The latest study published in Engineering has unveiled a groundbreaking approach to advancing green ethylene manufacturing, with profound implications for global sustainable chemical production.
Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...
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 ...
College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
Large-scale language models (LLMs) have advanced the field of artificial intelligence as they are used in many applications. Although they can almost perfectly simulate human language, they tend to ...
Abstract: Gradient variance errors in gradient-based search methods are largely mitigated using momentum, however the bias gradient errors may fail the numerical search methods in reaching the true ...
disposable pipette extraction; DPX; phthalate esters; organophosphorus pesticides; organochlorine pesticides; endocrine disruptor compounds The process of extraction by DPX is simple and fast, being ...
Abstract: In this paper, we apply robust optimizers (i. e. the simplex method and the genetic algorithm) to rectangular ridged waveguide filter design. We extend the use of the simplex method to the ...
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