IEEE

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
CNBC

AI startup Replit launches feature to vibe code mobile apps

Replit's new feature allows users to create publishable and monetizable mobile apps using only natural language prompts. As more vibe-coding products come online, some software companies could see one ...
VentureBeat

Claude Code just got updated with one of the most-requested user features

Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format ...
GitHub

A compact Python project for building retrieval-augmented generation (RAG) flows and producing agentic reports. It includes utilities for data extraction, transformation ...

Below are small examples and expected outputs to help you get started. Replace the commands with python if your environment maps python to Python 3. Run the app and check the start-up logs ...
IEEE

A Band-Enhanced Tensor-Based Multi-Band SAR Feature Extraction Method for Land Cover Classification

Abstract: Current multi-band SAR feature extraction methods often fail to adequately exploit intra-band details and inter-band spectral relationships, limiting their classification performance. To ...