Results 241 to 250 of about 91,388 (321)

Cross-site harmonization of diffusion MRI data without matched training subjects. [PDF]

Magn Reson Med
De Luca A, Swartenbroekx T, Seelaar H, van Swieten J, Cetin Karayumak S, Rathi Y, Pasternak O, Jiskoot L, Leemans A.   +8 more
europepmc   +1 more source

Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach

Advanced Intelligent Systems, EarlyView.
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera, Sanmeel Lagad, Rolf Müller   +2 more
wiley   +1 more source

High-Precision Calibration Technology and Experimental Verification for Dual-Axis Laser Communication Systems. [PDF]

Sensors (Basel)
Li W, Zhang X, Zhang L, Wei X, Luo G, Zhang P, Xue Z.   +6 more
europepmc   +1 more source

An efficient algorithm for multipole energies and derivatives based on spherical harmonics and extensions to particle mesh Ewald. [PDF]

J Chem Phys, 2014
Simmonett AC, Pickard FC, Schaefer HF, Brooks BR.   +3 more
europepmc   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

What If Each Voxel Were Measured With a Different Diffusion Protocol? [PDF]

Magn Reson Med
Coelho S, Lemberskiy G, Zhu A, Lee HH, Abad N, Foo TKF, Fieremans E, Novikov DS.   +7 more
europepmc   +1 more source

A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images

Advanced Intelligent Systems, EarlyView.
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai, Li Li, Shanqing Zhang, Ting Luo, Chin‐Chen Chang   +4 more
wiley   +1 more source

The origin and properties of higher-order near- and far-field modes in plasmonic metal nano-rods. [PDF]

Sci Rep
Tepe HU.
europepmc   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Steady bubbles and drops in inviscid fluids. [PDF]

Calc Var Partial Differ Equ
Meyer D, Niebel L, Seis C.
europepmc   +1 more source