LAND USE AND LAND COVER CHANGES ALONG THE BOTETI-THAMALAKANE RIVER SYSTEM IN NGAMILAND DISTRICT, BOTSWANA


Deep Sensing: Inertial and Ambient Sensing for Activity Context Recognition Using Deep Convolutional Neural Networks

With the widespread use of embedded sensing capabilities of mobile devices, there has been unprecedented development of context-aware solutions.This allows the proliferation of various intelligent applications, such as those for remote health and lifestyle monitoring, intelligent personalized services, etc.However, activity context recognition base

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Expected Duration of Dynamic Markov PERT Networks

Abstract : In this paper , we apply the stochastic dynamic programming to approximate the mean project completion time in dynamic Markov PERT networks.It is assumed that the activity durations are independent random variables with exponential distributions, but some social and economical problems influence the mean of activity kashayam dress durati

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