Data processing capability of polarization dynamics in ferroelectric-gate transistor-based physical reservoir computing by Yu Ukezeki, Sota Inoue, Norifumi Fujimura, Tokuji Yokomatsu, Kensuke Kanda, Kazusuke Maenaka, Kasidit Toprasertpong, Shinichi Takagi, Takeshi Yoshimura

“…We investigated the relationship between the polarization characteristics of ferroelectric Hf _0.5 Zr _0.5 O _2 thin-films and data processing capability in physical reservoir computing. …”
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Thermal Analysis and Evaluation of Memristor-Based Compute-in-Memory Chips by Awang Ma, Bin Gao, Peng Yao, Jianshi Tang, He Qian, Huaqiang Wu

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Semi-Supervised Learning for Intrusion Detection in Large Computer Networks by Brandon Williams, Lijun Qian

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The Dynamics of Air Pollution in the Southwestern Part of the Caspian Sea Basin (Based on the Analysis of Sentinel-5 Satellite Data Utilizing the Google Earth Engine Cloud-Computing Platform) by Vladimir Tabunshchik, Aleksandra Nikiforova, Nastasia Lineva, Polina Drygval, Roman Gorbunov, Tatiana Gorbunova, Ibragim Kerimov, Cam Nhung Pham, Nikolai Bratanov, Mariia Kiseleva

“…Data processing is performed using the Google Earth Engine cloud-computing platform and the ArcGIS software suite. …”
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Survey of personalized federated learning for edge computing scenarios by HE Fan, WANG Yong, YANG Jing, YU Xu

“…So, a comprehensive review of recent advances in personalized federated learning for edge computing scenarios was provided. Firstly, the background and scientific significance of personalized federated learning were elaborated, followed by rigorous analysis of data heterogeneity’s impacts. …”
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A Micro-Computed Tomography-Based Simplified Approach to Measure Body Composition, Osteoporosis, and Lung Fibrosis in Mice by Madeleine Landau, Binghao Zou, Ziqi Yang, Brian Rowan, Muralidharan Anbalagan

“…This protocol on the use of micro-CT aims to bridge that gap by providing a clear, step-by-step guide to acquire and analyze micro-CT images from mice for quantitative data. By exclusively detailing the necessary procedural steps from start to finish and overcoming complex user interfaces during imaging operations and analysis, this protocol will equip new micro-CT users with the ability to measure mouse body composition (bone, body fat, and lean muscle mass) and identify and quantify lung fibrosis. …”
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Prediction Ability Analysis of Phenomenological Strength Criteria for Composites by Huang T.

“…The article examines and assesses the phenomenological strength theory of composite materials. A comparative analysis of the theoretical envelopes was conducted for each criterion. …”
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Effects of substituting TV-watching time with physical activities or sleep on incident major depression. Results from the lifelines cohort study by Rosa Palazuelos-González, Richard C. Oude Voshaar, Aart C. Liefbroer, Nynke Smidt

Subjects: “…compositional data analysis…”
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The goldilocks days represent optimal time-use to prevent obesity, low physical performance, risk and fear of falling in older adults by Jan Vindiš, Jana Pelclová, Paulína Jašková, Karel Hron

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Dust impact on photovoltaic modules: Global data, predictive models, emphasis on chemical composition by Hussam Almukhtar, Tek Tjing Lie, Wisam Al-Shohani

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Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach. by Sebastien F M Chastin, Javier Palarea-Albaladejo, Manon L Dontje, Dawn A Skelton

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GIS Analysis Model Integration and Service Composition Prospects by L. Ding, P. Cai, W. Huang, H. Zhang, F. Ding, W. Zhao, D. Tang, Z. Wang

“…In the context of rapidly evolving geospatial technologies, this study provides a comprehensive review of GIS model integration and service composition, emphasizing their critical roles in enhancing spatial analysis accuracy, decision-making efficiency, and cross-domain interoperability. …”
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COMPARATIVE ANALYSIS AND ASSESSMENT OF THE LEVEL OF DIGITALIZATION OF ARMENIAN AND RUSSIAN ORGANIZATIONS BY TYPES OF ECONOMIC ACTIVITY by Tatul M. Mkrtchyan, Manuk E. Movsisyan, Lusine V. Karapetyan, Tatevik G. Vardanyan

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Training and onboarding initiatives in high energy physics experiments by Allison Reinsvold Hall, Nicole Skidmore, Gabriele Benelli, Ben Carlson, Ben Carlson, Claire David, Jonathan Davies, Wouter Deconinck, David DeMuth, Peter Elmer, Rocky Bala Garg, Stephan Hageböck, Killian Lieret, Valeriia Lukashenko, Valeriia Lukashenko, Sudhir Malik, Andy Morris, Heidi Schellman, Graeme A. Stewart, Jason Veatch, Michel Hernandez Villanueva

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R‐DP: A risk‐adaptive privacy protection scheme for mobile crowdsensing in industrial internet of things by Lisha Shuai, Jiamin Zhang, Yu Cao, Min Zhang, Xiaolong Yang

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Computational Cost and Implementation Analysis of a Wavelet-Based Edge Computing Method for Energy-Harvesting Industrial IoT Sensors by Jaromir Konecny, Jan Choutka, Radim Hercik, Jiri Koziorek, Dangirutis Navikas, Darius Andriukaitis, Michal Prauzek

“…Unlike existing implementations that rely on computationally complex instructions, this approach optimizes the wavelet transform (WT) for resource-limited microcontrollers (MCUs) without sacrificing data quality. …”
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Research on Reconstructing Regional Business Cycle Analysis System Based on Electricity Big Data—A Case Study in Guangxi Province by Zhiwei Cui, Qideng Luo, Haoyang Ji, Yang Xu, Junyi Shi

Subjects: “…composite index…”
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Comparative analysis of selected data recovery software by Tomasz Szymczyk, Rafał Wróbel

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Trajectory analysis using data mining techniques by Gary Reyes

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Bregman divergences for physically informed discrepancy measures for learning and computation in thermomechanics by Andrieux, Stéphane

“…This study is motivated by the need of “discrepancy measures” between physically constrained fields that are used both in traditional algorithms, analysis methods and data driven modelling or applications as well.We give also a characterization of symmetrical Bregman divergences through their generating functions which can only be quadratic forms. …”
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