IEEE

Photonic Convolutional Neural Networks Using Integrated Diffractive Optics

Abstract: With recent rapid advances in photonic integrated circuits, it has been demonstrated that programmable photonic chips can be used to implement artificial neural networks. Convolutional ...
GitHub

transfer-learning-with-cnn

A Deep Learning Humerus Bone Fracture Detection Model which classifies a broken humerus bone X-ray image from a normal X-ray image with no fracture using Back Propagation, Regularization, ...
GitHub

Rotation-Invariant Coordinate Convolutional Neural Network

In this paper, we propose a Rotation-Invariant Coordinate Convolution (RIC-C), which achieves natural invariance to arbitrary rotations around the input center without additional trainable parameters ...
IEEE

A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks

Abstract: Deep learning has revolutionized computer vision and image classification domains. In this context Convolutional Neural Networks (CNNs) based architectures and Deep Neural Networks (DNNs) ...

Bengaluru research uses AI to hunt cervical cancer risk years before diagnosis

Patent-holder’s Work Focuses On Detecting Precancerous Changes, Not Established Disease ...
Frontiers

Data-centric review of multimodal emotion recognition: datasets, feature extraction, data fusion and limitations

These comprise approaches for domain adaptability and adversarial learning. This classification illustrates how consistency is preserved in advanced MER models even using limited datasets. This review ...