IEEE

Covariance Fitting Interferometric Phase Linking: Modular Framework and Optimization Algorithms

Abstract: Interferometric phase linking (IPL) has become a prominent technique for processing images of areas containing distributed scatterers in SAR interferometry. Traditionally, IPL consists in ...
The CPA Journal

Automating Data Analysis with Python Dashboards

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...
GitHub

XWSystem: The All-in-One Python Library You've Been Waiting For

XWSystem is the enterprise-grade Python framework that replaces 50+ dependencies with AI-powered performance optimization, military-grade security, 24 serialization formats, automatic memory leak ...

Frequent Updates to AI Algorithms: How Can GEO Adapt to Change with Stability? 5 Key Risk Mitigation Optimization Strategies

When creating content, prioritize the comprehensiveness of the topic over the repetition of a single keyword. Utilize generative AI tools (like DeepSeek) to expand the semantic range of content, ...
IEEE

Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...
C&EN

Cone-Shaped Constrained Quasi-Newton Method: Efficient and Robust Single-Ended Transition State Optimization Algorithm

State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Center for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...
GitHub

Professional AI Prompt Optimization, Debugging, and Sharing Platform

The AI Prompt Optimization Platform is a professional tool designed to help users optimize prompts for AI models, enhancing AI conversation effectiveness and response accuracy. The platform integrates ...