Researchers from Tokyo Metropolitan University have created a new paradigm for identifying online phishing campaigns. Their ...
Hyperspectral imaging (HSI) is highly valued for its minimal sample preparation, nondestructiveness, and rich spatial information. However, its large data volume poses computational challenges. To ...
Project-Guidance Contains amazing projects written in multiple programming languages. Here you can easily find beginner to advanced level projects. The main reason behind creating this repository is ...
Abstract: This study proposed a new processing method to predict breast cancer on the basis of nine individual attributes, including age, body mass index, glucose, insulin, and a homeostasis model ...
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ABSTRACT: One exciting area within computer vision is classifying human activities, which has diverse applications like medical informatics, human-computer interaction, surveillance, and task ...
Feature: Implement Incremental PCA with native GPU support in PyTorch. Motivation: I'm working on a large-scale machine learning project that requires dimensionality reduction on datasets too large to ...
Exploring Machine Learning Algorithms for Malicious Node Detection Using Cluster-Based Trust Entropy
Abstract: Machine learning has, over the decades, ushered in a dramatic transformation across a range of sectors, including network security. Security experts agree that the potential of machine ...
When Debaditya Biswas was a high school student in India, his math teacher, Dr. Satyabrata Das, sparked his interest in physics. "Before I joined his class, I was really not sure what I was going to ...
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