7 Result(s)
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Munindra Kumar Singh
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Article
Artificial Intelligence Model for Parkinson Disease Detection Using Machine Learning Algorithms
In order for Parkinson’s disease (PD) treatment and examination to be logical, a key requirement is that estimates of disease stage and severity are quantitative, reliable, and repeatable. The PD research in t...
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Article
Prediction of phishing websites using machine learning
With the growing popularity of the information science, more application is being integrated with websites that can be accessed directly through the internet. This has increased the possibility of attack by il...
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Chapter and Conference Paper
Analysis of Phishing Base Problems Using Random Forest Features Selection Techniques and Machine Learning Classifiers
Since the Internet is anonymous and uncontrolled, it is more open to phishing attacks, which can trick users to view malicious content in exchange for their personal information. However, the number of victims...
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Chapter and Conference Paper
Detection of Phishing Website Using Intelligent Machine Learning Classifiers
As a result of the rapid development of the Internet, customers’ tendency has shifted from standard shop** to e-commerce. Nowadays, the criminal party is no longer bank/shop theft, but trying to find their v...
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Article
Prediction of Phishing Websites Using Stacked Ensemble Method and Hybrid Features Selection Method
Phishing is considered a big concern in this age of data and digital technologies because of its significant influence on the banking and online retailing industries. Cybercriminals target all economic activit...
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Article
Hybrid Machine Learning Classifier and Ensemble Techniques to Detect Parkinson’s Disease Patients
Parkinson’s disease is caused by tumors, a progressive nervous system disorder that affects development. Stiffness or slow movement is the basic sign of this problem. There is no cure for Parkinson's disease, ...
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Chapter and Conference Paper
Traffic Monitoring System in Smart Cities Using Image Processing
The problem of traffic control is rapidly increasing as the number of vehicles is increasing day to day. There are several ways already implemented to control the traffic. These methods include timer-based tra...
