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Now showing items 811-820 of 894
Classification of SAR Images Using Compact Convolutional Neural Networks
(
Springer
, 2022 , Book chapter)
Classification of SAR images has been an interesting task considering its major role in environmental and natural research areas. Existing studies proposed for Land use/land cover (LU/LC) classification using SAR data can ...
QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds
(
MDPI
, 2022 , Article)
Problem-Since the outbreak of the COVID-19 pandemic, mass testing has become essential to reduce the spread of the virus. Several recent studies suggest that a significant number of COVID-19 patients display no physical ...
Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey
(
Elsevier Ltd
, 2022 , Article Review)
Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential role in controlling and slowing down the spread of the virus in smart cities. To ensure the respect of SD in public areas, visual SD ...
Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its first known detection in December 2019. As a result, accurate and reliable advance warning system for the early diagnosis of COVID-19 ...
Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images
(
springer link
, 2023 , Article)
The human eye could be affected with conjunctival melanoma, which indicates a fatal malignant growth of the eye. Being a very rare disease, there exists a lack of related data in the literature. Also, very few studies ...
RamanNet: a generalized neural network architecture for Raman spectrum analysis
(
Springer Science and Business Media Deutschland GmbH
, 2023 , Article)
Raman spectroscopy provides a vibrational profile of the molecules and thus can be used to uniquely identify different kinds of materials. This sort of molecule fingerprinting has thus led to the widespread application of ...
Towards distributed based energy transaction in a clean smart island
(
Elsevier
, 2020 , Article)
Over the last few decades, the use of renewable and clean energy sources has been the core of attention of the researchers. Besides, utilization of the energy hubs as a great innovation for future multi-carrier energy ...
Non-communication and artificial neural network based photovoltaic monitoring using the existing impedance relay
(
Elsevier
, 2020 , Article)
This paper deals with developing a new technique based on artificial neural networks (ANN) for monitoring of the remote grid connected photovoltaic (PV) plant. An ANN utilizes the existing impedance relays’ measurements ...
A comprehensive review of power flow controllers in interconnected power system networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article Review)
Energy security is one of the most crucial factor in the development of any nation. Interconnections among different power system networks are made to lower the overall price of power generation as well as enhance the ...
A Single Inductor, Single Switch High Gain DC-DC Boost Converter
(
IEEE
, 2020 , Conference Paper)
Switched capacitor-based voltage multiplier cell (VMC) is generally employed to increase the output voltage of the dc-dc converter. The proposed converter is a new high gain dc-dc boost converter which utilizes only a ...