This article outlines a meta-analysis of the 10 learning techniques identified in Dunlosky et al. (2013a), and is based on 242 studies, 1,619 effects, 169,179 unique participants, with an overall mean 0.56. The most effective are Distributed Practice Testing least (but still relatively high effects) Underlining Summarization. A major limitation was that majority studies were surface or factual ...

Contrasted with the past, upgrades in PC and correspondence improvements have given extensive propelled changes. The use of latest give exceptional advantages to people, organizations, governments, be that as it is, messes a few up against them. For instance, safety significant data, security positioned away statistics stages, accessibility so forth. Contingent upon those problems, virtual worr...

Human Activity Recognition (HAR) has always been a difficult task to tackle. It is mainly used in security surveillance, human-computer interaction, and health care as an assistive or diagnostic technology combination with other technologies such the Internet of Things (IoT). data can be recorded help sensors, images, smartphones. Recognizing daily routine-based human activities walking, standi...

In few previous decades around the globe reason for extensive number of deaths is cardiovascular disease or Heart related and not only in India but all world has emerged as a life-threatening disease. So correct treatment time diagnosis this need feasible, accurate reliable system encountered. For automation analysis sophisticated huge data, to various medical dataset Machine Learning technique...

This paper discusses, trying to accurately assess the price of Bitcoin by looking at different parameters affects value Bitcoin. In our work, we focus on understanding and seeing evolution daily market, a1 gaining intuition in most relevant aspects surrounding price. meantime, market capitalization publicly traded cryptocurrencies exceeds $ 230 billion. The important cryptocurrency, Bitcoin, is...