Sfoglia per Soggetto "Machine learning"
Items 1-20 di 71
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AI-driven Service-aware Real-time Slicing for beyond 5G Networks
(2022)Wide network softwarization is creating fertile ground for the application of novel concepts in the management of the deployed network functions. This allows a drastic shift for the applications hosted on top of the network, ... -
ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning
(2021)Machine Learning (ML) applications are growing in an unprecedented scale. The development of easy-to-use machine-learning application frameworks has enabled the development of advanced artificial intelligence (AI) applications ... -
Assessing Durum Wheat Yield through Sentinel-2 Imagery: A Machine Learning Approach
(2022)Two modeling approaches for the estimation of durum wheat yield based on Sentinel-2 data are presented for 66 fields across three growing periods. In the first approach, a previously developed multiple linear regression ... -
Assessment of Machine Learning Techniques for Building an Efficient IDS
(2020)Intrusion Detection Systems (IDS) are the systems that detect and block any potential threats (e.g. DDoS attacks) in the network. In this project, we explore the performance of several machine learning techniques when used ... -
Calculating material properties with purely data-driven methods
(2022)Unsupervised machine learning (ML) methods are incorporated in this work to depict correlations and investigate hidden relations between data points that refer to a diffusion coefficient dataset for the Lennard-Jones (LJ) ... -
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 ... -
CAS-HtBase: a new database for the study of HTs at the pre-silicon stage of ASICs
(2022)Hardware Trojan (HT) consists a chip-level viruses which aim to leak encrypted information or degrade the performance of the infected device. They are a modification to the original design of a circuit and consist of two ... -
A classification system based on a new wrapper feature selection algorithm for the diagnosis of primary and secondary polycythemia
(2013)Primary and Secondary Polycythemia are diseases of the bone marrow that affect the blood's composition and prohibit patients from becoming blood donors. Since these diseases may become fatal, their early diagnosis is ... -
A combined clustering/symbolic regression framework for fluid property prediction
(2022)Symbolic regression techniques are constantly gaining ground in materials informatics as the machine learning counterpart capable of providing analytical equations exclusively derived from data. When the feature space is ... -
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 ... -
Conventional and machine learning approaches as countermeasures against hardware trojan attacks
(2020)Every year, the rate at which technology is applied on areas of our everyday life is increasing at a steady pace. This rapid development drives the technology companies to design and fabricate their integrated circuits ... -
Day-ahead natural gas demand forecasting in hourly resolution
(2021)Natural Gas (NG) demand forecasting is a research topic that starts to gather the attention of scholars, research institutions, utilities, retailers and other interested parties. Accurate predictions of future needs for ... -
Development of an electric car sharing system in a tourist area by using data driven tools: The idea of Erica project
(2022)Car sharing systems are an emerging solution aiming to reduce the widespread use of private vehicles and the negative effects that this entails. At the same time, the integration of electric vehicles into the fleet of car ... -
Digital transformation of thermal and cold spray processes with emphasis on machine learning
(2022)Thermal spray technologies continuously evolve to meet new challenges arising from current and future market needs and requirements. This evolution has been well documented throughout the years with regards to equipment, ... -
Effective products categorization with importance scores and morphological analysis of the titles
(2018)During the past few years, the e-commerce platforms and marketplaces have enriched their services with new features to improve their user experience and increase their profitability. Such features include relevant products ... -
Enhancing Food Supply Chain Security through the Use of Blockchain and TinyML
(2022)Food safety is a fundamental right in modern societies. One of the most pressing problems nowadays is the provenance of food and food-related products that citizens consume, mainly due to several food scares and the ... -
Estimating downlink throughput from end-user measurements in mobile broadband networks
(2019)In recent years, Downlink (DL)throughput estimation in Mobile Broadband (MBB)networks has gained immense popularity and it is expected to become a vital component of the upcoming fifth generation (5G)systems. Plentiful ... -
Explainable machine learning for knee osteoarthritis diagnosis based on a novel fuzzy feature selection methodology
(2022)Knee Osteoarthritis (ΚΟΑ) is a degenerative joint disease of the knee that results from the progressive loss of cartilage. Due to KOA’s multifactorial nature and the poor understanding of its pathophysiology, there is a ... -
An explainable machine learning model for material backorder prediction in inventory management
(2021)Global competition among businesses imposes a more effective and low-cost supply chain allowing firms to provide products at a desired quality, quantity, and time, with lower production costs. The latter include holding ... -
An explainable machine learning pipeline for backorder prediction in inventory management systems
(2021)Backorders occur when a product is out of stock, but the costumer is willing to place an order for this product and wait until it will be available for shipment instead of purchasing another. It is an important part of the ...