Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
[HTML][HTML] The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …
[HTML][HTML] Big data in construction: current applications and future opportunities
Big data have become an integral part of various research fields due to the rapid
advancements in the digital technologies available for dealing with data. The construction …
advancements in the digital technologies available for dealing with data. The construction …
Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives
Water body classification from high-resolution optical remote sensing (RS) images, aiming at
classifying whether each pixel of the image is water or not, has become a hot issue in the …
classifying whether each pixel of the image is water or not, has become a hot issue in the …
[HTML][HTML] Inspecting buildings using drones and computer vision: A machine learning approach to detect cracks and damages
Manual inspection of infrastructure damages such as building cracks is difficult due to the
objectivity and reliability of assessment and high demands of time and costs. This can be …
objectivity and reliability of assessment and high demands of time and costs. This can be …
Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision
Traditional approaches for visual perception and evaluation of river landscapes adopt on-
site surveys or assessments through photographs. The former is expensive, hindering large …
site surveys or assessments through photographs. The former is expensive, hindering large …
[HTML][HTML] Automatic target detection from satellite imagery using machine learning
Object detection is a vital step in satellite imagery-based computer vision applications such
as precision agriculture, urban planning and defense applications. In satellite imagery …
as precision agriculture, urban planning and defense applications. In satellite imagery …
[HTML][HTML] A context feature enhancement network for building extraction from high-resolution remote sensing imagery
The complexity and diversity of buildings make it challenging to extract low-level and high-
level features with strong feature representation by using deep neural networks in building …
level features with strong feature representation by using deep neural networks in building …
A novel metaheuristics with adaptive neuro-fuzzy inference system for decision making on autonomous unmanned aerial vehicle systems
M Ragab, EB Ashary, WH Aljedaibi, IR Alzahrani… - ISA transactions, 2023 - Elsevier
Recently, autonomous systems have received considerable attention amongst research
communities and academicians. Unmanned aerial vehicles (UAVs) find useful in several …
communities and academicians. Unmanned aerial vehicles (UAVs) find useful in several …
[HTML][HTML] Using adaptive sensors for optimised target coverage in wireless sensor networks
J Akram, HS Munawar, AZ Kouzani, MAP Mahmud - Sensors, 2022 - mdpi.com
Innovation in wireless communications and microtechnology has progressed day by day,
and this has resulted in the creation of wireless sensor networks. This technology is utilised …
and this has resulted in the creation of wireless sensor networks. This technology is utilised …