Analysis of Randomization Capacity in Quantum Noise Randomized Cipher System by Mingrui Zhang, Shuang Wei, Yuang Li, Yajie Li, Yongli Zhao, Jie Zhang

“…We propose and verify a method for analyzing the randomization capacity in a 160 km quantum noise randomized cipher system with different data modulation formats. The randomization capacity is defined as the difference in mutual information between Alice and Bob while the randomization level is at 0 and at its maximum, under the condition of error-free transmission. …”
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Resilient execution of distributed X-ray image analysis workflows by Hai Duc Nguyen, Tekin Bicer, Bogdan Nicolae, Rajkumar Kettimuthu, E. A. Huerta, E. A. Huerta, Ian T. Foster, Ian T. Foster

“…Long-running scientific workflows, such as tomographic data analysis pipelines, are prone to a variety of failures, including hardware and network disruptions, as well as software errors. …”
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Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling by Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, Travis J. Esau, Alaba Boluwade, Rehan Sadiq

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Enhancing Reliability Engineering Through Weibull Distribution in R by Sameera Othman

“…Real data analysis involves Weibull using goodness-of-fit criteria. …”
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Comparative analysis of different PV technologies under the tropical environments by V. Femin, R. Veena, M. I. Petra, S. Mathew

“…With a Normalized Root Mean Square Error (NRMSE) of over 96%, these models demonstrated high accuracy in capturing the ramping characteristics of the studied PV systems. …”
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Prediction and analysis of power consumption and power loss at industrial facilities by E. Y. Abdullazyanov, E. I. Gracheva, A. Alzakkar, M. F. Nizamiev, O. A. Shumikhina, S. Valtchev

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Analysis of Settlement of Group Pile Foundation in Linear Viscoelastic Soil by Long Li, Yousheng Deng

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Comprehensive Prediction Model for Analysis of Rolling Bearing Ring Waviness by Marek Šafář, Leonard Dütsch, Marta Harničárová, Jan Valíček, Milena Kušnerová, Hakan Tozan, Ivan Kopal, Karel Falta, Cristina Borzan, Zuzana Palková

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A Novel Two-Stage Approach for Nonlinearity Correction of Frequency-Modulated Continuous-Wave Laser Ranging Combining Data-Driven and Principle-Based Strategies by Shichang Xu, Guohui Yuan, Hongwei Zhang, Chunyu Hou, Zhirong Li, Pansong Zhang, Wenhao Xu, Zhuoran Wang

“…To address the failure of the EO-PLL caused by a bandwidth limitation of the digital loop filter (DLF), a novel pre-correction mechanism is developed based on a data-driven approach. In this mechanism, the neural network (NN) model establishes a mapping relationship between the input and output of the real laser-modulation system, which effectively simulates this physical system and avoids the risk of trial-and-error damage. …”
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Enhanced Seafloor Topography Inversion Using an Attention Channel 1D Convolutional Network Based on Multiparameter Gravity Data: Case Study of the Mariana Trench by Qiang Wang, Ziyin Wu, Zhaocai Wu, Mingwei Wang, Dineng Zhao, Taoyong Jin, Qile Zhao, Xiaoming Qin, Yang Liu, Yifan Jiang, Puchen Zhao, Ning Zhang

“…The AC1D grid demonstrated enhanced stability in multibeam bathymetric validation metrics and exhibited better consistency with multibeam bathymetry data and the GEBCO2023 grid. Power spectral density analysis revealed that AC1D effectively captured rich topographic signals when predicting terrain features with wavelengths below 6.33 km.…”
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Regionalization Analysis of Environmental Drivers of CONUS Grazing Land Biomass by Jisung Geba Chang, Feng Gao, Martha C. Anderson, Richard Cirone, Haoteng Zhao

“…This study focuses on regionalizing the analysis of grazing lands in the conterminous United States by combining earth observation data on Google Earth Engine, with machine learning techniques. …”
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CFD-FEM Analysis for Functionality Prediction of Multi-Gear Pumps by Olga Zharkevich, Olga Reshetnikova, Tatyana Nikonova, Alexandra Berg, Andrey Berg, Darkhan Zhunuspekov, Oxana Nurzhanova

“…The simulation results are confirmed by correlation analysis. The average approximation error is 5–7%.…”
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Evaluation and analysis of the precipitable water vapor in Inner Mongolia of China by Qi Bai, Qiaoli Kong, Xiaolong Mi, Wu Chen, Junsheng Ding, Yunqing Huang, Meiqi Li, Qian Li

“…This study aims to comprehensively evaluate and analyze the PWV in Inner Mongolia using the global navigation satellite system (GNSS), radiosonde (RS), the fifth-generation European Center for Medium-Range Weather Forecasts Reanalysis (ERA5), and the Second Modern-Era Retrospective Analysis for Research and Applications (MERRA-2) data. …”
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IoT-Enhanced Smart Parking Management With IncepDenseMobileNet for Improved Classification by Xiaoxia Zheng, Wenxi Feng, Ning Wang, Huhemandula

“…This research introduces an AI-driven approach to improve smart parking using deep learning and IIoT-based monitoring for real-time analysis. The data from January 2021 to June 2024 includes parking occupancy, vehicle classification, payment behaviors, and violations. …”
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Deep learning based quantitative cervical vertebral maturation analysis by Fulin Jiang, Abbas Ahmed Abdulqader, Yan Yan, Fangyuan Cheng, Tao Xiang, Jinghong Yu, Juan Li, Yong Qiu, Xin Chen

“…The data distribution to an 8:1:1 for training, validation, and testing. …”
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Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning by Alessio Maritan, Luca Schenato, Subhrakanti Dey

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Machine Learning-Based Objective Evaluation Model of CTPA Image Quality: A Multi-Center Study by Sun Q, Liu Z, Ding T, Shi C, Hou N, Sun C

“…Qihang Sun,1 Zhongxiao Liu,1 Tao Ding,1 Changzhou Shi,2 Nailong Hou,2 Cunjie Sun1 1Department of Medical Imaging, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, People’s Republic of China; 2School of Medical Imaging, Xuzhou Medical University, Xuzhou, People’s Republic of ChinaCorrespondence: Cunjie Sun, Affiliated Hospital of Xuzhou Medical University, No. 99 West Huaihai Road, Quanshan District, Xuzhou City, Jiangsu Province, 221006, People’s Republic of China, Tel +8618052268897, Email cunjiesxyfy@163.comPurpose: This study aims to develop a machine learning-based model for the objective assessment of CT pulmonary angiography (CTPA) image quality.Patients and Methods: A retrospective analysis was conducted using data from 99 patients who underwent CTPA between March 2022 and January 2023, alongside two public datasets, FUMPE (21 cases) and CAD-PE (30 cases). …”
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Real-Time DTM Generation with Sequential Estimation and OptD Method by Wioleta Błaszczak-Bąk, Waldemar Kamiński, Michał Bednarczyk, Czesław Suchocki, Andrea Masiero

“…Since DTM generation occurs simultaneously with data acquisition, the proposed algorithm also incorporates data reduction techniques to manage the large dataset. …”
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Application of Observation Perturbation-based EDA Method to CMA Ensemble Forecasting by Zhang Hanbin, Xia Yu, Cao Yajie

“…It can be concluded that the observation perturbation scheme developed for CMA-MESO aligns with actual observation error characteristics, it can address uncertainties in the model initial analysis field stemming from observations, and multiple sets of observations generated can effectively represent uncertainties in observations. …”
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Systematic review and meta-analysis: a critical examination of the methodology by S. Yu. Martsevich S.Yu., A. R. Navasardyan, K. V. Lobastov, M. V. Mikaelyan, E. V. Mikhaylenko, A. Yu. Suvorov, I. V. Schastlivtsev, O. N. Dzhioeva, V. V. Matveev, E. S. Akimova, V. V. Sytkov, E. Dubar, O. M. Drapkina

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