Results 191 to 200 of about 159,141 (247)
This study shows that a local, data‐driven AI model can accurately predict diverse optical and chiroptical properties of [6]helicenes using information from close structural neighbours. Combined with genetic algorithms, it enables inverse design for tailored properties, establishing practical structure–property rules for efficient molecular discovery ...
Rafael G. Uceda +8 more
wiley +1 more source
Dual module- wider and deeper stochastic gradient descent and dropout based dense neural network for movie recommendation. [PDF]
C K R, K C S, C K S.
europepmc +1 more source
Programmable RNA N6,2´‐O‐Dimethyladenosine Editing
ABSTRACT N6,2’‐O‐dimethyladenosine (m6Am) is a prevalent RNA modification located at the first transcribed nucleotide adjacent to the 5′ cap of mRNAs, where it has been implicated in gene regulation. However, the lack of methods for precise, transcript‐specific manipulation of m6Am has limited its functional dissection.
Yang Li +9 more
wiley +1 more source
Pruning tree forest and re-sampling for class imbalanced problem. [PDF]
Faiz N +5 more
europepmc +1 more source
A physics‐based compact model for Conductive‐Metal‐Oxide/HfOx ReRAM, accounting for ion dynamics, electronic conduction, and thermal effects, is presented. Accurate and versatile simulations of analog non‐volatile conductance modulation and memory state stabilization enable reliable circuit‐level studies, advancing the optimization of neuromorphic and ...
Matteo Galetta +9 more
wiley +1 more source
Non-invasive full quantification of dynamic [11C]PBR28 PET imaging with ASTRA
Brusaferri L +20 more
europepmc +1 more source
Genetically Optimized Modular Neural Networks for Precision Lung Cancer Diagnosis: Exploratory Study of Novel Approach. [PDF]
Agrawal VL +5 more
europepmc +1 more source
Organic Thin‐Film Transistors for Neuromorphic Computing
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy +2 more
wiley +1 more source
physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks. [PDF]
Chen M, Zhang Y, Ye Y, Lu Y.
europepmc +1 more source

