STrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets by Kendra Givens, David Ludwig, Joshua Phillips

“…Current deep-learning techniques for processing sets are limited to a fixed cardinality, causing a steep increase in computational complexity when the set is large. …”
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pyAutonomousAgent: An Academic Tool for Modeling Autonomous Agent Behaviors Using Behavior Trees by Felipe Leonardo Lôbo Medeiros

“…Results of the drone behavior modeling process are presented.Computer simulations have been applied in several areas. …”
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Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm by Ghada Moh. Samir Elhessewi, Mohammed Yahya Alzahrani, Mohammad Alamgeer, Abdulbasit A. Darem, Da’ad Albalawneh, Mohammed Alqahtani, Mutasim Al Sadig, Sultan Alanazi

“…At first, the block-scrambling-based encryption (BSBE) technique is utilized in the image encryption pre-processing stage, and then the decryption process is performed. …”
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Benchmarking QCi's EmuCore Device for Time Series Forecasting by Babak Emami, Prajnesh Kumar, Wesley Dyk

“… Reservoir computing (RC) has emerged as an efficient and scalable approach for processing time-dependent data, particularly in physical reservoir computing implementations. …”
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Stellar Evolution and Convection in 3D Hydrodynamic Simulations of a Complete Burning Phase by Federico Rizzuti, Raphael Hirschi, Vishnu Varma, William David Arnett, Cyril Georgy, Casey Meakin, Miroslav Mocák, Alexander StJ. Murphy, Thomas Rauscher

“…Our understanding of stellar evolution and nucleosynthesis is limited by the uncertainties coming from the complex multi-dimensional processes in stellar interiors, such as convection and nuclear burning. …”
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Real‐Time Observation of Oxygen Diffusion in CGO Thin Films Using Spatially Resolved Isotope Exchange Raman Spectroscopy by Alexander Stangl, Nicolas Nuns, Caroline Pirovano, Kosova Kreka, Francesco Chiabrera, Albert Tarancón, Mónica Burriel

“…The exploitation of advanced materials for novel energy, health, and computing applications requires deep insight and fundamental understanding of physicochemical mechanisms, such as ionic and electronic conductivity, defect formation processes, and reaction kinetics. …”
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High-Temperature Superconducting Cable Design Based on Individual Insulated Conductors by Peter Cheetham, Jose Viquez, WooJin Kim, Lukas Graber, Chul H. Kim, Sastry V. Pamidi

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Can ChatGPT AI Replace or Contribute to Experts’ Diagnosis for Renovation Measures Identification? by Juan Maria Hidalgo-Betanzos, Irati Prol-Godoy, Jon Terés-Zubiaga, Raúl Briones-Llorente, Alexander Martín-Garín

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Enhanced Collaborative Edge Intelligence for Explainable and Transferable Image Recognition in 6G-Aided IIoT by Chen Chen, Ze Sun, Jiale Zhang, Junwei Dong, Peng Zhang, Jie Guo

“…However, the existing algorithms often neglect the explainability of image recognition processes and fail to address the collaborative potential between edge computing servers. …”
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Orbitronics: Mechanisms, Materials and Devices by Ping Wang, Feng Chen, Yuhe Yang, Shuai Hu, Yue Li, Wenhong Wang, Delin Zhang, Yong Jiang

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Consideration of corona discharge in relation to operational dispatch control of power system mode 500 kV by V. A. Menshov, A. V. Valiansky, T. I. Khairullin

“…It is also important to take into account dynamic corona discharge for system operated by automatic algorithms in order to avoid occurrence of incorrect interpretations of phase shifts caused by weather changes as potentially dangerous electrical processes caused by regime processes of a possible transition of the system to a pre-emergency state.…”
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Synergy of Energy Efficiency and Industry 4.0 in the Post-War Modernization of Ukraine by Sydorenko Oleksandr M.

“…It is proved that the combination of energy-efficient solutions with digital platforms and resource management systems contributes to the formation of transparent and reliable production processes, which are characterized by a noticeable reduction in negative impact on the environment. …”
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Modeling Performance of SCALE‐AMPS: Simulations of Arctic Mixed‐Phase Clouds Observed During SHEBA by Chia Rui Ong, Makoto Koike, Tempei Hashino, Hiroaki Miura

“…Abstract The Advanced Microphysics Prediction System (AMPS), which adopts a two‐moment hybrid‐bin habit‐predicting scheme, was previously developed to study cloud microphysical processes that depend on ice habit; however, only one particular atmospheric model, the University of Wisconsin‐Nonhydrostatic Modeling System, has been used to test the AMPS. …”
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Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models by Ali Raza, Fatma Eid, Elisabeth Caro Montero, Irene Delgado Noya, Imran Ashraf

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Decoherence in spin wave propagation via precursor pulses during signal equilibration by Cameron Aidan McEleney, Robert E. Camley, Rair Macêdo

“…Understanding the relationship between spin wave dispersion and decoherence can enable engineering magnonic devices supporting well-resolved signals for magnonic computing and signal processing.…”
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A Method of Sample Models of Program Construction in Terms of Petri Nets by D. I. Kharitonov, E. A. Golenkov, G. V. Tarasov, D. V. Leontyev

“…At the second stage, iterative process of automated net construction is used for Petri net generation of any size, limited only by an available computer memory. …”
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Conditional expected approach based monitoring of mean of type-I censored Weibull lifetimes by Abdul Rauf Abbasi, Abdullah Ali H. Ahmadini, Mohammed Ibrahem Alatrash, Muhammad Noor-ul-Amin, Javed Rahimi

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High-quality deepfakes have a heart! by Clemens Seibold, Clemens Seibold, Eric L. Wisotzky, Eric L. Wisotzky, Arian Beckmann, Benjamin Kossack, Anna Hilsmann, Peter Eisert, Peter Eisert

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Modeling of laser beam absorption on rough surfaces, powder beds and sparse powder layers by Giandomenico Lupo, Martin Niemann, Christoph Goniva, Wojciech Szmyt, Xiao Jia, Vladyslav Turlo

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A Framework for the AI-based visualization and analysis of massive amounts of 4D tomography data for end users of beamlines by Steffen Kieß, Thomas Lang, Tomas Sauer, Andreas Michael Stock, Andrey Chernov, Yipeng Sun, Andreas K. Maier, Tomáš Faragó, Alexey Ershov, Gabriel Lefloch, Guilherme Silva, Tilo Baumbach, Simon Zabler, Astrid Hölzing, Kilian Dremel, Ali Riza Durmaz, Akhil Thomas, Ingo Manke, Nikolay Kardjilov, Tobias Arlt, Tak Ming Wong, Regine Willumeit-römer, Julian Moosmann, Berit Zeller-Plumhoff, Dieter Froning, Sven Simon

“…This framework reduces the computational burden on the computing infrastructure of large synchrotron and neutron facilities by allowing end users to process datasets on their institution's computers. …”
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