Convolutional neural network based hurricane damage detection using satellite images

S Kaur, S Gupta, S Singh, D Koundal, A Zaguia - Soft Computing, 2022 - Springer
Hurricanes are tropical storms that cause immense damage to human life and property.
Rapid assessment of damage caused by hurricanes is extremely important for the first …

RETRACTED: Mixed-mode database miner classifier: Parallel computation of graphical processing unit mining

SR Nayak, S Sivakumar, AK Bhoi… - … Journal of Electrical …, 2023 - journals.sagepub.com
Graphical processing unit (GPU) has gained more popularity among researchers in the field
of decision making and knowledge discovery systems. However, most of the earlier studies …

DLA-E: a deep learning accelerator for endoscopic images classification

H Bolhasani, SJ Jassbi, A Sharifi - Journal of Big Data, 2023 - Springer
The super power of deep learning in image classification problems have become very
popular and applicable in many areas like medical sciences. Some of the medical …

Evaluation of different methods and models for grass cereals' production estimation: Case study in wheat

F Sala, MV Herbei - Agronomy, 2023 - mdpi.com
Adequate management of agricultural crops requires, among other things, accessible and
sufficiently accurate methods for assessing plant nutrition and crop vegetation status and for …

Symmetric quantile quantizer parameterization for the Laplacian source: qualification for contemporary quantization solutions

Z Perić, J Nikolić, D Aleksić… - Mathematical Problems in …, 2021 - Wiley Online Library
In this paper, we consider the opportunities and constraints, which rest on quantization as a
guiding principle for data representation and compression. In particular, we propose a novel …

HCE: a runtime system for efficiently supporting heterogeneous cooperative execution

L Wan, W Zheng, X Yuan - IEEE Access, 2021 - ieeexplore.ieee.org
Heterogeneous systems with multiple different compute devices have come into common
use recently, and the heterogeneity of the compute device is mainly reflected in three …

Online resource allocation in edge computing using distributed bidding approaches

C Rublein, F Mehmeti, M Towers… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
Edge computing has become a very popular service that enables mobile devices to run
complex tasks with the help of network-based computing resources. However, edge clouds …

A feasibility analysis of image approximation with image quality assessments

MA Rahman, A Huq, SS Tunny, MH Anik… - IET Image …, 2024 - Wiley Online Library
With technological developments, the resolution of the display systems is increasing,
causing image data to increase. Several technologies are aiding in optimizing these data …

Impact of Client Choice on Distributed Resource Allocation in Edge Computing

C Rublein, F Mehmeti, M Mahon… - 2024 33rd International …, 2024 - ieeexplore.ieee.org
Through using edge computing services, mobile devices can run complex tasks with the
help of network-based computing resources. However, servers in the edge cloud are not …

Heterogeneous Hadoop Cluster‐Based Image Processing Workload Distribution Framework between CPU and GPU

N Naz, I Zada, AH Malik, M Nadeem… - Scientific …, 2023 - Wiley Online Library
Due to the rapid development of image data and the necessity to analyze it to extract
meaningful information, heterogeneous systems have gained prominence. One of the most …