Commercial symptom monitoring devices in Parkinson’s disease: benefits, limitations, and trends by Daniel Rodríguez-Martín, Carlos Pérez-López, Carlos Pérez-López

“…These devices utilize advanced technologies such as accelerometers, gyroscopes, and specific algorithms to provide objective data on motor symptoms like tremors, dyskinesia, and bradykinesia. …”
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A fact-checking tool based on Artificial Intelligence to fight disinformation on Telegram by Francisco-Javier Cantón-Correa, Lucia Ballesteros-Aguayo, Andrés Montoro-Montarroso

“… This article develops an automatic detection model based on natural learning by designing a useful tool for disinformation monitoring in Telegram that avoids the algorithmic bias of artificial intelligence. It is of relevance the monitoring of online platforms and messaging applications such as WhatsApp and Telegram because they have become tools for circumventing traditional verification controls, and, therefore, for conveying disinformation content. …”
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Reduction to master integrals and transverse integration identities by Vsevolod Chestnov, Gaia Fontana, Tiziano Peraro

“…We include some applications to cutting-edge integral families, showing significant improvements over traditional algorithms.…”
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Artificial intelligence-driven metabolic engineering is applied to the development of active ingredients in Traditional Chinese Medicine by Zhang Guoqi, Wang Juan

“…Nevertheless, the biochemical routes and critical catalysts that control numerous high-value target molecules have not been fully characterized, which is the main bottleneck for the heterologous synthesis of high-value chemicals. …”
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NONLINEAR NYBERG CONSTRUCTION TRANSFORMS OVER ISOMORPHIC REPRESENTATIONS OF FIELDS GALOIS by A. V. Sokolov, O. N. Zhdanov

“…Further development of cryptographic algorithms based on the principles of many-valued logic requires more accurate research of non-binary cryptographic primitives – S-boxes. …”
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A Review of Vehicle Accident Detection and Notification Systems Based on Machine Learning Techniques by Duaa Hadi Nassar, Jamal Mustafa Al-Tuwaijari

“…The main purpose of this review article was to identify and collect all the studies that have been done previously to detect roads traffics based on using machine learning techniques particularly deep learning. …”
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Generative design for architectural spatial layouts: a review of technical approaches by Shurui Yan, Chen Wu, Yixin Zhang

“…This study reviews the current research on generative design for architectural spatial layouts, focusing mainly on technological methodologies. These methodologies can be broadly categorized into two main approaches: data-driven and knowledge-driven. …”
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Multi-agent system of a network enterprise based on the Industrie 4.0 digital platform by V. А. Kazakov, Yu. F. Telnov

“…The results of the study. The main results of the article are the construction of the component composition diagram of the digital platform conceptual model, algorithms for generating a request to produce product components and its assessment by software agents of the digital platform in the form of UML sequence diagrams. …”
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Interval price prediction of livestock product based on fuzzy mathematics and improved LSTM. by Weimin Ma, Lingling Peng, Hu Chen, Haisheng Yan

“…However, traditional point prediction techniques focus mainly on tracking or fitting, resulting in limited information and challenges in evaluating the uncertainty of future prices. …”
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Know your competitor! Analyzing and predicting the location of competing stores: The case study of Valora at Swiss railway stations by Thomas Wieland

“…Binary logit models are built for the formats examined in order to identify the determinants of location choice. Machine learning algorithms are used to check and optimize the predictive ability of the models. …”
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Artificial intelligence as one of the key drivers of the economy digital transformation by O.I. Pizhuk

“…The article describes the essence of artificial intelligence as an economic category. The main technological preconditions for the emergence of artificial intelligence as a «subversive» technology of the Fourth Industrial Revolution, the development of which can lead to a technological breakthrough in any country in the world. …”
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Translation in the Age of Artificial Intelligence: Machine Translation Markers in Journalistic Texts by Kim Lidiya, Deryabin Artem

“…After that, the authors identified the technological parameters of the translation algorithms that determined the translation quality. …”
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Metric-Based Few-Shot Transfer Learning Approach for Voice Pathology Detection by Jong-Ho Won, Deok-Hwan Kim

“…This paper proposes a noninvasive deep learning approach that utilizes voice signal analysis for diagnosis and reduces discomfort and examination time. The main contributions of this study include the implementation of few-shot learning (FSL) in voice pathology detection, addressing data scarcities and class imbalances through its integration with transfer learning. …”
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Innovative computing and blockchain technologies in agriculture for accelerating economic integration among Russia, China, and the Republic of Belarus by A. Yu. Mikhailov

“…Cloud computing refers to distributed computing technologies that use algorithms for network access to shared computing resources. …”
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Contributions to the Development of Tetrahedral Mobile Robots with Omnidirectional Locomotion Units by Anca-Corina Simerean, Mihai Olimpiu Tătar

“…The conclusions of the paper summarize the main findings of the research and emphasize the significant progress made from the first to the second prototype. …”
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A Partial Differential Equation-Based Image Restoration Method in Environmental Art Design by Chen Li

“…With the rapid development of networks and the emergence of various devices, images have become the main form of information transmission in real life. …”
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Artificial intelligence applications in cardiology: a review by I. A. Soloviev I.A., O. N. Kurochkina

“…The paper also formulates the principles of strong AI (large language models) in cardiology health provision, identifies the main problems and difficulties in implementing the latest technology, and provides a conceptual scheme for implementing AI technology in a cardiology center. …”
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Fault Type Determination on Distribution Networks Lines within Functions of Microprocessor Current Protections by F. A. Romaniuk, A. A, Tishechkin, E. V. Buloichyk

“…The main disadvantage of the existing microprocessor current protections of distribution networks lines of 6–35 kV is a comparatively short instantaneous trip zone of the first step and insufficient sensitivity of the third step in many cases of asymmetrical short-circuits. …”
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The influence of AI on price forecasting. The view of the academic community by Alexandra-Cristina-Daniela Ciuverca, Simona‑Vasilica Oprea

“… In the context of the impressive development of Big Data, AI algorithms have proven their efficiency in processing and analyzing large volumes of data. …”
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From LMS to adaptive training systems by Y. B. Popova

“…Expertise systems, the theory of fuzzy sets and fuzzy logic, cluster analysis, as well as genetic algorithms and artificial neural networks are defined as the mechanisms for implementing the learning systems. …”
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