IEEE

A Deep Learning Framework for Network Intrusion Detection Using hybrid CNN-BiGRU-Multi-Head Attention model

Abstract: This paper describes a fresh IDS framework that utilizes CNN and BiGRU and Multi-Head Attention techniques to develop an improved deep learning approach for network protection from changing ...
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.
IEEE

Real-Time Fall Detection With Hybrid CNN-LSTM Using IWR6843AOP FMCW Radar

Abstract: Falls are a leading health risk for the elderly, highlighting the need for accurate and unobtrusive monitoring systems. Traditional camera-based approaches often raise privacy concerns, ...
IEEE

A Comparative Study for Yemeni Poets Detection Using TEXT-CNN and RNN-LSTM Text Classification

Abstract: The growing prevalence of internet usage has led to a substantial capacity in textual data. Text classification is an essential field in natural language processing (NLP). It differs in ...
IEEE

Spatio-Temporal Deep Neural Modelling for Climate Anomaly Detection using CNN-LSTM Networks

Abstract: When it comes to studying environmental problems, it is growing increasingly vital to discover climatic anomalies and measure temperature changes, particularly in areas like Ethiopia, where ...
GitHub

A minimal, secure Python interpreter written in Rust for use by AI.

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
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

Design of an improved model for real-time fault detection and localization using hybrid transformer-CNN and graph neural networks

Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...
IEEE

Fully Perturbed Self-Ensemble Framework using Cascaded Parallel CNN-Transformer for Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
CNN

Landlines are ringing in homes again. Why parents are happy about that

Kara Alaimo is a professor of communication at Fairleigh Dickinson University and teaches parents, students and teachers how to manage screen time. Her book “Over the Influence: Why Social Media Is ...
Yahoo

‘My God, Use the Clicker’ Smerconish Stresses To His CNN Viewers They Need ‘Mixed Media Diet’

Add Yahoo as a preferred source to see more of our stories on Google. CNN’s Michael Smerconish stressed to his viewers the importance of a “mixed media diet” and told them to “use the remote” to ...
IEEE

IntelliMotion: Real-Time Hand Gesture and Pose Tracking Using OpenCV and MediaPipe

Abstract: Computer vision applications have been revolutionized by profound learning, which makes it conceivable to track human movement absolutely. An interesting hand signal and posture following ...