Expert Intelligence Raises $4.7M Seed Round to Automate Expert Judgment in Regulated Labs

SANTA CLARA, CA / ACCESS Newswire / February 4, 2026 / Expert Intelligence™, a startup building AI systems that ...
The Cardiology Advisor

Deep Learning Model Can Predict Cardiopulmonary Disease in Retinal Images of Preterm Infants

A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.

Deep learning model can predict cardiopulmonary disease in retinal images of premature infants

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
IEEE

Hybrid Deep Learning Model: Weather Classification Using ResNet-50 and SVM

Abstract: Correct weather condition classification is crucial in intelligent applications such as autonomous cars, smart surveillance, and environmental monitoring. In this paper, a hybrid deep ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Scientific Research Publishing

Al-Qatf, M., Lasheng, Y., Al-Habib, M. and Al-Sabahi, K. (2018) Deep Learning Approach Combining Sparse Autoencoder with SVM for Network Intrusion Detection. IEEE Access, 6 ...

ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...
IEEE

The Utilization of SVM Algorithm and Deep Learning Methods to Identify Wild Animals

Abstract: Identifying wild animals and being aware of their presence may serve a variety of purposes, the most significant of which is addressing the issue of accidents and collisions between vehicles ...
Frontiers

BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals

School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai, India Introduction: In recent years, Deep Learning (DL) architectures such as Convolutional Neural Network (CNN) ...
Frontiers

Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set

Background: Diabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies ...