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[HTML][HTML] Modern computing: Vision and challenges
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …
transformations, profoundly impacting society with transformational developments, such as …
Communication and control in collaborative UAVs: Recent advances and future trends
The recent progress in unmanned aerial vehicles (UAV) technology has significantly
advanced UAV-based applications for military, civil, and commercial domains. Nevertheless …
advanced UAV-based applications for military, civil, and commercial domains. Nevertheless …
[HTML][HTML] Towards 6G Internet of Things: Recent advances, use cases, and open challenges
Smart services based on the Internet of Everything (IoE) are gaining considerable popularity
due to the ever-increasing demands of wireless networks. This demands the appraisal of the …
due to the ever-increasing demands of wireless networks. This demands the appraisal of the …
On the detection of unauthorized drones—Techniques and future perspectives: A review
MA Khan, H Menouar, A Eldeeb… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The market size of civilian drones is tremendously increasing and is expected to reach 1.66
million by the end of 2023. The increase in number of civilian drones poses several privacy …
million by the end of 2023. The increase in number of civilian drones poses several privacy …
Federated feature selection for horizontal federated learning in iot networks
Under horizontal federated learning (HFL) in the Internet of Things (IoT) scenarios, different
user data sets have significant similarities on the feature spaces, the final goal is to build a …
user data sets have significant similarities on the feature spaces, the final goal is to build a …
Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …
and industry, captivating minds with its transformative potential. Deep learning techniques …
As a key enabler of emerging 6G applications, mobile edge computing (MEC) improves the
system performance by coordinating the computation resources between the mobile devices …
system performance by coordinating the computation resources between the mobile devices …
[HTML][HTML] Real-time object detection based on uav remote sensing: A systematic literature review
Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
[HTML][HTML] The role of microservice approach in edge computing: Opportunities, challenges, and research directions
Edge computing has emerged as a promising computing paradigm that enables real-time
data processing and analysis closer to the data source and boosts decision-making …
data processing and analysis closer to the data source and boosts decision-making …
[HTML][HTML] The role of 6G technologies in advancing smart city applications: Opportunities and challenges
The deployment of fifth-generation (5G) wireless networks has already laid the ground-work
for futuristic smart cities but along with this, it has also triggered the rapid growth of a wide …
for futuristic smart cities but along with this, it has also triggered the rapid growth of a wide …