[HTML][HTML] Scope of machine learning in materials research—A review
This comprehensive review investigates the multifaceted applications of machine learning in
materials research across six key dimensions, redefining the field's boundaries. It explains …
materials research across six key dimensions, redefining the field's boundaries. It explains …
A Novel Text Recognition Scheme using Classification Assisted Digital Image Processing Strategy
M Tamilselvi, G Ramkumar, G Anitha… - … on Advances in …, 2022 - ieeexplore.ieee.org
In the industry of Digital Image Processing, Text Recognition is an important task due to the
significance of many classical records available today is in the format of paper record. The …
significance of many classical records available today is in the format of paper record. The …
Systematic review and analysis on underwater image enhancement methods, datasets, and evaluation metrics
Underwater environments can be used to explore new resources that can be employed in
the fields of medical science and energy resources. Humans are dependent on the valuable …
the fields of medical science and energy resources. Humans are dependent on the valuable …
A Short‐Term Solar Photovoltaic Power Optimized Prediction Interval Model Based on FOS‐ELM Algorithm
G Ramkumar, S Sahoo… - International Journal …, 2021 - Wiley Online Library
Solar energy conversion efficiency has improved by the advancement technology of
photovoltaic (PV) and the involvement of administrations worldwide. However …
photovoltaic (PV) and the involvement of administrations worldwide. However …
An unconventional approach for analyzing the mechanical properties of natural fiber composite using convolutional neural network
Over the past few years, natural fiber composites have been a strategy of rapid growth. The
computational methods have become a significant tool for many researchers to design and …
computational methods have become a significant tool for many researchers to design and …
Reconstructing the photoacoustic image with high quality using the deep neural network model
The range of diagnostic equipment has been widened and improved by the quick
development of biomedical research technologies. The creation of multifunctional …
development of biomedical research technologies. The creation of multifunctional …
An Efficient Object Detection and Classification from Restored Thermal Images based on Mask RCNN
E Thenmozhi, A Karunakaran… - … Conference on I …, 2022 - ieeexplore.ieee.org
In recent years, thermal cameras are extensively employed in several industries, including
biometrics, intelligent surveillance, and health monitoring. The thermal cameras' exorbitant …
biometrics, intelligent surveillance, and health monitoring. The thermal cameras' exorbitant …
COVID-19 Identification and Detection from CT-Images using AI Based Ensemble Model
The corona virus infection 2019 (COVID-19) has already reached every corner of the globe,
leaving many areas with insufficient access to medical supplies. When contrasted to the RT …
leaving many areas with insufficient access to medical supplies. When contrasted to the RT …
Underwater image color correction via color channel transfer
Underwater images often reveal color distortion and poor visibility due to light propagation in
water being affected by the selective absorption and scattering of suspended particles. This …
water being affected by the selective absorption and scattering of suspended particles. This …
Underwater image re-enhancement with blend of simplest colour balance and contrast limited adaptive histogram equalization algorithm
G Mageshwari, M Chandralekha… - … on Advancement in …, 2023 - ieeexplore.ieee.org
A trial has been made for a technique for the enhancement and restoration of underwater
images. To resolve this a fusion algorithm that consists of a simple color balance algorithm …
images. To resolve this a fusion algorithm that consists of a simple color balance algorithm …