Recent Trends in Intelligence Enabled Research : Selected Papers of Fifth Doctoral Symposium, DoSIER 2023 / edited by Siddhartha Bhattacharyya, Gautam Das, Sourav De, Leo Mrsic.

Format:

Book

Contributor:

Bhattacharyya, Siddhartha, editor.

Series:

Advances in Intelligent Systems and Computing, 2194-5365 ; 1457

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Internet of things.

Big data.

Computational Intelligence.

Artificial Intelligence.

Internet of Things.

Big Data.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Internet of Things.

Big Data.

Physical Description:

1 online resource (223 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

This book gathers extended versions of papers presented at DoSIER 2023 (Fifth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during December 20–21, 2023). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Contents:

Intro

Preface

Contents

About the Editors

Enhanced Methodology for Boosting Employee Retention Through Various ML and Data Engineering Methods

1 Introduction

2 Related Study

3 Solution Architecture for HR Analytics

4 Universal Integration

5 Results and Discussion

6 Conclusion

References

Intensity Estimation of Tropical Cyclones from Satellite Imagery Over North Indian Ocean

1.1 Research on Tropical Cyclones Forecast

1.2 Challenges

1.3 The TC Intensity Estimation Problems

1.4 Motivation TC Intensity Estimation

2 TC Intensity Estimation

2.1 Overview

2.2 Intensity Estimation Over the NIO

3 TC Intensity Estimation Using Various Feature Extraction Techniques from Satellite Images

3.1 TC Intensity Estimation Using Feature Vector Analysis [22, 41]

3.2 TC Intensity Estimation by Multilayer Perceptron [42]

3.3 Feature Fusion and Machine Learning Classifier for TC Intensity Estimation [30, 43, 44]

3.4 Multilayer Multi-block Local Binary Pattern for TC Intensity Estimation [45, 46]

4 Discussion on Results

5 Conclusion

Real-Time State Estimation of Twin Rotor Multi-Input Multi-Output (MIMO) System Using Variants of Kalman Filter: A Comparative Analysis

1.1 Novelty of the Work

2 Nonlinear Modeling of TRMS

3 Estimation of Nonlinear States

3.1 Extended Kalman Filter

3.2 Unscented Kalman Filter

3.3 Ensemble Kalman Filter

4 Comparative Analaysis

Movie-LSTM and Lexicon Technique-Based Movie Review Analysis

2 Literature Review

3 Proposed Methodology

3.1 Dataset Preprocessing

3.2 Feature Selection

3.3 Movie-LSTM Model

4 Experimental Results

4.1 Dataset Description

4.2 Performance Metrics

4.3 Result and Discussions

5 Conclusion.

References

A Proposed Grid-Based Elephant Detection Model Using Artificial Intelligence (AI) to Prevent Crop Damage in Farming Fields

2 Methodology

2.1 Discussing the Details of Proposed Workflow in the Following Steps

2.2 Simulation Environment and Scenario

3 Result Analysis

3.1 Discussion

3.2 Future Scope

3.3 Conclusion

Implementation of the Method of the Areas' Ratio on FPGA

2 Structure the Method of the Areas' Ratio

3 Implementation of the Method Area's Ratio on FPGA

3.1 Determination of the Total Area (Stage 1)

3.2 Calculation of the Width of the Truncated MFs (Stage 2)

3.3 Calculation of the Total Area of the Truncated MFs (Stage 3)

3.4 Calculation Areas' Ratio (Stage 4)

3.5 Determination of a Crisp Value at the Defuzzifier Output (Stage 5)

4 Parallelization of Calculations to Improve Performance Device of Defuzzification

5 Experiment Results

Analysis of Pathfinding Algorithms for Mobile Robots Movement

2 Algorithms' Overview

2.1 DFS

2.2 BFS

2.3 Wave Propagation Algorithm

3 Experiment Results

3.1 Results of Test 1

3.2 Results of Test 2

3.3 Results of Test 3

4 Conclusion

Enhancing Avatar Emotion Detection Using Deep Learning with Modified VGG16 Architecture

2 Proposed Methodology

2.1 Preprocessing Phase

2.2 Classification Phase

3 Dataset Description

5 Conclusion and Future Work

Deep Learning Approach to Satellite Collision Avoidance Using Long Short-Term Memory

2 Basics and Background

3 The Proposed Approach

4 Experimental Results and Analysis

4.2 Evaluation Measure

4.3 Experimental Result.

5 Conclusion and Future Work

Portfolio Optimization Using Quantum-Inspired Dynamic Flower Pollination Optimizer

2 Motivation and Contributions

3 Portfolio Management Overview

4 Dynamic Flower Pollination Optimizer

5 Quantum-inspired Dynamic Flower Pollination Optimizer

6 Experimental Results and Findings

7 Discussions and Conclusion

Error-Induced Brain-Actuated Motor Command Generation for Speed-Profile Setting in a 2-Loop Position Control of a Robot Arm

2 System Overview

3 Modeling of the Proposed Brain-Actuated Speed Controller

3.1 Brain-Actuated Proportional-Type Speed Modulation

3.2 Zero-Crossing Sensitive Brain-Actuated Speed Modulation

3.3 Takagi-Sugeno Fuzzy Model for Speed Adaptation

4 Analysis of Stability Margin of the Proposed Controllers

5 Experiments

5.1 Preamble

5.2 Signal Processing

5.3 Classification

6 Performance Analysis

7 Conclusions

Effect of High-Low Doping Profile on Threshold Voltage Shift of Submicron Double-Gate MOSFET

2 Structural Description

3 Mathematical Formulation

4 Result and Analysis

Explainable AI and Machine Learning in Prediction of Housing Prices

1.1 Standard Models in Studies

3 Methodology

3.1 Data Preprocessing

3.2 Removal of Irrelevant Attributes

3.3 Conversion of Categorical Data into Binary

4 Exploratory Data Analysis

5 Results Analysis

6 Conclusions

7 Future Scope

A Comprehensive Approach to Classify the Skin Cancer Disease Using Latest CNN Model (YOLOv8)

3 Experiment and Result

Uncertain Zone-Based Color Image Enhancement

1 Introduction.

2 Literature Survey

2.1 Uncertain Zone

3 Enhancement of Image

3.1 Image Fuzzification

3.2 Image Intensification

3.3 Fuzzy Image Entropy

3.4 Image Defuzzification

4 Proposed Method

5 Experiments and Outputs

Efficient Partitioning of a Multi-dimensional Axis-Aligned Space into Uniform Non-overlapping Sub-spaces for Diverse Applications

1.1 N-Dimensional Axis-Aligned Space

1.2 The Partitions

1.3 Algorithm in Brief

2 Related Works

3.1 Calculating All Vertices of First Partition

3.2 Calculating All the Partitions

4 Pseudo-Code

5 Complexity Analysis

5.1 Time Complexity

5.2 Space Complexity

7 Applications

7.1 Optimizing K-Means Clustering Algorithm

7.2 Enhancing Kd-Trees for Efficient Spatial Search

7.3 Streamlining Vector Embedding Search

7.4 Summary

8 Conclusion

Electronic Copyright and Legal Application Regarding Non-fungible Tokens (NFTs)

2 Understanding NFTs

3 Understanding Blockchain Technology for NFTs

3.1 Minting Algorithm

3.2 Token Structure (Simplified)

3.3 Transaction Flow

4 Legal Landscape in USA

5 Legal Landscape in India

6 Legal Ambiguities in NFT Projects

7 Challenges

8 Future Proceedings

9 How Proposed Work Addresses the Challenges

10 Conclusion

Forecasting of Rainfall in Subdivisions of India Using Machine Learning

2 Review of Related Work

3.1 Data Exploration and Analysis

3.2 Approach

3.3 Dataset Description

3.4 Data Preprocessing

3.5 Performance Metrics

4 Results Analysis

4.1 Prediction

5 Conclusions

Author Index.

Notes:

Includes bibliographical references and index.

ISBN:

9789819723218

9819723213