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What is CNN

Chapter 16
Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security
CNN stands for Convolution neural networks. CNN have an input layer, an output layer, numerous hidden layers and millions of parameters, allowing them to learn complicated objects and patterns.
Published in Chapter:
Biometric Identification Using Face Mask DL and Open CV: Security Approach Post COVID-19
Rohit Rastogi (ABES Engineering College, Ghaziabad, India), Yati Varshney (ABES Engineering College, Ghaziabad, India), Sonali Jaiswal (ABES Engineering College, Ghaziabad, India), Markandey Sharma (ABES Engineering College, Ghaziabadm, India), and Mayank Gupta (Eli Lilly and Company, Ghaziabad, India)
Copyright: © 2024 |Pages: 25
DOI: 10.4018/979-8-3693-2639-8.ch016
Abstract
COVID-19 is a disease which spreads with human-to-human interaction. In this situation, humans need to be distanced from each other. To prevent the pandemic, people need to wear masks. Wearing a mask is mandatory for all people. That's why it is important to detect whether a person is wearing it or not. This chapter aims to provide a biometric approach for COVID 19 prevention. In this research the machine is able to check whether a person is wearing a mask or not from an image or a live stream. This research is also a smart approach for smart cities. In this research, the authors generate the artificial dataset by adding the mask on the faces of the persons in the images. And that can be done by the automation of the unmasked people's images dataset. The dataset is trained using tensor flow/keras for providing the classifier which classifies the image. This research is valid on image and on live streams.
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Chapter 16
A Study on Deep Learning Methods in the Concept of Digital Industry 4.0
Convolutional neural network is a sub-branch of deep learning and is often used to analyze visual information.
Published in Chapter: A Study on Deep Learning Methods in the Concept of Digital Industry 4.0; From: Handbook of Research on Management and Strategies for Digital Enterprise Transformation
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Chapter 16
Design of a Real-Time-Integrated System Based on Stereovision and YOLOv5 to Detect Objects
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Chapter 1
Machine Learning for Ecological Sustainability: An Overview of Carbon Footprint Mitigation Strategies
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Chapter 10
Machine Learning Techniques to Diagnose and Treat Cancer Disease
Convolutional Neural Networks. It is a specific class of neural networks that are normally used to evaluate images.
Published in Chapter: Machine Learning Techniques to Diagnose and Treat Cancer Disease; From: Artificial Intelligence for Societal Development and Global Well-Being
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Chapter 12
Prospects of Deep Learning and Edge Intelligence in Agriculture: A Review
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Chapter 6
Holistic View on Detecting DDoS Attacks Using Machine Learning
Convolution Neural Network. Supervised method used for classification and regression problems, a class of neural networks that specializes in processing data that is organized as a grid, such as an image.
Published in Chapter: Holistic View on Detecting DDoS Attacks Using Machine Learning; From: Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity
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Chapter 7
A Comparative Analysis of Signature Recognition Methods
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Chapter 3
Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death
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Chapter 4
Scientific Applications of Machine Learning Algorithms
Convolutional neural network used for image processing and classification.
Published in Chapter: Scientific Applications of Machine Learning Algorithms; From: Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
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Chapter 9
Automatic Diagnosis of Parkinson's Disease Based on Deep Learning Models and Multimodal Data
A deep learning approach that is widely used for solving complex problems, and overcomes the limitations of traditional machine learning approaches.
Published in Chapter: Automatic Diagnosis of Parkinson's Disease Based on Deep Learning Models and Multimodal Data; From: Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases
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Chapter 6
Real-Time Bangla Sign Words Interpretation Uttered at Medical Emergencies
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Chapter 1
Real-Time Detection of Cardiac Arrest Using Deep Learning
Convolution is a mathematical operation that allows the merging of two sets of information. In the case of CNN, convolution is applied to the input data to filter the information and produce a feature map. This filter is also called a kernel, or feature detector.
Published in Chapter: Real-Time Detection of Cardiac Arrest Using Deep Learning; From: AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management
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Chapter 11
Traffic Analysis of UAV Networks Using Enhanced Deep Feed Forward Neural Networks (EDFFNN)
Convolutional neural network. A convolutional neural network (CNN) is a kind of artificial neural network used in image recognition and processing.
Published in Chapter: Traffic Analysis of UAV Networks Using Enhanced Deep Feed Forward Neural Networks (EDFFNN); From: Handbook of Research on Machine and Deep Learning Applications for Cyber Security
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Chapter 13
An AI-Integrated Green Power Monitoring System: Empowering Small and Medium Enterprises
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Chapter 8
Autonomous Navigation of Rovers Using ML and DL Techniques
It represents a common ANN for object and image identification with classification.
Published in Chapter: Autonomous Navigation of Rovers Using ML and DL Techniques; From: AI-Enabled Social Robotics in Human Care Services
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Chapter 7
A Study on Deep Learning Methods in the Concept of Industry 4.0
Convolutional Neural Network is a sub-branch of deep learning and is often used to analyze visual information.
Published in Chapter: A Study on Deep Learning Methods in the Concept of Industry 4.0; From: Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications
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Chapter 3
Artificial Intelligence for Extended Software Robots, Applications, Algorithms, and Simulators
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Chapter 8
AI-Driven System for Early Detection and Diagnosis of Cataracts by Image Recognition and Machine Learning Algorithms
One form of deep learning architecture, Convolutional Neural Networks (CNNs), has significant success in picture identification tasks. Convolutional neural networks (CNNs) are able to automatically learn feature hierarchies, which helps them to identify intricate objects and patterns in images.
Published in Chapter: AI-Driven System for Early Detection and Diagnosis of Cataracts by Image Recognition and Machine Learning Algorithms; From: AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications
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