ITNG 2023 20th International Conference on Information Technology-New Generations

Chapter 1. Loop Closure Detection in Visual SLAM Based on Convolutional Neural Network. Chapter 2.- Getting Local and Personal: Toward Building a Predictive Model for COVID in Three United States Cities. Chapter 3.- Improved Significant Wave Height Prediction by an LSTM and EEMD Method. Chapter 4.- A Deep Learning Approach for Sentiment and Emotional Analysis of Lebanese Arabizi Twitter Data. Chapter 5.- A two-step approach to boost neural network generalizability in predicting defective software. Chapter 6.- A Principal Component Analysis-based Scoring Mechanism to Quantify Crime Hot Spots in a City. Chapter 7.- Tuning neural networks for superior accuracy on resource-constrained edge microcontrollers. Chapter 8.- BigQuery Intersection Congestion Prediction. Chapter 9.- A Detection Method for Stained Asbestos Based on Dyadic Wavelet Packet Transform and a Locally Adaptive Method of Edge Extraction. Chapter 10.- Machine Learning – Fake Product Prediction System. Chapter 11.- Ontology of Vulnerabilities and Attacks on VLAN Verifying X.509 Certificate Extensions. Chapter 12.- Detecting Malicious Browser Extensions by Combining Machine Learning and Feature Selection. Chapter 13.- A Lightweight Mutual Authentication and Key Generation Scheme in IoV Ecosystem. Chapter 14.- To reject or not reject - that is the question, the case of BIKE post quantum KEM. Chapter 15.- IoT forensics: Machine to Machine Embedded with SIM Card. Chapter 16.- Streaming Platforms Based on Blockchain Technology: A Business Model Impact Analysis. Chapter 17.- Digital Forensic Investigation Framework for Dashcam. Chapter 18.- Conflicts between UX designers, front-end and back-end software developers: good or bad for productivity?. Chapter 19.- Generalized EEG Data Acquisition and Processing System. Chapter 20.- Supporting Technical Adaptation and Implementation of Digital Twins in Manufacturing. Chapter 21.- Towards Specifying and Evaluating the Trustworthiness of an AI-enabled System. Chapter22.- Description and Consistency Checking of Distributed Algorithms in UML Models using Composite Structure and State Machine Diagrams. Chapter 23.- Simulation and comparison of different scenarios of a Workflow net using Process Mining. Chapter 24.- Making Sense of Failure Logs in an Industrial DevOps Environment. Chapter 25.- Analysis of News Article various countries on a specific event using Semantic Network Analysis. Chapter 26.- AN APPROACH TO ASSIST OPHTHALMOLOGISTS IN GLAUCOMA DETECTION USING DEEP LEARNING. Chapter 27.- Multtestlib: An Approach to Unit Testing Using Parallel Processing in Python. Chapter 28.- DEFD : Adapted decision tree ensemble for financial fraud detection. Chapter 29.- Prediction of Bike Sharing Activities using Machine Learning and Data Analytics. Chapter 30.- ICT: Attendance & Contact Tracing During a Pandemic. Chapter 31.- Towards Cloud Teaching and Learning: A COVID 19 era in South Africa. Chapter 32.- Learning Object as a Mediator in the User/Learner'sZone of Proximal Development. Chapter 33.- Quality Assessment of Open Educational Resources based on Data Provenance. Chapter 34.- Quality Assessment of Open Educational Resources: a systematic review. Chapter 35.- Chapter 36.- Predicting COVID-19 Occurrences from MDL-based Segmented Comorbidities and Logistic Regression. Chapter 37.- Internet of Things Applications for Cold Chain Vaccine Tracking: A Systematic Literature Review. Chapter 38.- GDPR and FAIR compliant decision support system design for triage and disease detection. Chapter 39.- Truckfier - A multiclass vehicle detection and counting tool for real-world highway scenarios. Chapter 40.- Explaining Multimodal Image Retrieval Using A Vision and Language Task Model. Chapter 41.- A Process to Support Heuristic Evaluation and Tree Testing from a UX Integrated Perspective. Chapter 42.- Description and Verification of Systolic Array Parallel Computation Model in Synchronous Circuit using LOTOS. Chapter 43.- A Virtual Reality Mining Training Simulator for Proximity Detection. Chapter 44.- A Performance Analysis of Different MongoDB Consistency Levels. Chapter 45.- Information extraction and ontology population using car insurance reports. Chapter 46.- Description of Restricted Object Reservation System using Specification and Description Language VDM++. Chapter 47.- A Demographic Model to Predict Arrests by Race: An Exploratory Approach. Chapter 48.- An Efficient Approach to Wireless Firmware Update Based on Erasure Correction Coding. Chapter 49.- Complex Network Analysis of the US Marine Highway Network. Chapter 50.- Directed Acyclic Network and Turn Constraint Paths.