Listar por tema "Learning models"
Mostrando ítems 1-11 de 11
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Credit card fraud detection using a deep learning multistage model
(2022)The banking sector is on the eve of a serious transformation and the thrust behind it is artificial intelligence (AI). Novel AI applications have been already proposed to deal with challenges in the areas of credit scoring, ... -
A Deep Learning Model for Data Synopses Management in Pervasive Computing Applications
(2021)Pervasive computing involves the placement of processing units and services close to end users to support intelligent applications that will facilitate their activities. With the advent of the Internet of Things (IoT) and ... -
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 ... -
EndoVAE: Generating Endoscopic Images with a Variational Autoencoder
(2022)The generalization performance of deep learning models is closely associated with the number and diversity of data available upon training. While in many applications there is a large number of data available in public, ... -
An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge
(2020)Data quality is a significant research subject for any application that requests for analytics to support decision making. It becomes very important when we focus on Internet of Things (IoT) where numerous devices can ... -
ETH analysis and predictions utilizing deep learning
(2020)This paper attempts to provide a data analysis of cryptocurrency markets. Such markets have been developed rapidly and their volatility poses significant research challenges and justifies intensive behavior analysis. For ... -
An explainable semi-personalized federated learning model
(2022)Training a model using batch learning requires uniform data storage in a repository. This approach is intrusive, as users have to expose their privacy and exchange sensitive data by sending them to central entities to be ... -
An intelligent edge-centric queries allocation scheme based on ensemble models
(2020)The combination of Internet of Things (IoT) and Edge Computing (EC) can assist in the delivery of novel applications that will facilitate end-users' activities. Data collected by numerous devices present in the IoT ... -
On the Use of a Sequential Deep Learning Scheme for Financial Fraud Detection
(2021)Forecasting fraud detection has never been more essential for the finance industry than today. The detection of fraud has been a major concern for the banking industry due to the high impact on banks’ revenues and reputation. ... -
Proactive Attack Detection at the Edge through an Ensemble Deep Learning Model
(2021)The new form of the Web involves numerous devices present in two infrastructures, i.e., the Internet of Things (IoT) and the Edge Computing (EC) infrastructure. IoT devices are adopted to record ambient data and host ... -
Specially designed sound-boxes used by students to perform school-lab sensor-based experiments, to understand sound phenomena
(2011)The research presented herein investigates and records students' perceptions relating to sound phenomena and their improvement during a specialised laboratory practice utilizing ICT and a simple experimental apparatus, ...