Showing 201 - 220 results of 28,739 for search '"computing"', query time: 0.07s Refine Results
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    THE ROLE OF COMPUTED TOMOGRAPHY IN THE DIAGNOSIS OF RETROPERITONEAL FIBROSIS by A. O. Rudnev, M. N. Maxim, V. B. Vizhgorodsky, A. V. Kiryushin, S. Yu. Kotans

    Published 2018-06-01
    “…Although the final diagnosis can be made only on the basis of biopsy, computed tomography is of great importance for the evaluation of the pathological process, it allows diagnosing the disease, assessing its prevalence and observing the dynamics during treatment. …”
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    Methodological reasoning of the computer literacy standard for students by Valentina Dagienė

    Published 2002-12-01
    “… This paper discusses the computer literacy standard of students with respect to the European Computer Driving License (ECDL) and general informatics curricula of comprehensive schools. …”
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    Computing nasalance with MFCCs and Convolutional Neural Networks. by Andrés Lozano, Enrique Nava, María Dolores García Méndez, Ignacio Moreno-Torres

    Published 2024-01-01
    “…Nasalance is a valuable clinical biomarker for hypernasality. It is computed as the ratio of acoustic energy emitted through the nose to the total energy emitted through the mouth and nose (eNasalance). …”
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    Computer-Aid System for Automated Jaundice Detection by Ahmad Yaseen Abdulrazzak, Saleem Latif Mohammed, Ali Al-Naji, Javaan Chahl

    Published 2023-03-01
    “…In this study, jaundice or hyperbilirubinemia is diagnosed using a computer vision system based on a random forest algorithm. …”
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    Computationally secure steganography based on speech synthesis by Menghan LI, Kejiang CHEN, Weiming ZHANG, Nenghai YU

    Published 2022-06-01
    “…The steganography theory of computing security has been proposed for a long time, but it has not been widely adopted for mainstream steganography using multimedia data as a carrier.The reason is that the prerequisite for calculating secure steganography is to obtain the accurate distribution of the carrier or to accurately sample according to the carrier distribution.However, naturally collected images and audio/video cannot meet this prerequisite.With the development of deep learning technology, various machine-generated media such as image generation and synthesized speech, have become more and more common on the Internet and then generated media has become a reasonable steganography carrier.Steganography can use normal generated media to cover up secret communications, and pursue in distinguishability from normal generated media.The distribution learned by some generative models is known or controllable, which provides an opportunity to push computational security steganography for practical use.Taking the widely used synthetic speech model as an example, a computationally secure symmetric key steganography algorithm was designed and implemented.The message was decompressed into the synthetic audio according to the decoding process of arithmetic coding based on the conditional probability of sample points, and the message receiver had the same generation model to complete the message extraction by reproducing the audio synthesis process.The public key steganography algorithm was additionally designed based on this algorithm, which provided algorithmic support for the realization of full-flow steganographic communication.Steganographic key exchange ensured the security of steganographic content and the security of steganographic behavior was also achieved.The theoretical analysis showed that the security of the proposed algorithm is determined by the randomness of the embedded message.And the steganography analysis experiment further verified that the attacker cannot distinguish the synthesized carrier audio from the encrypted audio.…”
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    Computational and experimental study of swirling ring flow by A. A. Kishkin, Yu. N. Shevchenko, A. A. Zuev, D. A. Zhuikov

    Published 2024-03-01
    “…In the course of work on the energy perfection of thermal control systems for spacecraft with a twophase circuit, the issue of partial regeneration of thermal energy into electrical energy in a low-speed turbogenerator is considered, part of the design work requires computational modeling during the transport of swirling flows in the axial direction from the external input to the input plane into the impeller, which determines the need for theoretical and experimental elaboration of the problem. …”
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