Covid-19 face mask detection using TensorFlow, Keras and OpenCV

A Das, MW Ansari, R Basak - 2020 IEEE 17th India council …, 2020 - ieeexplore.ieee.org
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 …

Cytology image analysis techniques toward automation: systematically revisited

S Mitra, N Das, S Dey, S Chakraborty… - ACM Computing …, 2021 - dl.acm.org
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 …

Devnet: an efficient cnn architecture for handwritten devanagari character recognition

R Guha, N Das, M Kundu, M Nasipuri… - International Journal of …, 2020 - World Scientific
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) …

ByteNet: Rethinking multimedia file fragment classification through visual perspectives

W Liu, K Wu, T Liu, Y Wang, KH Yap… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

[HTML][HTML] Wind turbine fault detection using highly imbalanced real SCADA data

C Velandia-Cardenas, Y Vidal, F Pozo - Energies, 2021 - mdpi.com
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 …

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 …

A comparative analysis of converters of tabular data into image for the classification of Arboviruses using Convolutional Neural Networks

L Medeiros Neto, S Rogerio da Silva Neto, PT Endo - Plos one, 2023 - journals.plos.org
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 …

GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images

S Dey, S Mitra, S Chakraborty, D Mondal… - Computers in biology …, 2023 - Elsevier
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 …

[HTML][HTML] Beach state recognition using argus imagery and convolutional neural networks

AN Ellenson, JA Simmons, GW Wilson, TJ Hesser… - Remote Sensing, 2020 - mdpi.com
Nearshore morphology is a key driver in wave breaking and the resulting nearshore
circulation, recreational safety, and nutrient dispersion. Morphology persists within the …

Surgical skill evaluation from robot-assisted surgery recordings

A Soleymani, AAS Asl, M Yeganejou… - … on Medical Robotics …, 2021 - ieeexplore.ieee.org
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 …