|
|
|
Hanan M. Alghamdi
Sentiment analysis plays a crucial role in understanding public opinion and social media trends. It involves analyzing the emotional tone and polarity of a given text. When applied to Arabic text, this task becomes particularly challenging due to the lan...
ver más
|
|
|
|
|
|
|
Dimitris Gkoulis, Cleopatra Bardaki, George Kousiouris and Mara Nikolaidou
This paper focuses on Internet of Things (IoT) architectures and knowledge generation out of streams of events as the primary elements concerning the creation of user-centric IoT services. We provide a general, symmetrical IoT architecture, which enables...
ver más
|
|
|
|
|
|
|
Juliana Castaneda, Mattia Neroni, Majsa Ammouriova, Javier Panadero and Angel A. Juan
Many real-life combinatorial optimization problems are subject to a high degree of dynamism, while, simultaneously, a certain level of synchronization among agents and events is required. Thus, for instance, in ride-sharing operations, the arrival of veh...
ver más
|
|
|
|
|
|
|
Alexander Sboev, Sanna Sboeva, Ivan Moloshnikov, Artem Gryaznov, Roman Rybka, Alexander Naumov, Anton Selivanov, Gleb Rylkov and Vyacheslav Ilyin
The paper presents the full-size Russian corpus of Internet users? reviews on medicines with complex named entity recognition (NER) labeling of pharmaceutically relevant entities. We evaluate the accuracy levels reached on this corpus by a set of advance...
ver más
|
|
|
|
|
|
|
Louis Portalès
The CMS collaboration is building a high-granularity calorimeter (HGCAL) for the endcap regions as part of its planned upgrade for the High-Luminosity LHC. The calorimetric data will form part of the Level-1 trigger (hardware) of the CMS experiment, redu...
ver más
|
|
|
|
|
|
|
Sepehr Honarparvar, Sara Saeedi, Steve Liang and Jeremy Squires
Emerging deep learning (DL) approaches with edge computing have enabled the automation of rich information extraction, such as complex events from camera feeds. Due to the low speed and accuracy of object detection, some objects are missed and not detect...
ver más
|
|
|
|
|
|
|
Rosiberto Gonçalves, Jesse J. M. Soares and Ricardo M. F. Lima
The world?s population growth and climate changes increase the demand for high-quality water. This fact forces humankind to create new water management strategies. Smart cities have successfully applied the Internet of Things (IoT) technology in many sec...
ver más
|
|
|
|
|
|
|
Kelly Grassi, Émilie Poisson-Caillault, André Bigand and Alain Lefebvre
In the framework of ecological or environmental assessments and management, detection, characterization and forecasting of the dynamics of environmental states are of paramount importance. These states should reflect general patterns of change, recurrent...
ver más
|
|
|
|
|
|
|
Selahattin Kocaman and Kaan Dal
The floods following the event of a dam collapse can have a significant impact on the downstream environment and ecology. Due to the limited number of real-case data for dam-break floods, laboratory experiments and numerical models are used to understand...
ver más
|
|
|
|
|
|
|
Sven Meister,Wolfgang Deiters,Sven Schafer,Valentin Stahlmann
Pág. 42 - 56
The extensive usage of information and communication technologies (ICT) within healthcare, like electronic health records, Ambient Assisted Living (AAL) and telemedicine, results in a continuously increasing amount of heterogeneous data. Data, on the one...
ver más
|
|
|
|