IEEE

SCAFNet: A Semantic Compensated Adaptive Fusion Network for Remote Sensing Images Change Detection

Abstract: Current CNN–Transformer hybrid methods for remote sensing change detection aim to address the limitations of the CNNs’ constrained receptive fields and the Transformers’ local detail ...
Telegram

Spencer Hilligoss Launches ParentFlare Parenting Platform Following CNN Feature on Modern Fatherhood

New parenting platform offers real-time tools to help families manage everyday challenges, strengthen connection, and share the mental load at home. Parenting rarely breaks down during big milestones.
IEEE

Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset

Abstract: This article presents a novel CNN-RNN based approach, which exploits multiple CNN features for dimensional emotion recognition in-the-wild, utilizing the One-Minute Gradual-Emotion ...
IEEE

Deep Features Based on Contrastive Fusion of Transformer and CNN for Semantic Segmentation

Abstract: The development of safe and adaptive autonomous vehicles (AVs) requires perception models that are accurate and interpretable, while also capable of adapting to dynamic environments.
IEEE

A Multi-Layered Security Framework for NIfTI Images Using CNN Feature Extraction, Arnold Scrambling and DWT Watermarking

Abstract: The wide accumulation of digitized medical images, especially in 3D formats such as NIfTI, has become a significant threat to data integrity, privacy and secure sharing. This paper proposes ...
Clayton News

CNN Is Set for Trump-Friendly New Owners: How Jake Tapper & Tony Dokoupil Reacted

Earlier that day, WBD said that Paramount’s latest bid, up from $30 to $31 per share, was better than Netflix’s previous offer. Netflix later announced it would not match the offer and would instead ...
IEEE

Unsupervised Learning Approach for Polycystic Ovary Syndrome Diagnosis Through CNN Feature Extraction and Clustering Algorithms

Abstract: Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder affecting women of reproductive age, and early detection is critical for effective management. In this study, we performed ...
IEEE

Hybrid Deep Learning for Malaria Detection: YOLOv5 Object Detection and CNN-Based Classification in Mobile Microscopy

Abstract: Malaria continues to be one of the most brutal global health threats, mainly among low-resource areas where conventional diagnosis (i.e., microscopy) is operator-dependent and yields blurry ...
IEEE

Atrial Fibrillation Detection Using FFT Magnitude Spectrum of PPG Signal with 1D CNN

Abstract: Atrial fibrillation (AF) is a major contributor to heart failure and stroke, emphasising the need for accurate and accessible detection methods, particularly for outpatient and low-resource ...