Keywords : COVID

Impact of COVID-19 on Education

Yeshi Ngima; Dorjee Tsering

International Research Journal on Advanced Science Hub, 2020, Volume 2, Issue Special Issue ICAMET 10S, Pages 34-39
DOI: 10.47392/irjash.2020.196

The world has witnessed a standstill moment because of outbreak of coronavirus not sparing anyone across ethnicity, be it rich or poor, black or white, east or west, north or south. The pandemic has affected various sectors, education being one of it. According to UNESCO, close to 900 million learners have been affected by the closure of educational institutions. (11) Due to this pandemic, the educational institutions have to move from conventional mode of parting education to online mode. The research paper highlights advantages and disadvantages of imparting education through online mode during the pandemic situation.

Latent Approach in Entertainment Industry Using Machine Learning

Salini Suresh; Suneetha V; Niharika Sinha; Sabyasachi Prusty

International Research Journal on Advanced Science Hub, 2020, Volume 2, Issue Special Issue ICARD 2020, Pages 304-307
DOI: 10.47392/irjash.2020.106

Nowadays, a huge amount of data is available everywhere. Therefore, we need to prioritize analysing this dataset which would help us in gaining some meaningful information for the development of an algorithm based on the analysis. These feet can be obtained by using Machine Learning, Data Mining, and Data Analysis. Machine Learning which is a part of Artificial Intelligence is used for designing algorithms based on trends of data, patterns and the relation found between them. ML has been used in various fields such as Marketing, gameplay, intrusion detection, bioinformatics, information retrieval, healthcare, entertainment and also on COVID -19 applications and so on. This paper presents an overview of the contribution of ML in Entertainment industry

Machine Learning: An Intuitive Approach In Healthcare

Salini Suresh; Suneetha V; Niharika Sinha; Sabyasachi Prusty; Sriranga H.A

International Research Journal on Advanced Science Hub, 2020, Volume 2, Issue 7, Pages 67-74
DOI: 10.47392/irjash.2020.67

Health is a crucial resource for a person's being to measure in our society from any disease. The fast development of the population appears to be trying to record and dissect the massive measure of knowledge about patients. Healthcare may be a need, and clinical specialists are constantly attempting to get approaches to actualize innovations and give effective outcomes. The main problem faced by the healthcare industry is the rising costs which include diagnosis and prediction of diseases, drug discovery, medical imaging diagnosis, personalized medicine, behavior therapy, and smart health records. Machine learning gives us an advantage of processing these information naturally which helps in making the human services framework progressively powerful. Getting the correct determination may be a key part of Healthcare. It clarifies a patient's medical issue and suggests health care treatment. The disease diagnostic technique is a complex, community-oriented action that has clinical, intelligent and data social events to make a decision about a patient's medical issue. Google has built up a ML model to assist recognize dangerous tumours on mammograms. Stanford’s profound learning calculation to differentiate skin malignancy. This paper is focused on the importance of Machine Learning in Healthcare just like the different application areas, latest research works in healthcare, wise machine learning contribution in Healthcare, and so on. Machine Learning is an application of Artificial Intelligence that helps in automatically learning and improving itself from experience. It is used in many other sectors like Law, Marketing & Advertising, Finance, Retail& Customer Services and Healthcare which also includes Covid-19. This paper presents various research in the Medicine and Healthcare sector