Results 271 to 280 of about 58,448 (306)
Some of the next articles are maybe not open access.
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +2 more sources
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
openaire +1 more source
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
openaire +1 more source
Synthesis and structure of Au19Ag4(S-Adm)15 nanocluster: Polymorphs and optical properties
Chinese Chemical Letters, 2021Xuemei Fu +2 more
exaly
Submuscular and Pre-pectoral ADM Assisted Immediate Breast Reconstruction: A Literature Review
Medicina (Lithuania), 2020Roberto Cuomo, Cuomo Roberto
exaly