Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey

H Kurunathan, H Huang, K Li, W Ni… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …

Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks

K Muhammad, T Hussain, H Ullah… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …

Involvement of surveillance drones in smart cities: A systematic review

A Gohari, AB Ahmad, RBA Rahim, ASM Supa'at… - IEEE …, 2022 - ieeexplore.ieee.org
Drones, or unmanned aerial vehicles (UAVs), are among the most beneficial and emerging
technologies, with a wide range of applications that can support the sustainability concerns …

A survey of video surveillance systems in smart city

Y Myagmar-Ochir, W Kim - Electronics, 2023 - mdpi.com
Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …

Artificial intelligence Internet of Things: A new paradigm of distributed sensor networks

KP Seng, LM Ang… - International Journal of …, 2022 - journals.sagepub.com
The advances and convergence in sensor, information processing, and communication
technologies have shaped the Internet of Things of today. The rapid increase of data and …

Delay-optimal task offloading for UAV-enabled edge-cloud computing systems

J Almutairi, M Aldossary, HA Alharbi, BA Yosuf… - IEEE …, 2022 - ieeexplore.ieee.org
The emergence of delay-sensitive and computationally-intensive mobile applications and
services pose a significant challenge for Unmanned Aerial Vehicles (UAVs) devices due to …

Aerial: A meta review and discussion of challenges toward unmanned aerial vehicle operations in logistics, mobility, and monitoring

S Wandelt, S Wang, C Zheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
There exists a tremendous number of research surveys on various aspects of UAV logistics,
mobility and monitoring tasks in the literature. These surveys have been published in distinct …

Dynamic multi-objective AWPSO in DT-assisted UAV cooperative task assignment

M Deng, Z Yao, X Li, H Wang… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
In recent years, more and more attention has been paid to the unmanned aerial vehicle
(UAV) cooperative task assignment. In order to complete the task with the lowest cost, some …

[PDF][PDF] Efficient Deep Learning Framework for Fire Detection in Complex Surveillance Environment.

N Dilshad, T Khan, J Song - Comput. Syst. Sci. Eng., 2023 - researchgate.net
To prevent economic, social, and ecological damage, fire detection and management at an
early stage are significant yet challenging. Although computationally complex networks have …

Visual intelligence in smart cities: a lightweight deep learning model for fire detection in an IoT environment

M Nadeem, N Dilshad, NS Alghamdi, LM Dang… - Smart Cities, 2023 - mdpi.com
The recognition of fire at its early stages and stopping it from causing socioeconomic and
environmental disasters remains a demanding task. Despite the availability of convincing …