IEEE

Deep Learning for Aerial and Satellite Image Analysis: a CNN-Based Approach

Abstract: Applications like disaster management, urban planning, and environmental monitoring rely on satellite image categorization. This project develops a machine learning pipeline using ...
IEEE

Deep Learning-Driven Diagnosis of Polycystic Ovary Syndrome (PCOS): A High-Accuracy CNN-Based Approach

Abstract: Women of reproductive age are frequently affected by PCOS, a common endocrine condition that frequently results in infertility and metabolic issues. This work uses a dataset of 44 clinical ...
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

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 ...
IEEE

A Comprehensive Analysis of CNN-Based Deep Learning Models: Evaluating the Impact of Transfer Learning on Model Accuracy

Abstract: This paper conducts a comprehensive analysis of Convolutional Neural Network (CNN)-based deep learning models, focusing on the impact of transfer learning on their accuracy. Multiple ...