Optimal Multi-Physics Synthesis of a Dual-Frequency Power Inductor Using Deep Neural Networks and Gaussian Process Regression by Paolo Di Barba, Arash Ghafoorinejad, Maria Evelina Mognaschi, Fabrizio Dughiero, Michele Forzan, Elisabetta Sieni

“…In order to build a surrogate field model of the device, i.e., to compute the temperature profile on the disk, given the amplitudes and frequencies of the supply currents, three methods have been used (Support Vector Regression (SVR), fully connected Neural Network (NN) and Gaussian Process Regression (GPR)). …”
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Optimizing Geospatial Data for ML/CV Applications: A Python-Based Approach to Streamlining Map Processing by Removing Irrelevant Areas by David Kasperek, Michal Podpora

“…Massive image datasets are often required for the proper functioning of Machine Learning (ML) and Computer Vision (CV) applications. This paper offers a solution to computational challenges in the Image Processing of satellite imagery, by proposing an optimization procedure. …”
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3D modeling of transport properties on the surface of a textronic structure produced using a physical vapor deposition process by Mączka Mariusz, Korzeniewska Ewa, Lebioda Marcin, Pawłowski Stanisław

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Modeling of working processes in the throttle-adjustable hydraulic drive of manipulation systems with conjoint movement of links during operation of mobile machines by Lagerev A.V., Lagerev I.A.

“…The model allows to perform computer simulations of the kinematics and dynamics of the elements of the metal structure of the manipulator and hydrodynamic working processes in the hydraulic drive as jointly occurring and interacting processes. …”
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Improving Barcode Vision Scanning Process using a Drone-based Tracking PID Controller for Warehouse in Industry 4.0 by Samer Al-hamadani, Izzat Al-Darraji, Houssem Jerbi

“…In addressing these challenges, this study proposes an approach that combines a proportional–integral–derivative (PID) controller with image processing techniques. The PID controller is responsible for continuously monitoring the camera’s input, detecting the difference between the planned and the real barcode image dimensions, and making immediate changes to the drone position to improve the process of detecting the potential barcode. …”
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An Analytical Formula for the Transition Density of a Conic Combination of Independent Squared Bessel Processes with Time-Dependent Dimensions and Financial Applications by Nopporn Thamrongrat, Chhaunny Chhum, Sanae Rujivan, Boualem Djehiche

“…The proposed formulas provide a unified analytical framework for modeling and computation involving a broad class of time-inhomogeneous diffusion processes. …”
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The Physics and Metaphysics of Social Powers: Bridging Cognitive Processing and Social Dynamics, a New Perspective on Power Through Active Inference by Mahault Albarracin, Sonia de Jager, David Hyland

“…In AIF, social power emerges from the capacity to attract attention and process information effectively. Our semantic habitat—narratives, ideologies, representations, etc.…”
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Large Language Models Outperform Traditional Natural Language Processing Methods in Extracting Patient-Reported Outcomes in Inflammatory Bowel Disease by Perseus V. Patel, Conner Davis, Amariel Ralbovsky, Daniel Tinoco, Christopher Y.K. Williams, Shadera Slatter, Behzad Naderalvojoud, Michael J. Rosen, Tina Hernandez-Boussard, Vivek Rudrapatna

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Post-discharge suicide prediction among US veterans using natural language processing-enriched social and behavioral determinants of health by Avijit Mitra, Kun Chen, Weisong Liu, Ronald C. Kessler, Hong Yu

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New Logarithmic Operational Laws-Based Complex q-Rung Orthopair Fuzzy Aggregation Operators and Their Application in Decision-Making Process by Harish Garg, Zeeshan Ali, Tahir Mahmood, Sultan Aljahdali, Habib Shah

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Sequential Design Process of a 350-kW Class Dual Three-Phase IPMSM for a Wheeled Armored Vehicle by Ji-Chang Son, Min-Su Kwon, Dong-Kuk Lim

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Finding a suitable chest x-ray image size for the process of Machine learning to build a model for predicting Pneumonia by Kriengsak Yothapakdee, Yosawaj Pugtao, Sarawoot Charoenkhun, Tanunchai Boonnuk, Kreangsak Tamee

“…Furthermore, this study emphasizes the relationship between image size and processing time, empirically revealing that both increasing and decreasing image size beyond the optimal point results in increased training and testing time. …”
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Three-Dimensional Mathematical Modeling and Simulation of the Impurity Diffusion Process Under the Given Statistics of Systems of Internal Point Mass Sources by Petro Pukach, Olha Chernukha, Yurii Chernukha, Myroslava Vovk

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MODEL OF THE PROCESS OF FUNCTIONING OF THE INFORMATION PROTECTION SYSTEM FROM UNAUTHORIZED ACCESS CREATED IN THE SOFTWARE ENVIRONMENT OF IMITATION MODELING "CPN TOOLS" by O. I. Bokova, I. G. Drovnikov, A. D. Popov, E. A. Rogozin

“…At present, conducting a computational experiment on a system for protecting information from unauthorized access operated in an automated system is a time consuming process. …”
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A novel hybrid fuzzy analytical hierarchy process–game theory model for prioritizing factors affecting the deterioration of water pipelines by Eslam Mohammed Abdelkader, Tarek Zayed, Nehal Elshaboury

“…Then, the relative importance priorities of water deterioration factors are scrutinized using seven weight computation methods. These methods encompass analytical hierarchy process (AHP), Monte Carlo AHP, fuzzy AHP, magnitude-based fuzzy AHP, total difference-based fuzzy AHP, spherical fuzzy AHP and Pythagorean fuzzy AHP. …”
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Influence of the process of damage accumulation on the asymptotic behavior of stress fields under creep conditions of a sample with a central crack by Yulia S. Bykova, Larisa V. Stepanova

“…The objective of the study is to analyze the cracked plate experiencing uniaxial loading under creep conditions using the CAE software SIMULIA ABAQUS taking into account the damage accumulation processes near the crack tip. Computations were performed by means of the user procedure UMAT (User material), which is based on the Bailey-Norton creep power law and the Kachanov — Rabotnov damage evolution equation describing the power-law damage accumulation processes. …”
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Spatial proximity effects on cognitive processing of multimedia learning among college students: evidence from functional near-infrared spectroscopy by Yan Ma, Yan Ma, Qiuyue Peng, Qiuyue Peng, Bowen Long, Bowen Long

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A Novel Approach to the Prediction of Alzheimer’s Disease Progression by Leveraging Neural Processes and a Transformer Encoder Model by Emad Al-Anbari, Hossein Karshenas, Bijan Shoushtarian

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Stable Machine‐Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection‐Permitting Simulations by Zeyuan Hu, Akshay Subramaniam, Zhiming Kuang, Jerry Lin, Sungduk Yu, Walter M. Hannah, Noah D. Brenowitz, Josh Romero, Michael S. Pritchard

“…Abstract Modern climate projections often suffer from inadequate spatial and temporal resolution due to computational limitations, resulting in inaccurate representations of sub‐grid processes. …”
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What’s in a cue?: Using natural language processing to quantify content characteristics of episodic future thinking in the context of overweight and obesity by Haylee Downey, Shuangshuang Xu, Sareh Ahmadi, Aditya Shah, Jeremiah M. Brown, Warren K. Bickel, Leonard H. Epstein, Allison N. Tegge, Edward A. Fox, Jeffrey S. Stein

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