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A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
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Springer New York LLC
, 2019 , Article)
This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based on historical spatio-temporal traces of ...
IoT Based Compressive Sensing for ECG Monitoring
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
The Internet of Things (IoT) has empowered several sets of applications related to remote monitoring for patients with chronic cardiovascular diseases, where, electrocardiogram (ECG) monitoring has been widely studied and ...
KERTAS: dataset for automatic dating of ancient Arabic manuscripts
(
Springer Verlag
, 2018 , Article)
The age of a historical manuscript can be an invaluable source of information for paleographers and historians. The process of automatic manuscript age detection has inherent complexities, which are compounded by the lack ...
Arrhythmia classification using DWT-coefficient energy ratios
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Certain features present in electrocardiogram (ECG) signals are used to detect different heart conditions. Hence, by developing a system to extract these features, useful information related to the heart conditions could ...
CS-based fall detection for connected health applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Fall-related injuries of elderly people have become a major public-health burden resulting in direct physical, physiological and financial costs to the surfer and indirect societal costs. Automated fall detectors play a ...
Compressive SensingBased Remote Monitoring Systems for IoT applications
(
Hamad bin Khalifa University Press (HBKU Press)
, 2018 , Conference Paper)
Internet of things (IoT) is shifting the healthcare delivery paradigm from in-person encounters between patients and providers to an "anytime, anywhere" model delivery. Connected health has become more profound than ever ...
Endorsing domestic energy saving behavior using micro-moment classification
(
Elsevier Ltd
, 2019 , Article)
With the ever-growing rise of energy consumption and its devastating financial and environmental repercussions, it is of utmost significance to moderate energy usage with proper energy efficiency tools. This is particularly ...
DroneRF dataset: A dataset of drones for RF-based detection, classification and identification
(
Elsevier Inc.
, 2019 , Article)
Modern technology has pushed us into the information age, making it easier to generate and record vast quantities of new data. Datasets can help in analyzing the situation to give a better understanding, and more importantly, ...
Budgeted online selection of candidate iot clients to participate in federated learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ...
Spammer Detection and Fake User Identification on Social Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Social networking sites engage millions of users around the world. The users' interactions with these social sites, such as Twitter and Facebook have a tremendous impact and occasionally undesirable repercussions for daily ...