Geedge Networks, a company with ties to the founder of China’s mass censorship infrastructure, is selling its censorship and ...

This back-to-school season, the conversation is not just about devices or apps, but about how technology and innovation ...

Deep learning model deploy with Django Executive Summary This project is a Django-REST API that offers the consumption of a deep learning model using a simple front end. The model adopted in this work ...

Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis The following represents disclosure information ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

Deep learning-based recommender systems are widely utilised in domains such as e-commerce. Yet there are limited studies that explore recommendation systems for expert and speciality needs such as ...

These methods diminish computational charges and boost model stability by overfitting limitations, especially for deep learning-based steganalysis applications. Choosing optimal features across ...

Objective: To develop a deep learning (DL) model for carotid plaque detection based on CTA images and evaluate the clinical application feasibility and value of the model. Methods: We retrospectively ...

This research introduces a novel deep learning model based on OMT and multimode tensor SVD to predict molecular markers using international multicenter datasets. Our approach efficiently compresses ...

Deep learning is an AI method that layers machine learning algorithms to recognize complex patterns in data and make accurate predictions. Learn the full meaning here.