A hybrid deep learning model to predict the impact of COVID-19 on mental health from social media big data
The novel coronavirus disease (COVID-19) pandemic is provoking a prevalent
consequence on mental health because of less interaction among people, economic …
consequence on mental health because of less interaction among people, economic …
[HTML][HTML] An in-depth analysis of Convolutional Neural Network architectures with transfer learning for skin disease diagnosis
Low contrasts and visual similarity between different skin conditions make skin disease
recognition a challenging task. Current techniques to detect and diagnose skin disease …
recognition a challenging task. Current techniques to detect and diagnose skin disease …
Performance analysis of state of the art convolutional neural network architectures in Bangla handwritten character recognition
Bangla handwritten character recognition is a popular research topic as its difficulty is higher
than the recognition of other languages because of multiple formats of compound …
than the recognition of other languages because of multiple formats of compound …
BengaliNet: a low-cost novel convolutional neural network for Bengali handwritten characters recognition
Featured Application Optical Character Recognition for Handwritten Bengali Numerals,
Basic and Compound Characters. Abstract As it is the seventh most-spoken language and …
Basic and Compound Characters. Abstract As it is the seventh most-spoken language and …
An attention-based mood controlling framework for social media users
In this digital age, social media is an essential part of life. People share their moments and
emotions through it. Consequently, detecting emotions in their behavior can be an effective …
emotions through it. Consequently, detecting emotions in their behavior can be an effective …
Autoencoder based consensus mechanism for blockchain-enabled industrial internet of things
Conventional blockchain technologies developed for cryptocurrency applications involve
complex consensus algorithms which are not suitable for resource constrained Internet of …
complex consensus algorithms which are not suitable for resource constrained Internet of …
[PDF][PDF] Indonesian license plate detection and identification using deep learning
NR Adytia, GP Kusuma - International Journal of Emerging …, 2021 - academia.edu
License plate is the unique identity of the vehicle, which serves as proof of the legitimacy of
the operation of the vehicle in the form of a plate or other material with certain specifications …
the operation of the vehicle in the form of a plate or other material with certain specifications …
[PDF][PDF] Face mask detection using deep learning on NVIDIA Jetson Nano.
NFA Hassan, AA Abed… - International Journal of …, 2022 - faculty.uobasrah.edu.iq
In December 2019, the coronavirus pandemic started. Coronavirus desease-19 (COVID-19)
is transmitted directly from contaminated surfaces via direct touch. To combat the virus, a …
is transmitted directly from contaminated surfaces via direct touch. To combat the virus, a …
Hieroglyphs Language Translator using deep learning techniques (Scriba)
R Moustafa, F Hesham, S Hussein… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Egyptian hieroglyphs are symbols that are part of the ancient Egyptian writing system.
Hieroglyphs do not have a fixed writing direction, and a single glyph can have multiple …
Hieroglyphs do not have a fixed writing direction, and a single glyph can have multiple …
[PDF][PDF] Improved Javanese script recognition using custom model of convolution neural network.
Handwriting recognition in Javanese script is not widely developed with deep learning (DL).
Previous DL and machine learning (ML) research is generally limited to basic characters …
Previous DL and machine learning (ML) research is generally limited to basic characters …