Unveiling Cardiac Patterns: Exploring the Efficacy of ECG-CNN Model in Heartbeat Classification Across Diverse Arrhythmias
S Sharma, D Upadhyay - 2024 2nd International Conference …, 2024 - ieeexplore.ieee.org
In This research paper introduces a robust deep learning model, ECG-CNN, designed for
heartbeat categorization. Leveraging a meticulously curated dataset encompassing diverse …
heartbeat categorization. Leveraging a meticulously curated dataset encompassing diverse …
An Ensemble Deep Learning Framework for Binary Classification of COVID-19 Cases Using the VGG16 (Visual Geometry Group 16) Architecture: A Comprehensive …
D Upadhyay, M Gupta, S Mishra… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
This paper presents a novel approach to deep learning by putting forth a cooperative system
that uses the VGG16 architecture to categorise COVID-19 examples into two groups. Our …
that uses the VGG16 architecture to categorise COVID-19 examples into two groups. Our …
Automated Weapon Detection Using Inception-v3: A CNN Approach
M Gupta, N Banka, S Narang… - … on Integrated Circuits …, 2024 - ieeexplore.ieee.org
In today's world, the biggest threat to mankind is that of terrorism and governments all
around the globe are facing hardships to cater to this menace. With the advancement of the …
around the globe are facing hardships to cater to this menace. With the advancement of the …
Sequential Pattern Analysis of Emotion in Speech With LSTM
D Upadhyay, A Tiwari, H Niathani - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Automatic speech emotion recognition poses great challenges due to the large differences
between acoustic properties and human perception. its performance relies on a variety of …
between acoustic properties and human perception. its performance relies on a variety of …
Implementation of Pruned and Quantized Semantic Segmentation Neural Network Using Cambridge-Driving Labeled Video Database (CamVid) Dataset
In This research investigates the streamlined implementation of Semantic Segmentation
Neural Networks through advanced techniques: pruning and quantization. Leveraging the …
Neural Networks through advanced techniques: pruning and quantization. Leveraging the …
Comparative Analysis of VGG19 and ResNet50 V2 for Enhanced Brain Tumor Detection
S Fulara, D Upadhyay, KB Sharma… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
This paper compares the performance of two most common deep learning models
ResNet50 V2 and VGG19 when using medical imaging for brain tumour detection. Even …
ResNet50 V2 and VGG19 when using medical imaging for brain tumour detection. Even …