Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023)
Volume 1
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Chapter and Conference Paper
New Perspectives in e-Learning: EEG-Based Modelling of Human Cognition Individual Differences
Learning is the process of acquiring knowledge, skills and values, through lifelong education. Learning abilities are affected by the subject’s cognitive skills showing how they think, process information, pay...
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Chapter and Conference Paper
Efficient Energy Disaggregation Using DBSCAN: A Novel Approach for Enhanced Energy Management
In the rapidly evolving technology landscape, smart homes are becoming increasingly common, driven by the demand for integrated management of information and services. However, despite advancements, managing e...
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Chapter and Conference Paper
Graph Neural Networks in PyTorch for Link Prediction in Industry 4.0 Process Graphs
Process mining constitutes an integral part of enterprise infrastructure as its adaptability and evolution potential enhance the digital awareness of stakeholders. In the context of Industry 4.0 a mainstay of ...
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Chapter and Conference Paper
Personalized Feedback Enhanced by Natural Language Processing in Intelligent Tutoring Systems
This paper proposes a novel approach for enhancing feedback in intelligent tutoring systems (ITSs) for Java programming using natural language processing (NLP). The proposed approach overcomes the limitations ...
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Chapter and Conference Paper
Mental Confusion Prediction in E-Learning Contexts with EEG and Machine Learning
In cognitive science, the term confusion is used to capture the decline in learners’ cognitive ability, which affects their ability to think, solve a problem, learn and understand. Unlike classroom education, ...
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Chapter and Conference Paper
Ensemble Machine Learning Models for Breast Cancer Identification
The advances in the Machine Learning (ML) domain, from pattern recognition to computational statistical learning, have increased its utility for breast cancer as well by contributing to the screening strategy ...
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Chapter and Conference Paper
An Optimized Cloud Computing Method for Extracting Molecular Descriptors
Extracting molecular descriptors from chemical compounds is an essential preprocessing phase for develo** accurate classification models. Supervised machine learning algorithms offer the capability to detect...
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Chapter and Conference Paper
Classification of Alzheimer’s Disease Subjects from MRI Using Deep Convolutional Neural Networks
The classification of Alzheimer’s disease (AD) using deep learning techniques has shown promising results. However, achieving successful application in medical settings requires a combination of high precision...
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Chapter and Conference Paper
Using Web Technologies to Implement a Modular Integrated System for Augmented Tourism Destinations
Identifying and promoting attractions and points of interest to visitors, especially through multimedia and – lately - AR/VR technologies, has been shown to enhance the pre-traveling and on-site overall experi...
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Book and Conference Proceedings
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Book and Conference Proceedings
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Book and Conference Proceedings
Augmented Intelligence and Intelligent Tutoring Systems
19th International Conference, ITS 2023, Corfu, Greece, June 2–5, 2023, Proceedings
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Article
Self organizing maps for cultural content delivery
Tailored analytics play a key role in the successful delivery of cultural content to huge and diverse groups. Primarily the latter depends on a number of information retrieval factors determining user experien...
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Chapter and Conference Paper
SAF: A Peer to Peer IoT LoRa System for Smart Supply Chain in Agriculture
In the dairy industry farming as well as transportation conditions are paramount to product quality and to the overall supply chain resiliency. However, modern farms are complex installations with a broad spec...
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Chapter and Conference Paper
Human Activity Recognition Under Partial Occlusion
One of the major challenges in Human Activity Recognition (HAR) using cameras, is occlusion of one or more body parts. However, this problem is often underestimated in contemporary research works, wherein tra...
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Chapter and Conference Paper
Simulating Blockchain Consensus Protocols in Julia: Proof of Work vs Proof of Stake
Consensus protocols constitute an important part in virtually any blockchain stack as they safeguard transaction validity and uniqueness. This task is achieved in a distributed manner by delegating it to certa...
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Article
Transform-based graph topology similarity metrics
Graph signal processing has recently emerged as a field with applications across a broad spectrum of fields including brain connectivity networks, logistics and supply chains, social media, computational aesth...
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Article
Discovering sentiment potential in Twitter conversations with Hilbert–Huang spectrum
Does a tweet with specific emotional content posted by an influential account have the capability to shape or even completely alter the opinions of its readers? Moreover, can other influential accounts further...
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Chapter and Conference Paper
Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks
In social network analysis, it is crucial to discover a community through the retrospective decomposition of a large social graph into easily interpretable subgraphs. Four major community discovery algorithms,...
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Chapter and Conference Paper
Improving the Run-Time of Space-Efficient n-Gram Data Structures Using Apache Spark
Storing information in memory efficiently is one of the most significant challenges in computer science. The two main factors that consist an efficient data structure is the reduction of space and time consump...
