Results 211 to 220 of about 646,279 (275)

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Deep learning assessment of street spatial quality in old residential communities of Wuchang, Wuhan, China. [PDF]

Sci Rep
Guo Z, Xu H, Lin Q, Li X.
europepmc   +1 more source

From In‐Silico Optimized Microfabrication to Experimental Validation: Engineering a Tridimensional Epi‐Intraneural Interface

Advanced Functional Materials, EarlyView.
An epi‐intraneural interface is developed through in silico optimization and a novel tridimensional microfabrication pipeline. The device integrates penetrating and epineural contacts on a flexible substrate. Mechanical, electrochemical, and in vivo testing in rat and pig reveal robust implantation, low‐threshold activation, and site‐dependent ...
Federico Ciotti, Andrea Cimolato, Noemi Gozzi, Pietro Palopoli, Luca Brugnoli, Natalija Katic Secerovic, Rebecca Gallivan, Alexander Shokurov, Carlo Menon, Johannes Weichart, Ignacio Delgado‐Martinez, Weiguo Song, Stavros Zanos, Xavier Navarro, Stanisa Raspopovic   +14 more
wiley   +1 more source

Chronic Stress Segregates Mice into Distinct Behavioral Phenotypes Based on Glucocorticoid Sensitivity. [PDF]

Int J Mol Sci
Ritter P, Salman R, Ryabushkina Y, Bondar N.   +3 more
europepmc   +1 more source

Benchmarking Sparse Variable Selection Methods for Genomic Data Analyses. [PDF]

Stat Med
Kollipara HSS, Maiti T, Chakraborty S, Sinha S.   +3 more
europepmc   +1 more source

Unveiling population structure in South Pacific albacore: insights from genetics and growth. [PDF]

Sci Rep
Lu D, Lin Q, Wu F, Zhu J, Zhang F.
europepmc   +1 more source

Comparative Evaluation of Advanced Chunking for Retrieval-Augmented Generation in Large Language Models for Clinical Decision Support. [PDF]

Bioengineering (Basel)
Gomez-Cabello CA, Prabha S, Haider SA, Genovese A, Collaco BG, Wood NG, Bagaria S, Forte AJ.   +7 more
europepmc   +1 more source

Efficient construction of Markov state models for stochastic gene regulatory networks by domain decomposition. [PDF]

BMC Bioinformatics
Yousefian M, Frank AS, Weber M, Röblitz S.   +3 more
europepmc   +1 more source

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Adaptive Cluster Sampling

Graph Sampling, 2021
While conducting a sample survey, a number of difficult sampling problems are encountered. One of them is the problem in estimating the population mean/total when it is rare or geographically uneven. If the population of interest is hidden or elusive, then it becomes difficult to identify it for sampling.
Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra   +3 more
semanticscholar   +4 more sources

Inverse Adaptive Cluster Sampling

Advanced Sampling Methods, 2021
When the population under study is homogeneous with respect to the characteristic of interest then the traditional method such as SRSWR/SRSWOR can be used to estimate the population parameters. But if the population under study is rare and clustered then the use of these sampling methods may lead to poor estimates of the population parameters.
Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra   +3 more
openaire   +2 more sources