Hybrid Observer and Genetic Algorithm Cut Simulated Induction Motor Speed Tracking Errors
Researchers developed a hybrid observer and multi-objective optimization framework that cut simulated motor speed tracking errors by over sixty percent.
Researchers developed a hybrid observer and multi-objective optimization framework that cut simulated motor speed tracking errors by over sixty percent.
A normative ethical–legal analysis proposes a measure-specific framework to prevent psychiatric authorisation cascades, requiring separate justification and review for distinct ...
Researchers have conducted an integrative characterization of a wild plum population on Mount Erciyes, combining morphological measurements, biochemical profiling, and ...
A simulation study in Genetics Selection Evolution reveals that machine learning models outperform standard linear genomic prediction only when traits ...
A case report demonstrates how contrast-enhanced magnetic resonance imaging characterizes the anatomical location and inflammatory features of an infected preauricular ...
Published in the journal Geothermal Energy, the study outlines a participatory monitoring approach where citizens use plug-and-play seismometers to actively ...
A multi-benchmark electroencephalography study reveals that complementary leaky integrate-and-fire spiking decoders provide substantial classification advantages over continuous networks when calibration ...
A case report documents cytomegalovirus retinitis following golidocitinib therapy in a lymphoma patient where undetectable plasma viral DNA delayed ocular ...
A systematic review of 18 diagnostic studies finds that multivariable fatty liver prediction models for patients with type 2 diabetes ...
Researchers established a repeatable musculoskeletal ultrasound protocol that detected reduced muscle dimensions and diminished pain in dogs treated with photobiomodulation.
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine