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The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
(
Elsevier
, 2023 , Article)
IntroductionHER-2/neu is a protein present on the surface of specific cancer cells and has been linked to the development and progression of certain cancer types. It is present in 15 to 20% of breast cancers and is clinically ...
Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters
(
Elsevier
, 2023 , Article)
According to UNESCO's Atlas of the World's Languages in Danger, 40% of the languages today are counted as endangered in the future. Indigenous languages are endangered because of the less availability of interactive learning ...
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
(
Elsevier
, 2019 , Article)
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to technical, security, and public safety issues that need to be addressed, regulated and prevented. Security agencies are in continuous ...
GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults
(
IEEE
, 2024 , Article)
Electrical and mechanical equipment with rotating parts often face the challenge of early breakdown due to defects in the gears or rolling bearings. Automated industrial systems can be significantly impeded by this type ...
Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source
(
Academic Press
, 2023 , Article)
Reverberations are unavoidable in enclosures, resulting in reduced intelligibility for hearing impaired and non-native listeners and even for the normal hearing listeners in noisy circumstances. It also degrades the ...
Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization
(
Elsevier ltd
, 2024 , Article)
The inherent volatility in electricity prices exerts a significant impact on the dynamic nature of the electricity market, shaping the decision-making processes of its stakeholders. Precise Electricity Price Forecasting ...
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
(
Springer Nature
, 2024 , Article)
Tuberculosis (TB) is a chronic infectious lung disease, which caused the death of about 1.5 million people in 2020 alone. Therefore, it is important to detect TB accurately at an early stage to prevent the infection and ...