The future of artificial neural networks /

Contents
Foreword
Preface
Acknowledgments
Chapter 1
The Importance of Artificial Neural Networks in Decision Making for the Field of Medicine
	Abstract
	Introduction
		A Concise Overview of Image Processing and Its Utilization
			Classical Approach
		Some Basic Operations in Image Processing
			Image Adjustment
			Adaptive Noise Removal Filtering
			Dilation and Erosion
		Traditional Artificial Neural Network (ANN)/Deep Convolutional Neural Network (DCNN) Designs
		Research in Medical Science
	Conclusion
	Disclaimer
	Acknowledgments
	References
Chapter 2
Real-Time Outlier Detection in Streaming Data: Deep Learning-Based Approach
	Abstract
	Introduction
	Related Work
		Proposed Model
			Preprocessing Data
			Scaling Test Set Features
			DNN Training
			Discovery Phase
			Experiment Analysis
			Dataset Description
			Annthyroid
			Musk
			Cardiotocography
			Metrics for Evaluation
		Experimental Results and Analysis
		Discussion of The Findings
	Conclusion and Further Research
	References
Chapter 3
Unsupervised Learning in Civil Engineering
	Abstract
	Introduction
	Supervised Learning Applications in Civil Engineering
	Network Structures
		Feedforward Networks
		Feedback Networks
		Self Organizing Maps
			Learning Rules
			Delta Rule/Gradient Descent Rule
			Hebbian Learning Rule
	Conclusion
	Disclaimer
	Acknowledgments
	References
Chapter 4
Investor Opinions Regarding the Use  of Artificial Neural Network (ANN) Technology in Indian Investment Services
	Abstract
	Introduction
	Revolutionising Capital Markets with the Evolution of ANN
		Financial Sector Reforms: The Approach
		Changing Investor Profile to Have Huge Impact on MF Industry
	Review of Literature
	Research Methodology
		Research Design
			Objectives of the Data Collection/Structure
		Data Analysis and Interpretation
			Demographic Profile of Respondents
			Gender Profile
		Age Profile
			Annual Income of Respondents
			Annual Saving of Respondents
			Artificial Neural Network
			Artificial Neural Network for Forecasting
		Concluding Remarks
		Discussion
		Finding and Recommendation
			Young People and the Stock Market: Some Statistics
			The COVID Effect on Stock Market Investments
			Role of the Neo-Brokers
			Tech Impact
	Conclusion
		Road Ahead
	References
Chapter 5
Application of Deep Learning to  Identify Cervical Spine Fractures  Using a Modified VGG16-Based Model
	Abstract
	Introduction
	Relevant Literature
	Methodology
		Dataset
	Research Method
		Convolutional Neural Network
		VGG16
		ImageNet
		ImageDataGenerator
		Primary Work
		Confusion Matrix
	Procedure
	Algorithm
		1. Define Model Architecture
		2. Compile Model
		3. Data Preprocessing
		4. Data Loading
		5. Model Training
		6. Model Evaluation
		7. Mathematical Metrics
	Flowchart
	Results and Discussion
	Comparison
	Conclusion
	Future Scope
	References
Chapter 6
A Study of Artificial Neural Networks  Using MATLAB and Its Future Application in Forecasting
	Abstract
	Introduction
	Review of Literature
	Methodology
	Results and Discussion
	Conclusion
	Future Scope
	Acknowledgments
	Conflicts
	References
Chapter 7
Applications of Artificial Neural Networks in the E-Commerce Industry:  A Qualitative Exploration
	Abstract
	Introduction
	State of Art
		Artificial Neural Networks
		E-Commerce
	Conceptual Framework
		Applications of ANN in E-Commerce
		Competitive Advantage
		Enhanced Operational Efficiency
	Challenges during Integration of ANN in E-Commerce
	Limitations
	Implications and Future Scope
	Conclusion
	References
Chapter 8
Comprehensive Review of Applications of Artificial Intelligence (AI) and Artificial Neural Network (ANN) in Healthcare Sector: Current Trends and Future Perspectives
	Abstract
	Introduction
	What Are Artificial Neural Networks?
	Review of Literature
	How Is ANN Helping in Different Streams of Healthcare Sector
		The Effects of ANN on Biomedical Engineering
		The Benefits of ANN Obtained for Gastric Cancer
		The Role of ANN in Curing Diabetes
		Detection of Breast Cancer using ANN
		The Use of ANN in the Detection of Chronic Kidney Disease
	Example of ANN Implementation: A Case Study of  Self-Medication
		Methodology
	Analysis and Findings
	Need for ANN in Developing Countries
	Scope of Future Research
	Conclusion
	Annexure
	Self-Medication Behavior
	References
Chapter 9
Face Recognition Using Residual Neural Network in Artificial Neural Network
	Abstract
	Introduction
	Literature Review
	Challenges Facing in Face Recognition System
		Image Conditions and Imaging Acquisition
		Evaluation Protocols and Benchmark Datasets
	General Overview
		Face Recognition Process
		Artificial Neural Network
		Convolutional Neural Network (CNN)
		ResNet-34
		Dlib
	Material and Methodology
	Result and Analysis
	Conclusion
	Disclaimer
	References
Chapter 10
Gradient Boosting Machine Combine Model Create Robust and Accurate Model  of Regulatory Complaining Aspect in  the Banking Industry
	Abstract
	Introduction
	Literature of Review
		The Bank Operations Compilation
			Research Methodology to Produce Smart Tool Products  and Bank Services
			Second Step Categorical Variables
	Discussion and Dataset
	Gradient Boosting ML Algorithm
	Conclusion
	Implication and Future Scope
	References
Chapter 11
Segmenting Brain Tumors in MRI Scans:  An Advance U-Net-based Deep  Learning Framework
	Abstract
	Introduction
	Literature Review
		Dataset
	Results
	Conclusion
	References
About the Editors
Index
Blank Page