Post-modern portfolio theory uses downside risk to refine portfolio optimization. Learn how PMPT offers an alternative to modern portfolio theory for risk-adjusted returns.
Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...
Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Abstract: In this letter, we propose a hyperparameter optimization method for adaptive filtering based on deep unrolling, termed the deep unrolling affine projection (DAP) algorithm. The core idea is ...
How do you optimize to have content featured in AI? Whether it’s ChatGPT, Google Gemini, Meta’s LLaMa, Grok, Microsoft’s Claude, or Perplexity AI, the challenge is understanding how these systems ...
Introduction: Cardiovascular disease (CVD) is a leading global cause of death, necessitating the development of accurate diagnostic models. This study presents an Optimized Rough Set Theory-Machine ...
Intrusion detection has been of prime concern in the Internet of Things (IoT) environment due to the rapid increase in cyber threats. Majority of traditional intrusion detection systems (IDSs) rely on ...
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