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What is Convolution

Handbook of Research on Interdisciplinary Perspectives on the Threats and Impacts of Pandemics
Taking a feature and filtering the image according to that feature in all spatial parts of the image.
Published in Chapter:
What Is Deep Learning and How Has It Helped the COVID-19 Pandemic?
Elif Kartal (Istanbul University, Turkey) and Odelia Schwartz (University of Miami, USA)
DOI: 10.4018/978-1-7998-8674-7.ch018
Since the beginning of the COVID-19 pandemic, researchers have been trying to find solutions through international collaborations and interdisciplinary studies. This chapter aims to present how deep learning is used for the COVID-19 pandemic. Within this scope, this chapter covers the fundamentals of deep learning in terms of definitions, key concepts, popular network types, and application areas. Then it gives a summary of the most recent studies in which deep learning models are used for COVID-19. The authors believe this chapter is a good start for researchers who want to study deep learning. In addition, the literature review section of this chapter, which was prepared by considering the COVID-19 pandemic, is expected to shed light on a broad range of health studies within the pandemic process and to provide better solutions to similar problems encountered in different sectors.
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Bio-Medical Image Processing: Medical Image Analysis for Malaria With Deep Learning
A function derived from two given functions by integration which expresses how the shape of one is modified by the other.
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3D Sound Simulation over Headphones
A fundamental mathematical function that involves sampling multiplications in multi-dimensional matrices. In the case of digital signal processing, convolution can be seen as a particular kind of multiplication between two vectors.
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An Educational Method for Theoretical Fields Through Dynamic Visualization
Convolution of two probability density function f and g is defined as follows: This means a distribution of sum of two variables from f and g .
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Subjective and Objective Assessment for Variation of Plant Nitrogen Content to Air Pollutants Using Machine Intelligence: Subjective and Objective Assessment
In mathematics (in particular, functional analysis) convolution is a mathematical operation on two functions (f and g) to produce a third function that expresses how the shape of one is modified by the other. The term convolution refers to both the result function and to the process of computing it.
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Design and Applications of Digital Filters
y(n)=x(n)*h(n): Time domain operation which relate the output of the digital filter y(n) with the input signal x(n) and the impulse response of the filter h(n).
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