Results 161 to 170 of about 1,068,320 (275)

Learning structured population models from data with WSINDy. [PDF]

PLoS Comput Biol
Lyons R, Dukic V, Bortz DM.
europepmc   +1 more source

Adoption of Machine Learning Techniques to Perform Secondary Studies: A Systematic Mapping Study for the Computer Science Field

, 2019
Leonardo Cairo, Glauco de Figueiredo Carneiro, Bruno C. da Silva   +2 more
openalex   +1 more source

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

Corrigendum to "From detection to grading: A hybrid KOA-YOLOv5-RF model for knee osteoarthritis diagnosis" [MethodsX, Volume 15, December 2025, 103725]. [PDF]

MethodsX
Perumalsamy M, Govindarajan P, Bran R, Kp AK, Jyothi NV, Batumalay M.   +5 more
europepmc   +1 more source

Study of IA methods in data analytics (machine learning / deep learning) to improve the content of computer science MOOCs and contribution to the design of the FUN (France Université Numérique) data processing chain

Sergio Simonian
openalex   +1 more source

Machine Learning in Medical Imaging (Lecture Notes in Computer Science 8184)

Machine Learning in Medical Imaging (Lecture Notes in Computer Science 8184)
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

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

MS-YieldStackNet: multi-source data fusion for wheat yield estimation using a stacked ensemble neural network. [PDF]

PeerJ Comput Sci
Ali W, Ramzan Z, Shahbaz M, Bhutta QUZ, Talha M, J AlGhamdi M.   +5 more
europepmc   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Mung bean seed classification based on multimodal features and Kepler-optimized stacking ensemble learning model. [PDF]

PLoS One
Song S, Leng F, Fang M, An X, Cai Y.
europepmc   +1 more source