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Browsing by Subject "Machine learning algorithms"

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An Extensive Survey of Machine Learning Based Approaches on Automated Pathology Detection in Chest X-Rays

Silva, Ravidu Suien Rammuni (IEEE, 2021)

Radiography is one of the most common and eminent medical imaging technologies in the world to date. Chest radiography is a very powerful and successful way of diagnosing thoracic diseases of humans. With the latest ...
Inventory sales forecasting based on machine learning and deep learning.

Gamage, Piyumi (2022)

"Very small, middle, and large business must balance the act of between reducing the cost, of holding too much inventory stock with and need to maintain enough stock. So, in this community, over the last 50 years ...
Prediction of SELL recommendation of stocks using Logistic Regression, Support Vector Machine, and K-Nearest Neighbors

Withanage, Sanath (2022)

The stock market is one of most complex systems in the world, which consists of stocks whose prices goes up and down, without generating a clear pattern. Various factors impact to these up and downs of the stock ...
A Predictive Model for the Global Cryptocurrency Market: A Holistic Approach to Predicting Cryptocurrency Prices

Wimalagunaratne, Minul; Poravi, Guhanathan (IEEE, 2018)

The realm of cryptocurrency has grown exponentially over the past decade, with the most rapid advances seen in the past few years as more and more parties around the world recognize the value of holding digital assets ...
Pulsar Candidate Selection Using Gaussian Hellinger Extremely Fast Decision Tree

Gamage, Venoli; Ayoob, Mohamed; Jayakumar, Krishnakripa (IEEE, 2022)

Radio wave data gathered by pulsar finding telescopes are required to be classified while being streamed. The reason for that is the practical constraints of traditional machine learning algorithms on streaming datasets. ...
A Review on Automated Machine Learning (AutoML) Systems

Nagarajah, Thiloshon; Poravi, Guhanathan (2019)

Automated Machine Learning is a research area which has gained a lot of focus in the recent past. But the various approaches followed by researchers and what has been disclosed by the available work is neither properly ...

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