Browsing by Subject "Learning systems"
Now showing items 1-20 of 96
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Acceptance of Distance Learning during the COVID-19 Movement Restrictions: Does the Year of Studies Matter?
(2021)This study presents the attitudes and perceptions of a sample of undergraduate students on remote teaching after face-to-face teaching was discontinued due to COVID-19 measures. The students expressed a preference for ... -
Adaptive educational hypermedia systems based on learning styles: The case of adaptation rules
(2017)This paper investigates the pedagogical basis of Adaptive Educational Hypermedia Systems (AEHS) that incorporate Learning Styles in order to accommodate user's learning style preferences and needs. Therefore, AES adapt the ... -
Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective
(2019)Osteoarthritis is the most common form of arthritis in the knee that comes with a variation in symptoms’ intensity, frequency and pattern. Knee OA (KOA) is often diagnosed using invasive and expensive methods that can ... -
Applying constructivism for interactive educational software: A research based design, implementation and evaluation method
(2004)We have designed, developed and evaluated the educational software entitled "Interaction between objects" within the framework of social constructivism on the basis of the data issued from a preceded research with teachers ... -
Approximate kNN Classification for Biomedical Data
(2020)We are in the era where the Big Data analytics has changed the way of interpreting the various biomedical phenomena, and as the generated data increase, the need for new machine learning methods to handle this evolution ... -
Assessing the Learning Process Playing with Kahoot – A Study with Upper Secondary School Pupils Learning Electrical Circuits
(2018)The present study investigates the extent to which the popular game-based online platform of Kahoot can be used as a creative and effective tool in the teaching practice and specifically in the teaching of basic concepts ... -
Capture, modeling, and recognition of expert technical gestures in wheel-throwing art of pottery
(2014)This research has been conducted in the context of the ArtiMuse project that aims at the modeling and renewal of rare gestural knowledge and skills involved in the traditional craftsmanship and more precisely in the art ... -
A case study of the European SME audio-video information base solution
(2007)The European SME audio-video information base solution, to be completed in the fall of 2007, offers the educational society model recommendations for pedagogical use, adaptation and effective integration of state of the ... -
Change detection and convolution neural networks for fall recognition
(2020)Accurate fall detection is a crucial research challenge since the time delay from fall to first aid is a key factor that determines the consequences of a fall. Wearable sensors allow a reliable way for motion tracking, ... -
Circular bio-economy via energy transition supported by Fuzzy Cognitive Map modeling towards sustainable low-carbon environment
(2020)Several energy transition plans attempt to establish low-carbon practices towards a circular bio-economy in order to reduce greenhouse gas emissions. However, most actions only try to assuage the impacts of climate change ... -
Classifying mammography images by using fuzzy cognitive maps and a new segmentation algorithm
(2018)Mammography is one of the best techniques for the early detection of breast cancer. In this chapter, a method based on fuzzy cognitive map (FCM) and its evolutionary-based learning capabilities is presented for classifying ... -
“Classrooms without borders” – Instructive scenarios based on mobile learning to support differentiated learning in vocational school settings
(2017)The present work focuses on a survey conducted with 157 Vocational school students and six teachers, all randomly selected. Interviews were conducted with the teachers the aim of which was to detect why teachers suggest ... -
A comparative assessment of machine learning algorithms for events detection
(2019)Nowadays, one can observe massive amount of data production by numerous devices interacting with their environment and end users. [1] Such data can be the subject of advanced processing usually through machine learning ... -
Computationally efficient hierarchical Bayesian modeling framework for learning embedded model uncertainties
(2020)A hierarchical Bayesian modeling (HBM) framework has recently been developed for estimating the uncertainties in the parameters of physics-based models of systems, as well as propagating these uncertainties to estimate the ... -
Cooperation between Europe and Asia in Active Learning in Engineering Education
(2019)Worldwide, companies face a shortage of engineering and technology professionals with the right skills and competences. On one side, this is the result of a low number of candidates for those academic careers and, therefore, ... -
A Covering Classification Rule Induction Approach for Big Datasets
(2015)With the ever increasing production of data from various heterogeneous sources in modern information societies, the need for scalable data-intensive processing is increasing. MapReduce quickly became the de facto framework ... -
Cyber-Typhon: An Online Multi-task Anomaly Detection Framework
(2019)According to the Greek mythology, Typhon was a gigantic monster with one hundred dragon heads, bigger than all mountains. His open hands were extending from East to West, his head could reach the sky and flames were coming ... -
D2D-assisted federated learning in mobile edge computing networks
(2021)With the proliferation of edge intelligence and the breakthroughs in machine learning, Federated Learning (FL) is capable of learning a shared model across several edge devices by preserving their private data from being ... -
Deep Bidirectional and Unidirectional LSTM Neural Networks in Traffic Flow Forecasting from Environmental Factors
(2021)The application of deep learning techniques in several forecasting problems has been increased the last years, in many scientific fields. In this research, a deep learning structure is proposed, composed mainly of double ... -
Deep Learning Models for Yoga Pose Monitoring
(2022)Activity recognition is the process of continuously monitoring a person’s activity and movement. Human posture recognition can be utilized to assemble a self-guidance practice framework that permits individuals to accurately ...