Frontiers

Advancing Deep Learning Frameworks for Enhanced Cervical Cancer Diagnosis, Staging and Treatment

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

The best free AI courses and certificates for upskilling in 2026 - and I've tried them all

I've worked with AI for decades and have a master's degree in education. Here are the top free AI courses online that I recommend - and why.
IEEE

Deploying Deep Learning for Real-Time Tsunami Monitoring: A CNN-LSTM Model for Sensor-Based Prediction

Abstract: Early detection of tsunamis is essential for disaster risk reduction and minimizing loss of life. This research introduces an advanced deep learning-based tsunami detection model that ...
IEEE

Enhancing Semi-Supervised Brain Tumor Segmentation via Dual-Uncertainty Guided 2.5-D CNN–Transformer and Voxel-Wise Contrastive Learning

Abstract: Data annotation in medical image segmentation is time-consuming and expensive. Semi-supervised learning (SSL) presents a viable solution. However, unlike organ segmentation, current ...

IIT Madras Opens Admissions For 2nd Batch Of Applied AI & Deep Learning Programme

IITM Pravartak Technologies Foundation has announced admissions for the second batch of its Advanced Certificate in Applied ...
IEEE

A Comparative Analysis of CNN-based Deep Learning Models for Landslide Detection

Abstract: Landslides inflict substantial societal and economic damage, underscoring their global significance as recurrent and destructive natural disasters. Recent landslides in northern parts of ...
IEEE

Hybrid Deep Learning for Intrusion Detection in IIoT Networks: A CNN-LSTM-Attention Approach

Abstract: The Industrial Internet of Things (IIoT) provides an interconnected outline of devices and connected systems to the industrial and building sectors in order to accelerate operational ...
IEEE

Deep Transfer Learning Based on Hybrid Swin Transformers With LSTM for Intrusion Detection Systems in IoT Environment

Abstract: Extensive growth in the number of Internet Of Things (IoT) devices has significantly increased susceptibility to various cyber-attacks and hence emphasized the need for robust intrusion ...
IEEE

An Ensemble Deep Learning Model Using CNN, LSTM and Autoencoder for EEG-Based Parkinson’s Disease Classification

Abstract: Parkinson's disease is a neurological disorder hat effects the movements including shaking, stiffness, difficulty while walking and speaking. This condition will occur when the nerve cells ...
IEEE

Deep Learning for Skin Cancer Detection: Multi-Class Lesion Classification Using CNN Architecture

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
IEEE

Deep Learning for 5G Localization: Hybrid CNN-Transformer Approach in Accuracy Enhancement

Abstract: Accurate localization of user equipments (UEs) in 5G communication systems is critical for maintaining synchronization with the base stations and supporting emerging location-based services.
CNN

FEMA planning exercise envisioned deep workforce cuts, adding to uncertainty around agency’s future

Federal Emergency Management Agency leaders were told to prepare for a possible gutting of their workforce — by as much as half — in the coming months, according to an internal email sent to top FEMA ...