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Prediction of Reverberation time in university classrooms using Neural Network
(Universiti Kebangsaan Malaysia, 2007)
Reverberation time is fundamental to the study of the acoustics of an enclosed space. An important objective of architectural acoustics is to predict the reverberation time in an enclosed space. Reverberation time is also ...
Prediction of classroom speech clarity using backpropagation neural network
(Universiti Kebangsaan Malaysia, 2007-11-27)
A classroom's acoustic design should be constructed so that the highest possible degree of speech intelligibility is achieved for teachers and students. In achieving the highest possible speech intelligibility, the acoustical ...
Classroom speech intelligibility prediction using backpropagation Neural Network
(Coimbatore Institute of Technology, 2007-08-27)
In terms of individual communication, speech is the most important and efficient means, even in today's multi-media society. Thus, classrooms are mainly used for delivering speech between lecturers and students, it is ...
Intelligent vehicle fault diagnosis system using Neural Networks
(Universiti Teknologi Mara, 2007-03-09)
Diagnosis has become a very complex and critical task in determining the condition of vehicle engine. Sound emitted by the engine is always considered to be an annoying noise but a detaiedl analysis of the sound signal ...
Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2007-11-25)
Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ...