IEEE

Explainable Brain Tumor Classification using CNN and GradCAM

Abstract: One of the most critical neurological conditions is Brain tumors, timely and correct diagnosis is needed for effective treatment. Advances in neuroimaging technology such as MRI, limitations ...
GitHub

Reliability-Oriented Evaluation of Deep Traffic Sign Classification Models

The experiments evaluate clean GTSRB classification performance, multi-seed training stability, bootstrap confidence intervals, McNemar paired statistical testing, probabilistic calibration, ...
GitHub

TensorFlow Lite Micro Library for Arduino

This is a port of the TensorFlow Lite Micro Library to the Arduino platform, aimed at enabling Tiny Machine Learning (TinyML) experiments on all Arduino boards with mbed or ESP32 architecture. Tested ...
IEEE

An Uncertainty-Aware and Explainable Feature-Fusion DenseNet for Cotton Leaf Disease Classification Using Monte Carlo Dropout and Grad-CAM

Abstract: The accurate and reliable identification of diseases in cotton leaves is crucial for improving crop productivity and preventing excessive pesticide usage. Although deep convolutional neural ...