Πλοήγηση Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. ανά Τίτλο
Αποτελέσματα 7592-7611 από 19702
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Feasibility and efficacy of extracorporeal shock-wave lithotripsy using a new modified lateral position for the treatment of renal stones in obese patients
(2012)The aim of our study was to evaluate the efficacy and safety of ESWL using a modified lateral position in obese patients with renal stones. Nineteen obese patients with renal stones were enrolled (group A). The mean stone ... -
Feasibility and safety of radical cystectomy under combined spinal and epidural anesthesia in octogenarian patients with ASA score >= 3: A case series
(2015)Introduction: This study evaluated the feasibility and safety of open radical cystectomy (RC) under combined regional anesthesia (CRA) in high-risk octogenarian patients. Methods: We retrospectively evaluated the medical ... -
Feasibility of a modelling suite for the optimised biomass harvest scheduling
(2010)It has been estimated that 1/3 of forage grass is harvested drier than the optimum moisture content while another 1/3 is harvested while too wet This indicates that dedicated systems supporting decisions that affect grass ... -
Feasibility of a Responsibility-Based Leadership Training Program for Novice Physical Activity Instructors
(2021)Most coaches and instructors would like to teach more than just sport skills to their athletes and children. However, to promote athletes’ or children’s holistic development and teach them to take responsibility and lead, ... -
Feasibility study of a HSPA backhauling over satellite for crisis management
(2011)The present paper studies the performance of a high-speed third-generation (3.5G) networking technology, HSPA (High Speed Packet Access), for delivering crisis management and emergency e-health applications under urgent ... -
A feasibility study of dynamic stress analysis inside a running internal combustion engine using synchrotron X-ray beams
(2013)The present investigation establishes the feasibility of using synchrotron-generated X-ray beams for time-resolved in situ imaging and diffraction of the interior components of an internal combustion engine during its ... -
Feature evolution for classification of remotely sensed data
(2007)In a number of remote-sensing applications,. it is critical to decrease the dimensionality of the input in order to reduce the complexity and, hence, the processing time and possibly improve classification accuracy. In ... -
Feature extraction and pattern recognition from fisheye images in the spatial domain
(2018)Feature extraction for pattern recognition is a very common task in image analysis and computer vision. Most of the work has been reported for images / image sequences acquired by perspective cameras. This paper discusses ... -
Feature models for big data applications: Modeling big data applications by applying feature models
(2018)Modeling Big Data Applications is a key research topic for designing, analyzing, programming and deploying data-intensive applications, with high value and long-term trade-offs. The need for unified perspectives, architectures ... -
Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm
(2021)Big data methods prevail in the biomedical domain leading to effective and scalable data-driven approaches. Biomedical data are known for their ultra-high dimensionality, especially the ones coming from molecular biology ... -
Feature Selection Using Artificial Gorilla Troop Optimization for Biomedical Data: A Case Analysis with COVID-19 Data
(2022)Feature selection (FS) is commonly thought of as a pre-processing strategy for determining the best subset of characteristics from a given collection of features. Here, a novel discrete artificial gorilla troop optimization ... -
Feature-based natural language processing for GSL synthesis
(2007)The work reported in this study is based on research that has been carried out while developing a sign synthesis system for Greek Sign Language (GSL) and involves theoretical linguistic analysis as well as lexicon and ... -
FEATURES OF FROST-AFFECTED AREAS FROM DIGITAL METEOSAT IR IMAGES
(1995)Frost is a natural hazard, which may cause significant damage to agriculture depending also on the phenological stage of the affected crops. In this paper, several features of the frost-affected areas are examined by using ... -
Features of registered occupational diseases in Greece: a veil of ignorance
(2012)Introduction: Background: Under-registration of occupational diseases is a global problem. Objectives: The aim of this study was to describe the characteristics of the reported cases of occupational diseases, in the context ... -
Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework
(2021)The complete transformation of the supply chain in a truly integrated and fully automated process, presupposes the continuous and endless collection of digital information from every stage of the production scale. The aim ... -
Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework
(2021)The complete transformation of the supply chain in a truly integrated and fully automated process, presupposes the continuous and endless collection of digital information from every stage of the production scale. The aim ... -
Federated experimentation infrastructure interconnecting sites from both Europe and South Korea (SmartFIRE)
(2017)[No abstract available] -
Federated Learning Protocols for IoT Edge Computing
(2022)In this article, we provide a set of federated learning (FL) protocols for future Internet architectures, which integrate the edge computing with the Internet of Things (IoT) known as 'IoT edge computing.' The proposed ... -
A federated machine learning protocol for fog networks
(2021)In this paper, we present a federated learning (FL) protocol for fog networking applications. The fog networking architecture is compatible with the Internet of Things (IoT) edge computing concept of the Internet Engineering ... -
Federated-Learning-Driven Radio Access Networks
(2022)In this work, we present federated learning (FL) driven radio access mechanisms, which can be employed at the future radio access networks (RANs) to achieve high accuracy rather than data rate that was the objective in ...