Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2021 (Advances in Intelligent Systems and Computing, 1349)

Preface
Committees
Acknowledgements
Contents
About the Editors
Application of Big Data and Machine Learning for Astrological Predictions
1 Introduction
2 Literature Review
3 Objective
4 Methodology
4.1 Customized User Interface as Envisaged
5 Benefits of the Proposal
6 Conclusion
References
A Comparative Analysis of Machine Learning Approaches in Personality Prediction Using MBTI
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset Description
3.2 Data Preparation
3.3 Data Preprocessing
3.4 Feature Extraction
3.5 Classification Model
4 Experimental Result Analysis
5 Conclusion
References
Performance Analysis of OFDM System on Multipath Fading and Inter Symbol Interference (ISI) Using AWGN
1 Introduction
2 Literature Review
3 Overview
3.1 OFDM System
3.2 Additive White Gaussian Noise (AWGN)
3.3 Quadrature Amplitude Modulation (QAM)
3.4 Fast Fourier Transform (FFT)
3.5 Inverse Fast Fourier Transform (IFFT)
3.6 Cyclic Prefix
3.7 Bit Error Rate (BER)
3.8 Bit Error Rate Performance of OFDM
4 Methodology
4.1 Proposed Model
5 Result and Discussion
5.1 Analysis an OFDM with QPSK Over AWGN
5.2 Analysis of Subcarrier Channel and Apply Random Binary Sequence
5.3 Bit Error Rate Analysis
6 Conclusion
References
Object Detection and Classification from a Real-Time Video Using SSD and YOLO Models
1 Introduction
2 Literature Review
3 Methodology
3.1 Environment Setup
3.2 Dataset
3.3 Object Detection and Recognition
4 Experimental Results and Analyses
5 Conclusion and Future Work
References
A Skin Cancer Image Detection Interface Tool Using VLF Support Vector Machine Classification
1 Introduction
2 Proposed Method Architecture
2.1 Dataset Description and Experimental Set up
3 Continued Feature Deliberation
3.1 Pre-Processing Image
3.2 Enhance Fuzzy C-mean Clustering with LDA
3.3 Feature Extraction with GLCM and PCA
4 SVM Classification Using VLF
4.1 VLF Calculation
5 Result and Analysis
6 Conclusion
References
Convolutional Neural Networks-Based Sentence Level Classification of Crime Documents
1 Introduction
2 Sentence Level Classification of Crime Documents
2.1 Dataset Collection and Preprocessing
2.2 Sentence Vectorization
2.3 Convolutional Neural Network for Classification of Crime Reports
3 Existing Methods
3.1 CNN + Word2Vec
3.2 LogR + Doc2Vec
3.3 ZeroMean/ElimMean + Word2Vec
3.4 BOW + LogR
4 Evaluation Results
5 Conclusion
References
An Optimum Fuzzy EOQ Model for Deteriorating Items with Shortages in a Particular Period
1 Introduction
2 Notation and Assumptions
2.1 Parameters
2.2 Assumption
3 Model Formulation
3.1 Crisp Inventory Model
3.2 Fuzzy Inventory Model with Indefinite Demand
4 Results and Discussion
5 Conclusion
References
Bangla Spoken Numerals Recognition by Using HMM
1 Introduction
2 Literature Review
3 Dataset Used
4 Methodology
4.1 Pre-Processing
4.2 Feature Extraction
5 Construction of HMM
5.1 Forward–Backward Algorithms
5.2 Viterbi Algorithm
6 Result and Analysis
7 Conclusion
References
Feature Selection Using Louvain Clustering Algorithm for Rice Disease Prediction
1 Introduction
2 Rice Plant Diseases
3 Preprocessing and Feature Extraction on Rice Disease Images
4 Proposed Method
5 Experimental Results
6 Conclusion
References
Image Caption Generation Using Neural Network Models and LSTM Hierarchical Structure
1 Introduction
2 Related Work or Literature Survey
3 Image Caption Architecture
4 Image Captioning with CNN and RNN Framework
5 Hierarchical Structure of LSTM
5.1 Structure of LSTM for Video Captioning with Adaptive Attention
5.2 Structure of LSTM for Image Captioning with Adaptive Attention
6 Comparative Study Between Image and Video Captioning
7 Outcomes from Paper
8 Conclusion and Future Work
References
A Comparative Study Based on Long Short-Term Memory Networks for Assessing Photovoltaic Power
1 Introduction
2 Theoretical Background of the Models
2.1 Recurrent Neural Network (RNN)
2.2 Long Short-Term Memory (LSTM)
3 Proposed Method
4 Experimental Analysis
5 Result Analysis and Discussions
6 Conclusion
References
Recent Trends in Blockchain Technology
1 Introduction
2 The Concept of Blockchain
2.1 Blockchain Architecture
3 Security Threats and Challenges
3.1 Fork Problems
3.2 Types of Forks
3.3 Scale of Blockchain
3.4 Time Confirmation of Blockchain Data
3.5 Current Regulation Problems
4 Security and Privacy Properties of Blockchain Technology
4.1 Security of Blockchain
4.2 Privacy Issues of Blockchain Technology
5 Blockchain Technology Applications
5.1 Finance Applications
5.2 Health Care Applications
5.3 IoT Applications
5.4 Mobile Applications
5.5 Defense Applications
5.6 Automobile Industry Application
6 Challenges and Opportunities
6.1 Major Challenges in Blockchain Technology
6.2 Opportunities to Overcome Blockchain Technology Challenges
7 Analysis
8 Conclusion
References
Statistical Distribution of GPS Uncertainties Over Low Latitude Regions of India
1 Introduction
2 Literature Study
3 Least Square Estimator
3.1 Steps in Computing Navigation Solution with Least Square Estimator
4 Kalman Filter
5 Correntropy Kalman Filter
5.1 Mathematical Model of Algorithm [9]
6 Simulation Results and Discussion
7 Conclusion
References
An Unsupervised COVID-19 Report Summarizer for Developing Smart Healthcare System
1 Introduction
2 Background Study
3 Proposed Unsupervised Summarization Technique
3.1 Preprocessing of COVID Reports
3.2 Clustering for Summary Generation
3.3 Pearson Correlation-Based Cluster Representative
4 Experimental Results
5 Conclusion
References
Ambiguities in GNSS Receiver Position Estimation: A Comparative Statistical Error Characterization
1 Introduction
2 Literature Study
3 Least Square Estimator
4 Kalman Filter/Extended Kalman Filter
4.1 Steps in Computing Three-Point Navigation Problem Using KF/EKF
5 Cross-Correntropy Kalman Filter
5.1 Steps in Computing Cross-Correntropy Kalman Filter
6 Results and Discussion
7 Conclusion
References
Reconnaissance Attacks: A First Step to Hack IoT Devices and Cyber Crime
1 Introduction
2 Reconnaissance Attack
2.1 Types of Reconnaissance Attack
2.2 Detailed Working
3 Tools to Perform Reconnaissance Attack
3.1 Active Reconnaissance Tools
3.2 Passive Reconnaissance Tools
4 Techniques to Implement Reconnaissance Attack
4.1 Google Hacking Techniques
4.2 Footprinting Through Social Networking Websites
4.3 Website Footprinting
4.4 Email Footprinting
4.5 WHOIS Footprinting
4.6 DNS Footprinting
4.7 Network Footprinting
4.8 Footprinting Through Social Engineering
5 Conclusion
References
A Role of Machine Learning and Deep Learning Techniques for Preoperative Prediction in Shoulder Arthroplasty: Survey
1 Introduction
2 Literature Review
3 Machine Learning and Deep Learning Methods
3.1 Machine Learning
3.2 Deep Learning
3.3 Perception about ML and DL in Shoulder Arthroplasty
3.4 Metrics
4 Conclusion
References
MIRFCS: An Ensemble of Filter Methods for Classification of Disease Data
1 Introduction
2 Related Works
2.1 PID
2.2 DLBCL
2.3 Prostate Cancer
3 Proposed Work
3.1 Phase 1
3.2 Phase 2
4 Result and Analysis
5 Conclusion
References
Redefining Safety in Autonomous Vehicle Through Remote Teleoperation
1 Introduction
2 Literature Review
2.1 Radar Sensors
2.2 Ultrasonic Sensors
2.3 LiDAR
2.4 Cameras
2.5 Remote Control in AVs
3 Framework and Working
4 Conclusion
References
A Novel Approach of Audio-Visual Color Recognition Using KNN
1 Introduction
2 Literature Review
3 Dataset Used
4 Methodology
4.1 Speech Pre-processing
4.2 Feature Extraction
5 Construction of KNN
6 Result and Analysis
7 Conclusion
References
Performance Evaluation of a Progression of Recommender System Models
1 Introduction
1.1 Recommendation System Architecture
1.2 Deep Learning in Recommender Systems
2 Literature Survey of Recommender Systems
2.1 Current Applications
3 Analysis of Content-Based Model
3.1 Description of Model
3.2 Elaboration of Code
4 Analysis of a Collaborative Filtering Model
4.1 Item-Based Collaborative Filtering Model
4.2 User-Based Collaborative Filtering Model
5 Deep Learning Model Assessment
5.1 Description of RBM (Restrictive Boltzmann Machine) Model
5.2 Description of Keras Model
5.3 Description of MLP (Multilayer Perceptron) Model
6 Analysis of Models
7 Conclusion
References
AI Conversational Chatbot for Primary Healthcare Diagnosis Using Natural Language Processing and Deep Learning
1 Introduction
2 Literature Survey—Related Work
3 Methodology
3.1 Dataset
3.2 Proposed Methodology
3.3 Decision Tree Classifier Model Using Binary Datasets
4 Model
4.1 Preprocesssing
4.2 Neural Networks
4.3 Decision Tree Classifier
5 Implementation Details
5.1 Testing Environment
5.2 Graphical User Interface (GUI) for Chatbot
6 Results and Discussion
6.1 Model Performance
6.2 Working of Chatbot and GUI
7 Conclusion and Future Scope
References
Design of a SLAM Map Building System for a Ground-Based Robot Using ROS
1 Introduction
2 System Architecture
2.1 Robot Structure
2.2 Microcontroller
2.3 Connection
2.4 Instruments and Sensors
2.5 Software
3 Robot Mapping with ROS
3.1 ROS
3.2 SLAM
3.3 Mapping and Navigation
4 Experiments and Results
5 Conclusion and Further Work
References
Audio Fingerprinting Using High-Level Feature Extraction
1 Introduction
1.1 Related Work
2 Proposed Methodology
2.1 Mel-Spectrograms
2.2 Mel-Frequency Cepstral Coefficients (MFCCs)
2.3 Advanced Feature Extraction
2.4 Experimental Setup and Collection of Dataset
2.5 Results and Analysis
3 Conclusion
References
Automatic Sign Language Identification Using Convolutional Neural Network
1 Introduction
2 Dataset
3 Proposed Method: Convolutional Neural Network-Based Classification
4 Results and Discussion
4.1 Performance of Handcrafted Features
5 Conclusion
References
Self-balancing Bicycle with Location Tracking Based on the Principle of Inverted Pendulums
1 Introduction
2 Literature Survey
3 System Description and Operation
3.1 Bicycle Design and Layout
4 Mathematical Model
4.1 State Space of the Model
4.2 System Characteristics
5 Software Implementation
5.1 Insight Maker Simulation
5.2 Control System
5.3 Location Tracking System Software
5.4 Simulation of the Cycle Using Python
6 Results
7 Conclusion
References
Feature Mining and Classification of Microarray Data Using Modified ResNet-SVM Architecture
1 Introduction
1.1 Literature Review
1.2 Organization of the Paper
2 Methodology
2.1 Residual Neural Networks
2.2 Support Vector Machine
2.3 Proposed Architecture
3 Experimental Results
3.1 Experimental Setup
3.2 Experimental Data
3.3 Obtained Result
4 Conclusion
References
An Effective Vessel Network Identification Scheme Using Multilevel Attribute Analysis
1 Introduction
2 Methodology
2.1 Grayscale Conversion and Enhancement
2.2 Binarization for Vessel Extraction
2.3 Illumination Correction
2.4 Multilevel Image Analysis
2.5 Algorithms
3 Experimental Results
4 Conclusions and Future Scope
References
Comparative Multinomial Text Classification Analysis of Naïve Bayes and XGBoost with SMOTE on Imbalanced Dataset
1 Introduction
2 Review of Literatures
3 Research Methodology
3.1 The Data Exploration
3.2 Pre-process and Cleaning of Data
3.3 Features Extraction
3.4 Model Building
4 Result and Discussion
5 Conclusion
References
A Complete Crop Guide Using Machine Learning and AI-Based Chat Bot
1 Introduction
2 Literature Review
3 System Description
4 Implementation
4.1 Crop Yield Prediction
4.2 Crop Suggestion
5 Results
5.1 Results for the Crop Yield Predictions
5.2 Results for Predicting Crop
6 Conclusion
References
Investigation of Navigation Solutions for Better Accuracy in Position Estimations
1 Introduction to Global Positioning System
1.1 Motivating Applications
2 Navigation Solution for Static Positioning
2.1 Determination of Objective Function
3 Navigation Solutions for Kinematic Positioning
3.1 Kalman Filter
3.2 Extended Kalman Filter
3.3 Correntropy Kalman Filter (CKF)
4 Sample Results
5 Critical Analysis
6 Conclusion
References
Constructing Context-Aware Sentiment Lexicon for Amharic Language
1 Introduction
2 Literature Review
3 Methods
3.1 Preprocessing
3.2 Amharic Seed Word
3.3 Opinion Word Selection
3.4 Opinion Word Extraction Based on Word2vec
3.5 Context-Aware Lexicon Extraction
4 Experiment and Result
5 Conclusion
References
DSA-Based Secured Communication in 5G Vehicular Networks Using Edge Computing
1 Introduction
2 Proposed Work
3 MEC in Vehicular Networks: A Board Overview
4 Potential Solution
5 Result Analysis
6 Conclusion
References
Enhancing Security and Privacy Preserving of Data in Cloud Using SHA and Genetic Algorithm
1 Introduction
2 Literature Review
3 The Proposed System Architecture
3.1 Encryption
3.2 Embedding
3.3 Hashing
3.4 Retrieving
3.5 Decryption
4 Embedded Least Significant Bits (E-LSB) Steganography Technique
5 Blowfish Encryption with E-LSB Encoding
6 Blowfish Decryption with E-LSB Decoding
7 Experimental Result Analysis
7.1 Attacks Analysis
8 Conclusion
References
A Novel Architecture of Flip-Flop for Processor-In-Near-Memory (PINM) using Ternary Quantum-Dot Cellular Automata (TQCA)
1 Introduction
2 Fundamentals
2.1 QCA Concept
2.2 QCA Clocking
2.3 Advantages of QCA
2.4 Ternary Logic Using Ternary QCA Structures
3 Problem Statement of Earlier Works
4 Components of Novel Flip-Flop Design Multiplexer (2:1)
5 Simulation and Results
6 Conclusion and Future Scope
References
An Automated Coronavirus Disease Detection Approach Using a Deep Neural Network from X-ray Images
1 Introduction
2 Methodology
2.1 Dataset
2.2 Dataset Preprocessing
2.3 Model Architecture
3 Results and Discussions
4 Conclusion
References
A Review on Lane Marking Detection Using Deep Neural Network
1 Introduction
2 Review on LMD Techniques
3 Dataset on LMD
4 Pre-processing
5 Deep Learning Methodology on LMD
5.1 Convolution Neural Network (CNN)
5.2 Spiking Neural Network (SNN)
5.3 Combination of CNN and Recurrent Neural Network (RNN)
5.4 Combination of CNN and Fully Convolutional Network (FCN)
5.5 E-Net
5.6 Embedding Loss Driven Generative Adversarial Network (EL-GAN)
5.7 Summary of the Networks
6 Post-processing
7 Experimental Result and Discussion on LMD
8 Conclusion and Future Direction
References
New Hybrid Approach for Exemplar-Based Image Inpainting
1 Introduction
2 Related Works
3 Methodology
3.1 Region Filling Algorithm
3.2 Algorithm
4 Results
5 Conclusion
References
Automatic Speech Summarization Without Linguistic Knowledge Based on Frame Selection Through Acoustic Features
1 Introduction
1.1 Related Work
1.2 Contribution
2 Proposed Methodology
2.1 Feature Selection
2.2 Segmentation
2.3 Important Frame Selection
3 Result Analysis
4 Comparative Analysis
5 Conclusion
References
Image-Based Concrete Crack Detection Using Random Forest and Convolution Neural Network
1 Introduction
2 Experimental Study
2.1 Data Collection
3 Proposed Method
3.1 Convoution Neural Network
3.2 Training and Parallelising Random Forest
4 Results and Discussion
5 Conclusion and Future Work
References
Quantitative Autofluorescence Imaging Reveals the Potential for Cervical Cancer Detection
1 Introduction
2 Data Description
2.1 Collection of Data
2.2 Image Acquisition and Database Creation
3 Extraction of Spectral Texture Feature
3.1 Radial Function and Angular Function
3.2 Annular Ring Subsections
3.3 Radial Wedge Subsections
4 Classification
5 Performance Assessment for Classification
6 Experimental Results
7 Conclusion
References
Py_FS: A Python Package for Feature Selection Using Meta-Heuristic Optimization Algorithms
1 Introduction
2 Related Work
3 Package Overview
4 Results and Analysis of Experiments
4.1 Description of Datasets
4.2 Parameter Combination
4.3 Analysis
5 Conclusion and Future Work
References
Bangla Topic Classification Using Supervised Learning
1 Introduction
2 Related Works
3 Methodology
3.1 Data Sources
3.2 Data Preprocessing
3.3 Feature Extraction
3.4 Dimensionality Reduction
4 Encoding Algorithms
4.1 Word2Vec
4.2 GloVe
4.3 Tf-IDF Vectorizer
4.4 Countvectorizer
4.5 Fasttext
5 Analyzing Algorithms
6 Experiment
6.1 Prediction and Performance Analysis
7 Conclusion and Future Work
References
A Novel Congestion Control Algorithm Using Buffer Occupancy RED
1 Introduction
2 Motivation and Objectives
3 Proposed Scheme
3.1 Model: CCA-BO-RED
3.2 Algorithm: CCA-BO-RED
4 Simulation Results and Comparison
5 Conclusion
References
Vitiligo Prediction Using Autoencoder
1 Introduction
2 Literature Survey
3 Proposed Methodology
4 Methodology
5 Result and Discussions
6 Conclusion and Future Work
References
Recent Advances on Mammogram Imaging for Breast Cancer Analysis: A Technological Review
1 Introduction
2 Related Work
3 Dataset Description
4 Data Preprocessing
4.1 Machine Learning
4.2 Deep Learning
4.3 Transfer Learning
4.4 Extreme Learning
5 Conclusion
References
Novel Approach for Steganography to Camouflage Digital Information Using Least Significant Bit
1 Introduction
2 Proposed Methodology
2.1 Steps
3 Results and Discussion
4 Conclusion
References
Impulse Noise Removal Algorithm Using Modified Adaptive Distance-Related Weighted Mean Filter
1 Introduction
2 Related Work
3 Proposed Method
4 Experimental Results
5 Conclusion
References
Crop Management Using Machine Learning
1 Introduction
2 Related Work
3 Methodology
3.1 Disease Detection
4 Results and Discussion
5 Conclusion
References
Extraction of Texture Features for Content-Based Image Retrieval in the Cloud Environment
1 Introduction
2 Proposed CBIR Method
2.1 Extracting Texture Features
2.2 Encryption and Decryption
2.3 Hash Indexing
2.4 Retrieval of Images
2.5 Spearman Rank Coefficient
3 Experimental Result Analysis
3.1 Precision ( P )
3.2 Time Taken for Extracting Features ( Ft )
3.3 Time of Image Retrieval ( Rt )
4 Result of the Work
5 Conclusion
References
Recognition of Isolated Handwritten Gurumukhi Numerals Using Hopfield Neural Network
1 Introduction
2 Recent Works on Gurumukhi Numerals
3 Simulation and Results Analysis
3.1 Recognition Accuracy of Proposed Model
4 Conclusion
References
A Deep Convolutional Neural Network-Based Approach for Handwritten Recognition System
1 Introduction
2 Related Work Done Previously
3 Materials Used for the Proposed Recognition System
4 Deep Neural Network
5 Result Analysis
6 Conclusion and Future Work
References
A Game Theoretic Approach on Semantic Segmentation Along with Transfer Learning
1 Introduction
2 Related Work
2.1 Semantic Segmentation Using Transfer Learning
3 Proposed Work
3.1 Non-cooperative Game
3.2 Cooperative Game
4 Methodology
4.1 Cooperative Game Theory in Pixel Classification
5 Expected Result and Analysis
5.1 Evaluation Metric
5.2 Result Analysis
6 Conclusion
References
Representation-Learning-Based Fusion Model for Scene Classification Using Convolutional Neural Network (CNN) and Pre-trained CNNs as Feature Extractors
1 Introduction
2 Literature Review
3 Proposed Approach
3.1 Model 1—Basic Convolutional Neural Network (CNN)
3.2 Model 2, 3, 4—VGG 19, ResNet50, MobileNetV2 as Feature Extractors
3.3 Classifiers—SVM, Random Forest, and a Fully Connected Neural Network
3.4 Feature Generalization and Fusion
4 Dataset
4.1 Oliva and Torralba-Scene Dataset
4.2 Class Balancing
5 Experiment
5.1 Model Performance Evaluation
6 Results and Discussion
7 Conclusion and Future Work
References
College Student Lifestyle Query Classification Using Multi-Model Ensemble Learning with Polling Technique
1 Introduction
2 Review of Literature
3 Research Methodology
3.1 Dataset Description
3.2 Proposed Multi-model
4 Results and Discussion
5 Conclusion
References
A Study of Public Sentiment and Influence of Politics in COVID-19 Related Tweets
1 Introduction
2 Collecting and Preparing Twitter Data
2.1 Tweet Collection
2.2 Pre-processing the Tweets
2.3 Preparing the Datasets
3 Insights
3.1 Word Frequency Analysis
3.2 TF-IDF Analysis
3.3 Sentiment Analysis
3.4 Topic Modelling Using LDA Model
3.5 Unsupervised Tweet Classification
4 Conclusion
References
Multiple Data Integration Using Joint Non-negative Matrix Factorization
1 Introduction
2 Proposed Methodology
2.1 Preparation of Genomic Modules
2.2 Extraction of Genomic Module
2.3 Integration of Genomic Modules Using jNMF Algorithm
3 Experimental Results
3.1 Meta-Modular Structure Formation
3.2 Comparison of jNMF Data
4 Discussions
5 Conclusion
References
Gold Price Forecasting Using Machine Learning Techniques: Review of a Decade
1 Introduction
2 Literature Survey
2.1 Support Vector Machine (SVM)
2.2 Linear Regression (LR)
2.3 Support Vector Regression (SVR)
2.4 Random Forest (RF)
2.5 K-Nearest Neighbor
2.6 Others
3 Critical Analysis
3.1 Performance Analysis of Different Machine Learning Techniques
3.2 Popular ML Methods
3.3 Analysis on Publications of Articles Related to Gold Price Prediction and Forecasting
4 Discussion
5 Conclusion
References
Voice-Based Detection of Speaker Gender Through Co-Occurrence Matrix-Based Features
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Feature Computation
3.2 Classification
4 Experimental Results
4.1 Comparative Analysis
5 Conclusion
References
Fan Beam Transform and LU Decomposition based Blind Watermarking Technique for Color Images
1 Introduction
2 Background
2.1 Fan-Beam Transform (FBT)
2.2 LU Decomposition
2.3 Arnold Transform
3 Proposed Scheme
3.1 Watermark Insertion
3.2 Watermark Retrieval
4 Performance Analysis
5 Conclusion
References
Impact of Environmental Concern Factors on Lung Diseases Using Machine Learning
1 Introduction
2 Decision-Making in Health Sector
3 Research Methodology
3.1 Dataset
4 Experiments and Results
4.1 Risk Factor Analysis
4.2 Nutrition Score Analysis
5 Conclusion and Future Scope
References
Deep DenseNet and ResNet Approach for COVID-19 Prognosis: Experiments on Real CT Images
1 Introduction
2 Literature Review
3 Methodology
3.1 Architecture of ResNet50 V2
3.2 Architecture of DenseNet201
4 Experimental Setup and Material
4.1 Dataset Description
4.2 Techniques of Data Preprocessing
5 Analysis of Experimental Results
5.1 Statistical Analysis of the Proposed Approaches Using Evaluation Metrics
5.2 Confusion Matrix of the Proposed Approaches
5.3 Performance Evaluation of the Proposed DenseNet201 and ResNet50 V2 Models
6 Conclusion
References
Location Analysis Using Ensemble Approach for Warehouses: A Study During COVID-19
1 Introduction
1.1 Related Works
2 Our Proposed Methodology
2.1 Problem Statement
2.2 Dataset Description
2.3 Stages of Data Analysis
3 Conclusion
References
Author Index