Machine Learning and Computational Intelligence Techniques for Data Engineering : Proceedings of the 4th International Conference MISP 2022, Volume 2 / edited by Pradeep Singh, Deepak Singh, Vivek Tiwari, Sanjay Misra.

Format:

Book

Contributor:

Singh, Pradeep, editor.

Series:

Lecture Notes in Electrical Engineering, 1876-1119 ; 998

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Application software.

Computational Intelligence.

Artificial Intelligence.

Computer and Information Systems Applications.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Computer and Information Systems Applications.

Physical Description:

1 online resource (885 pages)

Edition:

1st ed. 2023.

Place of Publication:

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

Summary:

This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.

Contents:

Intro

Contents

About the Editors

A Review on Rainfall Prediction Using Neural Networks

1 Introduction

2 Literature Survey

3 Theoretical Analysis of Survey and Discussion

4 Conclusions

References

Identifying the Impact of Crime in Indian Jail Prison Strength with Statical Measures

2 Related Work

3 Methods and Materials

3.1 Dataset

3.2 Experimental Work

3.3 Correlation Coefficient Between Two Random Variables

4 Result and Discussion

5 Conclusion

Visual Question Answering Using Convolutional and Recurrent Neural Networks

3 Dataset Description

4 Proposed Method

4.1 Experiment 1

4.2 Experiment 2

5 Results and Analysis

5.1 Experiment 1

5.2 Experiment 2

6 Conclusion

Brain Tumor Segmentation Using Deep Neural Networks: A Comparative Study

2 Methodology

2.1 2-Path Convolutional Neural Network

2.2 Cascaded Architecture

2.3 U-Net

3 Empirical Studies

3.2 Experiment Setup

3.3 Data Preprocessing

3.4 Performance Evaluation Metrics

4 Visualization and Result Analysis

4.1 Cascaded CNN

4.2 U-Net

5 Conclusions

Predicting Bangladesh Life Expectancy Using Multiple Depend Features and Regression Models

2 Literature Review

3 Proposed Methodology

3.1 Data Preprocessing

3.2 Regressor Relevant Theory

3.3 Preformation Calculation

4 Results and Discussions

5 Conclusion and Future Work

A Data-Driven Approach to Forecasting Bangladesh Next-Generation Economy

3 Methodology

4 Analysis and Results

A Cross Dataset Approach for Noisy Speech Identification

1 Introduction.

2 Problem Statement

3 Prior Work

4 Experimental Setup

4.1 Phoneme Detection rate

4.2 Softmax Probability of Clean Speech and Noisy Speech

4.3 Utterance Level Scoring

5 Results

6 Conclusion and Future Work

A Robust Distributed Clustered Fault-Tolerant Scheduling for Wireless Sensor Networks (RDCFT)

2.1 Classification of Fault Levels

2.2 Redundancy Based Fault Tolerance in WSNs

3 Proposed Work

3.1 Network Model, Preliminaries, and Assumptions

3.2 Fault Detection and Recovery

3.3 Redundancy Check and Clustering in WSNs

3.4 Selection of Cluster Head

3.5 Algorithm Phase: Distributed Clustered Fault-Tolerant Scheduling

3.6 Simulation Setup and Results

4 Conclusion and Future Remarks

Audio Scene Classification Based on Topic Modelling and Audio Events Using LDA and LSA

3 LSA and LDA

3.1 Latent Semantic Analysis (LSA)

3.2 Latent Dirichlet Allocation (LDA)

4 Framework of the Proposed Work

4.1 Input Vocabulary Creation

4.2 Event Term Cooccurrence Matrix

4.3 Output Generation

5 Experimental Results

6 Conclusion and Future Enhancement

Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine Tuning Approach

2 Motivation

3 Literature Review

4 Research Gap

5 Our Contribution

6 Characteristics improved using our Brain Tumor Analysis Model

6.1 Light Weight

6.2 Reliability

6.3 Time Efficiency

7 Dataset

8 Deep Learning Based Brain Tumor Diagnosis Using Yolov5

8.1 Yolov5

9 Proposed Model

10 Conclusion

Comparative Study of Loss Functions for Imbalanced Dataset of Online Reviews

3 Loss Functions

3.1 Cross-Entropy Loss.

3.2 Focal Loss

4 Dataset

5 Methodology

6 Training and Classification

7 Results

8 Conclusion

A Hybrid Approach for Missing Data Imputation in Gene Expression Dataset Using Extra Tree Regressor and a Genetic Algorithm

3 About Genetic Algorithm, K-Means, and Extra Tree Regression

3.1 Genetic Algorithm

3.2 K-Means Algorithm

3.3 Extra Tree Regression

4 About Dataset

5 Proposed Model

5.1 Experimental Implementation

6 Performance Analysis

7 Experimental Results

8 Conclusion and Future Work

A Clustering and TOPSIS-Based Developer Ranking Model for Decision-Making in Software Bug Triaging

3 Related Work

4 Methodology

5 Illustrative Example: A Case Study

6 Threats to Validity

7 Conclusion and Future Scope

GujAGra: An Acyclic Graph to Unify Semantic Knowledge, Antonyms, and Gujarati-English Translation of Input Text

2 Gujarati Language

4 Software Description

4.1 Software Architecture

5 Proposed Algorithm

6 Experiment and Result

7 Conclusion

Attribute-Based Encryption Techniques: A Review Study on Secure Access to Cloud System

2 Background of the Review Study

3 Review Study

4 Review Summary

Fall Detection and Elderly Monitoring System Using the CNN

3 Proposed Method

3.1 ADLs and Falls Comparison

3.2 The Visualization of the Bitmap Generation

3.3 CNN Model

4 Experimental Results and Analysis

4.1 Fall Detection

4.2 Computation Complexity

References.

Precise Stratification of Gastritis Associated Risk Factors by Handling Outliers with Feature Selection in Multilayer Perceptron Model

2 Methods

2.1 Data Source

2.2 Data Pre-processing

2.3 Feature Selection

2.4 Learning Curves

2.5 Data Modeling

2.6 Naive Bayes Bernoulli

2.7 Data Package

3 Results and Discussion

3.1 Original Dataset

3.2 Outliers Removed Using Interquartile Range Method

3.3 Outliers Removed Using One-Class SVM

3.4 Outlier Removed Using Isolation Forest

3.5 Outliers Replaced by Median

3.6 Outliers Replaced by Median Values + Feature Selection

4 Benchmarking Machine Learning Systems

5 Risk Factors for Gastritis-Associated H. Pylori

Portfolio Selection Using Golden Eagle Optimizer in Bombay Stock Exchange

3 The Problem Statement

4 Proposed Strategy

4.1 Attack (Exploitation)

4.2 Cruise (Exploration)

Hybrid Moth Search and Dragonfly Algorithm for Energy-Efficient 5G Networks

3.1 Delay-Bounded QoS Provisioning

3.2 EPE Under QoS Provisioning

3.3 Optimal Power Allocation Via MS-DA Model

Automatic Cataract Detection Using Ensemble Model

3 Materials and Methods

3.1 Methodology

3.2 Dataset

3.3 Proposed Designed

4 Experiments and Results

4.1 First model

4.2 Second Model

4.3 Third Model

4.4 Ensemble Model

5 Comparative Study

6 Conclusion and Future Scope

Nepali Voice-Based Gender Classification Using MFCC and GMM

3.1 Data Collection

3.2 Data Processing.

3.3 Feature Extraction

3.4 Model Training

Analysis of Convolutional Neural Network Architectures for the Classification of Lung and Colon Cancer

2 Related Works

3.1 Image Acquisition and Preprocessing

3.2 Feature Extraction

3.3 Classification

3.4 Inception-ResNet V2

5 Experimented Results

Wireless String: Machine Learning-Based Estimation of Distance Between Two Bluetooth Devices

3 Distance Estimation Between Bluetooth Devices as a Regression Problem

3.1 Generating the Dataset

3.2 Regression

4 Performance Evaluation

4.1 Comparison Using Separate Datasets

4.2 Comparison Using Combined Dataset

Function Characterization of Unknown Protein Sequences Using One Hot Encoding and Convolutional Neural Network Based Model

3.1 Protein Dataset

3.2 Preprocessing

3.3 Prediction Using Convolutional Neural Network

3.4 Performance Measures

4 Results and Discussion

4.1 Results

4.2 Discussion

Prediction of Dementia Using Whale Optimization Algorithm Based Convolutional Neural Network

3 Proposed WOA Based CNN

4 Experimental Results

4.1 Comparison of Accuracy for Various Values of Dropout Rate and Mini Batch Size

4.2 Comparison of Accuracy

4.3 Comparison of Loss

Goodput Improvement with Low-Latency in Data Center Network

3 Enhanced Multipath Transmission Control Protocol

3.1 Multipath Transmission Control Protocol (MPTCP)

3.2 Packet Sprinkle

4 Design of Proposed Protocol.

4.1 Architecture.

Other Format:

Print version: Singh, Pradeep Machine Learning and Computational Intelligence Techniques for Data Engineering

ISBN:

9789819900473

OCLC:

1379487205