Results 101 to 110 of about 278,982 (258)
Multivariate Analysis of Ecological Data using CANOCO: Preface
Jan Lepš, P. Šmilauer
semanticscholar +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
[Preface to the Special Issue on 'Pragmatic Cardiovascular Imaging']. [PDF]
Lee J.
europepmc +1 more source
Orthogonal Polynomials of Several Variables: Preface to the Second Edition
C. Dunkl, Yuan Xu
semanticscholar +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Preface: Celebrating the work and achievements of Joachim Stöhr. [PDF]
Eisebitt S, Dürr H, Lüning J.
europepmc +1 more source
[Date] November 28 (Mon) - December 2 (Fri), 2011: [Place] Kyoto University Clock Tower Centennial Hall, Kyoto ...
openaire
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Anais Brasileiros de Dermatologia. Beginning a new five-year term, 2026-2030. [PDF]
Almeida HL.
europepmc +1 more source
KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation
A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature extraction and fusion with very few parameters. A dual‐teacher collaborative knowledge distillation framework is proposed.
Baotian Li +4 more
wiley +1 more source

