IEEE

Asymmetric Mamba–CNN Collaborative Architecture for Large-Size Remote Sensing Image Semantic Segmentation

Large-size remote sensing images contain rich geographical information. Efficient and accurate semantic segmentation of these images is of significant importance in various fields. However, the ...
IEEE

Probabilistic Forecasting for Battery Health Estimation Using CNN-LSTM on Augmented Multi-Operation Data

Abstract: Ensuring the safety and reliability of electric vehicles and energy storage systems requires an effective evaluation of lithium-ion battery State of Health (SOH). Most current methods are ...
IEEE

Early Detection of Paddy Disease and Severity Based Classification Using Variants of CNN - A Step Towards Smart Agriculture

Abstract: Agriculture is the backbone of India, and in the southern region, paddy is the main crop, grown twice a year. Over the years, paddy fields have been affected by different diseases, out 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

Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model

Abstract: Wearable cuffless blood pressure (BP) technology is emerging as a critical tool for monitoring hypertension, the leading risk factor of most cardiovascular diseases. However, current ...
IEEE

SAFH-Net: A Hybrid Network With Shuffle Attention and Adaptive Feature Fusion for Enhanced Retinal Vessel Segmentation

Abstract: Segmenting retinal blood vessels is critical for the early detection of retinal abnormalities. While significant progress has been achieved in vessel segmentation through deep learning ...
IEEE

MCBL-UNet: A Hybrid Mamba-CNN Boundary Enhanced Light-weight UNet for Placenta Ultrasound Image Segmentation

Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...
IEEE

Secure Spread Spectrum Image Steganography Using a CNN-Based Learned Detector

Abstract: Spread Spectrum Image Steganography (SSIS) represents a promising approach for embedding secret data into a cover image. In conventional methods, a pseudo-noise (PN) sequence functions as a ...
CNN

How to avoid getting into trouble when using AI at work

Love it or hate it, AI is increasingly becoming integral to the way we work. So, like a lot of employees, you’ve started using it for your assignments. That’s great – unless you’re not clear on what ...
IEEE

Enhanced Cervical Cancer Cell Detection Using CNN Transfer Learning with Strategic Layer Freezing

Abstract: Cervical cancer remains a leading cause of cancer-related mortality among women, particularly in regions with limited access to early and accurate diagnostics. This study explores the use of ...
CNN

Trump says US knocked out ‘big facility’ as part of Venezuela campaign

President Donald Trump said the United States took out a “big facility” last week as part of a pressure campaign against Venezuela but provided few additional details on the action. “We just knocked ...
IEEE

Dual-Mamba: A Hybrid CNN-Mamba Architecture for Tumor Segmentation from 3D Medical Images

Accurate tumor segmentation in 3D medical images is essential for early cancer diagnosis and treatment. Despite the significant potential of deep learning-based segmentation methods, the morphological ...