Emotional Factor Recognition and Teaching Strategy Adjustment in Cultural Teaching Supported by Artificial Intelligence by Yu Xiaochen

“…Emotional factors are key variables that affect the effectiveness of cultural teaching, not only affecting students’ learning interest, but also closely related to learning efficiency and the degree of knowledge internalization. …”
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A review of flexible robotic gripping systems by Bahadir Tarhan, Seemal Asif, Phil Webb, Marco Chacin

“…The integration of sensors within grippers, enhancing their intelligence and autonomy, is also scrutinized, alongside a critical evaluation of control strategies that range from conventional PID controllers to sophisticated machine learning algorithms. …”
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Between machines and art: The impact of CNC technology on artistic creation by Marcelo Fraile-Narváez, Mihaela I. Chidean

“…Experimental validation of Gorosito is performed using images generated with generative AI and also including a comparison of the results with those produced by a commercial CNC machine. …”
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TRANSMISSION LINE-WIRE DANCING (GALLOPING) – LYAPUNOV INSTABILITY by V. I. Vanko, I. K. Marchevski

“…The obtained results during the investigation of rhombic and square profiles stability, as well as general profile of iced wire, and their comparisons with the known experiments’ results in aerodynamic tubes indicate the precision of developed methods and algorithms. The usage of mesh-free Lagrange method of vortex elements and software for their realization allows to solve also dual problems of aerohydroelasticity and to carry out direct numerical simulation of profile movement in flow. …”
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Learning to suppress tremors: a deep reinforcement learning-enabled soft exoskeleton for Parkinson’s patients by Tamás Endrei, Tamás Endrei, Sándor Földi, Sándor Földi, Ádám Makk, György Cserey, György Cserey

“…Biomechanical loading and exoskeletons show promise in enhancing patient well-being, but traditional control algorithms limit their efficacy in dynamic movements and personalized interventions. …”
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ANALYSIS OF HASHING METHODS IN INFORMATION SYSTEMS by V. F. Antonov

“…This article is devoted to the analysis of modern methods of hashing and collision search, as well as the scope and direction of their application in hashing procedures for data verification. The article also discusses the use of various algorithms MD5, SHA, GOST R 34.11-2012for hashing, their advantages and disadvantages.…”
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Machine Learning and Deep Learning for Loan Prediction in Banking: Exploring Ensemble Methods and Data Balancing by Eslam Hussein Sayed, Amerah Alabrah, Kamel Hussein Rahouma, Muhammad Zohaib, Rasha M. Badry

“…The use of Ensemble Methods and SMOTE with SMOTE-TOMEK Techniques also has a positive impact on the results. Four metrics are used to evaluate the effectiveness of these algorithms: accuracy, precision, recall, and F1-measure. …”
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Dna-storalator: a computational simulator for DNA data storage by Gadi Chaykin, Omer Sabary, Nili Furman, Dvir Ben Shabat, Eitan Yaakobi

“…The coding and algorithmic components are: 1. Clustering algorithms which partition all output noisy strands into groups according to the designed strand they originated from; 2. …”
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Designing Of Pulse Phase-Locked Loops by A. A. Deryushev, I. L. Svito, M. S. Shmakov

“…The paper considers pulse phase-locked loops (PPLL) in which switching of structure and pa­rameters is used for improvement of dynamic and spectral characteristics Classification of existing switching algorithms is given in the paper. The paper proposes designing methodology that takes into account discrete and non-linear characteristics of the considered devices, and also requirements to synchronism, stability, speed, spectral characteristics, peculiarities of various switching algorithms. …”
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Exploring the Current Applications and Future Implications of Artificial Intelligence in Public Health Dentistry: A Narrative Review by Tanushri Mahendra Dalvi, Rajeshri Kotwadekar, Shrivardhan R Kalghatgi, Priyanka Paul Madhu, Priyanka Methildeotare

“…AI based applications in preventive dentistry can identify high risk individuals for dental caries, periodontal infections and oral cancer to allow targeted dental care. Deep learning algorithms can also be applied in imaging diagnostics and dental care can be personalised using patient’s history, habits and genetics. …”
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Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning Analysis by Marcos Uceta, Alberto del Cerro‐León, Danylyna Shpakivska‐Bilán, Luis M. García‐Moreno, Fernando Maestú, Luis Fernando Antón‐Toro

“…Methods In this article, using unsupervised machine learning (UML) algorithms, we analyze the relationship between electrophysiological activity of healthy teenagers and the levels of consumption they had 2 years later. …”
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Analysis of Tire-Road Interaction: A Literature Review by Haniyeh Fathi, Zeinab El-Sayegh, Jing Ren, Moustafa El-Gindy

“…Finally, this literature review also highlights the shortcomings of recent research work and describes the areas lacking in the literature.…”
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Impact of Channel and System Parameters on Performance Evaluation of Frequency Extrapolation Using Machine Learning by Michael Neuman, Daoud Burghal, Andreas F. Molisch

“…These investigations thus provide insights into meaningful parameter choices for the performance evaluation of new ML algorithms for frequency-domain channel extrapolation.…”
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Development of a justification process for selecting alternative risk reduction measures by Pavlo Saik, Vitalii Tsopa, Olena Yavorska, Serhii Cheberiachko, Mariia Brezitska, Andrii Yavorskyi, Vasyl Lozynskyi, Vasyl Lozynskyi

“…These algorithms consider the priority of the measures and allow for a comparison between the effectiveness of several measures and a single measure that can also reduce the risk to an acceptable level.DiscussionAn example of calculating the efficiency of preventive measures to reduce the risk of pneumoconiosis among miners is also provided. …”
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Use Cases of Machine Learning in Queueing Theory Based on a <i>GI</i>/<i>G</i>/<i>K</i> System by Dmitry Efrosinin, Vladimir Vishnevsky, Natalia Stepanova, Janos Sztrik

“…ML algorithms are used also to solve both parametric and dynamic optimization problems. …”
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Identification of neural outgrowth genes using genome-wide RNAi. by Katharine J Sepp, Pengyu Hong, Sofia B Lizarraga, Judy S Liu, Luis A Mejia, Christopher A Walsh, Norbert Perrimon

“…While genetic screens have identified many genes essential for neurite outgrowth, they have been limited in their ability to identify neural genes that also have earlier critical roles in the gastrula, or neural genes for which maternally contributed RNA compensates for gene mutations in the zygote. …”
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Utilizing UAVs in Wireless Networks: Advantages, Challenges, Objectives, and Solution Methods by Mohammad Javad Sobouti, Amirhossein Mohajerzadeh, Haitham Y. Adarbah, Zahra Rahimi, Hamed Ahmadi

“…Additionally, we discuss the main methods and algorithms employed for UAV placement and trajectory optimization. …”
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Examining the role of social media in fostering responsible consumption: Insights from Bitcoin Adoption trends (2015–2023) by Yu Ge, Haochuan Wang, Kenny Soon Lee Cheah, Azni Zarina Binti Taha

“…A redesign of these algorithms is essential to elevate balanced, fact-based content that empowers users to make informed choices about Bitcoin. …”
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AI and Machine Learning in V2G technology: A review of bi-directional converters, charging systems, and control strategies for smart grid integration by Nagarajan Munusamy, Indragandhi Vairavasundaram

“…AI-powered predictive analytics can forecast energy demand and supply, enabling proactive charging and discharging strategies. ML algorithms can optimize charging rates, battery health, and grid stability while also detecting anomalies and preventing potential faults. …”
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Transformations in academic work and faculty perceptions of artificial intelligence in higher education by Jorge Buele, Leonel Llerena-Aguirre

“…Additionally, ethical debates are emerging around algorithmic transparency, data privacy, and institutional responsibility. …”
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