Detection of COVID-19 Using a Pre-trained CNN Model Over Chest X-ray Images by Mohammadreza Behnia, Touba Torabipour, Safieh Siadat

“…X-ray images are the most effective means of diagnosing this virus. In order to detect this disease, deep learning algorithms and machine vision are widely used by computer scientists. …”
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Unsupervised detection of rare events in liquid biopsy assays by Javier Murgoitio-Esandi, Dean Tessone, Amin Naghdloo, Stephanie N. Shishido, Brian Zhang, Haofeng Xu, Agnimitra Dasgupta, Jeremy Mason, Rajiv M. Nagaraju, George Courcoubetis, James Hicks, Peter Kuhn, Assad A. Oberai

“…This is done with the help of deep generative algorithms in an unsupervised manner, meaning without a-priori knowledge of the rare event associated with an analyte. …”
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Application of artificial intelligence techniques for the profiling of visitors to tourist destinations by Juan Schrader, Lloy Pinedo, Franz Vargas, Karla Martell, José Seijas-Díaz, Roger Rengifo-Amasifen, Rosa Cueto-Orbe, Cinthya Torres-Silva

“…The data were processed using the clustering algorithms K-Means, DBSCAN, HDBSCAN, and Agglomerative, with Principal Component Analysis applied beforehand for dimensionality reduction. …”
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Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation by Hanbyol Jang, Kihun Bang, Jinseong Jang, Dosik Hwang

“…In modern digital photographs, most images have low dynamic range (LDR) formats, which means that the range of light intensities from the darkest to the brightest is much lower than the range that can be perceived by the human eye. …”
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Benchmarking Big Data Systems: Performance and Decision-Making Implications in Emerging Technologies by Leonidas Theodorakopoulos, Aristeidis Karras, Alexandra Theodoropoulou, Georgios Kampiotis

“…In this study, we benchmark another two widely utilized graph processing systems, Apache Spark GraphX and Apache Fink, concerning the key performance criterion by means of response time, scalability, and computational complexity. …”
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Unsupervised Clustering of Cell Populations in Germinal Centers Using Multiplexed Immunofluorescence by Simon Burgermeister, Michail Orfanakis, Spiros Georgakis, Cloe Brenna, Helen Lindsay, Craig Fenwick, Giuseppe Pantaleo, Raphael Gottardo, Constantinos Petrovas

“…We evaluate multiple clustering algorithms and find that k-means clustering provides the most effective separation of distinct cell subsets. …”
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MODERN APPROACH TO THE CHOICE OF ANESTHETIC MANAGEMENT DURING COMPUTED TOMOGRAPHY IN CHILDREN WITH CENTRAL NERVOUS PATOLOGY by Роман Васильевич Жданов, Евгений Валерьевич Григорьев, Василий Васильевич Жданов, Евгений Викторович Ивлев, Александр Владимирович Ушаков, Елена Эдуардовна Рубан

“…Do not forget about such a complication inhalation anesthesia as malignant hyperthermia, which occurs more frequently in children than in adults, as well as the absence of dantrolene in the arsenal of the Russian anesthetist, in fact the only means for the treatment of this deadly complication. …”
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Correlation Between Depression-Associated Genes and Cancer Types: Predicting Cancer Based on Mutation Frequencies by Fernando Patricio Carranco-Avila, Clayanela Zambrano-Caicedo, Jonathan Javier Loor-Duque, Ariana Deyaneira Jimenez-Narvaez, Ivan Galo Reyes-Chacon, Paulina Vizcaino, Isidro Rafael Amaro Martin, Manuel Eugenio Morocho-Cayamcela

“…The analysis employed advanced methodologies, including HJ biplot K-means and DBSCAN clustering algorithms for pattern grouping in 2D. …”
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Automatic Identification of Amharic Text Idiomatic Expressions Using a Deep Learning Approach by Habtamu Hunegnaw Limenih, Abebe Belay Adege, Abrham Yaregal Alene, Habtamu Tariku Demasu, Habtamu Molla Belachew

“…Amharic, the most widely spoken language in Ethiopia, uses a lot of idiomatic expressions and proverbs to emphasize the message of the text. The meaning of an idiomatic phrase cannot be inferred from individual words. …”
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STRATEGIC COMPETENCE AS A GUARANTEE OF PROFESSIONAL ACTIVITY OF A MODERN IT SPECIALIST by Volkova Nataliia, Oliinyk Iryna, Karpova Maryna

“…Therefore, the strategy of professional activity is carried out by means of separate tactical actions, which collectively make up strategic activity. …”
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Semantic Differential For Evaluation of Educational Pathway of Personality by Yana Sukhenko

“…It was processed according to two algorithms distinguishing semantic universals, and their advantages were identified. …”
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Self-Prioritizing Multi-Agent Reinforcement Learning for Conflict Resolution in Air Traffic Control with Limited Instructions by Jens Nilsson, Jonas Unger, Gabriel Eilertsen

“…Automated conflict resolution has been an active area of research for decades, and in more recent years, reinforcement learning has been suggested as a powerful alternative to traditional algorithms. Reinforcement learning using discrete action spaces often require large action spaces to cover all combinations of actions, which can make them difficult to train. …”
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History of Location Objectives (Hilal Tracker): Development of Astronomical Observations from 2015-Present by Marataon Ritonga, Alya Fathi Muhammad Hasibuan, Rizqan Arya Perdana Nazara

“…Therefore, Hilal Tracker is not just a technical device, but also a means of education and diplomacy in creating a unified Hijri calendar worldwide with an observational approach. …”
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Postulates of oncology alertness for an outpatient therapist: let’s look at the example of lung cancer by A. L. Vertkin, M. A. Rudnitskaya, Yu. V. Vakhabova, G. Yu. Knorring

“…The formation and maintenance of skills of oncological alertness among doctors of almost all specialties can ensure the detection and reduction of the frequency of detection of advanced/late-stage tumors, which means it will help to start specialized treatment earlier. …”
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Blind Steganalysis using One-Class Classification by Mohammed Karem M., Ahmed Nori

“…One-Class Classification (OCC) machine learning algorithms aim to build classification models depending on positive class only when the negative class is not available or poorly sampled. …”
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The Digital Sublime: Orientation Strategies for a Vertiginous World by Alejandra López Gabrielidis, Toni Navarro

“…Can these actions encourage the production of collective emancipation strategies that allow us to be active agents when reconfiguring the governance and algorithmic regulations imposed on us? …”
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AI-enhanced chatbot for improving healthcare usability and accessibility for older adults by Abdulrahman Khamaj

“…The needs are not met using traditional means of communication, including intricate website interfaces and conventional chatbots, which leads to poor healthcare participation. …”
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A Transformation of the Way of Thinking: Key Principles in Programming Education Inspired by Pascal by Valentina Dagienė, Gintautas Grigas, Tatjana Jevsikova

“…We conducted a qualitative study by means of interviews with experts involved in the development of programming education during its early phases to examine their memories and perspectives. …”
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Mediatization of collective testimonies during the Russian-Ukrainian War 2022-2023 by Oksana Hudoshnyk, Oleksandr-P. Krupskyi, Nataliia Styrnik

“…Social networks, digital platforms, online museums, YouTube channels and messengers determine the algorithms for the formation of the collective discourse of war, radically transforming the Ukrainian media landscape. …”
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A Signal Subspace Speech Enhancement Approach Based on Joint Low-Rank and Sparse Matrix Decomposition by Chengli SUN, Jianxiao XIE, Yan LENG

“…However, these decomposition algorithms are highly sensitive to the presence of large corruptions, resulting in a large amount of residual noise within enhanced speech in low signal-to-noise ratio (SNR) situations. …”
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