IEEE

Dual-Stage Feature Optimization: Fault Classification Combining Signal Decomposition and LightGBM

Abstract: To improve the fault diagnosis accuracy of synchronous condenser bearings, this study proposes an intelligent diagnostic method based on multi-domain feature fusion. First, vibration signals ...
blockchain

Claude Code Channels Launch: Daily Feature Delivery Signals New AI-Powered Dev Process – 5 Strategic Implications

According to Ethan Mollick on X, Anthropic released Claude Code channels, enabling users to control Claude Code sessions via Model Context Protocol integrations, starting with Telegram and Discord, ...
IEEE

Transformer-CNN Hybrid Architecture for Heart Disease Risk Stratification: Leveraging Self-Attention Mechanisms and Convolutional Feature Extraction

Abstract: Heart disease is the leading global cause of death, requiring accurate and interpretable prediction models. This thesis proposes a Transformer-CNN hybrid that integrates CNN local feature ...
KEYT

The world’s most valuable company just sent another signal that AI agents are going to be everywhere

(CNN) — Tech giant Nvidia, the world’s most valuable company and the poster child of the AI boom, is banking its future on the rise of AI agents. The company on Monday announced a slew of software and ...
IEEE

Feature Distribution-Based Touch Biometrics Using CNN and Siamese Networks

Abstract: Ensuring secure and user-friendly authentication is important as mobile devices increasingly handle sensitive data. Traditional methods like PINs, fingerprints, and facial recognition have ...
Geeky Gadgets

Claude Code Update Adds /btw Feature : Side Thread, Lowers Token Spend

Anthropic’s new /btw feature for Claude Code offers a structured way to manage multitasking within a single session. According to Nick Saraev, this feature enables users to address secondary tasks ...
Radio Free Europe/Radio Liberty

Random Numbers, Persian Code: A Mysterious Signal Transfixes Radio Sleuths -- And Intelligence Experts

The radio signal first started broadcasting on February 28, about 12 hours after the United States and Israel began bombing Iran. On a scratchy shortwave signal almost twice a day -- in the early ...
IEEE

Optimizing Code Feature Extraction and Classification using Random Forest Models on Abstract Syntax Trees

Abstract: The machine learning methods applied to code classification tasks that use Abstract Syntax Tree (AST) features has been explored in this study. The dataset includes parsed AST ...
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 ...
IEEE

Hybrid CNN-GRU Model for Seizure Detection Using EEG Biomedical Signal Data

Abstract: In the field of biomedicine, using electroencephalogram (EEG) statistics to locate epileptic seizures has grown to be an important area of research. The essential motive for that is that ...
IEEE

Enhanced Hybrid Deep Learning Model for Cybersecurity Threat Detection Using CNN-Bi-LSTM and Feature Optimization

Abstract: During the age of high-speed digital advancement, cyber threats increase not merely in numbers but also in complexity, threatening contemporary networks significantly. This article presents ...