Machine learning opportunities for nucleosynthesis studies by Michael S. Smith, Dan Lu

“…While researchers in astrophysics and in nuclear physics are separately using machine learning approaches to advance studies in their fields, there is currently little use of machine learning in nuclear astrophysics. …”
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Excavation Safety Modeling Approach Using BIM and VPL by Numan Khan, Ahmad K. Ali, Miroslaw J. Skibniewski, Do Yeop Lee, Chansik Park

“…Academic researchers and industry professionals have currently devoted vital attention to acquire construction safety in preconstruction phase of the project. …”
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GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis by Tianyu Zhao, Yue Zhou, Ruijun Shi, Zhoujian Cao, Zhixiang Ren

“…However, a significant gap exists, as there is currently no dedicated platform that enables scientists to develop, test, and evaluate AI algorithms efficiently for GW data analysis. …”
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Institutional support for High-tech manufacturing sectors by O.  I.  Dontsova, N.  M.  Abdikeev, V. M.  Zotov

“…Currently, a large-scale reform of the development institutions of the Russian Federation is planned and has begun to be implemented. …”
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NOVEL METHODS FOR AUTOANTIBODY DETECTION IN LABORATORY DIAGNOSTICS OF AUTOIMMUNE RHEUMATIC DISEASES by D. Roggenbuck, P. Schierac, U. Sack, S. V. Lapin, A. V. Mazing, Areg A. Totolian

“…Their detection in the routine clinical laboratory provides key information for early and differential diagnosis, prognosis, and monitoring of disease-activity. However, the currently existing variety of laboratory tests and methods as well as different diagnostic and clinical algorithms of autoimmune testing is the reason for lack of reproducibility and harmonization across immunological laboratories. …”
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An ANN-Based Method for On-Load Tap Changer Control in LV Networks with a Large Share of Photovoltaics—Comparative Analysis by Klara Janiga, Piotr Miller, Robert Małkowski, Michał Izdebski

“…The essence of the method is the use of the load compensation (LC) function with settings determined via artificial neural network (ANN) algorithms. The proposed method was compared with other selected local methods recommended in European regulations, in particular with those currently required by Polish distribution system operators (DSOs). …”
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State-of-the-Art on IoV-Based Deep Learning Framework for Enhanced Driving Behavior Recognition: Recent Progress, Technology Updates, Challenges, and Future Direction by Hongguang Li, Shafrida Sahrani, Mahidur R. Sarker, Yinglin Xiao

“…The analysis reveals that data quality, computational demands, and privacy issues are currently hindering the full realization of this technology. …”
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AIR-POLSAR-CR1.0: A Benchmark Dataset for Cloud Removal in High-Resolution Optical Remote Sensing Images with Fully Polarized SAR by Yuxi Wang, Wenjuan Zhang, Jie Pan, Wen Jiang, Fangyan Yuan, Bo Zhang, Xijuan Yue, Bing Zhang

“…In summary, AIR-POLSAR-CR1.0 fills the gap in polarization feature images and demonstrates good adaptability for the development of deep learning algorithms.…”
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Breaks in the Arctic ice cover: from observations to predictions by A. A. Ershova, L. N. Dyment, T. A. Alekseeva

“…Interpretation of the satellite images is based on the fundamental difference between physical properties of breaks and the surrounding consolidated ice. Algorithms for automatic recognition of ruptures using satellite data obtained in different wavelength ranges, including the use of artificial intelligence, are currently being developed. …”
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Seismic Events Prediction Using Deep Temporal Convolution Networks by Yue Geng, Lingling Su, Yunhong Jia, Ce Han

“…Seismic events prediction is a crucial task for preventing coal mine rock burst hazards. Currently, this task attracts increasing research enthusiasms from many mining experts. …”
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Assessment and Correction of the Cardiac Complications Risk in Non-cardiac Operations – What's New? by A. N. Sumin

“…Recent years have been characterized by the appearance of national and international guidelines with various algorithms for assessing and correcting cardiac risk, as well as publications on the validation of these algorithms. …”
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Synchronization method for long-term evolution-based machine-type communication in low-power cellular Internet of Things by Rothna Pec, Joo-Hyung Choi, Chang-Hwan Park, Yong Soo Cho

“…The 3rd Generation Partnership Project version of machine-to-machine, called “machine-type communication,” is currently being standardized for low-cost machine-type communication operations. …”
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Author Identification Systems. by A. Ben Wagner

“… Many efforts are currently underway to disambiguate author names and assign unique identification numbers so that publications by a given scholar can be reliably grouped together. …”
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A review on applications of activity recognition systems with regard to performance and evaluation by Suneth Ranasinghe, Fadi Al Machot, Heinrich C Mayr

“…Activity recognition systems are a large field of research and development, currently with a focus on advanced machine learning algorithms, innovations in the field of hardware architecture, and on decreasing the costs of monitoring while increasing safety. …”
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The other geopolitics of AI by Carme Colomina Saló, Marta Galceran-Vercher

“…It analyses the spaces, actors and concerns currently overlooked in the dominant discourses on the geopolitics of AI, perspectives that are essential to understand how algorithmic systems are going to develop in the coming years.…”
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AN ISSUE OF CARDIOVASCULAR RISK ASSESSMENT DEPENDING ON ETHNICITY AND TARGET ORGAN DAMAGE by T. A. Brodskaya, V. A. Nevzorova, N. I. Repina, D. Yu. Bogdanov

“…The key attention is paid for the results of investigation on such characteristics in various ethnicity patients living outside the traditional inhabitation, which is especially important for Russia due to significant demographic variety and migrational currents. So the standard algorithms of CVR assessment seem to be due for reconsideration and taking into account novel reclassification mechanisms. …”
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Human footprint with machine learning identifies risks of the invasive weed Conyza sumatrensis across land-use types under climate change by Hua Cheng, Kasper Johansen, Baocheng Jin, Shiqin Xu, Xuechun Zhao, Liqin Han, Matthew F. McCabe

“…E.Walker. Different algorithms yielded large variations in the predicted area of C. sumatrensis. …”
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A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring by Daniel Krauss, Lukas Engel, Tabea Ott, Johanna Braunig, Robert Richer, Markus Gambietz, Nils Albrecht, Eva M. Hille, Ingrid Ullmann, Matthias Braun, Peter Dabrock, Alexander Kolpin, Anne D. Koelewijn, Bjoern M. Eskofier, Martin Vossiek

“…Machine learning (ML) algorithms can be trained to extract meaningful information from radar data for medical experts, enhancing not only diagnostic capabilities but also contributing to advancements in disease prevention and treatment. …”
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Development of an Intelligent System for the Recommendation of the Most Suitable Routes for Pedestrians by M. H. Zali, M. Argany, M. A. Mostafavi, M. A. Mostafavi

“…This data was then integrated into a web-based public participation system, emphasizing the crucial role of citizen input in urban planning. Routing algorithms, including A* and Dijkstra's algorithms, were employed to identify optimized pedestrian routes based on the community feedback. …”
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Multi-slice electron ptychographic tomography for three-dimensional phase-contrast microscopy beyond the depth of focus limits by Andrey Romanov, Min Gee Cho, Mary Cooper Scott, Philipp Pelz

“…However, the axial resolution in these approaches is currently limited to a few nanometers, limiting their ability to solve novel atomic structures ab initio . …”
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