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    Practicality of training a quantum-classical machine in the noisy intermediate-scale quantum era by Tarun Dutta, Alex Jin, Clarence Liu Huihong, José Ignacio Latorre, Manas Mukherjee

    Published 2025-08-01
    “…Summary: Advancements in classical computing have propelled machine learning applications, yet inherent limitations persist in terms of energy, resource, and speed. …”
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  4. 4584

    Experimental and Computational Study of the Aerodynamic Characteristics of a Darrieus Rotor with Asymmetrical Blades to Increase Turbine Efficiency Under Low Wind Velocity Conditio... by Muhtar Isataev, Rustem Manatbayev, Zhanibek Seydulla, Nurdaulet Kalassov, Ainagul Yershina, Zhandos Baizhuma

    Published 2025-04-01
    “…Experimental tests were conducted in a wind tunnel at various air flow velocities (ranging from 3 m/s to 15 m/s), measuring rotor rotation frequency, torque, and thrust force. The computational simulation used the ANSYS 2022 R2 Fluent software package, where CFD simulations of air flow around both rotor configurations were performed. …”
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  5. 4585

    CHERI-Crypt: Transparent Memory Encryption on Capability Architectures by Jennifer Jackson, Minmin Jiang, David Oswald

    Published 2025-03-01
    “…CHERI is an instruction set architecture extension and has been applied to a small number of processors, including various versions of RISC-V. One of the benefits of CHERI is that it inherently provides segregation or compartmentalisation of software, making it suitable for supporting other types of applications such as Trusted Execution Environments, where sensitive data and computation is conducted inside a secure enclave, away from the rest of the untrusted operating system and services. …”
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    Criteria for Evaluating Digital Technology Used to Support Computational Thinking via Inquiry Learning—The Case of Two Educational Software Applications for Mathematics and Physics... by Aikaterini Bounou, Nikolaos Tselios, George Kaliampos, Konstantinos Lavidas, Stamatios Papadakis

    Published 2025-03-01
    “…The main criteria focus on six key areas: (a) production of meaning, (b) support in problem formulation, (c) ability to manage processes easily, (d) support in expressing solutions, (e) support in executing and evaluating solutions, and (f) ability to articulate and reflect on processes and solutions. …”
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    Analysis of the Relationship Between Scale Invariant Feature Transform Keypoint Properties and Their Invariance to Geometrical Transformation Applied to Cone-Beam Computed Tomograp... by Diletta Pennati, Leonardo Bocchi

    Published 2024-12-01
    “…Image registration is a crucial post-processing technique in biomedical imaging, enabling the alignment and integration of images from various sources to facilitate accurate diagnosis, treatment planning, and longitudinal studies. …”
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  16. 4596

    ANATOMICAL VARIANTS OF PYRIFORM APERTURES AND NASAL BONES IN PATIENTS WITH NORMAL CONFIGURATION AND DIFFERENT AESTHETIC DEFORMITIES OF EXTERNAL NOSE USING MULTISLICE COMPUTED TOMOG... by D. A. Lezhnev, D. V. Davydov, M. O. Dutova, V. V. Petrovskaya

    Published 2018-12-01
    “…We performed a retrospective analysis of multi-slice computed tomography (MSCT) data of 2737 patients with the image processing (multiplanar and 3D-volume rendering). …”
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  17. 4597

    Accelerated Computation of Linear Complementarity Problem in Dexterous Robotic Grasping via Newton-Subgradient Non-Smooth Multi-Step Greedy Kaczmarz Method by Zhiwei Ai, Chenliang Li

    Published 2025-06-01
    “…Real-time computational capability for simultaneous grasping force and displacement determination constitutes a critical enabler for stable and reliable grasping performance in dexterous robotic grasping. …”
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  18. 4598

    Automated Discrimination of Appearance Quality Grade of Mushroom (<i>Stropharia rugoso-annulata</i>) Using Computer Vision-Based Air-Blown System by Meng Lv, Lei Kong, Qi-Yuan Zhang, Wen-Hao Su

    Published 2025-07-01
    “…In the classification module, the cap and stalk regions were extracted using the YOLOv8-seg algorithm, then post-processed using OpenCV based on quantitative grading indexes, forming the proposed SegGrade algorithm. …”
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