GitHub

Claude Code Ultimate Guide

6 months of daily practice distilled into a guide that teaches you the WHY, not just the what. From core concepts to production security, you learn to design your own agentic workflows instead of copy ...
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 ...
GitHub

ConvNeXt-Tiny Multimodal Model for Glioma IDH Mutation and Ki-67 Prediction

The code implements the main computational workflow described in the manuscript, including MRI preprocessing, radiomics feature extraction, ConvNeXt-Tiny multi-task learning, patient-level deep ...
MIT Technology Review

Anthropic’s Code with Claude showed off coding’s future—whether you like it or not

As tools like Claude Code get better, more and more developers are happy to hand off coding tasks to them. The way software gets built has changed for good. The vibes were strong at Code with Claude, ...
IEEE

Emotion Classification Through Speech Recognition Using LSTM Model and MFCC Feature Extraction

Abstract: In an era where human-machine interaction is becoming increasingly important, the ability to understand emotions can enhance user experience across various applications, such as customer ...