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Placement of Social Digital Twins at the Edge for Beyond 5G IoT Networks
(IEEE, 2022-07-22)
As the fifth-generation (5G) and beyond (5G+/6G)
networks move forward, and a wide variety of new advanced
Internet of Things (IoT) applications are offered, effective
methodologies for discovering time-relevant ...
Anomaly Detection in Activities of Daily Living with Linear Drift
(Springer, 2020-07-01)
Anomalyq detection in Activities of Daily Living (ADL) plays an important role in e-health applications. An abrupt change in the ADL performed by a subject might indicate that she/he needs some help. Another important issue ...
Local inhomogeneous second-order characteristics for spatio-temporal point processes occurring on linear networks
(Springer, 2022)
Point processes on linear networks are increasingly being considered to analyse events occurring on particular network-based structures. In this paper, we extend Local Indicators of Spatio-Temporal Association (LISTA) ...
Graphical Framework for Categorizing Data Capabilities and Properties of Objects in the Internet of Things
(IEEE, 2020-01-27)
Things are the core of the Internet of Things (IoT) and must be properly characterized according to the different functions they accomplish. Identifying their capabilities and combining them as sets provides a view on the ...
Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19
(Elsevier, 2022-08)
The use of face masks in public places has emerged as one of the most effective non-pharmaceutical measures to lower the spread of COVID-19 infection. This has led to the development of several detection systems for ...
FloU-Net: An Optical Flow Network for Multi-modal Self-Supervised Image Registration
(Institute of Electrical and Electronics Engineers, 2023)
Image registration is an essential task in image
processing, where the final objective is to geometrically align
two or more images. In remote sensing, this process allows
comparing, fusing or analyzing data, specially ...
Citizen science in the social sciences and humanities: the power of interdisciplinarity
(Springer Nature, 2020-05-07)
Citizen science evolved through multiple disciplinary manifestations into a new field of study and a participatory method of enquiry. While most citizen science projects take place within problem-focused natural sciences, ...
A Holistic Assessment of Directional Deafness in mmWave-Based Distributed 3D Networks
(IEEE, 2022-03-21)
The adoption of abundant millimeter-wave (mmWave) spectrum offers higher capacity for short-range connectivity in various Unmanned Aerial Vehicle (UAV)-centric communications scenarios. In contrast to the conventional ...
Smartphone‑based serious games for mental health: a scoping review
(Springer, 2024)
The use of smartphone-based Serious Games in mental health care is an emerging and
promising research feld. Combining the intrinsic characteristics of games (e.g., interactiveness, immersiveness, playfulness, user-tailoring ...
A study of deep neural networks for human activity recognition
(Wiley, 2020)
Human activity recognition and deep learning are two fields that have attracted attention in recent years. The former due to its relevance in many application domains, such as ambient assisted living or health monitoring, ...