Results 201 to 210 of about 229,093 (263)

Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review

Advanced Materials, EarlyView.
Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase, Varsha C. Pujari, Akash V. Fulari, Sunil M. Patange, Sean Li, Danyang Wang, Sagar E. Shirsath   +6 more
wiley   +1 more source

Radiologist Perceptions of an AI Tool for Intracranial Hemorrhage Detection in Teleradiology: Cross-Sectional Survey Study. [PDF]

JMIR Hum Factors
Del Gaizo AJ, Del Gaizo JK, Shahoumian TA.   +2 more
europepmc   +1 more source

Online supervised learning of temporal patterns in biological neural networks under feedback control. [PDF]

Proc Natl Acad Sci U S A
Sono Y, Yamamoto H, Nishi Y, Sumi T, Sato Y, Hirano-Iwata A, Katori Y, Sato S.   +7 more
europepmc   +1 more source

SafeCodeRL: Security-Constrained Multi-Agent Reinforcement Learning for Trustworthy LLM-Generated IoT/CPS Software. [PDF]

Sensors (Basel)
Wang Z, Chen J, Wei Z, Lin L, Tong G.
europepmc   +1 more source

Self-Referenced and Wide-Range Tunable Microwave Frequency Measurement Using Period-One Oscillation and Spectral Gating. [PDF]

Sensors (Basel)
Yang Z, Liu Z, Dong W.
europepmc   +1 more source

Actionable Feedback on Signal-to-Background Ratios During Drop-in Radioguided Surgery. [PDF]

J Nucl Med
Cakal BA, Pirkovets K, Ottens VA, Zuur L, Sinaasappel M, Gandaglia G, Briganti A, van der Poel HG, van Leeuwen PJ, van Leeuwen FWB.   +9 more
europepmc   +1 more source

Small disturbance oscillation suppression strategy for doubly-fed wind turbine based on joint control of LADRC and AQPR. [PDF]

Sci Rep
Li C, Liang C, Zhang J, Liu R, Huang C, Zhang S, Zhang S.   +6 more
europepmc   +1 more source

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Output feedback neurolinearization

ISA Transactions, 2001
Output-feedback neurolinearization as a new method in model independent input/output linearization has been developed. In this method input-output linearization is done only based on the input-output data of the system. The performance of this new method is compared to the global linearizing control (GLC) and to a conventional PI controller.
R B, Boozarjomehry, W Y, Svrcek
openaire   +2 more sources