With the boom of smart phone technology for professional and personal use; there has been a massive increase in the usage of online business. The people have accustomed themselves to using this technology and now every day ...

Modern world has provided us the ability to communicate with each other all over the world instantaneously. Total sent emails in 2021 reached an estimated staggering number of 319.6 billion and is expected to cross 376.4 ...

Health has always been a concerned factor of human life. Famous quote "Health is Wealth" tells importance of it. Due to missing medical appointments huge losses are caused in the health system. In this thesis we work on ...

Recommender systems RS(s) are the smart systems which can compute the preferences of items of various users. It suggests only the most relevant and appropriate products/ information in which a particular user is interested ...

Recommender systems are intellectual systems of information filtering system that makes relevant suggestions for customers. Main purpose is to generate only relevant information for customers to improve their experience. ...

The adoption ofWeb Services is rapidly increasing on theWorldWideWeb, which is giving rise to the demand of an efficient Web Service quality evaluation system. Web service is a software based application providing standardized ...

Road accidents have increased by a prominent number around the globe from the past few years and have become a major reason for the harm and loss of human life. To encounter this problem, the researchers are trying to ...

Recommender systems are thought to be one of the most successful and useful applications in the domain of machine learning and artificial intelligence. These systems save users the hassle of going through a range of products ...

An algorithm for the recognition of handwritten English alphabet characters based on Hidden Markov models (HMMs) and Discrete Wavelet Transform (DWT) is proposed. In order to additional reduction in computational complexity ...

Classification refers to identify different classes of labeled or unlabeled data on the basis of features, distance between different features and similarity between different data objects. The classification of IoT data ...