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Covid-19 face mask detection using TensorFlow, Keras and OpenCV
COVID-19 pandemic has rapidly affected our day-to-day life disrupting the world trade and
movements. Wearing a protective face mask has become a new normal. In the near future …
movements. Wearing a protective face mask has become a new normal. In the near future …
Cytology image analysis techniques toward automation: systematically revisited
Cytology is a branch of pathology that deals with the microscopic examination of cells for
diagnosis of carcinoma or inflammatory conditions. In the present work, the term cytology is …
diagnosis of carcinoma or inflammatory conditions. In the present work, the term cytology is …
Devnet: an efficient cnn architecture for handwritten devanagari character recognition
The writing style is a unique characteristic of a human being as it varies from one person to
another. Due to such diversity in writing style, handwritten character recognition (HCR) …
another. Due to such diversity in writing style, handwritten character recognition (HCR) …
ByteNet: Rethinking multimedia file fragment classification through visual perspectives
Multimedia file fragment classification (MFFC) aims to identify file fragment types, eg,
image/video, audio, and text without system metadata. It is of vital importance in multimedia …
image/video, audio, and text without system metadata. It is of vital importance in multimedia …
[HTML][HTML] Wind turbine fault detection using highly imbalanced real SCADA data
Wind power is cleaner and less expensive compared to other alternative sources, and it has
therefore become one of the most important energy sources worldwide. However …
therefore become one of the most important energy sources worldwide. However …
An intelligent approach for Arabic handwritten letter recognition using convolutional neural network
Z Ullah, M Jamjoom - PeerJ Computer Science, 2022 - peerj.com
Currently, digital transformation has occurred in most countries in the world to varying
degrees, but digitizing business processes are complex in terms of understanding the …
degrees, but digitizing business processes are complex in terms of understanding the …
A comparative analysis of converters of tabular data into image for the classification of Arboviruses using Convolutional Neural Networks
Tabular data is commonly used in business and literature and can be analyzed using tree-
based Machine Learning (ML) algorithms to extract meaningful information. Deep Learning …
based Machine Learning (ML) algorithms to extract meaningful information. Deep Learning …
GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images
In the present work, we have explored the potential of Copula-based ensemble of CNNs
(Convolutional Neural Networks) over individual classifiers for malignancy identification in …
(Convolutional Neural Networks) over individual classifiers for malignancy identification in …
[HTML][HTML] Beach state recognition using argus imagery and convolutional neural networks
Nearshore morphology is a key driver in wave breaking and the resulting nearshore
circulation, recreational safety, and nutrient dispersion. Morphology persists within the …
circulation, recreational safety, and nutrient dispersion. Morphology persists within the …
Surgical skill evaluation from robot-assisted surgery recordings
Quality and safety are critical elements in the performance of surgeries. Therefore, surgical
trainees need to obtain the required degrees of expertise before operating on patients …
trainees need to obtain the required degrees of expertise before operating on patients …