Results 211 to 220 of about 26,232 (247)
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A PCM/ADM and ADM/PCM code converter
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1979In this paper a bidirectional code converter system that converts PCM to ADM and ADM to PCM directly in the digital domain is studied. The particular coding schemes chosen for study are the μ-255 PCM with the rate of 64 kbits/s and the continuously variable slope delta modulation (CVSD) with 32 kbits/s.
null Hong Jeong, null Chong Un
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Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '85, 1985
ADM is a system for developing user interfaces. We call it a dialog manager; it is similar to what others call a “User Interface Management System” [8]. Although ADM is still being developed, it has been used to construct several applications. A dialog manager divides an application into an “interaction handler,” which interacts with the user,
Andrew J. Schulert +2 more
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ADM is a system for developing user interfaces. We call it a dialog manager; it is similar to what others call a “User Interface Management System” [8]. Although ADM is still being developed, it has been used to construct several applications. A dialog manager divides an application into an “interaction handler,” which interacts with the user,
Andrew J. Schulert +2 more
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Pharmacophore Modeling for ADME
Current Topics in Medicinal Chemistry, 2013One of the major reasons for late-stage failure of drug candidates is due to problems uncovered in pharmacokinetics during clinical trials. There is now a general consensus for earlier consideration of these effects in the drug discovery process.
Osman F, Guner, J Phillip, Bowen
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Journal of Information Science, 2014
Probabilistic topic models are statistical methods whose aim is to discover the latent structure in a large collection of documents. The intuition behind topic models is that, by generating documents by latent topics, the word distribution for each topic can be modelled and the prior distribution over the topic learned.
Bagheri, Ayoub +2 more
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Probabilistic topic models are statistical methods whose aim is to discover the latent structure in a large collection of documents. The intuition behind topic models is that, by generating documents by latent topics, the word distribution for each topic can be modelled and the prior distribution over the topic learned.
Bagheri, Ayoub +2 more
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Current status and future directions of high-throughput ADME screening in drug discovery
Journal of Pharmaceutical Analysis, 2020Wilson Z Shou
exaly
Recent progresses in the exploration of machine learning methods as in-silico ADME prediction tools
Advanced Drug Delivery Reviews, 2015Peng Zhang, Lin Tao, Y Q Wei
exaly