Πλοήγηση ανά Θέμα "Social networking (online)"
Αποτελέσματα 1-20 από 85
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Applying unsupervised and supervised machine learning methodologies in social media textual traffic data
(2019)Traffic increasingly shapes the trajectory of city growth and impacts on the climate change in modern cities. Traffic patterns’ monitoring can provide with innovative practices in understanding city traffic dynamics, ... -
ARCHEO: A Dataset for Sound Event Detection in Areas of Touristic Interest
(2020)In this work we introduce ARCHEO; a dataset for audio event recognition consisting of audio clips collected from areas of touristic interest. ARCHEO audio samples can be divided into two types based on the way they were ... -
Arm Gesture Recognition using a Convolutional Neural Network
(2018)In this paper we present an approach towards arm gesture recognition that uses a Convolutional Neural Network (CNN), which is trained on Discrete Fourier Transform (DFT) images that result from raw sensor readings. More ... -
Campaigns and awareness-raising strategies on sustainable urban mobility
(2019)The increasing demand for urban mobility in modern cities leads to traffic congestion and other environmental and societal impacts, requiring a shift to more sustainable mobility behavior. However, travelers are not well ... -
The challenge of improving credibility of user-generated content in online social networks
(2016)In every environment of information exchange, Information Quality (IQ) is considered one of the most important issues. Studies in Online Social Networks (OSNs) analyze a number of related subjects that span both theoretical ... -
Classification of Driving Behaviour using Short-term and Long-term Summaries of Sensor Data
(2020)The classification of driving behaviour is important for monitoring driving risk and fuel efficiency, as well as for adaptive driving assistance and car insurance industry. Starting from raw measurements of acceleration ... -
Coding Time Prediction in H.264/HEVC Transcoding Using Macroblock Sizes
(2019)The continuous customers' demand for higher resolution video led to the development of video coding standards that surpass the limitations of H.264/AVC. Prominent examples in this category include the High Efficiency Video ... -
Collecting and using vessel's live data from on board equipment using 'Internet of Vessels (IoV) platform' (May 2017)
(2017)The purpose of this paper is a presentation of a recursive project (a platform), that started three years ago, in which shore management companies can collect, transmit, store, analyze and finally use and present vessels ... -
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 ... -
Crowd Sourcing as an Improvement of N-Grams Text Document Classification Algorithm
(2020)A common task in a world of natural language processing is text classification useful for e.g.spam filters, documents sorting, science articles classification or plagiarism detection. This can still be done best and most ... -
Design of Reconfigurable Fault-Tolerant Datapaths
(2020)In this paper, behavioral-level synthesis techniques are presented for the design of reconfigurable hardware. The techniques are applicable for synthesis of several classes of designs, such as design for fault-tolerance ... -
Detecting energy-efficient central nodes for cooperative caching in wireless sensor networks
(2013)The deployment of wireless sensor networks in many application areas like environment control, target tracking in battlefields, requires an optimization to the communication among the sensors so as to serve data in short ... -
Detection of abnormal behavior in smart-home environments
(2019)Without a doubt, the security of Internet of Things (IoT) systems is of crucial importance. The use of such systems has significantly increased in the recent year, where in every aspect of our daily life we interact with ... -
Discovering similar Twitter accounts using semantics
(2016)On daily basis, millions of Twitter accounts post a vast number of tweets including numerous Twitter entities (mentions, replies, hashtags, photos, URLs). Many of these entities are used in common by many accounts. The ... -
Efficient big data analysis on a single machine using apache spark and self-organizing map libraries
(2017)Apache Spark is commonly used as a big data analytical platform on powerful computer clusters, as it primarily employ the main computer memory for the evaluation. Our attempt adds self-organizing map software libraries ... -
Efficient Cloud Provisioning for Video Transcoding: Review, Open Challenges and Future Opportunities
(2018)Video transcoding is the process of encoding an initial video sequence into multiple sequences of different bitrates, resolutions, and video standards, so that it can be viewed on devices of various capabilities and with ... -
Efficient urban transportation(s) with IoT devices and robust workers allocation
(2018)During the past few years, the mobile devices and wireless sensors have played an increasingly important role in the evolution of transportations. These devices are able to collect a wide variety of data about a transporter ... -
An enhanced memory TSK-type recurrent fuzzy network for real-time classification
(2015)An enhanced memory TSK-type recurrent fuzzy network (EM-TRFN) is proposed in this paper, suitable for modeling complex dynamic systems. Feedback connections, formulated using finite impulse response (FIR) synaptic filters, ... -
Enhanced tetris legalization
(2016)Legalization and detailed placement methods for standard cell designs, are two of the most notable topics in current VLSI research. Being the final steps in a classic placement procedure they must be efficient in terms of ... -
Enriching social analytics with latent Twitter image information
(2020)In this paper, we propose a framework that uses latent information from Twitter images by employing the Google Cloud Vision API platform aiming at enriching social analytics with semantics and textual information. Our study ...