VOLTAGE: A versatile contrastive learning based OCR methodology for ultra low-resource scripts through auto glyph feature extraction
UNESCO has classified 2500 out of 7000 languages spoken worldwide as endangered.
Attrition of a language leads to loss of traditional wisdom, folk literature, and the essence of …
Attrition of a language leads to loss of traditional wisdom, folk literature, and the essence of …
An enhanced model for detecting and classifying emergency vehicles using a generative adversarial network (GAN)
M Shatnawi, M Bani Younes - Vehicles, 2024 - mdpi.com
The rise in autonomous vehicles further impacts road networks and driving conditions over
the road networks. Cameras and sensors allow these vehicles to gather the characteristics …
the road networks. Cameras and sensors allow these vehicles to gather the characteristics …
Fire Detection in Urban Areas Using Multimodal Data and Federated Learning
Fire chemical sensing for indoor detection of fire plays an essential role because it can
detect chemical volatiles before smoke particles, providing a faster and more reliable …
detect chemical volatiles before smoke particles, providing a faster and more reliable …
Research on seawater dissolved oxygen prediction model based on improved generative adversarial networks
Y Chen, H Zhang, C Xu, Q Zhu, M Cai, J Yuan - Ocean Modelling, 2024 - Elsevier
The prediction of dissolved oxygen (DO) concentration in seawater is a mixed multivariate
time series measurement task that is affected by many factors. In order to timely understand …
time series measurement task that is affected by many factors. In order to timely understand …
Spectral Data Augmentation Using Deep Generative Model for Remote Chemical Sensing
J Son, HJ Byun, M Park, J Ha, H Nam - IEEE Access, 2024 - ieeexplore.ieee.org
The critical role of a remote chemical sensing using a Fourier Transform Infrared (FT-IR)
spectrometer has been emphasized for detecting lethal chemicals in the atmosphere. To …
spectrometer has been emphasized for detecting lethal chemicals in the atmosphere. To …
Advancing IoT Security through Federated Learning: A Comprehensive Approach
IoT devices have changed into one of the mainstays in areas like houses, industry and
education, resulting in a level of convenience and efficiency that has never been achieved …
education, resulting in a level of convenience and efficiency that has never been achieved …
Automated Optical Inspection for Quality Control in PCBA assembly lines: a case study for Point of Sale Devices Production Lines
K Aras, SS Saif, A Giuseppi… - … Congress on Human …, 2024 - ieeexplore.ieee.org
This paper reports on the design and development of a customized Automated Optical
Inspection (AOI) solution aimed at detecting defects in a production line related to the correct …
Inspection (AOI) solution aimed at detecting defects in a production line related to the correct …
Synthetic Data Generation and Handling Data Imbalance for Mobile Financial Transactions
A Mohapatra, A Kumar, B Kumar… - 2024 IEEE 13th …, 2024 - ieeexplore.ieee.org
It is always challenging to get the financial transaction data due to the data privacy issue.
This research paper presents an approach for detecting financial fraud using machine …
This research paper presents an approach for detecting financial fraud using machine …
CNN and Random Forest Hybrid Model for Tea Leaf Diseases Multiclassification
M Raj, P Jha, MG Magar… - … Conference on Automation …, 2024 - ieeexplore.ieee.org
Tea leaf diseases constitute extremely hazardous to global tea production, impacting the
final goods quantity as well as its quality. The paper includes an in-depth review of the …
final goods quantity as well as its quality. The paper includes an in-depth review of the …
GAN-based data augmentation for the classification of remote sensing multispectral images
FS Argüello Pedreira, V Barreiro, D Blanco Heras… - minerva.usc.es
Multispectral images frequently suffer from limited labeled data, which constrains the
accuracy of classification. The objective of data augmentation is to improve the performance …
accuracy of classification. The objective of data augmentation is to improve the performance …