Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.
Ferns, defined by large genomes, high chromosome counts, and pervasive aneuploidy as well as intraspecific polyploid complexity, diverge significantly from the classical genetic theories and ...
Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.
Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...
Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...
New treatments based on biological molecules like RNA give scientists unprecedented control over how cells function. But ...
Bacterial sensory systems represent a dynamic and rapidly evolving area at the intersection of molecular microbiology and biochemistry, where recent ...
Termites did not evolve complex societies by adding new genetic features. Instead, scientists found that they became more ...
Artificial intelligence allows tracing the evolution of genetic control elements in the developing mammalian cerebellum.
Cancer doesn’t evolve by pure chaos. Scientists have developed a powerful new method that reveals the hidden rules guiding how cancer cells gain and lose whole chromosomes—massive genetic shifts that ...
Abstract: Exoskeletons can boost human strength and provide assistance to individuals with physical disabilities. However, ensuring safety and optimal performance in their design poses substantial ...
Multi-Factorial Evolutionary Algorithm With Online Transfer Parameter Estimation (MFEA-II) in Python
This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...
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