Parcourir Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ) par titre
Voici les éléments 11284-11303 de 19702
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M-consecutive-k-out-of-n: F structures with a single change point
(2020)In the present article, we introduce the m-consecutive-k-out-of-n: F structures with a single change point. The aforementioned system consists of n independent components, of which the first n1 units are identically ... -
A M. avium complex spondylodiscitis in a middle-aged woman with diabetes
(2017)Spondylodiscitis, the inflammation of the vertebral bodies and the intervertebral disk space, is the reason for low back pain in a minority of cases. This is caused by various pathogens. Mycobacterium tuberculosis is ... -
The MaBE middleware
(2005)The research project MaBE aims at the development of agent-based middleware supporting cooperation in open business environments, based on real-world case studies concerning virtual enterprises. These case studies provide ... -
A MAC protocol for full exploitation of directional antennas in ad-hoc wireless networks
(2003)Directional antennas in ad hoc networks offer many benefits compared with classical omnidirectional antennas. The most important include significant increase of spatial reuse, coverage range and subsequently network capacity ... -
MAC protocol for wireless cooperative physical-layer network coding
(2012)In this paper we present a cooperative medium access control (MAC) protocol that is designed for a physical layer that can decode interfering transmissions in distributed wireless networks. The proposed protocol pro-actively ... -
Machine learning and features for the prediction of thermal sensation and comfort using data from field surveys in Cyprus
(2022)Perception can influence individuals’ behaviour and attitude affecting responses and compliance to precautionary measures. This study aims to investigate the performance of methods for thermal sensation and comfort prediction. ... -
Machine learning applied on the district heating and cooling sector: a review
(2022)Driven by the continuous growing demand for heating and cooling, district heating and cooling systems (DHC) play a major role in the field of energy by providing environmentally friendly solutions for citizens with significant ... -
A Machine Learning Approach for NILM based on Odd Harmonic Current Vectors
(2019)This paper examines the application of machine learning techniques in NILM methodologies based on the first three odd harmonic order current vectors as the only attributes of the appliances. Proper formulation of the ... -
A Machine Learning approach to the EFT re-interpretation of the WZjj fully leptonic electroweak production
(2021)In this paper we study the use of Machine Learning techniques to set constraints on indirect signatures of physics beyond the Standard Model in Vector Boson Scattering (VBS), in the electroweak (EWK) production of ... -
Machine learning approaches for predicting health risk of cyanobacterial blooms in Northern European Lakes
(2020)Cyanobacterial blooms are considered a major threat to global water security with documented impacts on lake ecosystems and public health. Given that cyanobacteria possess highly adaptive traits that favor them to prevail ... -
Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status
(2020)Background: Combining MRI techniques with machine learning methodology is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such a framework applied ... -
Machine learning for all: A more robust federated learning framework
(2019)Machine learning and especially deep learning are appropriate for solving multiple problems in various domains. Training such models though, demands significant processing power and requires large data-sets. Federated ... -
Machine Learning for Hardware Trojan Detection: A Review
(2019)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 ... -
Machine learning for rhabdomyosarcoma histopathology
(2022)Correctly diagnosing a rare childhood cancer such as sarcoma can be critical to assigning the correct treatment regimen. With a finite number of pathologists worldwide specializing in pediatric/young adult sarcoma ... -
Machine Learning in Meningioma MRI: Past to Present. A Narrative Review
(2022)Meningioma is one of the most frequent primary central nervous system tumors. While magnetic resonance imaging (MRI), is the standard radiologic technique for provisional diagnosis and surveillance of meningioma, it ... -
A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients
(2020)Osteoarthritis is the common form of arthritis in the knee (KOA). It is identified as one of the main causes of pain leading even to disability. To exploit the continuous increase in medical data concerning KOA, various ... -
Machine Learning Prediction of Hypoglycemia and Hyperglycemia from Electronic Health Records: Algorithm Development and Validation
(2022)Background: Acute blood glucose (BG) decompensations (hypoglycemia and hyperglycemia) represent a frequent and significant risk for inpatients and adversely affect patient outcomes and safety. The increasing need for BG ... -
Machine learning product key performance indicators and alignment to model evaluation
(2021)Machine Learning has seen amazing progress the past years with increasing commercial use from industries across the business spectrum. Businesses strive for alignment of vision and mission statement to the actual products ... -
Machine learning symbolic equations for diffusion with physics-based descriptions
(2022)This work incorporates symbolic regression to propose simple and accurate expressions that fit to material datasets. The incorporation of symbolic regression in physical sciences opens the way to replace "black-box"machine ...
