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...
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 ...
A framework for evaluating security risk in system design
Tập 2 - Trang 1-30 - 2022
Design and development of ubiquitous computer network systems has become
increasingly difficult as technology continues to grow. From the introduction of
new technologies to the discovery of existing threats, weaknesses, and
vulnerabilities there is a constantly changing landscape of potential risks and
rewards. The cyber security community, and industry at large, is learning to
account for these ...
Use of Internet of Things in the context of execution of smart city applications: a review
Tập 3 - Trang 1-22 - 2023
The Internet of Things (IoT) is rapidly becoming one of the most talked-about
and essential components of any digitization process. The IoT is comprised of
several key necessary components, the most important of which are sensors,
communication (the internet), and user interfaces for data processing. IoTs are
currently finding applications in virtually every industry, including
healthcare, where t...
Things in the air: tagging wearable IoT information on drone videos
Tập 1 - Trang 1-13 - 2021
Drones have been applied to a wide range of security and surveillance
applications recently. With drones, Internet of Things are extending to 3D
space. An interesting question is: Can we conduct person identification (PID) in
a drone view? Traditional PID technologies such as RFID and
fingerprint/iris/face recognition have their limitations or require close
contact to specific devices. Hence, thes...
Correction to: Bayesian Topology Learning and noise removal from network data
Tập 1 - Trang 1-1 - 2021
A correction to this paper has been published:
https://doi.org/10.1007/s43926-021-00013-8