Neural Network-Based Analysis of Forest Fire Aftermath in Class-Imbalanced Remote Sensing Earth Image Classification by V. Hnatushenko, V. Hnatushenko, V. Hnatushenko, D. Soldatenko

“…<br />The results demonstrate that the proposed CNN has a higher classification accuracy than the ones discussed in the paper: the classification accuracy on the test dataset reached 96.7% with intersection-over-union values of up to 89.7%. This opens the way for further research in the direction of refining algorithms for classify satellite data with an imbalanced class structure.…”
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Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection by Antonio Galli, Michela Gravina, Stefano Marrone, Domenico Mattiello, Carlo Sansone

“…Abstract The widespread use of fingerprint authentication systems (FASs) in consumer electronics opens for the development of advanced presentation attacks, that is, procedures designed to bypass a FAS using a forged fingerprint. …”
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Optimizing Airport Land Side Operations: Check-In, Passengers’ Migration, and Security Control Processes by Ludovica Adacher, Marta Flamini

“…Results show the effectiveness and efficiency of the solutions of the Surrogate Method compared with the performances of other algorithms.…”
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Machine learning and partial differential equations: benchmark, simplify, and discover by Petros Koumoutsakos

“…The convergence of AI and scientific computing opens new horizons for scientific discovery and effective decision-making.…”
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Implementation of Generative Artificial Intelligence in Sociological Research by V. E. Drach, Yu. V. Torkunova

“…Despite existing challenges, it opens new horizons for data collection and analysis, fostering a deeper understanding of social processes and phenomena. …”
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Edge intelligence for poultry welfare: Utilizing tiny machine learning neural network processors for vocalization analysis. by Ramasamy Srinivasagan, Mohammed Shawky El Sayed, Mohammed Ibrahim Al-Rasheed, Ali Saeed Alzahrani

“…Recent advances in machine learning and speech analysis have opened up opportunities for real-time monitoring of the behavior and health of flock. …”
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Multi-scale crack closure measurements with digital image correlation on Haynes 230 by Stefano Beretta, Silvio Rabbolini, Angelo Di Bello, Huseyin Sehitoglu

“…Initially, full field regression algorithms were applied to extract the effective stress intensity factor ranges from the singular displacement field measured at crack tips. …”
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New directions in mapping the Earth’s surface with citizen science and generative AI by Linda See, Qingqing Chen, Andrew Crooks, Juan Carlos Laso Bayas, Dilek Fraisl, Steffen Fritz, Ivelina Georgieva, Gerid Hager, Martin Hofer, Myroslava Lesiv, Žiga Malek, Milutin Milenković, Inian Moorthy, Fernando Orduña-Cabrera, Katya Pérez-Guzmán, Dmitry Schepaschenko, Maria Shchepashchenko, Jan Steinhauser, Ian McCallum

“…Summary: As more satellite imagery has become openly available, efforts in mapping the Earth’s surface have accelerated. …”
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Multi-scale crack closure measurements with digital image correlation on Haynes 230 by Stefano Beretta, Silvio Rabbolini, Angelo Di Bello

“…Initially, full field regression algorithms were applied to extract the effective stress intensity factor ranges from the singular displacement field measured at crack tips. …”
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Volcanic Precursor Revealed by Machine Learning Offers New Eruption Forecasting Capability by Kaiwen Wang, Felix Waldhauser, Maya Tolstoy, David Schaff, Theresa Sawi, William S. D. Wilcock, Yen Joe Tan

“…The events migrate along pre‐existing fissures, suggesting that they represent brittle crack opening driven by influx of magma or volatiles. These results demonstrate the power of unsupervised ML algorithms to characterize subtle changes in magmatic processes associated with eruption preparation, offering new possibilities for forecasting Axial's anticipated next eruption. …”
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Transverse cracking in glass fibre-reinforced composites monitored with synchrotron X-ray multi-projection imaging by Elise Van Vlierberghe, Jeroen Soete, Eleni Myrto Asimakopoulou, Zisheng Yao, Julia Rogalinski, Zhe Hu, Kannara Mom, Bratislav Lukić, Christian Breite, Pablo Villanueava Perez, Yentl Swolfs

“…An extensive data set was gathered to make a 3D reconstruction of the crack evolution over time using XMPI and machine learning-based reconstruction algorithms.  …”
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Deep Space Insights: Machine Learning Revolutionizing Astrophysical Discoveries by Dutta Samya, Paul Prithwineel

“…This paper provides a comprehensive overview of various machine learning algorithms applied across different subfields of astrophysics, elucidating their applications, advantages, and the challenges they address. …”
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Pedotransfer functions for estimating the van Genuchten model parameters in the Cerrado biome by Mariana F. Veloso, Lineu N. Rodrigues, Elpídio I. Fernandes Filho, Carolina F. Veloso, Bruna N. Rezende

“…Multiple Linear Regression (MLR) and four machine learning (ML) algorithms were used to develop the PTFs. The ML algorithms were the Multivariate Adaptive Regression Splines (MARS), Random Forest (RF), Support Vector Regression (SVR), and K Nearest Neighbors (KNN). …”
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Hyperspectral library of submerged aquatic vegetation and benthic substrates in the Baltic Sea by E. Vahtmäe, L. Argus, K. Toming, M. Ligi, T. Kutser

“…Additionally, measured reflectance spectra can be used as spectral end-members in physical models and classification algorithms for coastal vegetation mapping and quantification. …”
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A stepped approach for the management of symptomatic internal derangement of the temporomandibular joint by Candan Efeoglu, Aylin Sipahi Calis, Huseyin Koca, Esra Yuksel

“…However patient selection algorithms, indications for minimally invasive procedures and details of the techniques should be further studied for safe and cost effective management of these cases. …”
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The future of education: Importance of ethical frameworks and cultural sensitivity by Baltezarević Borivoje V.

“…The use of artificial intelligence in education opens up a wide range of possibilities for improving the teaching process, but its application requires detailed analysis and consideration of ethical aspects, as well as issues of user security and privacy, as well as checking for bias that may be embedded in (AI) algorithms. …”
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Qualitative Mechanical Problem-Solving by Artificial Agents: by Shreya Banerjee, Selmer Bringsjord, Michael Giancola, Naveen Sundar Govindarajulu

“…Human agents use their capacity for such problem-solving to succeed in tasks as routine as opening the tap to drink or hanging a picture on the wall, as well as for more sophisticated tasks in demanding jobs in today’s economy (e.g., emergency medicine, plumbing, hydraulic machinery, & driving). …”
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The RMaP challenge of predicting RNA modifications by nanopore sequencing by Jannes Spangenberg, Stefan Mündnich, Anne Busch, Stefan Pastore, Anna Wierczeiko, Winfried Goettsch, Vincent Dietrich, Leszek P. Pryszcz, Sonia Cruciani, Eva Maria Novoa, Kandarp Joshi, Ranjan Perera, Salvatore Di Giorgio, Paola Arrubarrena, Irem Tellioglu, Chi-Lam Poon, Yuk Kei Wan, Jonathan Göke, Andreas Hildebrandt, Christoph Dieterich, Mark Helm, Manja Marz, Susanne Gerber, Nicolo Alagna

“…Results demonstrate that a low prediction error and a high prediction accuracy can be achieved on these modifications across different approaches and algorithms. The RMaP challenge marks a substantial step towards improving algorithms’ comparability, reliability, and consistency in RNA modification prediction. …”
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Performance Evaluation of Control Strategies for Autonomous Quadrotors: A Review by Hamid Hassani, Anass Mansouri, Ali Ahaitouf

“…The recent progress in the fields of sensor miniaturization, light materials, automatic control, and battery management systems has opened up new opportunities for low-cost unmanned aerial vehicles (UAVs), such as quadrotors. …”
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Ecosystem [512]: Acoustic Ecology Surveys as Music by Garrison Gerard

“…The piece uses multiple strategies such as algorithmic composition to handle the transition from rough acoustic survey recordings to final music product. …”
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