Advancements in Machine Learning for Microrobotics in Biomedicine
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi+6 more
wiley +1 more source
An <i>Intranet</i> of Things approach for adaptable control of behavioral and navigation-based experiments. [PDF]
Bowler JC+7 more
europepmc +1 more source
Vcfexpress: flexible, rapid user-expressions to filter and format VCFs. [PDF]
Pedersen BS, Quinlan AR.
europepmc +1 more source
Optimizing hospital length of stay and bed allocation using a fuzzy stochastic transportation problem framework with lomax distribution. [PDF]
Kalpanapriya DD, Bhavana P.
europepmc +1 more source
Advanced computational approaches for predicting sunflower yield: Insights from ANN, ANFIS, and GEP in normal and salinity stress environments. [PDF]
Khalifani S+5 more
europepmc +1 more source
Reconfigurable Sequential-Logic-in-Memory Implementation Utilizing Ferroelectric Field-Effect Transistors. [PDF]
Niu J, Kim D, Li J, Lyu J, Lee Y, Lee S.
europepmc +1 more source
Cross-Platform Ecological Momentary Assessment App (JTrack-EMA+): Development and Usability Study.
Sahandi Far M+8 more
europepmc +1 more source
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Logic programs as types for logic programs
[1991] Proceedings Sixth Annual IEEE Symposium on Logic in Computer Science, 2002Optimistic type systems for logic programs are considered. In such systems types are conservative approximations to the success set of the program predicates. The use of logic programs to describe types is proposed. It is argued that this approach unifies the denotational and operational approaches to descriptive type systems and is simpler and more ...
Thom Frühwirth+3 more
openaire +2 more sources