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What is Convolution

Chapter 18
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)
Copyright: © 2022 |Pages: 24
DOI: 10.4018/978-1-7998-8674-7.ch018
Abstract
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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Chapter 7
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.
Published in Chapter: Bio-Medical Image Processing: Medical Image Analysis for Malaria With Deep Learning; From: Examining Fractal Image Processing and Analysis
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Chapter 7
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.
Published in Chapter: 3D Sound Simulation over Headphones; From: Handbook of Research on Computational Arts and Creative Informatics
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Chapter 6
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 .
Published in Chapter: An Educational Method for Theoretical Fields Through Dynamic Visualization; From: Handbook of Research on Software for Gifted and Talented School Activities in K-12 Classrooms
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Chapter 6
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.
Published in Chapter: Subjective and Objective Assessment for Variation of Plant Nitrogen Content to Air Pollutants Using Machine Intelligence: Subjective and Objective Assessment; From: Fuzzy Expert Systems and Applications in Agricultural Diagnosis
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Chapter 162
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).
Published in Chapter: Design and Applications of Digital Filters; From: Encyclopedia of Information Science and Technology, Second Edition
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