Machine Learning Methods for Engineering Application Development [electronic resource].
2022
Q325.5
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Details
Title
Machine Learning Methods for Engineering Application Development [electronic resource].
Author
ISBN
9789815079180
9815079182
9815079182
Imprint
PiraĆ : Bentham Science Publishers, 2022.
Language
English
Description
1 online resource (240 p.)
Call Number
Q325.5
System Control No.
(OCoLC)1355222380
Summary
This book is a quick review of machine learning methods for engineeringapplications. It provides an introduction to the principles of machine learningand common algorithms in the first section. Proceeding chapters summarize andanalyze the existing scholarly work and discuss some general issues in this field.Next, it offers some guidelines on applying machine learning methods to softwareengineering tasks. Finally, it gives an outlook into some of the futuredeve.
Note
Description based upon print version of record.
New Information Retrieval System for COVID-19: TREC COVID
New Information Retrieval System for COVID-19: TREC COVID
Formatted Contents Note
Cover
Title
Copyright
End User License Agreement
Contents
Foreword
Preface
[Key Features]
Key Features
List of Contributors
Cutting Edge Techniques of Adaptive Machine Learning for Image Processing and Computer Vision
P. Sasikumar1 and T. Saravanan1,*
INTRODUCTION
Techniques for Improvising Images
Spatial-Domain Method
Frequency-Domain Method
TRANSFORMS: IMAGE IMPROVEMENT
Wavelet-Transform Oriented Image Improvement
Scaling and Translation
IMAGE IMPROVEMENT WITH FILTERS
DENOISING OF IMAGES
Frontward Transform
IMAGE IMPROVEMENT WITH PRINCIPAL COMPONENT PCA FOR 2D
Implementing 2D-PCA
SELECTION AND EXTRACTION OF FEATURES
Criteria for Selecting Features
Linear Criteria for Extracting Features
Discontinuity Handling
Integration Part: Limitations
Alteration of Smoothness Terminology
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Algorithm For Intelligent Systems
Pratik Dhoke1,*, Pranay Saraf1, Pawan Bhalandhare1, Yogadhar Pandey1, H. R. Deshmukh1 and Rahul Agrawal1
INTRODUCTION
Reinforcement Learning
Q-Learning
Game Theory
Machine Learning
Decision Tree
Logistic Regression
K-Means Clustering
Artificial Neural Network (ANN)
Swarm Intelligence
Swarm Robots
Swarm Intelligence in Decision Making Algorithm
Natural Language Processing
CONCLUSION
FUTURE SCOPE
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Clinical Decision Support System for Early Prediction of Congenital Heart Disease using Machine learning Techniques
Ritu Aggarwal1,* and Suneet Kumar2
INTRODUCTION
RELATED WORK
PROPOSED METHODOLOGY AND DATASET
STEPS FOR TRAINING AND TESTING THE DATASET
MACHINE LEARNING ALGORITHMS FOR PREDICTION
SUPPORT VECTOR MACHINE
RANDOM FOREST
MULTILAYER PERCEPTRON
INPUT LAYER
HIDDEN LAYER
OUTPUT LAYER
K- NEAREST NEIGHBOR (K-NN)
EXPERIMENTS AND RESULTS
Comparison Results
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
A Review on Covid-19 Pandemic and Role of Multilingual Information Retrieval and Machine Translation for Managing its Effect
Mangala Madankar1,* and Manoj Chandak2
INTRODUCTION
RELATED WORK
OUTBREAK STAGE OF COVID 19
Travel history from infected countries
Local Transmission
Geographical Cluster of Cases
Community Transmission
CURRENT SITUATION IN INDIA
TREATMENT
ILLNESS SEVERITY
ANTIBODY AND PLASMA THERAPY
VACCINE
PREVENTIVE MEASURE
Myths
EMERGING TECHNOLOGY FOR MITIGATING THE EFFECT OF THE COVID-19 PANDEMIC
Infodemic and Natural Language Processing
Arogya Setu App
Issues of Languages all Over the World and Machine Translation
Difficulties in Accessing Data in the Native Language
INFORMATION RETRIEVAL SYSTEM FOR COVID-19
Title
Copyright
End User License Agreement
Contents
Foreword
Preface
[Key Features]
Key Features
List of Contributors
Cutting Edge Techniques of Adaptive Machine Learning for Image Processing and Computer Vision
P. Sasikumar1 and T. Saravanan1,*
INTRODUCTION
Techniques for Improvising Images
Spatial-Domain Method
Frequency-Domain Method
TRANSFORMS: IMAGE IMPROVEMENT
Wavelet-Transform Oriented Image Improvement
Scaling and Translation
IMAGE IMPROVEMENT WITH FILTERS
DENOISING OF IMAGES
Frontward Transform
IMAGE IMPROVEMENT WITH PRINCIPAL COMPONENT PCA FOR 2D
Implementing 2D-PCA
SELECTION AND EXTRACTION OF FEATURES
Criteria for Selecting Features
Linear Criteria for Extracting Features
Discontinuity Handling
Integration Part: Limitations
Alteration of Smoothness Terminology
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Algorithm For Intelligent Systems
Pratik Dhoke1,*, Pranay Saraf1, Pawan Bhalandhare1, Yogadhar Pandey1, H. R. Deshmukh1 and Rahul Agrawal1
INTRODUCTION
Reinforcement Learning
Q-Learning
Game Theory
Machine Learning
Decision Tree
Logistic Regression
K-Means Clustering
Artificial Neural Network (ANN)
Swarm Intelligence
Swarm Robots
Swarm Intelligence in Decision Making Algorithm
Natural Language Processing
CONCLUSION
FUTURE SCOPE
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Clinical Decision Support System for Early Prediction of Congenital Heart Disease using Machine learning Techniques
Ritu Aggarwal1,* and Suneet Kumar2
INTRODUCTION
RELATED WORK
PROPOSED METHODOLOGY AND DATASET
STEPS FOR TRAINING AND TESTING THE DATASET
MACHINE LEARNING ALGORITHMS FOR PREDICTION
SUPPORT VECTOR MACHINE
RANDOM FOREST
MULTILAYER PERCEPTRON
INPUT LAYER
HIDDEN LAYER
OUTPUT LAYER
K- NEAREST NEIGHBOR (K-NN)
EXPERIMENTS AND RESULTS
Comparison Results
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
A Review on Covid-19 Pandemic and Role of Multilingual Information Retrieval and Machine Translation for Managing its Effect
Mangala Madankar1,* and Manoj Chandak2
INTRODUCTION
RELATED WORK
OUTBREAK STAGE OF COVID 19
Travel history from infected countries
Local Transmission
Geographical Cluster of Cases
Community Transmission
CURRENT SITUATION IN INDIA
TREATMENT
ILLNESS SEVERITY
ANTIBODY AND PLASMA THERAPY
VACCINE
PREVENTIVE MEASURE
Myths
EMERGING TECHNOLOGY FOR MITIGATING THE EFFECT OF THE COVID-19 PANDEMIC
Infodemic and Natural Language Processing
Arogya Setu App
Issues of Languages all Over the World and Machine Translation
Difficulties in Accessing Data in the Native Language
INFORMATION RETRIEVAL SYSTEM FOR COVID-19
Added Author
Available in Other Form
Print version: Lokulwar, Prasad Machine Learning Methods for Engineering Application Development PiraĆ : Bentham Science Publishers,c2022
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