3D object tracker for sports events by M. A. Volkova, M. P. Romanov, A. M. Bychkov

“…However, as new sports such as drone racing are developed, the problem of determining the position of an object in a three-dimensional coordinate system becomes relevant. The aim of the present work was to develop algorithms and software for a method to perform 3D tracking of moving objects, regardless of the data segmentation technique, and to test this method to estimate the tracking quality.Methods. …”
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Prescribing the Future: The Role of Artificial Intelligence in Pharmacy by Hesham Allam

“…A comprehensive literature review was conducted using platforms such as PubMed, Semantic Scholar, and multidisciplinary databases, with AI-driven algorithms refining the retrieval of relevant and up-to-date studies. …”
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Applications and prospects of artificial intelligence in the auxiliary diagnosis of nail diseases by HE Mengwen, MAI Sien, MA Han

“…This review summarizes the imaging features of nail disorders, such as changes in color and morphology, and the corresponding requirements they pose for image processing algorithms. This paper also reviews examples of AI model applications in the auxiliary diagnosis of common nail diseases. …”
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QoS Routing in Telecommunications Networks by N. I. Listopad, O. A. Lavshuk

“…With the transition to new generation networks, the issues of improving routing algorithms and protocols seem to be especially relevant. …”
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A Survey of Datacenter and Optical Data Center Networks by Esraa Ali Abdulmahdi Abdul Mahdi, Ali Al-Askery, Adnan Hussein Ali, Safiye Ghasemi

“…Finally, we make a comprehensive between some related works with an analysis of the algorithmic challenges faced by these technologies. …”
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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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Lung cancer and aortic stenosis: one-stage surgical treatment by A. A. Pechetov, B. G. Alekyan, A. N. Lednev, M. A. Makov, N. G. Karapetyan, L. G. Gelecyan

“…With a combination of oncological and somatic diseases, the definition of treatment algorithms today is one of the primary tasks.This paper presents a clinical observation of one-stage surgical treatment of lung cancer and severe aortic stenosis, provides a brief literature review on this topic.…”
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On adaptive identification of systems having multiple nonlinearities by N. N. Karabutov

“…The solution to the relevant problem of identifying systems with multiple nonlinearities depends on such factors as feedback, ways of connecting nonlinear links, and signal properties. …”
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Simultaneous Instance and Attribute Selection for Noise Filtering by Yenny Villuendas-Rey, Claudia C. Tusell-Rey, Oscar Camacho-Nieto

“…Removing or reducing noise can help classification algorithms focus on relevant patterns, preventing them from being affected by irrelevant or incorrect information. …”
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Advancing ECG Signal Classification With a Fuzzy Classifier Approach by Jan Rabcan, Vitaly Levashenko, Elena Zaitseva, Miroslav Kvassay

“…Over the years, numerous methods and algorithms have been developed to classify ECG signals with reliable accuracy. …”
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Legal Considerations in Machine-Assisted Decision-Making: Planning and Building as a Case Study by Yee-Fui Ng, Eric Windholz, James Moutsias

“…It examines issues of transparency, algorithmic bias, privacy, data and intellectual property rights, as well as the implications of the use of generative Artificial Intelligence (AI). …”
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3D CNN Approach for Tennis Movement Recognition Using Spatiotemporal Features of Video by Volodymyr Shymanskyi, Ilona Klymenok

“…The study collects and organizes relevant video data, employing machine learning algorithms to create and train neural network models for movement classification. …”
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Current therapy of interstitial pneumonia associated with systemic scleroderma by L. P. Ananieva

“…At the same time, treatment algorithms for interstitial lung damage in SSD have not yet been developed. …”
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A clinical benchmark of public self-supervised pathology foundation models by Gabriele Campanella, Shengjia Chen, Manbir Singh, Ruchika Verma, Silke Muehlstedt, Jennifer Zeng, Aryeh Stock, Matt Croken, Brandon Veremis, Abdulkadir Elmas, Ivan Shujski, Noora Neittaanmäki, Kuan-lin Huang, Ricky Kwan, Jane Houldsworth, Adam J. Schoenfeld, Chad Vanderbilt

“…With the increase in availability of public foundation models of different sizes, trained using different algorithms on different datasets, it becomes important to establish a benchmark to compare the performance of such models on a variety of clinically relevant tasks spanning multiple organs and diseases. …”
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Learning data characteristics of a session-based recommendation system and their impact on system performance by Urszula Kużelewska

“…The objective of this study is to examine the relationship between data metrics, including density, shape, and popularity, and the performance of session-based algorithms, in terms of accuracy and coverage.…”
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Automatic Three-Dimensional Measurement of Large-Scale Structure Based on Vision Metrology by Zhaokun Zhu, Banglei Guan, Xiaohu Zhang, Daokui Li, Qifeng Yu

“…All relevant key techniques involved in photogrammetric vision metrology for fully automatic 3D measurement of large-scale structure are studied. …”
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SMART Restaurant ReCommender: A Context-Aware Restaurant Recommendation Engine by Ayesha Ubaid, Adrian Lie, Xiaojie Lin

“…While various machine learning algorithms have been developed for recommendation tasks, existing systems still face limitations. …”
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Development of Non-Invasive Continuous Blood Pressure Measurement System Based on Multiple Feature Parameters by Mingyue LI, Zhiying YUAN, Ruowei LI, Jieying SHAN, Jilun YE, Xu ZHANG, Hui YU, Xiaoyu WU

“…The results demonstrated that the system could meet the requirements of relevant standards and have good application value.…”
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Restrictive Disjoint-Link-Based Bioinspired Routing Protocol for Mobile Ad Hoc Networks by L. J. García Villalba, D. Rupérez Cañas, A. L. Sandoval Orozco, T.-H. Kim

“…Related to theses, the algorithms based on Ant Colony Optimization (ACO), are particularly relevant. …”
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Semi-supervised Learning of Visual Causal Macrovariables by Aruna Jammalamadaka, Lingyi Zhang, Joseph Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya

“…Existing causal macrovariable discovery algorithms are limited by assumptions about known and controllable interventions. …”
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