Bangabandhu and Digital Bangladesh: First International Conference, ICBBDB 2021, Dhaka, Bangladesh, December 30, 2021, Revised Selected Papers (Communications in Computer and Information Science)

Preface
Organization
Contents
Dengue Outbreak Prediction from Weather Aware Data
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Data Collection
	5 Feature Engineering
		5.1 Class Level Discretization for Affected Patients
	6 Results and Discussion
	7 Conclusion
	References
A Dynamic Approach to Identify the Most Significant Biomarkers for Heart Disease Risk Prediction Utilizing Machine Learning Techniques
	1 Introduction
	2 Related Works
		2.1 Justification
	3 Proposed Work
		3.1 Dataset
		3.2 Experimental Design
	4 Outcome
	5 Conclusions
	References
A Feasible Approach to Predict Survival Rates Post Lung Surgery Utilizing Machine Learning Techniques
	1 Introduction
	2 Related Works
		2.1 Justification
	3 Proposed Work
		3.1 Data Sources
		3.2 Feature Selection
		3.3 Decision Tree
		3.4 Classifiers
		3.5 Experimental Design
	4 Outcome
	5 Conclusions
	References
Cardiac Abnormality Prediction Using Multiple Machine Learning Approaches
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Dataset
		3.2 Dataset Preprocessing
		3.3 Modelling
		3.4 Visualize Data Prediction
	4 Result Analysis
		4.1 Accuracy of Models
		4.2 Analysis
	5 Conclusion and Future Work
		5.1 Conclusion
		5.2 Future Works
	References
COVID-19 Detection from Lung CT Scan Using Transfer Learning Models
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Dataset Collection
		3.2 Data Pre-processing
		3.3 Xception Model
		3.4 MobileNetV2 Model
		3.5 InceptionV3 Model
		3.6 DenseNet201 Model
		3.7 InceptionResNetV2 Model
		3.8 Hyperparameters for All the CNN Based Transfer Learning Models
	4 Results Analysis
		4.1 Performance Examination Using the Confusion Matrix
		4.2 Xception Model Results Analysis
		4.3 MobileNetV2 Model Results Analysis
		4.4 InceptionV3 Model Results Analysis
		4.5 DenseNet201 Model Results Analysis
		4.6 InceptionResNetV2 Model Results Analysis
		4.7 Performance Analysis of Transfer Learning Models
		4.8 Outperforming Existing Models
	5 Conclusion
	References
Statistical Analysis and Clustering of Dengue Incidents and Weather Data of Bangladesh Using K-Means Clustering
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Data Description
		3.2 Merging and Preprocessing
		3.3 Exploratory Data Analysis (EDA)
		3.4 Standardization
	4 Result and Discussion
		4.1 Elbow Method
	5 Conclusion
	References
AI Reception: An Intelligent Bengali Receptionist System Integrating with Face, Speech, and Interaction Recognition
	1 Introduction
	2 Related Works
	3 Material and Methods
		3.1 Face Recognition
		3.2 Interaction Recognition System
	4 Result Analysis
	5 Conclusion
	References
A Real-Time Junk Food Recognition System Based on Machine Learning
	1 Introduction
	2 Literature Review
	3 Method
		3.1 About Model (YOLOV3)
		3.2 Dataset Collection
		3.3 Data Augmentation
		3.4 Data Preparation
		3.5 Model Tuning
		3.6 Internal Architecture
		3.7 Model Training
	4 Model Evaluation
		4.1 Training and Testing
		4.2 Model Performance
		4.3 Result Comparison with Previous Research
	5 Conclusion
	References
Inference of Gene Regulatory Network (GRN) from Gene Expression Data Using K-Means Clustering and Entropy Based Selection of Interactions
	1 Introduction
		1.1 Gene Regulatory Network
		1.2 Clustering of Gene Expression Data
		1.3 Entropy Reduction (ER)
		1.4 Contribution
	2 Related Work
		2.1 ARACNE
		2.2 Entropy Reduction Technique
	3 Clustering of Gene Expression Data
		3.1 K-Means Clustering
	4 Method
		4.1 The Clustering Part
		4.2 Entropy Reduction Part for One Cluster ch9refspsarticle2
	5 Results
		5.1 Results for DREAM5-Network Inference Challenge Dataset ch9refspsarticle5
	6 Discussion
	7 Conclusion and Future Work
	References
From Competition to Collaboration: Ensembling Similarity-Based Heuristics for Supervised Link Prediction in Biological Graphs
	1 Introduction
		1.1 Similarity-Based Link Prediction
	2 Methodology
		2.1 Feature Extraction
		2.2 Feature Scaling
		2.3 Classifier Training and Link Prediction
	3 Experiments
		3.1 The Baselines
		3.2 Experimental Datasets
		3.3 Evaluation Metrics
		3.4 Results and Discussion
	4 Conclusion
	References
Mental Disability Detection of Children Using Handwriting Analysis
	1 Introduction
	2 Related Works
	3 Proposed Model
		3.1 Device and Data Collection
		3.2 Data Analysis
		3.3 Dominant Parameter Selection
		3.4 Feature Extraction from Selected Paraments
		3.5 Classification Models
	4 Experiments and Results
		4.1 Dataset
		4.2 Experimental Results
	5 Conclusion
	References
Electrocardiogram Signal Analysis Based on Statistical Approaches Using K-Nearest Neighbor
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Dataset
		3.2 Analyzing Steps
		3.3 Statistical Approaches
		3.4 KNN-Model
	4 Experimental Result and Analysis
		4.1 Classification
	5 Conclusion
	References
Telekit: An IoT Based Wearable Health Assistant with Machine Learning Approach
	1 Introduction
	2 Literature Survey
		2.1 Wearable Sensors in Healthcare
		2.2 IoT Network Platform
		2.3 Prospect of Android Apps in Healthcare
		2.4 Machine Learning as a Tool for Disease Prediction
	3 Proposed System Architecture
		3.1 Sensing System
		3.2 Hardware Implementation
		3.3 Android App
		3.4 Interfacing and Communication
	4 Machine Learning Approach
		4.1 Data Description
		4.2 Data Preprocessing
		4.3 Data Splitting
		4.4 Model Training and Testing
	5 Result Analysis
		5.1 Data Accuracy
		5.2 Scatter Plot and Correlation Matrix
		5.3 Illness Prediction
	6 Conclusion and Future Scope
	References
An Empirical Feature Selection Approach for Phishing Websites Prediction with Machine Learning
	1 Introduction
	2 Related Studies
	3 Proposed Research Methodology
	4 Implementation, Results Analysis and Discussion
		4.1 Implementation
		4.2 Experimental Results Analysis and Discussions
	5 Conclusion and Future Works
	References
New Model to Store and Manage Private Healthcare Records Securely Using Block Chain Technologies
	1 Introduction
	2 Literature Review
	3 Blockchain Technology and Its Functionality
		3.1 Types of Blockchain
		3.2 Functionality of Block Chain
	4 Design and Architecture of The Proposed Framework
		4.1 Architecture Flow
	5 Performance Analysis
	6 Conclusion
	References
Secure and Transparent Supply Chain Management to Prevent Counterfeit Drugs
	1 Introduction
		1.1 Existing Drug Supply Chain
		1.2 Problems of Existing System
		1.3 Blockchain as a Building Tool
		1.4 Our Contribution
	2 Related Work
	3 Methodology
	4 System Architecture
		4.1 Generic Design
		4.2 Activity Diagrams
		4.3 Process Description
	5 Implementation and Analysis
		5.1 Implementation
		5.2 Security Analysis
		5.3 Performance Analysis
	6 Conclusion
	References
Author Index