Machine learning in biomedical and health big data: a comprehensive survey with empirical and experimental insights by Kamal Taha

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Forward Computational Modeling of Respiratory Airflow by Emmanuel A. Akor, Bing Han, Mingchao Cai, Ching-Long Lin, David W. Kaczka

“…The simulation of gas flow in the bronchial tree using computational fluid dynamics (CFD) has become a useful tool for the analysis of gas flow mechanics, structural deformation, ventilation, and particle deposition for drug delivery during spontaneous and assisted breathing. …”
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Geo-computation techniques for identifying spatio-temporal patterns of reported oil spills along crude oil pipeline networks by Seyi Adewale Adebangbe, Deborah Dixon, Brian Barrett

“…Pipeline data were transformed into 500-metre lixels (linear pixels) to compute network distances and generate density estimates. …”
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Gender differences in dietary patterns and physical activity: an insight with principal component analysis (PCA) by Alessandra Feraco, Stefania Gorini, Elisabetta Camajani, Tiziana Filardi, Sercan Karav, Edda Cava, Rocky Strollo, Elvira Padua, Massimiliano Caprio, Andrea Armani, Mauro Lombardo

“…Methods A cross-sectional study was conducted on 2,509 adults attending a metabolic health centre. Data on eating habits, physical activity and body composition were collected by means of questionnaires and bioimpedance analysis. …”
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Generative Adversarial Networks (GANs) for Image Augmentation in Farming: A Review by Zahid Ur Rahman, Mohd Shahrimie Mohd Asaari, Haidi Ibrahim, Intan Sorfina Zainal Abidin, Mohamad Khairi Ishak

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Thermal performance and optimum concentration of different nanofluids in immersion cooling in data center servers by Fahad S. Alkasmoul, Ahmed M. Almogbel, Muhammad W. Shahzad, Amer J. Al-damook

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GeoBM: A Python-based tool for integrated visualization of global bibliometric data by Chun Chong Fu, Jorge Fleta-Asín, Fernando Muñoz, Carlos Sáenz-Royo, Loo Keat Wei

“…Implemented in Python, the framework leverages modular, algorithmically optimized routines for real-time data processing and visualization, incorporating statistical controls to mitigate overdispersion and enhance visual fidelity. …”
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Examining Emotional Reactions to the COVID-19 Crisis Through Twitter Data Analysis: A Comparative Study of Classification Techniques by Saira Yaqub, Muhammad Shoaib, Abdul Jaleel, Syed Khaldoon Khurshid, Shazia Arshad, Riaz Ahmad Ziar

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The analysis of the ecological status of hydromineral base of Kislovodsk federal resort by A. V. Malkov, I. M. Pershin, I. S. Pomelyayko

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Computer-Aided Application in Medicine and Biomedicine by Qi-Ming Liao, Wahab Hussain, Zhong-Xia Liao, Sarfraz Hussain, Zhi-Liang Jiang, Yong-Hao Zhu, Huang-Yin Luo, Xin-Ying Ji, Hong-Wei Wen, Dong-Dong Wu

“…Abstract Computer-aided applications in medicine and biomedicine drive the advancement of diagnostics, treatment, and research by leveraging data processing, analysis, and innovation. …”
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Edge and Cloud Computing in Smart Cities by Maria Trigka, Elias Dritsas

“…Cloud computing provides extensive computational capabilities and centralized data storage, whereas edge computing ensures localized processing to mitigate network congestion and latency. …”
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A Variable Service Broker Routing Policy for data center selection in cloud analyst by Ahmad M. Manasrah, Tariq Smadi, Ammar ALmomani

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A computational framework for processing time-series of earth observation data based on discrete convolution: global-scale historical Landsat cloud-free aggregates at 30 m spatial... by Davide Consoli, Leandro Parente, Rolf Simoes, Murat Şahin, Xuemeng Tian, Martijn Witjes, Lindsey Sloat, Tomislav Hengl

“…Processing large collections of earth observation (EO) time-series, often petabyte-sized, such as NASA’s Landsat and ESA’s Sentinel missions, can be computationally prohibitive and costly. Despite their name, even the Analysis Ready Data (ARD) versions of such collections can rarely be used as direct input for modeling because of cloud presence and/or prohibitive storage size. …”
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Computer Activity and Features of Play in Preschoolers by Salomatova O.V.

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Computer Architecture for Industrial Training Evaluation by Luz E. Gutiérrez, Carlos A. Guerrero, Mark M. Betts, Daladier Jabba, Wilson Nieto, Héctor A. López-Ospina

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Recurrent Neural Network Optimized by Grasshopper for Accurate Audio Data-Based Diagnosis of Parkinson's Disease by Saif Wali Ali Alsudani, Ghassan Khudair Saud

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ECOLOGICAL RESILIENCE ASSESSMENT FEATURES OF NATURAL-INDUSTRIAL SYSTEMS BY INDEX-BASED METHODS USING SOFT COMPUTING by A.V. Masloboev

Computed tomography for difficult airways diagnostics by E. G. Usikyan, A. Yu. Zaytsev, K. V. Dubrovin, V. A. Svetlov, S. G. Zhukova, E. P. Fisenko

“…The analysis of the obtained data showed that the LEMON scale has an average diagnostic ability (AUC 0.697 p ≤ 0.023 CI–0.534–0.860); the sensitivity of the method was 26.7%, specificity – 95.6%, compared with CT diagnostics. …”
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Role of computed tomography in sarcopenia detection by E. V. Sheberova, N. K. Silanteva, T. A. Agababian, A. L. Potapov, A. A. Nevolskikh, S. A. Ivanov, A. D. Kaprin

“…The study aimed to summarize the available data on the role of computed tomography in sarcopenia detection in cancer patients. …”
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Solid Oxide Fuel Cell Voltage Prediction by a Data-Driven Approach by Hristo Ivanov Beloev, Stanislav Radikovich Saitov, Antonina Andreevna Filimonova, Natalia Dmitrievna Chichirova, Egor Sergeevich Mayorov, Oleg Evgenievich Babikov, Iliya Krastev Iliev

“…A potential solution involves using data-driven machine learning (ML) black-box models. …”
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