PCMag

Most Kids Don't Learn Cybersecurity in School. Here Are 5 Ways You Can Teach It

Kids may be digital natives, but that doesn't mean they understand online risks. Here are five practical tips to start building cybersecurity skills at home.
IEEE

Federated Edge Learning with Hybrid CNN-Transformers for Secure, High-Accuracy Face Recognition in Resource-Constrained IoT Systems

Abstract: Traditional face recognition systems struggle to balance accuracy, privacy, and computational efficiency in IoT environments. This work addresses these challenges by proposing a novel ...

AI Researcher Mahfuz Islam Khan Jabed Advances Ethical, Explainable AI for Workforce and Healthcare Applications

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
IEEE

A Verified Synergistic Deep Learning Framework for Copyrighted Character Recognition Using CNN and Transformer Integration

Abstract: In this paper, we proposed a novel deep learning framework, the Synergistic Deep Learning Model, for recognizing copyrighted characters with heightened accuracy and minimized overfitting.

How to Watch CNN’s ‘Disaster: The Chernobyl Meltdown’ Docuseries Online Without Cable

We breakdown how to watch the new docuseries with Sling, and the best ways to stream CNN's Disaster: The Chernobyl Meltdown online. What is Chernobyl?
IEEE

Diagnosis of Major Depressive Disorder with High Suicide Risk Using Slow-wave Sleep Electroencephalograms by TCFM-CNN

Abstract: Emerging evidence indicates that major depressive disorder (MDD) with high suicide risk (MDDHSR) exhibits significant abnormalities in slow-wave sleep (SWS). However, the diagnostic ...
IEEE

Explainable Deep Learning Framework for Brain Tumor Segmentation Using Hybrid CNN-Transformer Architecture

Abstract: Precise and automatic brain tumor segmentation from multi-modal MRI is a vital neuro-oncology task for assisting early diagnosis and treatment planning. In this work, a novel hybrid deep ...
IEEE

A Hybrid CNN-Transformer Knowledge Transfer Technique for Lightweight Skin Lesion Classification using Dermoscopic Image

Abstract: Using dermoscopic images for the classification of skin lesion is crucial for early skin cancer detection, but resource limitations hinder complex deep learning model applications in ...
IEEE

A Critical Analysis of PCOS Detection using Machine Learning and CNN: Challenges and Future Directions

Abstract: Polycystic Ovary Syndrome is an endocrine disorder that affects most of the young women. It often results in infertility and many other long-term health complications in most cases. The aim ...
IEEE

Optimized CNN for Tomato Leaf Disease Detection Using Spatial Attention and Feature Aggregation

Abstract: Spatial attention is an important concept for feature suppression and for focusing on the main context of an image vector. This sort of attention can be applied in the initial convolution, ...
IEEE

Integrative Spectral-Graph Learning With CNN Features for the Classification of Circle of Willis Anatomical Variants

Many cerebrovascular diseases are related to morphological variations in the Circle of Willis (CoW), an arterial network located at the base of the brain. Early detection of these structural ...