ABSTRAT: Road extraction from high-resolution remote sensing images is a challenging but hot research topic in the past decades. A large number of methods are
ABSTRAT: Road extraction from high-resolution remote sensing images is a challenging but hot research topic in the past decades. A large number of methods are
ABSTRAT: Surveillance videos are able to capture a variety of realistic anomalies. In this paper, we propose to learn anomalies by exploiting both normal and
ABSTRAT: The manuscript represents a comprehensive and systematic literature review on the machine learning methods in the emerging applications of the smart cities. Application domains
ABSTRAT: Nowadays digitalization gaining popularity because of seamless, easy and convenience use of e- commerce. It became very rampant and easy mode of payment. People
ABSTRAT: Traffic congestion is becoming one of the critical issues with increasing population and automobiles in cities. Traffic jams not only cause extra delay and
ABSTRAT: This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may
ABSTRAT: Obstructive Sleep Apnoea (OSA) occurs when obstruction happens repeatedly in the airway during sleep due to relaxation of the tongue and airway-muscles. Usual indicators
ABSTRAT: Stock market or Share market is one of the most complicated and sophisticated way to do business. Small ownerships, brokerage corporations, banking sector, all
ABSTRAT: Securing Internet of Things (IoT)-enabled cyber- physical systems (CPS) can be challenging, as security solutions developed for general information / operational technology (IT /
ABSTRAT: This paper describes the architecture of a door phone embedded system with interactive voice response. Because speech technology is not 100% reliable, the emphasis