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Proceedings of International Conference on Information and Communication Technology for Development

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Cover of 'Proceedings of International Conference on Information and Communication Technology for Development'

Table of Contents

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    Book Overview
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    Chapter 1 Notes on Image Watermarking and Steganography
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    Chapter 2 Vehicle Detection Using Deep Learning Method and Adaptive and Dynamic Automated Traffic System via IoT Using Surveillance Camera
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    Chapter 3 Predicting Average Localization Error of Underwater Wireless Sensors via Decision Tree Regression and Gradient Boosted Regression
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    Chapter 4 Machine Learning Approaches for Classification and Diameter Prediction of Asteroids
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    Chapter 5 Detection of the Most Essential Characteristics from Blood Routine Tests to Increase COVID-19 Diagnostic Capacity by Using Machine Learning Algorithms
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    Chapter 6 Usability Evaluation of Adaptive Learning System Rhapsode TM Learner
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    Chapter 7 A Machine Learning and Deep Learning Approach to Classify Mental Illness with the Collaboration of Natural Language Processing
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    Chapter 8 Data Governance and Digital Transformation in Saudi Arabia
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    Chapter 9 A Waveguide-Fed Hybrid Graphene Plasmonic Nanoantenna for On-Chip Wireless Optical Communication
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    Chapter 10 Effectiveness of Transformer Models on IoT Security Detection in StackOverflow Discussions
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    Chapter 11 Digital Health Inclusion to Achieve Universal Health Coverage in the Era of 4th Industrial Revolution
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    Chapter 12 Design of 8 × 8 Microstrip Array Antenna for ISM and K-Band Applications
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    Chapter 13 Spatial-Spectral Kernel Convolutional Neural Network-Based Subspace Detection for the Task of Hyperspectral Image Classification
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    Chapter 14 Sentiment Analysis and Emotion Detection from Khasi Text Data—A Survey
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    Chapter 15 Classification of Brain Hemorrhage Using Deep Learning from CT Scan Images
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    Chapter 16 An Automated Remote Health Monitoring System in IoT Facilities
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    Chapter 17 Surface Reflectance: A Metric for Untextured Surgical Scene Segmentation
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    Chapter 18 Classification and Segmentation on Multi-regional Brain Tumors Using Volumetric Images of MRI with Customized 3D U-Net Framework
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    Chapter 19 Explainable AI and Ensemble Learning for Water Quality Prediction
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    Chapter 20 Diagnosis of Autism Spectrum Disorder Through Eye Movement Tracking Using Deep Learning
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    Chapter 21 Real-Time Lightweight Bangla Sign Language Recognition Model Using Pre-trained MobileNetV2 and Conditional DCGAN
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    Chapter 22 A Novel Method of Thresholding for Brain Tumor Segmentation and Detection
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    Chapter 23 Developing Wearable Human–Computer Interfacing System Based on EMG and Gyro for Amputees
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    Chapter 24 Implementation of Twisted Edwards Curve-Based Unified Group Operation for ECC Processor
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    Chapter 25 IoT-Based Smart Office and Parking System with the Implementation of LoRa
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    Chapter 26 Bandwidth Borrowing Technique for Improving QoS of Cluster-Based PON System
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    Chapter 27 Ensemble of Boosting Algorithms for Parkinson Disease Diagnosis
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    Chapter 28 GLCM and HOG Feature-Based Skin Disease Detection Using Artificial Neural Network
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    Chapter 29 Subject Dependent Cognitive Load Level Classification from fNIRS Signal Using Support Vector Machine
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    Chapter 30 Smoke Recognition in Smart Environment Through IoT Air Quality Sensor Data and Multivariate Logistic Regression
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    Chapter 31 Learning from Learned Network: An Introspective Model for Arthroscopic Scene Segmentation
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    Chapter 32 A Multigene Genetic Programming Approach for Soil Classification and Crop Recommendation
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    Chapter 33 Soft Error Tolerant Memristor-Based Memory
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    Chapter 34 Efficient Malaria Cell Image Classification Using Deep Convolutional Neural Network
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    Chapter 35 Detection of Acute Myeloid Leukemia from Peripheral Blood Smear Images Using Transfer Learning in Modified CNN Architectures
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    Chapter 36 Automatic Bone Mineral Density Estimation from Digital X-ray Images
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    Chapter 37 Machine Learning Algorithms for the Prediction of Prostate Cancer
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    Chapter 38 Detection of Ventricular Fibrillation from ECG Signal Using Hybrid Scalogram-Based Convolutional Neural Network
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    Chapter 39 Lung Cancer Detection Using Ensemble Technique of CNN
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    Chapter 40 Identification of the Similarity of Bangla Words Using Different Word Embedding Techniques
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    Chapter 41 Energy Consumption Optimization of Zigbee Communication: An Experimental Approach with XBee S2C Module
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    Chapter 42 PredXGBR: A Machine Learning Based Short-Term Electrical Load Forecasting Architecture
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    Chapter 43 Sn Doped Ge x Si 1 − x O y Films for Uncooled Infrared Detections
Attention for Chapter 5: Detection of the Most Essential Characteristics from Blood Routine Tests to Increase COVID-19 Diagnostic Capacity by Using Machine Learning Algorithms
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Chapter title
Detection of the Most Essential Characteristics from Blood Routine Tests to Increase COVID-19 Diagnostic Capacity by Using Machine Learning Algorithms
Chapter number 5
Book title
Proceedings of International Conference on Information and Communication Technology for Development
Published by
Springer, Singapore, January 2023
DOI 10.1007/978-981-19-7528-8_5
Book ISBNs
978-9-81-197527-1, 978-9-81-197528-8
Authors

Rahman, Faria, Ahmad, Mohiuddin

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