Πλοήγηση ανά Θέμα "Artificial intelligence"
Αποτελέσματα 1-20 από 102
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5G-VICTORI: Future Railway Communications Requirements Driving 5G Deployments in Railways
(2021)The complete transformation of the ICT domain driven by 5G network principles and capabilities, will impact significantly the path towards digitalization of many vertical industries, with modern railway transportations ... -
Accurate, dynamic, and distributed localization of phenomena for mobile sensor networks
(2016)We present a robust, dynamic scheme for the automatic self-deployment and relocation of mobile sensor nodes (e.g., unmanned ground vehicles, robots) around areas where phenomena take place. Our scheme aims (i) to sense ... -
Advanced block detection and quantification of fibrotic areas in microscopy images of obstructive nephropathy
(2012)Obstructive nephropathy is not a rare disease and experts need a tool, which will provide them fast and accurate reproducible results for disease assessment. In this work we deal with the analysis of biopsy images for the ... -
Advanced cancer cell characterization and quantification of microscopy images
(2012)In this paper we present an advanced image analysis tool for the accurate characterization and quantification of cancer and apoptotic cells in microscopy images. Adaptive thresholding and Support Vector Machines classifiers ... -
AgroNIT: Innovating Precision Agriculture
(2022)Major global concerns considering food production include, not only meeting the increasing food demand but also meeting challenges that put significantly less strain on the environment, safeguard food quality and prevent ... -
AI in Greece: The case of research on linked geospatial data
(2018)We survey the AI research carried out in Greece recently. We concentrate on the case of linked geospatial data, an area with significant practical importance, very interesting research results, and implemented systems ... -
Ant colony optimization and data mining: Techniques and trends
(2010)The Ant Colony Optimization (ACO) technique was inspired by the ants' behaviour throughout their exploration for food. The use of this technique has been very successful for several problems. Besides, Data Mining (DM) has ... -
Artificial Intelligence, Big Data Analytics, and Smart Cities
(2022)Modern urban life is seeing an increasing rate of adoption of artificial intelligence and smart solutions; however, citizens are still struggling to keep up the pace, and the rate at which they acquire skills and knowledge ... -
Automated detection of streaks in dermoscopy images
(2015)In this paper we present a novel algorithm for the detection of dark linear structures, which appear in digital dermoscopy images of skin lesions and they are called as streaks in relevant literature. The proposed algorithm ... -
Backbone formation in military multi-layer ad hoc networks using complex network concepts
(2016)Modern battlefields are characterized by increasing deployment of ad hoc communications among allied entities. These networks can be seen as a complex multi-layer ad hoc network, where each layer may be an independently ... -
Bagged nonlinear Hebbian learning algorithm for fuzzy cognitive maps working on classification tasks
(2012)Learning of fuzzy cognitive maps (FCMs) is one of the most useful characteristics which have a high impact on modeling and inference capabilities of them. The learning approaches for FCMs are concentrated on learning the ... -
Bayesian networks based policy making in the renewable energy sector
(2020)Extensive research on energy policy nowadays combines theory with advanced statistical tools such as Bayesian networks for analysis and prediction. The majority of these studies are related to observe energy scenarios in ... -
Biological-inspired algorithms for dynamic search in web graphs
(2011)We propose a biological-inspired algorithmic procedure for improving the precision level in respect to a web user's query. This algorithm is capable of tracing relevant information in web graphs, imitating the mission of ... -
Bridging the gap between multi-objective optimization and spatial planning: a new post-processing methodology capturing the optimum allocation of land uses against established transportation infrastructure
(2017)The optimal allocation of multiple land uses constitutes a complex multi-objective optimization problem with unknown feasible objective space and optimal planning alternatives. Despite the effectiveness of evolutionary ... -
Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images
(2014)A number of Computer Vision and Artificial Intelligence applications are based on descriptors that are extracted from imaged objects. One widely used class of such descriptors are the invariant moments, with Zernike moments ... -
Camera-driven probabilistic algorithm for multi-elevator systems
(2020)A fast and reliable vertical transportation system is an important component of modern office buildings. Optimization of elevator control strategies can be easily done using the state-of-the-art artificial intelligence ... -
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 ... -
The challenges of interpreting phosphoproteomics data: A critical view through the bioinformatics lens
(2016)During the last decade, there has been great progress in high-throughput (HTP) phosphoproteomics and hundreds or even thousands of phosphorylation sites (p-sites) can now be detected in a single experiment. This success ... -
Circular bio-economy via energy transition supported by Fuzzy Cognitive Map modeling towards sustainable low-carbon environment
(2020)Several energy transition plans attempt to establish low-carbon practices towards a circular bio-economy in order to reduce greenhouse gas emissions. However, most actions only try to assuage the impacts of climate change ... -
Clustering of high dimensional data streams
(2012)Clustering of data streams has become a task of great interest in the recent years as such data formats is are becoming increasingly ambiguous. In many cases, these data are also high dimensional and in result more complex ...