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A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
(
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 ...
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 ...
An approach for constructing complex discriminating surfaces based on Bayesian interference of the maximum entropy
(
Elsevier Inc.
, 2003 , Article)
In this paper we present a comprehensive Maximum Entropy (MaxEnt) procedure for the classification tasks. This MaxEnt is applied successfully to the problem of estimating the probability distribution function (pdf) of a ...
Lightweight IoT Malware Detection Solution Using CNN Classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Internet of Things (IoT) is becoming more frequently used in more applications as the number of connected devices is in a rapid increase. More connected devices result in bigger challenges in terms of scalability, ...
Linear Classifier Approach to Detect Alpha Parietal Modulation for Brain Computer Interface
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Brain computer interaction (BCI) based on electroencephalographic (EEG) signal helps people who suffering from disability to carry out their daily life. However, the numerus number of researches have done in this field, ...
Detecting different tasks using EEG-source-temporal features
(
Springer Nature
, 2012 , Conference Paper)
This study proposes a new type of features extracted from Electroencephalography (EEG) signals to distinguish between different tasks. EEG signals are collected from six children aged between two to six years old during ...