Discover Internet of Things
SCOPUS (2021-2025)
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Các bài báo tiêu biểu
Swarm-based counter UAV defense system
- 2021
AbstractUnmanned Aerial Vehicles (UAVs) have quickly become one of the promising
Internet-of-Things (IoT) devices for smart cities. Thanks to their mobility,
agility, and onboard sensors’ customizability, UAVs have already demonstrated
immense potential for numerous commercial applications. The UAVs expansion will
come at the price of a dense, high-speed and dynamic traffic prone to UAVs going
rog...
Intelligent IoT systems for civil infrastructure health monitoring: a research roadmap
Tập 1 Số 1 - 2021
AbstractThis paper addresses the problem of efficient and effective data
collection and analytics for applications such as civil infrastructure
monitoring and emergency management. Such problem requires the development of
techniques by which data acquisition devices, such as IoT devices, can: (a)
perform local analysis of collected data; and (b) based on the results of such
analysis, autonomously ...
arHateDetector: detection of hate speech from standard and dialectal Arabic Tweets
AbstractHate speech has become a phenomenon on social media platforms, such as
Twitter. These websites and apps that were initially designed to facilitate our
expression of free speech, are sometimes being used to spread hate towards each
other. In the Arab region, Twitter is a very popular social media platform and
thus the number of tweets that contain hate speech is increasing rapidly. Many
twe...
Detection of road traffic anomalies based on computational data science
AbstractThe development of 5G has enabled the autonomous vehicles (AVs) to have
full control over all functions. The AV acts autonomously and collects travel
data based on various smart devices and sensors, with the goal of enabling it to
operate under its own power. However, the collected data is affected by several
sources that degrade the forecasting accuracy. To manage large amounts of
traffic...
Is iterative feature selection technique efficient enough? A comparative performance analysis of RFECV feature selection technique in ransomware classification using SHAP
AbstractThe realm of cybersecurity places significant importance on early
ransomware detection. Feature selection is critical in this context, as it
enhances detection accuracy, mitigates overfitting, and reduces training time by
eliminating irrelevant and redundant data. However, iterative feature selection
techniques tend to select the best-performing subset of features through an
iterative proc...
Exploring the benefits and challenges of Internet of Things (IoT) during Covid-19: a case study of Bangladesh
Tập 1 - Trang 1-12 - 2021
The Internet of Things (IoT) is expected to have a huge impact, especially
during the pandemic period. The study reveals that people are using the IoT
mostly for education purposes (as students and educators), office work, banks
and medical purposes during the pandemic. The topmost benefit of using IoT
services experienced by people during pandemic situations is that it helps to
strictly maintain ...
Hybrid high-order semantic graph representation learning for recommendations
Tập 1 - Trang 1-19 - 2021
The amount of Internet data is increasing day by day with the rapid development
of information technology. To process massive amounts of data and solve
information overload, researchers proposed recommender systems. Traditional
recommendation methods are mainly based on collaborative filtering algorithms,
which have data sparsity problems. At present, most model-based collaborative
filtering recom...
Optimizing intra-facility crowding in Wi-Fi environments using continuous-time Markov chains
Tập 2 - Trang 1-15 - 2022
Various measures have been devised to reduce crowdedness and alleviate the
transmission of COVID-19. In this study, we propose a method for reducing
intra-facility crowdedness based on the usage of Wi-Fi networks. We analyze
Wi-Fi logs generated continually in vast quantities in the ever-expanding
wireless network environment to calculate the transition probabilities between
the nodes and the mean...
Innovative image interpolation based reversible data hiding for secure communication
Tập 3 - Trang 1-13 - 2023
In an increasingly digitized world, secure communication plays a pivotal role in
safeguarding sensitive information and ensuring the confidentiality of data
transmission. Conventional encryption techniques are robust but often result in
a loss of data during transmission, making it challenging to achieve both
security and image quality simultaneously. To address this issue, an innovative
technique...
A pragmatic ensemble learning approach for rainfall prediction
Tập 3 - Trang 1-15 - 2023
Heavy rainfall and precipitation play a massive role in shaping the
socio-agricultural landscape of a country. Being one of the key indicators of
climate change, natural disasters, and of the general topology of a region,
rainfall prediction is a gift of estimation that can be used for multiple
beneficial causes. Machine learning has an impressive repertoire in aiding
prediction and estimation of ...