Browsing by Title
Now showing items 38828-38847 of 78744
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Machine Design
(Universiti Malaysia Perlis (UniMAP), 2017-12) -
Machine Design
(Universiti Malaysia Perlis (UniMAP), 2016-06) -
Machine Design
(Universiti Malaysia Perlis (UniMAP), 2016-06) -
Machine Design
(Universiti Malaysia Perlis (UniMAP), 2013-06-17) -
Machine Design
(Universiti Malaysia Perlis (UniMAP), 2019-12) -
Machine Design
(Universiti Malaysia Perlis (UniMAP), 2018-12) -
Machine Dynamics
(Universiti Malaysia Perlis (UniMAP), 2013-01-14) -
Machine Dynamics
(Universiti Malaysia Perlis (UniMAP), 2013-01-14) -
Machine Dynamics
(Universiti Malaysia Perlis (UniMAP), 2014-01-14) -
Machine Dynamics
(Universiti Malaysia Perlis (UniMAP), 2012-06-08) -
Machine Dynamics
(2008-11-14) -
Machine Dynamics
(2007-11-13) -
Machine Dynamics
(2009-11-13) -
Machine learning analysis of multiparameter home telecare clinical measurement data for patient health stratification
(University of New South Wales, 2008-07)A medical decision support system (DSS) is designed to assist clinician in monitoring patient’s health by the means of providing reminders, advice as well as interpretation. This system is good enough in the sense of ... -
Machine learning approach for sudden cardiac arrest prediction based on optimal heart rate variability features
(American Scientific Publishers, 2014-08)Sudden Cardiac Arrest (SCA) is a devastating heart abnormality which leads to millions of casualty per year. Thus, early detection or prediction of SCA could save the human lives in greater scale. This present work is aimed ... -
Machine learning in lung sound analysis: a systematic review
(Elsevier Ltd., 2013)Machine learning has proven to be an effective technique in recent years and machine learning algorithms have been successfully used in a large number of applications. The development of computerized lung sound analysis ... -
Machine learning-based queueing time analysis in XGPON
(Universiti Malaysia Perlis (UniMAP), 2021-12)Machine learning has been a popular approach in predicting future demand. In optical access network, machine learning can best predict bandwidth demand so as to reduce delays. This paper presented a machine learning approach ... -
Machine Mechanism
(Universiti Malaysia Perlis (UniMAP), 2013-01-14) -
Machine Mechanism
(Universiti Malaysia Perlis (UniMAP), 2015-01-14) -
Machine Mechanism
(Universiti Malaysia Perlis (UniMAP), 2016-12)