Targeted Oncology

Machine Learning Model May Optimize Treatment Selection and Survival in HCC

A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through ...
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 ...

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 ...
IEEE

Penalty Removal Search Algorithm for Distributed Optimization of Nonconvex Functions in Economic Dispatch

Abstract: Nonconvexity is a usually overlooked factor in economic dispatch (ED). Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall ...
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 ...