This volume represents the 20th International Conference on Information Technology - New Generations (ITNG), 2023. ITNG is an annual event focusing on state of the art technologies pertaining to digital information and communications. The applications of advanced information technology to such domains as astronomy, biology, education, geosciences, security, and health care are the among topics of relevance to ITNG. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help the information readily flow to the user are of special interest. Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing are examples of related topics. The conference features keynote speakers, a best student award, poster award, service award, a technical open panel, and workshops/exhibits from industry, government and academia. This publication is unique as it captures modern trends in IT with a balance of theoretical and experimental work. Most other work focus either on theoretical or experimental, but not both. Accordingly, we do not know of any competitive literature.
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.
Shahram Latifi, an IEEE Fellow, received the Master of Science and the PhD degrees both in Electrical and Computer Engineering from Louisiana State University, Baton Rouge, in 1986 and 1989, respectively. He is currently a Professor of Electrical Engineering at UNLV. He has designed and taught courses and authored over 250 technical articles in the areas of networking, cybersecurity, image processing, biometrics, fault tolerant computing, parallel processing, and data compression. His research has been funded by NSF, NASA, DOE, DoD, Boeing, Lockheed and Cray Inc. Dr. Latifi was an Associate Editor of the IEEE Transactions on Computers (1999-2006), an IEEE Distinguished Speaker (1997-2000), and Co-founder and General Chair of the IEEE Int'l Conf. on Information Technology (2004-2021). Dr. Latifi is the recipient of several research awards, the most recent being the Silver State Research Award. He is also a Registered Professional Engineer in the State of Nevada.
