Browsing by Subject "Learning algorithms"
Now showing items 21-40 of 48
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A hybrid metaheuristics-based algorithm for electricity load curves profiling
(2021)Clustering-based load profiling utilizes unsupervised machine learning algorithms to form homogenous clusters composed by electricity load curves with similar characteristics. Due to the importance of load profiling in ... -
Immune learning in a dynamic information environment
(2009)In Adaptive Information Filtering, the user profile has to be able to define and maintain an accurate representation of the user's interests over time. According to Autopoietic Theory, the immune system faces a similar ... -
Improving Multiclass Classification of Cybersecurity Breaches in Railway Infrastructure using Imbalanced Learning
(2021)Machine learning approaches and algorithms are spreading in wide areas in research and technology. Cybersecurity breaches are the common anomalies for networked and distributed infrastructures which are monitored, registered, ... -
Information content in nuclear medicine imaging
(2019)The aim of the present study was to investigate the information content of positron emission tomography (PET) images. We used the GATE Monte Carlo package (GEANT4 application for tomographic emission) and reconstructed ... -
Intelligent tasks allocation at the edge based on machine learning and bio-inspired algorithms
(2022)Current advances in the Internet of Things (IoT) and Cloud involve the presence of an additional layer between them acting as mediator for data transfer and processing in close distance to end users. This mediator is the ... -
Investigating the efficiency of machine learning algorithms on mapreduce clusters with SSDs
(2018)In the big data era, the efficient processing of large volumes of data has became a standard requirement for both organizations and enterprises. Since single workstations cannot sustain such tremendous workloads, MapReduce ... -
An iterative distance-based model for unsupervised weighted rank aggregation
(2019)Rank aggregation is a popular problem that combines different ranked lists from various sources (frequently called voters or judges), and generates a single aggregated list with improved ranking of its items. In this ... -
Learning the engagement of query processors for intelligent analytics
(2017)Current applications require the processing of huge amounts of data produced by applications or end users personal devices. In such settings, intelligent analytics on top of large scale data are the key research subject ... -
A Learning-Based Spectrum Access Stackelberg Game: Friendly Jammer-Assisted Communication Confrontation
(2021)Defensive and offensive capabilities are both significant in communication confrontation games. By exploiting the above two capabilities, a new confrontation mechanism in the spectrum domain between two opposing teams ... -
A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks
(2021)Every learning algorithm, has a specific bias. This may be due to the choice of its hyperparameters, to the characteristics of its classification methodology, or even to the representation approach of the considered ... -
Machine learning technique in time series prediction of gross domestic product
(2017)Artificial intelligence is gaining ground the last years in many scientific sectors with the development of new machine learning techniques. In this research, a machine learning methodology is proposed in the Gross Domestic ... -
MACHINE LEARNING to DEVELOP A MODEL THAT PREDICTS EARLY IMPENDING SEPSIS in NEUROSURGICAL PATIENTS
(2022)Sepsis is currently defined as a "life-threatening organ dysfunction caused by a dysregulated host response to infection". The early detection and prediction of sepsis is a challenging task, with significant potential gains ... -
A Mechanism Design and Learning Approach for Revenue Maximization on Cloud Dynamic Spot Markets
(2021)Modern large-scale computing deployments consist of complex elastic applications running over machine clusters. A current trend adopted by providers is to set unused virtual machines, or else spot instances, in low prices ... -
MedGaze: Gaze Estimation on WCE Images Based on a CNN Autoencoder
(2019)The interpretation of medical images depends on physicians' experience. Over time, physicians develop their ability to examine the images, and this is usually reflected on gaze patterns they follow to observe visual cues, ... -
A novel adaptive learning rate algorithm for convolutional neural network training
(2017)In this work an adaptive learning rate algorithm for Convolutional Neural Networks is presented. Harvesting already computed first order information of the gradient vectors of three consecutive iterations during the training ... -
On the Employment of Machine Learning Techniques for Troubleshooting WiFi Networks
(2019)The rapidly increasing popularity of 802.11 WLANs along with the co-existence of multiple heterogeneous devices in the unlicensed frequency bands have created unprecedented levels of congestion, especially in densely ... -
Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative
(2020)Knee Osteoarthritis(KOA) is a serious disease that causes a variety of symptoms, such as severe pain and it is mostly observed in the elder people. The main goal of this study is to build a prognostic tool that will predict ... -
Predictive join processing between regions and moving objects
(2008)The family of R-trees is suitable for indexing various kinds of multidimensional objects. TPR*-trees are R-tree based structures that have been proposed for indexing a moving object database, e.g. a data-base of moving ... -
Quantum Machine Learning: Current State and Challenges
(2021)In recent years, machine learning has penetrated a large part of our daily lives, which creates special challenges and impressive progress in this area. Nevertheless, as the amount of daily data is grown, learning time is ... -
A Real-time Approach System for Vineyards Intra-row Weed Detection
(2022)With the incorporation of autonomous robotic platforms in various areas (industry, agriculture, etc.), numerous mundane operations have become fully automated. The highly demanding working environment of Agriculture let ...