IEEE

Code Vulnerability Repair with Large Language Model Using Context-Aware Prompt Tuning

Abstract: Large Language Models (LLMs) have shown significant challenges in detecting and repairing vulnerable code, particularly when dealing with vulnerabilities involving multiple aspects, such as ...
InfoWorld

I ran Qwen3.5 locally instead of Claude Code. Here’s what happened.

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.
IEEE

GPS/UWB Tightly Coupled Vehicle Cooperative Positioning Based on AOO-CNN- BiGRU-Attention Model

Abstract: Accurate relative positioning is essential for the deployment of an intelligent transportation system. However, in complex environments such as urban canyons and tunnels, the global ...
IEEE

SkinScanNet: A CNN-Based Model with Explainable AI for Reliable and Transparent Skin Cancer Detection

Abstract: Early and accurate detection of skin cancer, particularly melanoma, is critical for improving survival rates and treatment outcomes. This study introduces SkinScanNet, a CNN-based deep ...
IEEE

A CNN-iTransformer Spatiotemporal Fusion Model for Long-Term eLoran Propagation Prediction

Abstract: The accurate prediction of propagation delay is imperative for enhancing the timing precision of eLoran systems. In this letter, a hybrid deep learning framework that integrates spatially ...
IEEE

DOH Detection Model Based on CNN-BILSTM-Hierarchical Attention and Reptile Meta-Learning

Abstract: With the increasing adoption of DNS-over-HTTPS (DoH), its encrypted nature enhances privacy protection but simultaneously poses significant challenges for detecting DoH tunnel traffic.

Beyond Engineering And Math: How To Build A Career In AI As A Humanities Student?

Previously, coding demanded extensive software and mathematical knowledge. Today, languages like Python are as simple to learn as new languages like English or French.
IEEE

Time-Series Classification Using a CNN-LSTM Model with Attention, Autoencoder, and K-Fold Cross-Validation

Abstract: Here, we propose a hybrid Deep Learning (DL) framework consisting of a Denoising Autoencoder (DAE), Convolutional Neural Network (CNN), Bidirectional LSTM (BiLSTM), and a custom Attention ...
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 CNN-BiLSTM-Based Evaluation Model for Steady-State Bearing Fault Diagnosis Method

Abstract: Accurate identification of rolling bearing faults is essential for ensuring the reliability of rotating machinery. This study introduces an evaluation model based on a Convolutional Neural ...
EurekAlert!

With Evo 2, AI can model and design the genetic code for all domains of life

This illustration depics how Evo 2 learns the genetic language shared by all living things, from woolly mammoths to bacteria. The DNA foundation model Evo 2, first released in February 2025 as a ...
IEEE

Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection

Abstract: A common neurological condition that causes cognitive decline, particularly in older people, is Alzheimer's disease (AD). In order to improve patient treatment and minimize the progression ...