CO-CREATION OF MICRO-CONTENT TYPES

Co-Creation of Micro-Content Types

In a knowledge society knowledge is dynamic, distributed and dependent on social context.The variety of professional communities of practice (CoP) and their individual knowledge needs are a challenge for community information systems for learning and knowledge exchange.Social Micro-Learning is an approach that allows the co-creation of new individu

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Seismic Random Noise Attenuation Using DARE U-Net

Seismic data processing plays a pivotal role in extracting valuable subsurface information for various geophysical applications.However, seismic records often suffer from inherent random noise, which obscures meaningful geological features and reduces the reliability of interpretations.In recent years, deep learning methodologies have shown promisi

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Dr. Phish: Phishing Website Detector

Phishing is a common attack on credulous people by making them disclose their unique information.It is a type of cyber-crime where false sites allure exploited people to give delicate data.This paper deals with methods for detecting phishing websites by analyzing various features of URLs by Machine learning techniques.This experimentation discusses

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