Deep ensemble models for speech emotion classification
This research article proposes two deep ensemble models, namely the Deep Cascaded
Ensemble (DCE) and Deep Parallel Ensemble (DPE) for automatic speech emotion …
Ensemble (DCE) and Deep Parallel Ensemble (DPE) for automatic speech emotion …
[PDF][PDF] An Efficient DenseNet for Diabetic Retinopathy Screening.
SC Pravin, SPK Sabapathy, S Selvakumar… - International Journal of …, 2023 - academia.edu
This study aims to propose a novel deep learning framework, ie, efficient DenseNet, for
identifying diabetic retinopathy severity levels in retinal images. Diabetic retinopathy is an …
identifying diabetic retinopathy severity levels in retinal images. Diabetic retinopathy is an …
Machine learning and IoT-based automatic health monitoring system
Abstract The Internet of things (IoT) has made healthcare applications more accessible to
the rest of the globe. On a wide scale, IoT has been employed to interconnect therapeutic …
the rest of the globe. On a wide scale, IoT has been employed to interconnect therapeutic …
LabVIEW Based Anomaly Detection for Screening Diabetic Retinopathy
Diabetic Retinopathy (DR) affects significant amount of people with acute diabetes. DR is
initially asymptomatic; however, if left untreated, it can lead to low vision and visual …
initially asymptomatic; however, if left untreated, it can lead to low vision and visual …