IEEE

A Hybrid Feature Extraction and Classification Framework for Depression Detection using Deep Learning and Machine Learning Techniques

Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
IEEE

De-Conformer: Integrated CNN and ViT Feature Fusion for Image Dehazing

Abstract: This paper presents De-Conformer, an advanced image dehazing framework that addresses critical limitations in existing approaches. While CNN-based methods often fail to preserve background ...
IEEE

SCFNet: A Swin-CNN Synergistic Fusion Network for Urban and Rural Water Extraction in Remote Sensing Images

Abstract: Accurate monitoring of water resources is essential for disaster risk reduction and sustainable development amid global climate change. At present, various methods based on convolutional ...
IEEE

Investigating SAR Data Denoising: A Comparative Analysis of CNN Models with Multi-Channel Signal Processing Features

Abstract: This paper investigates the necessity for denoising in Synthetic Aperture Radar (SAR) dataset, emphasizing the comparison of three distinct neural networks: U-Net, ResNet, and DeepDeblur.
Science Daily

Breakthrough optical processor lets AI compute at the speed of light

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
CNN

Dress Codes: From saintly to sexy, why we wear lace

EDITOR’S NOTE: Examining clothes through the ages, Dress Codes investigates how the rules of fashion have influenced different cultural arenas — and your closet. In a windowless room at the ...
IEEE

FCTFANet: A Fused CNN-Transformer Feature Aggregator Network for Image Restoration

Abstract: Convolutional neural networks (CNNs) have been foundational in deep learning architectures for image processing, and recently, Transformer networks have emerged, bringing further ...
IEEE

Ensemble Data Extraction from Image Documents: A Comparison of Heuristic, CNN-Based, and Transformer Architecture

Abstract: Enterprises often maintain large volumes of scanned documents and images that contain critical data vital for driving organizational growth and success. In the finance sector, for example, ...
IEEE

Mixed Intrusion Vibration Signal Recognition Based on Fiber Bragg Grating and RL-KAN-CNN

Abstract: Fiber Bragg Grating (FBG) sensing systems have demonstrated strong potential for distributed vibration monitoring, yet recognizing mixed intrusion events remains challenging due to the ...