IEEE

Battery Life Prediction Model Based on Deep Learning

Abstract: We propose a an innovative battery life prediction method, CBA, which is based on generative adversarial network (GAN) framework. First, the paper extracts key features from the battery data ...
Frontiers

Lightweight CNN for accurate brain tumor detection from MRI with limited training data

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...
IEEE

Layer-Specific Hardware Pooling Designs for CNN Accelerators

Abstract: This paper proposes and explores the impact of using Combinatorial Pooling techniques - the combination of widely used Max pooling and SOTA Deviation based pooling techniques such as ...
Hosted on MSN

CNN Architecture Explained — Layer By Layer

In this video, we will understand the complete CNN Architecture. A CNN architecture represents the design of the CNN. CNN architecture consists of Convolutional Layers, Pooling Layers, and fully ...
IEEE

A 1-D CNN Inference Engine for Constrained Platforms

Abstract: 1D-CNNs are used for time series classification in various domains with a high degree of accuracy. Most implementations collect the incoming data samples in a buffer before performing ...