A Novel Efficient Certificateless Signature Scheme for the Prevention of Content Poisoning Attack in Named Data Networking-Based Internet of Things by Saddam Hussain, Syed Sajid Ullah, Abdu Gumaei, Mabrook Al-Rakhami, Ijaz Ahmad, Syed Muhammad Arif

“…” Besides, the formal proof we also compared the designed scheme with some existing solutions to show the cost-efficiency in terms of communication overhead and computation cost. …”
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Snowdrift‐Permitting Simulations of Seasonal Snowpack Processes Over Large Mountain Extents by Christopher B. Marsh, Zhibang Lv, Vincent Vionnet, Phillip Harder, Raymond J. Spiteri, John W. Pomeroy

“…However, these spatial scales can be computationally intractable for large extents. In this work, the multiscale Canadian Hydrological Model (CHM) was applied to simulate snowpacks at snowdrift‐permitting scales (≈50 m) across the Canadian Cordillera and adjacent regions (1.37 million km2) forced by downscaled atmospheric data. …”
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A Systematic Approach for PLL-Based Zeta Power Converter Control by Nader El-Zarif, Christian Jesus B. Fayomi, Mohamed Ali, Mostafa Amer, Ahmad Hassan, Yvon Savaria

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Battery Electric Vehicles: A Study on State of Charge and Cost-Effective Solutions for Addressing Range Anxiety by Jason Pollock, Perk Lin Chong, Manu Ramegowda, Nashwan Dawood, Hossein Habibi, Zhonglan Hou, Foad Faraji, Pengyan Guo

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Ultra-Lightweight Collaborative SLAM for Robot Swarms by Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini

“…Remarkably, we achieve a mapping accuracy below 30cm, a result comparable to high-end state-of-the-art solutions while reducing the cost, memory, and computation requirements by two orders of magnitude. …”
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Origins of the anomalous Hall conductivity in the symmetry enforced Fe3GeTe2 nodal-line ferromagnet by Mikel García-Díez, Haim Beidenkopf, Iñigo Robredo, M G Vergniory

“…Finally, our calculations suggest that electron doping could increase the AHC up to four times compared to its value at the computed Fermi level.…”
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Simulating and Verifying a 2D/3D Laser Line Sensor Measurement Algorithm on CAD Models and Real Objects by Rok Belšak, Janez Gotlih, Timi Karner

“…This work not only reduces the need for physical prototyping, thereby contributing to sustainability, but also supports AI training by generating accurate synthetic data. …”
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Experimental validation of parked loads for a floating vertical axis wind turbine: wind–wave basin tests by Md. S. Hossain, D. T. Griffith

“…The datasets from this experimental work can serve as benchmarks for validating other computational parked load estimating tools, while the semi-numerical tool provides a way to gain insight into the unmeasurable quantities.…”
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Trench MOS Schottky Diodes: A Physics-Based Analytical Model Approach to Charge Sharing by Mohammed Tanvir Quddus, Alvaro D. Latorre-Rey, Zeinab Ramezani, Mihir Mudholkar

“…This work contributes to a valuable tool for TMBS device design, offering insights into electric field management that support high-efficiency, high-voltage applications, including power supplies, automotive electronics, and renewable energy systems.…”
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Using feature importance as an exploratory data analysis tool on Earth system models by D. Ries, K. Goode, K. McClernon, B. Hillman

“…Our analyses focus on data from ensembles of Earth system models (ESMs) which provide data on different climate states and conditions. We elect to work with ESM ensembles since they allow us to compare feature importance across alternative scenarios not available with observed data. …”
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Qualitative Analysis of a COVID-19 Mathematical Model with a Discrete Time Delay by Abraham J. Arenas, Gilberto González-Parra, Miguel Saenz Saenz

“…This aspect is a crucial part of this work since other models assume exponential transition for this stage, which can be unrealistic. …”
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An interpretable and adaptable data-driven model for performance prediction in thermal plants by G. Prokhorskii, M. Preißinger, S. Rudra, E. Eder

“…By balancing predictive accuracy, interpretability, and transferability across plants, this work provides a practical framework for robust, data-driven monitoring and decision support in complex industrial power systems.…”
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A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos. by Shagun Sharma, Kalpna Guleria, Ayush Dogra, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…Medical tests, including medical resonance imaging (MRI), computed tomography (CT) scans, biopsy, and electroencephalograms are used for early detection of glioma. …”
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Association Between Dietary Flavonoid Intake and Cardiovascular Health in Cancer Survivors: A Cross-Sectional Study by Li J, Chen G, Xie Z, Lin J, Luo S, Xu S

“…Then, weighted quantile sum (WQS) regression and quantile-based g-computation (qgcomp) models were performed to assess the mixed effects of the six flavonoid subclasses and to determine the major flavonoid types. …”
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Automatic segmentation of chest X-ray images via deep-improved various U-Net techniques by Sedat Orenc, Mehmet Sirac Ozerdem, Emrullah Acar, Musa Yilmaz

“…These models also incurred significantly higher computational costs. In contrast, U-Net16 and U-Net32 demonstrated reduced segmentation accuracy compared to U-Net9. …”
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The series solutions of fractional foam drainage and fractional modified regularized long wave problems by Abdul Hamid Ganie, N. S. Alharthi, Adnan Khan, Abdulkafi Mohammed Saeed, Mohd Asif Shah, Saurav Mallik

“…Abstract In general, integer order differential equations fall short of adequately describing a range of phenomena in many disciplines of science and engineering when compared to fractional order differential equations. …”
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A novel and optimized design of D-latch and D flip-flop for QCA-based digital systems by Pezhman Kiani Vosta, Mohammad Gholami

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LiDAR-Based Road Cracking Detection: Machine Learning Comparison, Intensity Normalization, and Open-Source WebGIS for Infrastructure Maintenance by Nicole Pascucci, Donatella Dominici, Ayman Habib

“…A key contribution of this work is the integration of geospatial analytics into an interactive, open-source WebGIS environment—developed using Blender, QGIS, and Lizmap—to support predictive maintenance planning. …”
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The effect of prone positioning on maternal haemodynamics and fetal wellbeing in the third trimester-A primary cohort study with a scoping review. by Laura Ormesher, Jessica Catchpole, Linda Peacock, Heather Pitt, Anastasia Fabian-Hunt, Dexter Hayes, Claudia Popp, Jason M Carson, Raoul van Loon, Lynne Warrander, Karli Büchling, Alexander E P Heazell

“…The decline in CO may be due to caval compression, as supported by the computational model. Further work is needed to optimise the safety of prone positioning in pregnancy.…”
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Overview of research on trusted attestation technology of cloud virtualization platform by Bibo TU, Jie CHENG, Haojun XIA, Kun ZHANG, Ruina SUN

“…With the rapid development of cloud computing， the security issues of cloud platforms have also attracted much attention.Trusted computing is an essential supporting technology in the cloud computing security system.Trusted attestation is an important feature in trusted computing.The use of trusted attestation technology verifies whether the cloud virtualization platform is trustworthy， thereby providing a foundation for ensuring the security of the cloud platform.Now based on the definition of trusted attestation， the research progress of key technologies such as the root of trust virtualization， platform identity authentication， platform status certification， and trusted attestation framework for virtual machines were systematically sorted out， typical schemes were analyzed and compared.Furthermore， the limitations of existing work were discussed.Finally， the future research trend of this area were pointed out.…”
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