Advances in Data Science and Computing Technologies

Name: Advances in Data Science and Computing Technologies | Select Proceedings of ADSC 2022
Brand: Springer
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Select Proceedings of ADSC 2022

Basabi Chakraborty Arindam Biswas Amlan Chakrabarti(Editor)

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1st Edition

Published on 29. September 2023

XIV, 756 pages

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978-981-99-3656-4 (ISBN)

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Basabi Chakraborty received B.Tech., M.Tech., and Ph.D. degrees in Radio Physics and Electronics from Calcutta University, India, and worked at Indian Statistical Institute, Calcutta, India until 1990. From 1991 to 1993 she worked as a part-time researcher in Advanced Intelligent Communication Systems Laboratory in Sendai, Japan. She received another Ph. D in Information Science from Tohoku University, Sendai in 1996. From 1996 to 1998, she worked as a postdoctoral research fellow at the Research Institute of Electrical Communication, Tohoku University, Japan. In 1998 she joined as a faculty in the Software and Information Science department of Iwate Prefectural University, Iwate, Japan. Her research areas are pattern recognition, image processing, soft computing techniques, biometrics, data mining, and online social media mining.

Arindam Biswas received M.Tech. in Radio Physics and Electronics from the University of Calcutta, India, in 2010 and a Ph.D. from NIT Durgapur in 2013. He was a postdoctoral researcher at Pusan National University, South Korea with the prestigious BK21PLUS Fellowship, Republic of Korea. He was a visiting Professor at the Research Institute of Electronics, Shizuoka University, Japan. Dr. Biswas has 12 years of teaching, research, and administrative experience. Presently, Dr. Biswas is working as an Associate Professor in the School of Mines and Metallurgy at Kazi Nazrul University, Asansol, WB, India. He has 54 papers in journals, 36 conference papers, 8 books, 06 Edited Volumes, and 01 book chapter to his credit. His research interest is in carrier transport in the low dimensional system and electronic device, non-linear optical communication, and THz semiconductor source.

Amlan Chakrabarti is a Full Professor in the A.K. Choudhury School of Information Technology at the University of Calcutta. He is an M.Tech. from the University of Calcutta and did his Doctoral research at Indian Statistical Institute, Kolkata. He was a Post-Doctoral fellow at the School of Engineering, Princeton University, the USA during 2011-2012. He is the recipient of the prestigious DST BOYSCAST fellowship award in Engineering Science (2011), Indian National Science Academy (INSA) Visiting Faculty Fellowship (2014), JSPS Invitation Research Award (2016), Erasmus Mundus Leaders Award from EU (2017), and Hamied Visiting Professorship from University of Cambridge (2018) and Siksha Ratna Award by Dept. of Higher Education Govt. of West Bengal (2018). He has also served in various capacities in various higher education organizations both at national and international levels. He has received multiple project grants in the areas of Security in Cyberphysical Systems, Embedded System Design, VLSI Design, Quantum Computing, Computer Vision, and Data Science from various national and international agencies (DST, DRDO, MietY, UGC, DAE, Ministry of Social Empowerment, WB-DST, Tata Consultancy Services, Intel India, etc.). He has published around 150 research papers in referred journals and conferences. His areas of research interest are quantum computing, reconfigurable computing, embedded systems design, VLSI design, computer vision, and machine learning.

Content

Intro
Contents
About the Editors
Fertilizer Recommendation System for High Crop Yield based on Prediction Model: A Comparative Analysis
1 Introduction
2 Fertilizer recommendation-A Prediction Model
3 Development of Prediction Models
4 Data Set and Experimental Set-up
4.1 Experimental Results
4.2 Performance Comparison
5 Conclusion
References
Prediction of Future Career Course of Students Through RF Algorithm
1 Introduction
2 Literature Review
3 Proposed Methodology
4 Results and Analysis
5 Conclusion
References
Survey of Various Machine Learning Techniques for Analyzing IoMT-Based Remote Patient Monitoring System
1 Introduction
2 Literature Review of Remote Patient Monitoring (RPM) Process
3 Research Gap
4 Conclusion
References
A Novel Approach to Predicting the Cardiovascular Sickness
1 Introduction
2 Literature Review
3 Dataset Description and Information
4 Architecture
4.1 Data Cleaning and Preprocessing
4.2 Feature Creation and Feature Selection
4.3 Data Selection and Training
5 Model Evaluation
6 Experiments and Results
6.1 Percentile Method (Normal Method)
6.2 Hyperparameter Tuning
6.3 Domain Knowledge Method
6.4 Hyperparameter Tuning (Using Domain Knowledge)
7 Model Analysis
8 Conclusion
References
Intelligent System for Detecting Spam Emails Using Machine Learning Classifiers
1 Introduction
2 Literature Survey
3 Research Methodology and Proposed Work
3.1 Dataset
3.2 Data Cleaning
3.3 Exploratory Data Analysis
3.4 Data Preprocessing
3.5 Feature Extraction and Selection
4 Machine Learning Classifiers
5 Performance and Result Analysis
6 Conclusion
References
Optical Flow-Based Movement Alert System for Assisting Visually Impaired People
1 Introduction
2 Literature Survey
3 Methodology
3.1 Gaussian Blurring
3.2 Thresholding
3.3 Contour Detection
3.4 Optical Flow
3.5 Tracker
4 Results
5 Conclusion
References
Detection of Fallen Trees and Vehicles Plying on the Road for Safety of Visually Impaired People
1 Introduction
2 Literature Survey
3 Methodology
3.1 Dataset and Preprocessing
3.2 Dimensionality Reduction
3.3 Classification
4 Result
5 Conclusion
References
Electronic Travel Aid for Bus Detection and Bus-Route Number Recognition for Blind People
1 Introduction
2 Literature Survey
3 Methodology
3.1 Dataset Collection and Pre-processing
3.2 Feature Vector Compilation
3.3 Dimensionality Reduction
4 Classification
4.1 Route Number Recognition
5 Results and Discussion
References
LSTM-Based Encoder-Decoder Model for Transliteration of English, Marathi, and Hindi Query
1 Introduction
2 Literature Review
3 Methodology
3.1 Example of Data Preprocessing for Text
3.2 Data Visualization and Preprocessing
3.3 Building the Model (Encoder and Model with Attention Layer)
3.4 Making a Predict Function
4 Results and Discussions
4.1 Implemented Model
4.2 Already Existing Model
4.3 Comparison Between Implemented Model and Existing Model
5 Conclusion
6 Future Scope
References
A Study on Hiding Internet of Things (IoT) Communication
1 Introduction
2 Some Existing Steganography-Based IoT Security Protocols
3 Conclusion
References
Automatic Speech Recognition Using Acoustic Modeling
1 Introduction
2 Literature Survey
3 Methodology
4 Result
5 Accuracy Check
6 Conclusion
References
Effect of Dropout on Convolutional Neural Network for Hyperspectral Image Classification
1 Introduction
2 Convolutional Neural Network
3 Dropout Method
4 CNN-Based Model for HSI Classification
5 Experimental Results
5.1 Details of Datasets and Experimental Design
5.2 Experimental Design
5.3 Result Discussions
6 Conclusion
References
State Derivative Optimal Control Law for Submersible Autonomous Robotic Vehicle in Steering Plane
1 Introduction
2 Mathematical Modeling of Submersible Autonomous Robotic Vehicle
3 State Derivative Optimal Control Law
4 Realization of Control Algorithm
5 Results and Discussion
6 Conclusion
References
ASR for Indian Regional Languages Using Fine-Tuned Wav2Vec2 Model
1 Introduction
2 Literature Review
3 Methodology
3.1 Algorithm
3.2 Self-Supervised Learning
3.3 Feature Encoder
3.4 Implementation
3.5 Data Preprocessing
3.6 Training
4 Results and Discussions
5 Conclusion
References
Intelligent Online Voting System for Twenty-First Century and Smart Cities 5.0: An Empirical Approach through Blockchain with ML Techniques
1 Introduction
2 Literature Review
2.1 Challenges in Decentralized Voting System
3 Results and Discussions
4 Novelties
5 Recommendations
6 Future Research Directions and Limitations
6.1 Limitations
6.2 Future Directions
7 Conclusions
References
An Empirical Study on Credit Risk Assessment Using Ensemble Classifiers
1 Introduction
2 Related Works
3 Different Computational Models
3.1 Decision Tree
3.2 Ensemble Learning
4 Implementation and Analysis
5 Experimental Results and Discussion
6 Conclusion
References
Audio Based Text Summarization Using Natural Language Processing
1 Introduction
2 Literature Review
3 Methodology/Algorithm
3.1 Data Pre-Processing
3.2 Transformer Learning
3.3 Contact Author Information
4 Result
5 Conclusion
References
Blockchain-Enabled Security in Vehicular Ad Hoc Network
1 Introduction
1.1 Blockchain (BC) Technology
1.2 BC in Vehicular Industry
2 Review of Literature
3 Comparative Analysis
3.1 Data Security Sharing and Storage System Based on the Consortium Blockchain (DSSCB)
3.2 Comparative Analysis Based on Transaction Cost
4 Conclusion and Future Scope
References
Stock Selection Using Ontological Financial Analysis
1 Introduction
2 Literature Survey
3 Ontological Framework
4 Discussion
5 Conclusion
References
Components of Information Diffusion and Its Models in Online Social Networks
a Comparative Study
1 Introduction
2 Components of Information Diffusion
3 Information Diffusion Models
3.1 Explanatory Models
3.2 Prediction Models
3.3 Some Explanatory Models
3.4 Prediction Models
4 Conclusion
References
Development of a Residual Neural Network Architecture for the Detection of Diabetic Retinopathy in Retinal Fundus Images
1 Introduction
2 Background
3 Methodology
4 Results
5 Conclusion
References
Prediction Markets Using Machine Learning
1 Introduction
2 Related Work
3 Methodology
3.1 Dataset Used
3.2 Algorithm Used
4 Result and Discussion
5 Conclusion
References
Evaluation of Optimum Batting Order Based on Partnership Analysis Using Ant Colony Optimization Technique
1 Introduction
2 Performance Criteria
3 Dataflow and Algorithm
4 Results
5 Conclusion
References
Identification of Rock Images in Mining Industry: An Application of Deep Learning Technique
1 Introduction
2 Convolutional Neural Network
3 Dataset Description
4 Proposed Methodology
5 Results and Discussion
6 Conclusion
References
Evaluation of Teachers' Performance Using Fuzzy Inferences System
1 Introduction
2 Literature Review
3 Proposed Expert System
4 Result and Discussion
5 Conclusion
References
A Detailed Analysis on Intrusion Detection Systems, Datasets, and Challenges
1 Introduction
2 Machine Learning Systems
3 Literature Survey
4 Challenges in IDS
5 Problem Identification
6 Performance Evaluation Parameters
7 Conclusions
References
Object Detection Under Low-Lighting Conditions Using Deep Learning Architectures: A Comparative Study
1 Introduction
2 Related Work
3 Methodology
4 Dataset Description
5 Image Enhancement Techniques
6 Object Detection Algorithms
7 Results and Discussion
8 Conclusion and Future Work
References
Terahertz Image Processing: A Boon to the Imaging Technology
1 Introduction
2 Biomedical Applications and Imaging
3 Acts as an Inspection Tool
4 Production and Quality Control in Paper and Polymer Industry
5 Terahertz Holography
6 Current Scenario of THz Imaging in Biomedical Applications
7 Conclusion
References
Developing a Talent Identification Model for Predicting Player Position in Football Using Machine Learning Algorithms
1 Introduction
2 Literature Review
3 Methodology
3.1 Player Dataset
3.2 Data Pre-processing
3.3 Model Building
3.4 Model Evaluation
4 Analysis
5 Conclusion and Scope for Future Research
References
Implementation of Anticipated Technique in Digital Mammography for Piloting Classification of Breast Cancer Using CNN
1 Introduction
2 Literature Survey
3 Research Methodology
4 Implementation and Results
4.1 Data Collection
4.2 Preprocessing
4.3 GUI Implementation
5 Conclusion and Future Scope
References
Three-Layered Hybrid Analysis Technique for Android Malware Detection
1 Introduction
1.1 Android Malwares
1.2 How Malwares Get into Device
1.3 Types of Detection Methods
2 Related Work
3 Methodology
4 Conclusion and Future Scope
References
A Survey on LSB Replacement-Based Statistical Image Steganalysis Techniques
1 Introduction
2 LSB-Based Statistical Steganalytic Techniques
2.1 Chi-Squared Attack
2.2 Regular Singular (RS) Analysis
2.3 Sample Pair Analysis (SPA)
2.4 Least Square Method (LSM)
3 Existing Work with Statistical Steganalysis for LSB Steganography
4 Comparative Analysis
5 Conclusion
References
Emotion Recognition Using Text and Speech Through Machine Learning
1 Introduction
2 Literature Review
3 Dataset
4 Methodology
5 Performance Metrics
6 Experiments and Results
7 Conclusion and Future Work
References
Condition-Based Monitoring of Power Transformer with Graphical Analysis of Incipient Faults Using Fuzzy Inference Expert System
1 Power Transformer Insulation Degradation Analysis
1.1 Incipient Faults and Its Interpretation with Different Parameters
1.2 Fuzzy Inference Expert System to Diagnose Incipient Faults
2 Dissolved Gas Analysis Methods for Faults Diagnosis
2.1 IEC-DGA Method for Incipient Faults Diagnosis
2.2 Rogers DGA Method for Incipient Faults Diagnosis
2.3 CIGRE-DGA Method for Incipient Faults Diagnosis
2.4 Gouda's Three Gas Ratio DGA Method for Incipient Faults Diagnosis
2.5 Duval's Triangle Based DGA Method for Incipient Faults Diagnosis
3 Oil and Paper Combined Deformation for Faults Diagnosis
3.1 Furan-Based Chemical Compounds for Incipient Faults Diagnosis
3.2 Moisture and Interfacial Tension-Based Incipient Faults Diagnosis
4 Expert System Testing and Validation for Faults Diagnosis
4.1 Limitations and Future Scopes of the Proposed Research Methodology
5 Conclusion
References
Disease Classification in the Cotton Using Convolution Neural Networks
1 Introduction
2 Literature Review
3 Convolution Neural Networks
4 Proposed Methodology for Disease Classification
5 Results
6 Conclusion
References
A Short Review on XAI Techniques in Text Data
1 Introduction
2 Related Work
3 Approaches in XAI
3.1 XAI Taxonomy Based on the Scope
3.2 XAI Taxonomy Based on the Development Stage
3.3 XAI Taxonomy Based on the Working Principle
3.4 XAI Taxonomy Based on the Model Dependency
3.5 XAI Taxonomy Based on the Features of the Input Data
4 Analyzing the Related Works in Text Analytics
5 Discussion
6 Conclusion
References
Performance of Multi Hop, Multi Link CRN with Energy Harvesting in Presence of CCI
1 Introduction
2 System Model
3 Performance Analysis
4 Results and Discussion
5 Conclusions
References
Performance Evaluation of Path Restoration Techniques in a Network
1 Introduction
2 Related Work
2.1 The Haskin Model
2.2 The Makam Model
2.3 The Simple Dynamic Model
2.4 GEIL AHN'S Model
2.5 Directory Server Model
2.6 Proposed Model
3 Analysis of the Existing Approaches
3.1 Simulation Through MANET
3.2 Simulation Through NS2
4 Conclusion and Future Scope
References
An Insight to Bitcoin Price Using Weber's Law
1 Introduction
2 Bitcoin
3 Zipf's Law
4 Weber's Law
5 Data Validation of Bitcoin Price Using Weber's Law
6 Comparative Analysis of Validation Using Zipf's Law
7 Conclusion
References
Named Entity Recognition Using Deep Learning and BERT for Tamil and Hindi Languages
1 Introduction
2 Related Work
3 Proposed Work
3.1 Data
3.2 Data Preprocessing
3.3 Word Embedding
3.4 Description of Models
3.5 Hyperparameter Tuning
4 Results and Discussions
5 Conclusion
References
Brain Signal Classification Using Decomposition Techniques and Deep Learning
1 Introduction
2 Theoretical Background
3 Methodology
4 Results
5 Conclusion
References
PSO-Based Traffic Signals in a Real-World City
1 Introduction
2 Literature Review
3 Simulator and PSO Algorithm
4 Methodology
5 Result and Discussion
6 Conclusion
References
BERT-Based Dependency Parser for Hindi
1 Introduction
2 Related Work
3 Proposed Work
3.1 Data
3.2 Methodology
4 Results and Discussion
5 Conclusion
References
Game Theory Strategies in Cloud Security with Implementation
1 Introduction
1.1 Examples of Game Theory
2 The Prisoner's Dilemma
2.1 Game Theory Strategies
3 Cloud Security Transparency
3.1 Game Theory Concepts in Cloud
4 Implementation of Game Theory in Cloud
4.1 Algorithm
5 Conclusion
References
Detection of Phishing Attack Using Machine Learning
1 Introduction
2 Related Work
3 Methodology
4 Result and Discussion
4.1 Logistic Regression
4.2 Random Forest
4.3 Variable Importance Chart
4.4 ROC Curve
5 Conclusions
References
An Efficient Framework to Maximize Street Lighting Coverage
1 Introduction
2 Related Works
3 Preliminaries
4 Problem Formulation
5 Proposed Approach
6 Simulation Results
7 Conclusion
References
Traveling Tournament Problem and the Different Methods of Solutions: A Brief Review
1 Introduction
2 Different Methods of Analysis
3 Conclusion
References
Application of Binary Flower Pollination Optimization in Radial Distribution System
1 Introduction
2 Power Flow Analysis in R.D.S
2.1 Real and Reactive Power Flow with the Installation of STATCOM
2.2 Computation of Bus Voltages
3 Problem Formulation
3.1 Binary Decision Vector
3.2 Objective Function
3.3 Optimization Constraints
4 Pseudo Code of BFPO
5 Simulation Result and Discussion
6 Conclusion
References
Development of a Natural Calamity Alert System for Tourists: An Application of PEAS Technology
1 Introduction
2 Related Work
3 Dataset
4 Working Principle
4.1 PEAS Description
4.2 Adjacency Matrix and Graphical Representation
5 Results and Discussion
6 Conclusion
References
Resource Allocation and Optimization Scheduling Scheme of Edge Resources in Fog Computing Access Network
1 Introduction
2 Literature Survey
3 Resource Allocation and Optimization Scheduling Scheme
4 Simulation Results
5 Conclusion
References
On Multi-objective Fuzzy Shortest Path Problem
1 Introduction
2 Preliminary Concepts
3 Problem Definition
3.1 Chance-Constrained Model
4 Numerical Illustration
5 Conclusion
References
Design and Simulation of Microstrip Patch Antennas with Textile Dielectrics for Body Sensor Networks (BSNs) and Wearable IoT Applications
1 Introduction
2 Work-Related to WBAN and Wearable IoT Applications
3 Antennas for BSNs and Wearable IoT Applications
4 Textile Antennas and Factors Influencing Their Performance, and the Design
5 Design of Microstrip Patch Antennas (MSAs)
6 Simulation Results
7 Conclusion
References
An Investigation into the Efficacy of Interactive Tools in the Online Teaching-Learning Process
1 Introduction
2 Literature Review
3 Framework and Methodology
4 Results and Analysis
5 Conclusion and Future Work
References
Steganography Tools and Their Analysis Concerning Distortion in Stego Image
1 Introduction
2 Working of Steganography Tools
2.1 OpenStego Tool
2.2 OpenPuff Tool
3 Steganalysis of Steganography Tools
3.1 Analyzing the Distortion Induced in Position of Bit Used for Embedding
3.2 Analyzing Distortion Using Histogram
3.3 Analyzing Distortion Using Spectrum Analysis
3.4 Analyzing Distortion Using Entropy
3.5 Analyzing Distortion Using Similarity Index
4 Conclusion
References
Density-Based Spatio-Temporal Clustering Model for Earthquake Analysis and Seismo-Tectonic Zoning
1 Introduction
2 Earthquake Catalog
3 Proposed Methodology
3.1 Phase-I Local Density-Based Clustering in Spatial Domain
3.2 Phase-II Density Based Temporal Clustering on Seismic Zones
4 Results and Discussion
5 Conclusion and Future Scope
References
Reconfigurable Intelligent Surface-Based Cooperative Spectrum Sensing Over Noisy Reporting Channel
1 Introduction
2 System Model
3 Performance Analysis of RIS-Based CSS
3.1 Probability of Detection with Access Point RIS
3.2 Cooperative Spectrum Sensing
4 Numerical Results and Discussion
5 Conclusion and Future Scope
References
Optimization of Crystalline Silicon Solar Cell Parameters Using PC1D
1 Introduction
2 Proposed Work
3 Results and Discussion
3.1 Determining Optimal Emitter Thickness
3.2 Determining Optimal Emitter Doping Concentration
3.3 Determining Optimal Base Doping Concentration
3.4 Determining Overall Optimal Parameters
4 Conclusion
References
Machine Learning-Based Approach for Prediction of Forest Fire Using Ensemble Learning
1 Introduction
2 Generalized Forest Fire Detection System
3 Related Works
4 Proposed Methodology
5 Results
6 Conclusion
References
Artificial Intelligence in Military Applications of 21st Century
1 Introduction
2 Literature Survey
2.1 Artificial Intelligence and Its Application in Defence
3 Conclusion and Future Scope
References
Quality of Service of the Internet of Things-A Survey of Current Research Trends for Evolving 5G-IoT Scenario
1 Introduction
1.1 Emerging IoT Applications
1.2 5G in IoT
1.3 Survey Methodology
2 Current Research Trends
2.1 Research Trends of 5G in IoT
3 Quality of Service (QoS) of IoT
4 Future Research Direction
5 Conclusion
References
Optimization of Classification Algorithm for Improving Semantic-Based Text Classification
1 Introduction
2 Related Works
3 Semantic Based Classification Model
3.1 Pre-processing
3.2 Document Representation
3.3 Dictionary Model
3.4 Term Weighting
3.5 Classification
4 Result and Discussions
4.1 Performance Metrics
5 Conclusion and Future Work
References
Meme-Text Analysis: Identifying Sentiment of Memes
1 Introduction
2 Literature Survey
3 Model Description and Training
3.1 Methods
4 Dataset and Preprocessing
5 Results and Discussion
6 Conclusion and Future Scope
References
Augmented Reality in Chemistry Education: An Exploratory Analysis
1 Introduction
2 Exploratory Analysis
3 Methodology
3.1 Planning
3.2 Defining the Scope
3.3 Searching
3.4 Screening
3.5 Data Extraction and Synthesis
3.6 Analyzing
3.7 Writing
4 Conclusion and Future Scope
References
Survey of Pedestrian Trajectory Prediction Techniques Using Surveillance Videos
1 Introduction
2 Long Short-Term Memory (LSTMs)
3 Graph Attention Network (GAT)
4 General Adversarial Network (GAN)
5 Others
6 Discussion and Future Scope
References
Oil Spill Detection from Images Using Deep Learning
1 Introduction
2 Deep Learning Architectures
3 Materials
4 Methodology
5 Experiments
5.1 Pre-processing
5.2 Convolutional Neural Network (CNN)
5.3 VGG-16, VGG-19, Inception V3, ResNet-50, Xception
6 Results
7 Conclusion
References
An Efficient 8T GDI Enable Full Adder Design for Data Path Subsystem
1 Introduction
2 Proposed Methodology
3 Result and Discussion
4 Conclusion
References
A Transfer-Learning-Based Deep Network for Detecting Violence in Real-Time Videos
1 Introduction
2 Proposed Method
2.1 Basic Idea
2.2 Network Architecture
2.3 Transfer Learning
3 Result and Discussion
4 Conclusion and Future Work
References
Detection of Chaotic Cellular Automata Using Convolutional Neural Networks: A Comparative Study
1 Introduction
2 Cellular Automata and Chaos
2.1 Cellular Automata
2.2 Chaos in Cellular Automata
3 Convolutional Neural Network
4 Proposed Work
5 Results and Discussions
6 Conclusion
References
Bird Species Identification and Classification Based on Feature Analysis Using VGG19 Framework
1 Introduction
2 Related Work
3 Proposed Work
3.1 Identified Problem
3.2 VGG-19 Framework
3.3 Dataset Overview
3.4 Proposed Algorithm
4 Results Analysis
5 Conclusion
References
Exploring the Human USP Gene Family and Its Association with Cancer: An In Silico Study
1 Introduction
2 Materials and Methods
2.1 Sequence Retrieval of the Human USP Genes
2.2 Identification of Paralogous Gene Pairs
2.3 Determination of Interacting Partners and CpG Islands
2.4 USP Cancer Expression Data Retrieval
2.5 Functional Distance Calculation
3 Results and Discussion
3.1 The Abundance of Paralogous Genes in the USP Family
3.2 USP Gene Expression in Cancer
3.3 Analysis of the Protein-Protein Interactions in the USP Gene Family
3.4 Functional Divergence Observed Among the Paralogous Genes
3.5 Analysis of the Evolutionary Rate of Genes in the USP Family
3.6 CpG Island Analysis
4 Conclusion
References
AI in Pervasive Healthcare: A Survey
1 Introduction
2 Background
3 Literature Review
4 Conclusion
References
Analysis and Detection of Alzheimer's Disease Using Machine Learning Approach
1 Introduction
2 Methodology
2.1 Data Sets Used and Methods Applied
2.2 Analysis of Voxel-Based Morphometry
2.3 Analysis of Volume-Based Morphometry
2.4 Proposed GSVM Algorithm
3 Result and Discussion
4 Conclusion
References
Design of Cost-Effective WSN by Minimizing Energy Consumption Using Hybrid Algorithm
1 Introduction
2 Literature Review
3 Methodology
4 Result Analysis and Discussion
5 Conclusion
References
Isolating Brain Tissue from Abnormal Tissue Using MRI-Based U-Net Convolutional Neural Network
1 Introduction
1.1 Related Work
1.2 The Proposed Method
1.3 Results
1.4 Conclusion
References
Plant Disease Identification Through Study of Leaf Images
1 Introduction
2 Literature Survey
3 Proposed Technique
3.1 Handcrafted Feature Extraction
3.2 Automated Feature Extraction Through Pre-trained CNN
4 Results and Discussion
5 Conclusion
References
An Analysis of Random Non-deterministic Signals Using Recursive Methods and Stochastic Control System
1 Introduction
2 Literature Review
2.1 Different Analysis Processes for Implementation of Continuous to Discontinuous Analysis
3 Conclusion
References
A Machine Learning-Based Approach to Identify Hand Gestures
1 Introduction
2 Literature Survey
3 Background
4 Proposed Work
5 Results
References

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Advances in Data Science and Computing Technologies

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