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ITNG 2023 20th International Conference on Information Technology-New Generations
Title
ITNG 2023 20th International Conference on Information Technology-New Generations [electronic resource] / edited by Shahram Latifi.
ISBN
9783031283321
Edition
1st ed. 2023.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2023.
Physical Description
1 online resource (XIII, 457 p.) 1 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This volume represents the 18th International Conference on Information Technology - New Generations (ITNG), 2021. 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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
May 09, 2023
Series
Advances in Intelligent Systems and Computing, 1445
Contents
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. Chapter 22
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's Zone 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.
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