Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications: ICAIAA 2021 (Algorithms for Intelligent Systems)

✍ Scribed by Garima Mathur (editor), Mahesh Bundele (editor), Mahendra Lalwani (editor), Marcin Paprzycki (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 850
• Category: Library

✦ Synopsis

This book gathers outstanding research papers presented in the 2nd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2021), held in Poornima College of Engineering, Jaipur, India during 27-28 March 2021. This book covers research works carried out by various students such as bachelor, master and doctoral scholars, faculty and industry persons in the area of artificial intelligence, machine learning, deep learning applications in healthcare, agriculture, business, security, etc. It will also cover research in core concepts of computer networks, intelligent system design and deployment, real time systems, WSN, sensors and sensor nodes, SDN, NFV, etc.

✦ Table of Contents

Preface
Contents
About the Editors
1 Detecting Depressive Online User Behavior During Global Pandemic by Fusing LSTM and CNN Models
1 Introduction
2 Related Work
3 Proposed LSTM + CNN Fusion Methodology
4 Chatbot Assistance for Depressive Users
5 Experiments and Results
6 Conclusion and Future Work
References
2 Simplifying and Optimizing the Convolution Encoding Algorithm in Error Control Codes
1 Introduction
2 Related Literature
3 Methodology
4 Analysis and Design
5 Results and Discussion
6 SUMMARY AND CONCLUSION
References
3 An Efficient HIDS System Using Machine Learning Algorithm and Evidence Theory
1 Introduction
2 Literature Review
3 Proposed Work
3.1 Generalized Delta Learning Rule
4 Result Analysis
5 Conclusion
References
4 Self-Supervised Learning for COVID 19—An Envision to Salvage Model
1 Introduction
2 Stages of COVID-19
3 The Self-Supervised Learning
4 The Proposed Envision-Salvage Model
4.1 The Detection Phase
4.2 The Action Phase
4.3 The Handle Phase
4.4 The Control Phase
4.5 The Salvage Phase
5 Conclusion
References
5 Forecast of Covid Cases Using Deep Learning Algorithm
1 Introduction
2 Proposed Materials and Methods
2.1 Activation Function
3 Simulation Result
4 Conclusion
References
6 Prediction of the Geographical Origin of Soils Using Ultra-Performance Liquid Chromatography (UPLC) Fingerprinting and K-Nearest Neighbor (K-NN)
1 Introduction
2 Methodology
2.1 Data
2.2 K-Nearest Neighbor (K-NN) Algorithm
3 Results and Discussions
3.1 Mean Chromatograms
3.2 Principal Component Analysis (PCA)
3.3 K-NN Modeling
4 Conclusion
References
7 A Novel Entropy-Based FCM Algorithm Using Inverse Fuzzy Membership Framework and Uncertainty Measure for Segmentation of Brain MR Images
1 Introduction
2 The EbFCM Clustering Algorithm
2.1 Algorithm: EbFCM
3 Experimental Results
3.1 Experimental Results Using Simulated Brain MR Image Data
3.2 Experimental Results Using Brain MR Image Data of Real Patients
4 Conclusion
References
8 A Quick and Single-Ended Scheme for Fault Detection and Classification on Transmission Line
1 Introduction
2 Application of the Scheme
3 Presented Fault Detection (FD) Scheme
4 Simulation Effects
4.1 Fault Resistance (FR) Variation
4.2 Fault Application Time (FAT) Variation
4.3 Fault Location (FL) Variation
5 Conclusion
References
9 A Method of Micro Pixel Similarity for Lung Cancer Diagnosis Using Adaboost
1 Introduction
1.1 Average Information Method [9, 10]
1.2 A Coalition of Photometric and Quality Metric Method [11]
2 Micro Pixel Similarity Technique
2.1 Mean Absolute Error (MAE)
2.2 Absolute Difference (AD)
2.3 Skewness
2.4 Mean Square Error (MSE)
2.5 Structural Similarity Index (SSIM)
3 Material and Methodology
3.1 Material
3.2 Methodology
3.3 Artificial Neural Network (ANN)
3.4 Standard Diagnostic Test
4 Results and Discussions
4.1 Calculation of Statistical Parameter Range
4.2 Parameter Analysis of Lung Images
4.3 Accuracy of the Parameters
4.4 ANN-Adaboost an Image Classifier
4.5 Standard Diagnostic Test Results of the Proposed Method
5 Conclusions
References
10 Multi-Agent Intrusion Detection System Using Sparse PSO K-Mean Clustering and Deep Learning
1 Introduction
1.1 Host-Based IDS
1.2 Network-Based IDS
1.3 Anomaly and Signature Detection
2 Literature Review
3 Proposed Methodology
3.1 Sparse PSO K-Mean Clustering Algorithm
3.2 Ensemble LSTM Training
4 Result Analysis
5 Conclusion
References
11 Application of Hybrid of ACO-BP in Convolution Neural Network for Effective Classification
1 Introduction
2 Related Work
3 Background
3.1 Deep Learning Model-CNN
3.2 Ant Colony Optimization
3.3 Training of Neural Network Using Hybrid of ACO-BP
4 Proposed Method
5 Experiment
6 Conclusion
References
12 Artificial Intelligence-Enabled IoT-Based Smart Blood Banking System
1 Introduction
2 Literature Review
3 Smart Blood Bank Inventory System Design
3.1 Blood Data Tracer
3.2 Database-based Non-real-time Location Donor Request
3.3 GPS-Based Real-Time Donor Request
4 Conclusion
References
13 An Attention-Based Medical NER in the Bengali Language
1 Introduction
2 Related Work
3 Dataset
3.1 Structuring the Dataset
3.2 Tokenization and Lemmatization
4 Methodology
4.1 BiLSTM
4.2 Attention Layer
4.3 CRF Layer
5 Experimental Setup
5.1 Dataset
5.2 Hyperparameter
6 Result Analysis
7 Conclusion
References
14 Malware Classification Based on Various Machine Learning Techniques
1 Introduction
2 Related Work
3 Methodology
4 Result and Discussion
5 Conclusion and Future Work
References
15 Predicting Survivability in Oral Cancer Patients
1 Introduction
2 Oral Tumorigenesis
3 Data Sources
4 Survival Prediction in Oral Cancer
5 Conclusion
References
16 Semantic Similarity Extraction on Corpora Using Natural Language Processing Techniques and Text Analytics Algorithms
1 Introduction
2 Literature Review
3 Word and Meaning Relationships
4 Pre-Processing or Text Normalization
5 Word Statistics, Lexical Analysis, and Comparison of Corpora
6 Semantic Similarity Analysis
7 Vectorization and Weighing Schemes
8 Perfect Matching Algorithm
9 Results and Discussion
10 Conclusion
References
17 Reliability Enhancement in Harmony with Prudent Coding for Flight Critical Embedded Automatic Control Software
1 Introduction
2 Background and Current Work
3 Related Work
4 Methodology
4.1 Non-Existence of Dead Code
4.2 Compliance to Coding Standards
4.3 Absence of Run-Time Errors
5 Conclusions and Future Work
References
18 Multi-Location Faults in Transmission Lines: Detection and Classification
1 Introduction
2 Application of the Scheme
3 Presented Scheme
4 Simulation Effects
4.1 Faults When FAT, FT, and FIL Are Varied
4.2 Faults When FR, FT, and FIL Are Varied
4.3 Faults When GR, FT, and FIL Are Varied
5 Conclusion
References
19 Early Epilepsy Seizure Prediction Using CNN
1 Introduction
2 Related Work
3 Proposed System
4 Implementation Details
4.1 View Data
4.2 Algorithm Used
5 Conclusion
References
20 Particle Swarm Optimization with Weighted Extreme Learning Machine for Software Change Prediction
1 Introduction
2 Related Work
3 PSOWE—The Proposed Model for Software Change Prediction
3.1 Feature Selection Using Particle Swarm Optimization
3.2 Classification Using Weighted Extreme Learning Machine
4 Experimental Setup
4.1 Dataset Collection and Description
4.2 Performance Measures
4.3 ML Techniques
4.4 Parameter Settings
4.5 Validation Technique and Statistical Tests
5 Experimental Results
6 Conclusions
References
21 Advanced Identification of Alzheimer's Disease from Brain MRI Images Using Convolution Neural Network
1 Introduction
2 Methodology and Proposed Model
2.1 Dataset
2.2 Image Processing Module
2.3 Convolution Neural Network (CNN)
2.4 Proposed Model
2.5 Evaluation Metrics
3 Experimental Results
4 Conclusion and Future Remarks
References
22 Flower Classification in Videos: A HOG-PCA-NN Method
1 Introduction
2 Related Works
3 Proposed Method
3.1 Segmentation
3.2 Texture Feature
3.3 Dimensionality Reduction
3.4 Classification
4 Experimentation
4.1 Dataset
4.2 Experimental Setup
4.3 Experimental Result
4.4 Comparative Analysis
5 Conclusion
References
23 Impact of Overall Service Quality and Technology Factors on the Intention to Use the Internet of Things (IoT) at Bescom
1 Introduction
2 Review of Literature
3 Materials and Methodology
4 Results and Discussion
4.1 Mean and Standard Deviation of Expected Service Quality
4.2 Exploration of Factors Impacting the BESCOM consumer’s Intention to Use IoT by Means of Friedman Test
4.3 Pearson Correlation Coefficient Between Factors of Expected Service Quality and Factors of Technology Acceptance
4.4 Multiple Regression Analysis
5 Conclusion
References
24 Transformer Deep Learning Model for Bangla–English Machine Translation
1 Introduction
2 Transformer-Based Bangla–English MT
2.1 Data Preprocessing
2.2 Transformer Architecture and Its Adaptation
3 Experimental Studies
3.1 Benchmark Data and Preprocessing
3.2 Performance Evaluation and Experimental Setup
3.3 Experimental Results and Analysis
4 Conclusions
References
25 Application of Machine Learning for Heart Disease Prediction
1 Introduction
2 Machine Learning
3 Related Work
4 Methodology
5 Results and Discussion
6 Conclusion
References
26 Time Series Analysis and Forecasting on Crime Data
1 Data Analytics
1.1 An Introduction
1.2 Kinds of Data Analytics
2 Existing System
3 Proposed System
3.1 About Dataset
3.2 Proposed Methodology
4 Exploratory Data Analysis on Crime Data of City Sacremento
5 Predictive Analysis Using FB Prophet Time Series Algorithm
6 Results and Discussion
7 Conclusions
References
27 Linguistic Data Analysis Using Nagel Point-Based Ranking Fuzzy Numbers for Financial Risk Management
1 Introduction
2 Preliminaries
2.1 Definition of Nagel Point
2.2 Triangular Fuzzy Numbers
2.3 Linguistic Variables
3 Proposed Method for Evaluation of Financial Risks
4 Implementation
5 Conclusion
References
28 Design of AMC-Based Metasurface Loaded Slot Antenna for Wideband RCS Reduction and Gain Improvement
1 Introduction
2 Design Principle and Analysis of AMC-Based Metasurfaces
2.1 Design Principle of AMC Unit Cell
2.2 Design of AMC Metasurface Configurations
3 Implementation of AMC Metasurface with Slot Antenna
3.1 Construction of SRR Inspired Slot Antenna
3.2 Implementation of Antenna with Two Different Metasurface Configurations
4 Analysis of Metasurface Loaded Antennas
4.1 Radiation Performance Analysis
4.2 Scattering Characteristics Analysis
5 Results and Discussion
6 Conclusion
References
29 A Novel Hybrid ASO-NM Algorithm and Its Application to Automobile Cruise Control System
1 Introduction
2 Atom Search Optimization
3 Nelder-Mead Method
4 Proposed Hybrid ASO-NM Algorithm
5 Experimental Results on Benchmark Functions
6 ASO-NM for PID-Based Automobile Cruise Control System
6.1 Modeling of Automobile Cruise Control System
6.2 Proposed PID Tuning Method Using ASO-NM Algorithm
6.3 Statistical Test Analysis
6.4 Transient Response Analysis
6.5 Comparison with the Existing Approaches
7 Conclusion
References
30 Radar Target Recognition and Classification Using Supervised Machine Learning Approaches
1 Introduction
2 Data Generation
2.1 Sphere
3 Wavelet Packet Transform
3.1 MODWPT
3.2 Entropy-Based Features
4 Supervised Learning Methods
4.1 Support Vector Machine
4.2 k-Nearest Neighbor
4.3 Artificial Neural Network
5 Results
6 Conclusions
References
31 Nacelle: Knowledge Graph-Based Conversational AI for Skills Gap Analysis to Achieve Sustainable Learning at Workplace
1 Introduction
2 Related Work
3 Approach
3.1 System Architecture of Nacelle
3.2 Knowledge Graph-Based SGA-Guided Logic
3.3 SGA Analyzer
4 Implementation
4.1 Text Classification in Nacelle
4.2 Data Collection
5 Result
6 Conclusion
References
32 On the Use of Machine Learning for Soil Condition Monitoring
1 Introduction
2 Current Methods
3 Case Study
4 Conclusion and Future Work
References
33 Distributed Association Mining for Discovering Interesting Rules for Tours and Travel Company
1 Introduction
2 Related Work
3 Methodology
3.1 Terminology
3.2 Distributed Mining of Association Rules
4 Implementation and Results Analysis
5 Conclusion and Future Work
References
34 Estimation of Wave Overtopping Discharge at Quarter Circle Breakwater Using LSSVM
1 Introduction
2 Methodology of LSSVM
3 Data Collection
4 Results
5 Summary and Conclusions
5.1 Summary
5.2 Conclusions
References
35 Hybrid CNN-LSTM for Traffic Flow Forecasting
1 Introduction
2 Literature Review
3 Deep Learning Models
3.1 Convolutional Neural Networks (CNN)
3.2 Long Short-Term Memory (LSTM)
4 Proposed Hybrid CNN-LSTM
4.1 Data Preprocessing and Network Initialization
4.2 Hybrid CNN-LSTM Model
4.3 Model Evaluation
5 Results and Discussion
6 Conclusion
References
36 Classification of Driving Behaviour Using Machine Learning Methods at Signalized Intersections in Urban and Suburban Roads
1 Introduction
2 Explanation of a Problem or Dilemma Zone
3 Driving Simulator
3.1 Drivers
4 Results and Discussion
4.1 The Classification Performance Using 70:30 Rule
4.2 The Performance of Classification with Multiple Repetitions Using Random Segregation
5 Development of Pre-warning System Based on the Distance Approaching the Intersection
6 Conclusions and Future Work
References
37 A Granular Intuitionistic Fuzzy Meta Clustering Algorithm and Its Application
1 Introduction
2 Literature Review
2.1 Hard k-means
2.2 Fuzzy c-means
2.3 Intuitionistic Fuzzy c-means
2.4 Rough c-means
2.5 Hybrid Clustering Methods
2.6 Granular Computing
2.7 Meta Clustering
2.8 Proposed Algorithm
3 Results and Discussion
4 Conclusions
References
38 A Dynamic Web Data Extraction from SRLDC (Southern Regional Load Dispatch Centre) and Feature Engineering Using ETL Tool
1 Introduction
1.1 Problem Definition
2 Literature Review
2.1 Quantitative Review Summary
2.2 Research Questions Formulation
2.3 Search Query Keywords
2.4 Research Gap
3 Proposed Model for Dynamic Web Data Extraction
3.1 Design Process of Extraction
3.2 Transformation Design
3.3 Process Loading
4 Proposed Model for Dynamic Web Data Extraction
5 Implementation Metrics
6 Generated Dataset Using Proposed Automation Procedure
7 Conclusion and Future Enhancement
References
39 A Systematic Study of Intelligent Face Scanning in Rare Disease Detection
1 Introduction
2 Literature Review
2.1 Detection Using Machine Learning
2.2 Detection Using Deep Learning
3 Comparative Analysis
4 Open Issues and Challenges
5 Conclusion
References
40 Unlocking the Potential of Natural Language Processing and Healthchatbots in Healthcare Management
1 Introduction
2 NLP: The Real Opportunities for Health Care
3 Healthchatbots: Reconnoitering Language Understanding in EHR Scenarios Using Chatbots
3.1 InformationChatbot
3.2 Commerce Chatbot
3.3 Enterprise Productivity Chatbots
3.4 IoT devices
4 Conclusion
References
41 Multi-objectives for TCSC Placement Using Self-adaptive Firefly Algorithm
1 Introduction
2 Self-adaptive Firefly Algorithm
3 Mathematical Modeling of TCSC
3.1 Problem Formulation
3.2 SAFA Variables Illustration
3.3 Fitness Function
4 Simulation Solution and Discussion
5 Conclusions
References
42 Evaluation of Machine Learning Models for Sign Language Digit Recognition
1 Introduction
2 Related Works
3 Methods and Materials
3.1 Skin Segmentation
3.2 Learning Models
3.3 Training and Testing
4 Evaluation
5 Conclusions and Future Works
References
43 Parking Lot Occupancy Detection Using Hybrid Deep Learning CNN-LSTM Approach
1 Introduction
2 Related Works
3 Methodology
3.1 Hybrid-PLOD Model
3.2 Working
4 Experiments
4.1 Dataset
4.2 Experiment Result
5 Conclusion
References
44 Adaptive Exon Prediction Using Maximum Error Normalized Algorithms
1 Introduction
2 Adaptive Algorithms for Exon Prediction
3 Computational Complexities and Convergence Issues
4 Results and Discussion
5 Conclusion
References
45 A Novel Approach for Wavelength Optimization in GPON Quad Play
1 Introduction
2 Literature Review
3 Existing GPON Triple Play and Proposed Quad Play
4 Simulation Design
5 Result Analysis
6 Conclusion
References
46 An Enhanced DBA for Supporting Maximum User with Minimum Delay
1 Introduction
2 Literature Review
3 Proposed DBA Algorithm
4 Simulation Design
5 Result Analysis
5.1 1:32 Splitting Ration (Up to 32 End User)
5.2 1:64 Splitting Ration (Up to 64 End User)
5.3 1:128 Splitting Ration (Up to 128 End User)
6 Conclusion
References
47 Malarial Parasite Detection Based on Smartphone Microscopic Imaging Using Deep Learning Approach
1 Introduction
2 Methodology
2.1 Image Acquisition
2.2 Pre-processing
2.3 Convolutional Layer
2.4 Residual Neural Network
2.5 Batch Normalization
2.6 Rectified Linear Unit
2.7 Fully connected layer
3 Results and Discussions
3.1 Inputs
3.2 Pre-processing
3.3 Prediction
3.4 Performance Metrics
4 Conclusion
References
48 LoRa-Based Sensing Network Setup and IoT Integration for Smart Agricultural Management
1 Introduction
2 Literature Survey:
3 Noteworthy Contribution
4 Research Objective
5 Proposed Methodology
6 Proposed System Architecture
7 Expected Outcome
8 Conclusion
References
49 Cataract Detection Using Textural Features and Machine Learning Algorithms
1 Introduction
2 Related Work
3 Automatic Cataract Diagnoses Model
3.1 Preprocessing
3.2 Feature Extraction Using GLCM
3.3 Feature Extraction Using SIFT
3.4 Making a New Feature Vector
3.5 Detection and Classification
4 Performance of the Proposed Model
4.1 Phase 1: SIFT with Various Classifier Algorithms
4.2 Phase 2: GLCM with Various Classifier Algorithms
4.3 Phase 3: Combination of GLCM and SIFT Feature Vectors and Applied on Various Classifier Algorithms
5 Discussion and Conclusion
References
50 Discrete Wavelet-Based Multi-Classifier Approach for Recognition of Offline Handwritten Hindi Numerals
1 Introduction
1.1 Discrete Wavelet Transform
1.2 Classifiers
2 Related Work
3 Methodology
3.1 Dataset Preparation
3.2 Dataset Pre-Processing
3.3 Feature Extraction
3.4 Classification
3.5 Recognition
4 Results And Discussions
4.1 Results
4.2 Discussions
5 Conclusion
References
51 Performance Evaluation and Comparison of Optical Amplifiers in Nonlinear Effects for WDM Long-Haul Transmission System
1 Introduction
2 Fiber Kerr Nonlinearity Effects
3 System Model
3.1 Optical Transmission Link Design for Long-Haul Transmission System
4 Results and Discussion
5 Conclusion and Further Study
References
52 Sentiment Analysis Through Machine Learning: A Review
1 Introduction
2 Literature Review
3 Data Collection and Process [17]
3.1 Review Sites
3.2 Blogs
3.3 Dataset
3.4 Microblogging
4 Sentimental Analysis Techniques
4.1 Lexicon-Based Approach
4.2 Machine Learning
4.3 Hybrid Approach
4.4 Related Work
5 Discussion
6 Conclusions
References
53 Optimization of Fractional-Order PID Controller (FOPID) Using Cuckoo Search
1 Introduction
2 Fractional Calculus: A Brief Introduction
3 Fractional-Order PID Controller
4 CS Algorithm
5 Simulation Results
6 Conclusions
References
54 Deep Model for Robust Tomato Disease Detection on Low-Resolution Leaf Images
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Dataset
3.2 Preprocessing
3.3 Models Used
4 Training
5 Results
6 Conclusion
References
55 Privacy-Preserving Dynamic Task Scheduling for Autonomous Vehicles
1 Introduction
2 Related Work
3 Proposed Work
3.1 System Overview
3.2 System Architecture
3.3 ID Selection and Matching Scheme
3.4 Dynamic Task Scheduling
4 Proposed Scheme
4.1 Matching Scheme
4.2 Cryptographic Processing
4.3 Task Scheduling
5 Result and Performance Analysis
5.1 Overall Result Analysis
5.2 Overheads and Evaluation
5.3 Analysis
6 Conclusion
References
56 Introduction of PMI-SO Integrated with Predictive and Lexicon Based Features to Detect Cyberbullying in Bangla Text Using Machine Learning
1 Introduction
2 Related Works
3 Methodology
3.1 Dataset
3.2 Preprocessig & Phrase Extraction
3.3 PMI
3.4 PMI-SO Generation
3.5 Generating Domain Specific Lexicon
3.6 Feature Extraction
3.7 Machine Learning Classifiers
3.8 Performance Analysis
4 Results and Discussion
5 Conclusion and Future Work
References
57 Graph-based data analysis in Big Data Computing Environment: An investigation of Flight Network Datasets
1 Introduction
1.1 Background
1.2 Motivation
1.3 Incorporating Graph Data Analytics
1.4 Paper Organization
2 Related Work
3 Proposed Research Work
3.1 System Architecture and Process Flow
4 Graph-Based Algorithms for Flight Network Systems
4.1 PageRank Algorithm
4.2 Label Propagation Algorithm
5 Execution and Implementation
5.1 Dataset Description
5.2 Execution
6 Conclusion
References
58 Key Exchange Using Tree Parity Machines: A Survey
1 Introduction
2 The Tree Parity Machine Algorithm
3 Analysis of Neural Cryptography
4 Deep-Learning-Based Cryptography
5 Security Improvements to the Tree Parity Machine
5.1 Security Improvement Using Private Inputs
5.2 Periodically Send Erroneous Outputs
5.3 Development of an Optimal Structure of Tree Parity Machine
5.4 Permutation Parity Machines for Neural Cryptography
5.5 Summary Table
6 Discussion and Conclusion
7 Notice
References
59 A Divisive Hierarchical Clustering Algorithm to Find Clusters with Smaller Diameter to Cardinality Ratio
1 Introduction
1.1 Problem Definition
1.2 Related Works
1.3 Our Contributions
2 Preliminaries
3 The Algorithm
3.1 Initial Divide
3.2 Temporary Cluster Creation
3.3 Merge by Greedy Heuristic
3.4 Filtering
3.5 Putting it all Together
4 Results and Analysis
5 Conclusions
References
60 Building Damage Detection Using Discrete Wavelet Transforms and Convolutional Neural Networks
1 Introduction
2 Literature Survey
3 Methodology
3.1 Dataset
3.2 Experimental Setup
3.3 Results
4 Comparative Analysis
5 Conclusion
References
61 Forward and Backward Modelling of Wire and Arc Additive Manufacturing Process using Multiple Adaptive Neuro-Fuzzy Inference System
1 Introduction
2 Methodology
2.1 Materials and Fabrication
2.2 Statistical Modelling and Data Generation
2.3 ANFIS Modelling for Forward and Backward Mapping
3 Results and Discussions
3.1 Simulation Results of Forward Modelling
3.2 Simulation Results of Backward Modelling
4 Conclusions
References
62 Wireless Sensor Networks Localization by Improved Whale Optimization Algorithm
1 Introduction
2 Background and Related Work
3 Original and Improved Whale Optimization Algorithm
3.1 Original WOA
3.2 Observed Deficiencies of Basic WOA
3.3 Improved WOA
4 Simulations and Discussion
5 Conclusion
References
63 An Application of OMFO for Optimal Bidding Strategy in Pay-as-Bid Auction Environment
1 Introduction
2 Problem Formation
3 Proposed Methodology
4 Simulation Results and Discussion
5 Conclusion
References
64 On-Device ML: An Efficient Approach to Classify Large Number of Images Using Multi-threading in Android Devices
1 Introduction
2 Requirements
3 Proposed Approach
3.1 Need For Multi-threading
3.2 Producer–Consumer Approach
3.3 Image Acquisition
3.4 Running Inference on Thread
4 Experimental Results
4.1 Model Description
4.2 Dataset
4.3 Results
5 Conclusion
References
65 A Conceptual Framework Based on Conversational Agents for the Early Detection of Cognitive Impairment
1 Introduction
2 Background
2.1 Review of the Literature
2.2 Smart Speakers
2.3 Gold Standard Tests
3 Methodology
4 Proposed Solution
5 Conclusion
References
66 Context-Based Quote Generation from Images
1 Introduction
2 Related Work
3 Proposed Work
4 Funding Details
5 Conclusion
6 Future Scope
References
67 Flood Hazard Mapping of Kuttanaad Region, Kerala
1 Introduction
1.1 Flood History of Kuttanaad Region
1.2 Flood Hazard Mapping
2 Literature Review
2.1 Study Area and Data
3 Methodology of Mapping
3.1 Analytical Hierarchical Process
3.2 Physical Parameters
4 Results and Discussions
References
68 Forest Fire Damage and Recovery Assessment of Bandipur Forest, India
1 Introduction
2 Study Area
3 Methodology
3.1 Selection of Temporal Range
3.2 Selection of Satellite Data
3.3 Data Preprocessing
3.4 Calculation of the NBR and dNBR
3.5 Classification
4 Results
5 Discussion
6 Conclusion
References
69 Wearable Fall-Detection Using Deep Embedded Clustering Algorithm
1 Introduction
2 Methodology
2.1 Deep Embedded Clustering
3 Experimental Analysis
3.1 Datatset
3.2 Experimental Setup
3.3 Results and Discussion
4 Conclusion
References
70 Assamese Character Recognition Using Convolutional Neural Networks
1 Introduction
2 Proposed Methodology
2.1 Datasets Used in Experiments
2.2 Dataset Preprocessing
2.3 Generating Final Image Dataset
2.4 CNN Model Architecture
2.5 Transfer Learning
3 Experimental Results and Analysis
4 Concluding Remarks
References
71 Modelling and Optimizing City Traffic Using an Agent Platform
1 Introduction
2 Agent-Based Simulator Design
3 Simulator Implementation
4 Experimental Validation
4.1 Traffic Jam Strategy
4.2 Traffic Obstacle Management Strategy
4.3 Transport Mode Switching Strategy
5 Concluding Remarks
References
Author Index