This repo contains all my Deep Learning semester work, including implementations of FNNs, CNNs, autoencoders, CBOW, and transfer learning. I explored TensorFlow, Keras, PyTorch, and Theano while ...

The evolving regulatory landscape has increasingly recognized the value of real-world data (RWD) in enhancing drug safety surveillance across the clinical development lifecycle. Enabled by frameworks ...

The region, known as the South Atlantic Anomaly, has grown by an area nearly half the size of continental Europe, sprouting a lobe in the direction of Africa where the field is weakening the fastest.

Abstract: Anomalies in gas pipeline systems, such as undetected small leaks, are often the primary triggers of major failures that impact operational safety and the environment. Early detection of ...

We showcase a novel unsupervised learning method with a Convolutional Variational Autoencoder (CVAE) model that can automatically classify and cluster different types ...

WASHINGTON — True Anomaly, a defense-focused space technology startup based in Colorado, hired satellite industry executive Sarah Walter as chief operating officer, the company announced Sept. 2. The ...

A comprehensive Python-based machine learning solution for detecting anomalies in multivariate time series data from industrial IoT sensors. This solution identifies abnormal behavior patterns and ...

Introduction: Recent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to ...