Intelligent System Design : Proceedings of INDIA 2022 / edited by Vikrant Bhateja, K. V. N. Sunitha, Yen-Wei Chen, Yu-Dong Zhang.

Format:

Book

Contributor:

Bhateja, Vikrant, editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 494

Language:

English

Subjects (All):

Computational intelligence.

Engineering design.

Machine learning.

Telecommunication.

Computational Intelligence.

Engineering Design.

Machine Learning.

Communications Engineering, Networks.

Local Subjects:

Computational Intelligence.

Engineering Design.

Machine Learning.

Communications Engineering, Networks.

Physical Description:

1 online resource (577 pages)

Edition:

1st ed. 2023.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2023.

Summary:

This book presents a collection of high-quality, peer-reviewed research papers from the 7th International Conference on Information System Design and Intelligent Applications (India 2022), held at BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India, from February 25 to 26, 2022. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing and cognitive computing.

Contents:

Intro

Conference Organization Commitees

Preface

Contents

Editors and Contributors

A Framework for Early Recognition of Alzheimer's Using Machine Learning Approaches

1 Introduction

2 Related Work

3 Proposed Methodology

3.1 Model Diagram

3.2 CatBoost Classifier

3.3 Model Evaluation

4 Environmental Setup

5 Results and Discussion

5.1 Accuracy

5.2 Precision

5.3 Recall

5.4 F1-Score

6 Conclusion and Future Direction

References

On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms

2 Related Study

3 Facial Detection and Recognition Methods

3.1 Machine Learning Approach

3.2 Deep Learning Approach

4 Implementation

4.1 Face Detection: Haar Cascade Detection Algorithm

4.2 Face Recognition: Local Binary Pattern Histogram (LBPH) Algorithm

4.3 Detection and Recognition by GoogLeNet

5.1 Haar Cascade Face Detection (Machine Learning Approach)

5.2 LBPH Face Recognition in Real Time (Machine Learning Approach)

5.3 GoogLeNet Image-Based Analysis (Deep Learning Approach)

6 Conclusion

IPL Analysis and Match Prediction

2 Literature Survey

3.1 Processing the Datasets

3.2 Match Analysis

3.3 Visualization

3.4 Match Prediction

3.5 User Interface Creation

4 Results and Discussion

5 Conclusion

Application of ANN Combined with Machine Learning for Early Recognition of Parkinson's Disease

2 Literature Work

3 Methodology

4 Experimental Setup

5 Performance Analysis and Experimentation Results

6 Conclusion and Future Work

People Count from Surveillance Video Using Convolution Neural Net

2 Literature Review

3 Dataset.

4 Proposed Methodology

5 Results

Detection of Pneumonia and COVID-19 from Chest X-Ray Images Using Neural Networks and Deep Learning

3 CNN Architectures

4 Proposed CNN Model

5 Experimentation and Results

5.1 Dataset

5.2 Experiment Setup

5.3 Results

5.4 Performance Evaluation

Plant Leaf Disease Detection and Classification Using Deep Learning Technique

3 Proposed System Architecture

3.1 Image Acquisition

3.2 Image Preprocessing

3.3 Feature Extraction Using CNN

3.4 Detect and Classify Disease

4 Result and Analysis

Breast Mass Classification Using Convolutional Neural Network

2 Related Works

3.1 About Dataset

3.2 Architecture of CNN

5 Conclusions

Deep Generative Models Under GAN: Variants, Applications, and Privacy Issues

2 Generative Adversarial Networks (GANs)

2.1 GAN Architecture

2.2 Objective Function

3 Existing Models and Applications

3.1 GAN Models

3.2 Applications

4 GANs in Privacy

4.1 Privacy in Data

4.2 Privacy in Model

5 Future Works

Fusion-Based Celebrity Profiling Using Deep Learning

3.1 Dataset

3.2 Evaluation Measure

3.3 Stylistic Features

3.4 Word Embedding

3.5 Method

DeepLeaf: Analysis of Plant Leaves Using Deep Learning

3.1 Feature Extraction

3.2 CNN and VGG16

4.1 Comparative Analysis with Respect to Accuracy

5 Conclusion.

References

Potential Assessment of Wind Power Generation Using Machine Learning Algorithms for Southern Region of India

2 Wind Power Technology

3.1 Linear Regression

3.2 Support Vector Regression

3.3 K-Nearest Neighbour Algorithm

3.4 Decision Trees Regression

4 Performance Indices

4.1 Mean Absolute Error (MAE)

4.2 Mean Square Error (MSE)

4.3 Root Mean Square Error (RMSE)

4.4 R2 Score

5 Results and Discussions

6 Conclusions

OCR-LSTM: An Efficient Number Plate Detection System

1.1 Tesseract

1.2 Opencv

1.3 Lstm

2.1 Problem Statement

2.2 Objective

3 System Model

3.1 Conversion of RGB Image to Gray Scale Image

3.2 Bilateral Filter

3.3 Lstm

Artificial Neural Network Alert Classifier for Construction Equipments Telematics (CET)

3 Problem Statement

4 System Model

4.1 Problem Formulation

5 Proposed Design and Methodology

6 Results and Discussion

6.1 Data Set

6.2 Results

7 Conclusions

Hybrid Approach of Modified IWD and Machine Learning Techniques for Android Malware Detection

3 Proposed Modified Version of IWD Algorithm

3.1 Step 1: The Static Parameters and Dynamic Parameters are Initialized

3.2 Step 2: Modified Edge Selection Process

3.3 Step 3: Updating Velocity and Soil Values

3.4 Step 4: Reinforcement and Termination Phase

4 Feature Selection Procedure Using Modified IWD

5 Dataset Prepossessing and Experimental Environment

5.1 Dataset and Preprocessing

5.2 Experimental Environment

6 Performance Evaluation Matrix

7 Result and Discussions

8 Conclusion and Future Work

References.

Intuitionistic Fuzzy 9 Intersection Matrix for Obtaining the Relationship Between Indeterminate Objects

2 Preliminary Concepts

2.1 Intuitionistic Fuzzy Set

2.2 Intuitionistic Fuzzy Topological Spaces

2.3 Related Studies

3 Intuitionistic Fuzzy 9 Intersection Matrix

4 Application of the Proposed Definitions

4.1 Importance of the Proposed Definition

4.2 Intuitionistic Fuzzy 9 Intersection Matrix

5 Conclusion and Future Work

A Hybrid Model of Latent Semantic Analysis with Graph-Based Text Summarization on Telugu Text

3 Latent Semantic Analysis

4 Text Rank Algorithm

5 Proposed Algorithm

6 Evaluation and Experimental Results

7 Conclusion

A Combined Approach of Steganography and Cryptography with Generative Adversarial Networks: Survey

2 Background Works

3 Advanced Techniques

4 Fallouts and Discussion

Real-Time Accident Detection and Intimation System Using Deep Neural Networks

3 Methods

Design of Cu-Doped SnO2 Thick-Film Gas Sensor for Methanol Using ANN Technique

2 Proposed Experiment

3 Result and Discussion

4 Conclusion

Detect Traffic Lane Image Using Geospatial LiDAR Data Point Clouds with Machine Learning Analysis

3 Proposed System

3.1 Land-Usage/Land-Coverage Change Analysis

4 Interpretation Concept

5 Conclusion and Future Scope

Classification of High-Dimensionality Data Using Machine Learning Techniques

3 Machine Learning Techniques

3.1 Naive Bayes Algorithm

3.2 Support Vector Machine (SVM).

3.3 K-Nearest Neighbor (KNN) Algorithm

3.4 Principal Component Analysis (PCA)

4 Proposed Model

5 Performance Evaluation Metrics

6 Result Analysis

To Detect Plant Disease Identification on Leaf Using Machine Learning Algorithms

4 Dataset and Attributes

5 Application of the Outcomes

Association and Correlation Analysis for Predicting the Anomaly in the Stock Market

3 Data Preparation

4 Methodology

4.1 Data Mining Association Rule

Early Identification of Diabetic Retinopathy Using Deep Learning Techniques

1.1 Types of Diabetic Retinopathy

4 Experimentation Setup

5 Dataset

6 Image Processing

6.1 Input Fundus Images

6.2 Gray Fundus Images

6.3 Gaussian Blur

7 Convolution Neural Network Models

7.1 Training Using ResNet50 and VGG16

8 Result

8.1 Result of ResNet50

8.2 Result of VGG16

8.3 Comparison of Results

9 Conclusion

10 Future Work

11 Competing Interest

Performance Evaluation of MLP and CNN Models for Flood Prediction

2 Study Area

3.1 Mlp

3.2 CNN

3.3 Evaluating Constraint

4 Results and Discussions

Bidirectional LSTM-Based Sentiment Analysis of Context-Sensitive Lexicon for Imbalanced Text

2.1 Classification of Sentiments

2.2 Techniques of Supervised Learning

2.3 Techniques with No Supervision

2.4 Techniques for Semi-Supervised Learning

2.5 Ensemble Techniques

3.1 Bidirectional Long Short-Term Memory (BLSTM).

3.2 Calculating Sentiment Scores.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Bhateja, Vikrant Intelligent System Design

ISBN:

981-19-4863-1

OCLC:

1352978342