The concept of relevancy is a most blazing topic in information regaining process. In the last few years there is a drastically increase the digital data so there is a need to increase the accuracy of information regaining process .Semantic Similarity measure the similarity between word-pair by using WordNet as ontology.We have analyzed the different category of semantic similarity algorithm to compute semantic closeness between word-pair and evaluate its value by using WordNet.We have compared various algorithms on Miller- Charles data set of 30 word-pair is used to rank them category wise.
Machine Learning has become an important tool in day to day life or we can say it's a powerful tool in most of the fields which we want to automate. Machine Learning is used to develop algorithms which can learn from the data, which is either labeled, unlabeled or learn from the environment. Machine Learning is used in most of the fields and Especially in health care sector it takes much more benefits through proper decision and prediction techniques. Machine Learning in health care is a scientific study, so we have to store, retrieve and proper use of information, data and provide knowledge to the problems facing in the healthcare sector and also knowledge for the proper decision making. Due to these technologies there is a huge development in health care sectors over the years. For analysis of medical data, medical experts use the machine learning tools and techniques to identify the risks and to provide proper diagnosis and treatment. The paper is based on survey in terms of health care management system using different machine learning approaches and techniques.
Our face reflects our feelings towards anything and everything we see, smell, teste or feel through any of our senses. Hence multiple attempts have been made since last few decades towards understanding the facial expressions. Emotion detection has numerous applications since Safe Driving, Health Monitoring Systems, Marketing and Advertising etc. We propose an Automatic Depression Detection (ADD) system based on Facial Expression Recognition (FER). We propose a model to optimize the FER system for understanding seven basic emotions (joy, sadness, fear, anger, surprise, disgust and neutral) and use it for detection of Depression Level in the subject. The proposed model will detect if a person is in depression and if so, up to what extent. Our model will be based on a Deep Convolution Neural Network (DCNN).
In computing, Blockchain is a decentralised, point-to-point program that provides a safe yet verifiable technique for secure distributed validation. Blockchain is a type of distributed transaction validation system. It is widely used in a variety of fields, including the finance sector, the Internet - Of - things, big data, virtualization, and edge computing, to name a few. Artificial intelligence technology, on the other hand, is having a substantial impact on the intellectual growth of a wide range of industries. Blockchain is a difficult technology that represents the important and influential vision and provide a comprehensive perspective to internet security. Blockchain is a hard technologies that represent an inventive and influential vision. When it comes to secure communication, Blockchain technology is always evolving and has the opportunity to deliver about substantial changes in how we work and live in the 21st century. Blockchain technology is continually evolving and become the next paradigms shifting technology. Our new problem is to figure out how we will keep up with the technological developments brought about by this revolutionary technology. A general overview of Blockchain technology, as well as its possibility to assist to future development, is presented in this article, which also proposes many study avenues for further investigation.
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