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221
Computing nasalance with MFCCs and Convolutional Neural Networks.
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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222
Computation of Bearing Clearance in AUTOCAD by Graphic Method
Published 2002-01-01Get full text
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223
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224
Effective Reformulation for Resource Allocation in Computational Grid
Published 2009-01-01Get full text
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225
Computation Intelligence in Medicine—Data Analysis and Modelling
Published 2008-01-01Get full text
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226
Advances in Computational Fluid Dynamics and Its Applications
Published 2011-01-01Get full text
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227
Computing-network intelligence: research progress and prospects
Published 2024-10-01Subjects: “…computing-network convergence…”
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228
Computationally secure steganography based on speech synthesis
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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229
Analysing Academic Texts with Computational Linguistics Tools
Published 2020-07-01Subjects: Get full text
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230
Dynamic fairness evaluation framework for cloud computing
Published 2014-07-01Subjects: Get full text
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231
Computational and experimental study of swirling ring flow
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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Mathematical and Computational Analyses of Flow and Transport Phenomena
Published 2014-01-01Get full text
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234
Parallel Monte Carlo computations in SCore environment
Published 2004-12-01Subjects: Get full text
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235
Some Computational Formulas for D-Nörlund Numbers
Published 2009-01-01“…A generating function and several computational formulas for D-Nörlund numbers are also presented.…”
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236
Mobile edge computing and application in traffic offloading
Published 2016-07-01“…Mobile edge computing(MEC)makes it possible to deploy and provide service locally,which is close to the users,by enabling the IT and cloud computation capacity at the radio access network (RAN).Thus,MEC can improve the quality of experience (QoE) by reducing the latency,and decrease the network operation cost through reducing backhaul capacity requirement.Meanwhile,based on the network context information (location,network traffic load,radio information,etc) exposure to applications and services,MEC can further improve the QoE of user and provide the platform to third-party partners for application and service innovation.Besides the introduction of MEC,the detailed MEC platform was presented.Furthermore,the traffic offloading solution based on MEC was proposed and compared with the solution of local IP access and selected IP traffic offload (LIPA/SIPTO).In addition,the problems and challenges of the MEC were also discussed in detail.…”
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237
Research on security defense of mobile edge computing
Published 2021-02-01Subjects: “…mobile edge computing…”
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238
Advanced Computational Models for Accelerator-Driven Systems
Published 2012-01-01Get full text
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239
Computation of quark masses from string theory
Published 2025-01-01“…The computation at each point along this locus takes about half a day on a single twelve-core CPU. …”
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240
Biological computing with diffusion and excitable calcium stores
Published 2004-02-01Subjects: Get full text
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