Results 211 to 220 of about 165,068 (255)
Instrumentation Digital Twins in PET and SPECT Imaging: Current Status, Challenges, and Future Directions. [PDF]
Azimi MS +7 more
europepmc +1 more source
Device‐Level Implementation of Reservoir Computing With Memristors
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley +1 more source
Penalized Estimation in Finite Mixtures of Multivariate Regression Models via the EM-PGM Algorithm. [PDF]
Kang H, Shin S.
europepmc +1 more source
High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger +3 more
wiley +1 more source
Integrated single marker scanning and sparse Bayesian learning improves performance of detection for GWAS. [PDF]
Zhang J +7 more
europepmc +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
APDCA: An accurate and effective method for predicting associations between RBPs and AS-events during epithelial-mesenchymal transition. [PDF]
He Y, Bai ZJ, Ching WK, Zou Q, Qiu Y.
europepmc +1 more source
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
Sparse Canonical Correlation Analysis for Multiple Measurements With Latent Trajectories. [PDF]
Senar N, Zwinderman AH, Hof MH.
europepmc +1 more source

