Results 41 to 50 of about 8,891 (303)
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Digital Audio Compression [PDF]
, 2003 Audio data requires a large number of bits for representation. For example, CD quality stereo audio requires 176.4 Kbytes/sec data rate for transmission or storage. This bandwidth is too large for many applications such as voice transmission over the Internet. Even when there is no live audio transmission, the storage cost may be high. An audio CD only
openaire +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Advanced Intelligent Discovery, EarlyView.Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
AAC compression detection based on scaling factor transition probability
Dianxin kexue, 2017 Audio compression history detection is an important part of audio forensics,which is important to detect whether audio has been tampered or forged.An algorithm of AAC audio compression history detection was presented by using the transition probability ...
Qijuan HUANG, Rangding WANG, Diqun YAN
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Dataset for file fragment classification of audio file formats
BMC Research Notes, 2019 Objectives File fragment classification of audio file formats is a topic of interest in network forensics. There are a few publicly available datasets of files with audio formats.
Atieh Khodadadi, Mehdi Teimouri
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Robust Audio Watermarks in Frequency Domain
Journal of Telecommunications and Information Technology, 2014 In this paper an audio watermarking technique is presented, using log-spectrum, dirty paper codes and LDPC for watermark embedding. This technique may be used as a digital communication channel, transmitting data at about 40 b/s.
Przemysław Dymarski, Robert Markiewicz
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Advanced Intelligent Discovery, EarlyView.Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Dual-Domain Audio Watermarking Algorithm Based on Flexible Segmentation and Adaptive Embedding
IEEE Access, 2019 This paper proposes a novel dual-domain audio watermarking approach based on flexible segmentation and adaptive embedding aimed to improve robustness and imperceptibility.
Yifan Luo +3 more
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Dynamic Range Compression and the Semantic Descriptor Aggressive
Applied Sciences, 2020 In popular music productions, the lead vocal is often the main focus of the mix and engineers will work to impart creative colouration onto this source.
Austin Moore
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