[Retracted] PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID‐19 with Multiple‐Way Data Augmentation
Aim. COVID‐19 has caused large death tolls all over the world. Accurate diagnosis is of
significant importance for early treatment. Methods. In this study, we proposed a novel …
significant importance for early treatment. Methods. In this study, we proposed a novel …
Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed
A Kumar, G Vashishtha, CP Gandhi, H Tang… - … applications of artificial …, 2021 - Elsevier
Automatic identification of bearing and rotor defects, when operated at varying speed is
challenging. To make this challenging task possible, a tacho-less deep learning model is …
challenging. To make this challenging task possible, a tacho-less deep learning model is …
Handwritten Arabic character recognition for children writing using convolutional neural network and stroke identification
Automatic Arabic handwritten recognition is one of the recently studied problems in the field
of Machine Learning. Unlike Latin languages, Arabic is a Semitic language that forms a …
of Machine Learning. Unlike Latin languages, Arabic is a Semitic language that forms a …
Researching public health datasets in the era of deep learning: a systematic literature review
Objective: Explore deep learning applications in predictive analytics for public health data,
identify challenges and trends, and then understand the current landscape. Materials and …
identify challenges and trends, and then understand the current landscape. Materials and …
[PDF][PDF] A comprehensive overview of handwritten recognition techniques: a survey
S Ali, M Abdulrazzaq - J. Comput. Sci, 2023 - researchgate.net
Deep learning and deep neural networks, particularly Convolutional Neural Networks
(CNNs), are rapidly growing areas of machine learning and are currently the primary tools …
(CNNs), are rapidly growing areas of machine learning and are currently the primary tools …
Bangla handwritten character and digit recognition using deep convolutional neural network on augmented dataset and its applications
H Huda, MAI Fahad, M Islam… - 2022 16th International …, 2022 - ieeexplore.ieee.org
Bangla Handwritten digit and character recognition, a complex computer vision problem that
is important for the Bengali language as the progress in this segment for the Bengali …
is important for the Bengali language as the progress in this segment for the Bengali …
A time efficient offline handwritten character recognition using convolutional extreme learning machine
ABSTRACT The Extreme Learning Machine (ELM) has sparked a lot of attention since it can
learn fast and be applied to various problems. In this study, a convolutional layer-based …
learn fast and be applied to various problems. In this study, a convolutional layer-based …
Using convolutional neural networks to build a lightweight flood height prediction model with grad-cam for the selection of key grid cells in radar echo maps
YC Chen, TY Chang, HY Chow, SL Li, CY Ou - Water, 2022 - mdpi.com
Recent climate change has brought extremely heavy rains and widescale flooding to many
areas around the globe. However, previous flood prediction methods usually require a lot of …
areas around the globe. However, previous flood prediction methods usually require a lot of …
CALText: Contextual attention localization for offline handwritten text
Recognition of Arabic-like scripts such as Persian and Urdu is more challenging than Latin-
based scripts. This is due to the presence of a two-dimensional structure, context-dependent …
based scripts. This is due to the presence of a two-dimensional structure, context-dependent …
Manuscripts character recognition using machine learning and deep learning
MA Islam, IE Iacob - Modelling, 2023 - mdpi.com
The automatic character recognition of historic documents gained more attention from
scholars recently, due to the big improvements in computer vision, image processing, and …
scholars recently, due to the big improvements in computer vision, image processing, and …