NeuroRF FarmSense: IoT-fueled precision agriculture transformed for superior crop care by Tarun Vats, Shrey Mehra, Uday Madan, Amit Chhabra, Akashdeep Sharma, Kunal Chhabra, Sarabjeet Singh, Utkarsh Chauhan

“…This research aspires to advance precision agriculture in harmony with global sustainability objectives.…”
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The Multilevel Encryption Model: A review by Mais Irreem Kamal, Laheeb Ibrahim

“…For example, digital encryption algorithms can be used as initial layers to encrypt data, and then the encrypted data is encrypted again using other encryption techniques. …”
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Modeling flood zones on the basis of time series forecasting and GIS-technologies by the example of the Republic of Bashkortostan by E.V. Palchevsky, V.V. Antonov, L.E. Rodionova, L.A. Kromina, A.R. Fakhrullina

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A comprehensive survey on customer churn analysis studies by Maryam Shahabikargar, Amin Beheshti, Xuyun Zhang, Jin Foo, Alireza Jolfaei

“…The survey then reviews a range of machine learning algorithms used for churn prediction and explores the various feature types employed in this domain. …”
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CONTROL AND ESTIMATION FOR A CLASS OF IMPULSIVE DYNAMICAL SYSTEMS by Tatiana F. Filippova

“…We present several theoretical schemes and the estimating algorithms allowing to find the upper bounds for reachable sets of the studied control system.   …”
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