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  1. 7861
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  5. 7865

    AI powered blockchain framework for predictive temperature control in smart homes using wireless sensor networks and time shifted analysis by Cong Feng, Ahmed Kateb Jumaah Al-Nussairi, Mustafa Habeeb Chyad, Narinderjit Singh Sawaran Singh, Jianyong Yu, Amirfarhad Farhadi

    Published 2025-05-01
    “…Additionally, the time-shifted data processing reduces peak-time computational load by 22%, contributing to overall energy efficiency and system scalability. …”
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  6. 7866

    UAV Trajectory Control and Power Optimization for Low-Latency C-V2X Communications in a Federated Learning Environment by Xavier Fernando, Abhishek Gupta

    Published 2024-12-01
    “…The simulation results reveal that the weighted total energy consumption of the OTFS-based system decreases up to 10% when combined with federated learning to locally process the sensor data at the vehicles and communicate the processed local models to the UAV. …”
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  7. 7867

    Investigation of errors in the representation of 3D models in determining the parameters of parts of devices BY the example of a two-mass rotating system with elastic coupling by S. A. Bratchikov, E. A. Abramova

    Published 2021-01-01
    “…Methods of model representation of 3D objects in computer-aided design systems are considered, as well as methods for solving problems of determining strain under the applied load. …”
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  8. 7868
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    The Fast Discrete Tchebichef Transform Algorithms for Short-Length Input Sequences by Aleksandr Cariow, Marina Polyakova

    Published 2025-05-01
    “…At present, DTT is widely applied in signal processing, image compression, and video coding. The review of the articles related to fast DTT algorithms has shown that such algorithms are mainly developed for input signal lengths 4 and 8. …”
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  10. 7870

    METHODS FOR EARLY DETECTION OF LUNG CANCER (REVIEW) by E. O. Rodionov, S. A. Tuzikov, S. V. Miller, D. E. Kulbakin, V. I. Chernov

    Published 2020-09-01
    “…The analysis of the world literature confirming the prospects of methods of non-invasive diagnostics of tumor processes based on the analysis of exhaled air was carried out. …”
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    Combined coding of bit planes of images by B. J.S. Sadiq, V. Yu. Tsviatkou, M. N. Bobov

    Published 2019-12-01
    “…Known effective compression encoders separately encode the bit planes of the image or transform coefficients, which leads to an increase in computational complexity due to multiple processing of each pixel. …”
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    EXPANDING ACADEMIC VOCABULARY WITH AN INTERACTIVE ON-LINE DATABASE by Marlise Horst, Tom Cobb, Ioana Nicholae

    Published 2005-05-01
    “…The suite of tools were designed to foster retention by engaging learners in deep processing, an aspect that is often described as missing in computer exercises for vocabulary learning. …”
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  15. 7875

    4D-CTA image and geometry dataset for kinematic analysis of abdominal aortic aneurysmsZenodo by Mostafa Jamshidian, Adam Wittek, Saeideh Sekhavat, Farah Alkhatib, Jens Carsten Ritter, Paul M. Parizel, Donatien Le Liepvre, Florian Bernard, Ludovic Minvielle, Antoine Fondanèche, Jane Polce, Christopher Wood, Karol Miller

    Published 2025-08-01
    “…The AAA geometries were extracted using an automated image processing pipeline comprising AI-based segmentation with PRAEVAorta software by NUREA (https://www.nurea-soft.com/), automated post-processing with the ISML-UWA in-house code (https://arxiv.org/abs/2403.07238), and surface model extraction using the freely available BioPARR (Biomechanics-based Prediction of Aneurysm Rupture Risk) (https://bioparr.mech.uwa.edu.au/) and 3D Slicer (https://www.slicer.org/) software packages [2,3]. …”
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  16. 7876

    The Wrong Tool for the Right Job: Composition on 8-bit Machines by Tobias Banks

    Published 2019-12-01
    “…Few artistic mediums exemplify the conflict between possibilities and limitations, and the sheer ingenuity of artists as they balance these two forces, as well as computer music does. This paper will delve into the rich tradition of demoscene and videogame music, that flourished in the early days of personal computers and gaming consoles, to examine how the hardware used by different composers affected their processes. …”
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    Towards Analysis of Covariance Descriptors via Bures–Wasserstein Distance by Huajun Huang, Yuexin Li, Shu-Chin Lin, Yuyan Yi, Jingyi Zheng

    Published 2025-07-01
    “…Among various classifiers used in BCI, those directly classifying covariance matrices using Riemannian geometry find broad applications not only in BCI, but also in diverse fields such as computer vision, natural language processing, domain adaption, and remote sensing. …”
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