Results 71 to 80 of about 255,237 (315)
An adaptive enhancement method based on stochastic parallel gradient descent of glioma image
IET Image Processing, 2023 Brain tumour diagnosis is significant for both physicians and patients, but the low contrast and the artefacts of MRI glioma images always affect the diagnostic accuracy.
Hongfei Wang +5 more
doaj +1 more source
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Intelligent Learning Algorithms for Active Vibration Control [PDF]
, 2007 YesThis correspondence presents an investigation into the comparative performance of an active vibration control (AVC) system using a number of intelligent learning algorithms.
Dahal, Keshav P. +2 more
core +1 more source
MathematicsThis paper presents a set of survey-style notes linking core themes of pure algebra with central topics in algebraic and analytic number theory. We begin with finite extensions of Q and describe algebraic number fields through their realization as finite-
Miroslav Stoenchev +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Data-Flow Algorithms for Parallel Matrix Computations [PDF]
, 1985 In this article the authors develop some algorithms and tools for solving matrix problems on parallel processing computers. Operations are synchronized through data-flow alone, which makes global synchronization unnecessary and enables the algorithms to ...
Dianne P. O’Leary +3 more
core
Parallel Function Optimisation Using Evolutionary Algorithms and Deterministic Neighbourhood Search [PDF]
, 2011 Modern computer hardware provides massive computational power by parallelism. However, many of the existing algorithms and frameworks are optimised for sequential execution and are not capable to be parallelised or do not scale well on complex parallel ...
Zgeras, Ioannis +2 more
core +1 more source
Parallel Evolutionary Optimization Algorithms for Peptide-Protein Docking
EPJ Web of Conferences, 2018 In this study we examine the possibility of using evolutionary optimization algorithms in protein-peptide docking. We present the main assumptions that reduce the docking problem to a continuous global optimization problem and provide a way of using ...
Poluyan Sergey, Ershov Nikolay
doaj +1 more source
High-speed detection of emergent market clustering via an unsupervised parallel genetic algorithm
South African Journal of Science, 2016 We implement a master-slave parallel genetic algorithm with a bespoke log-likelihood fitness function to identify emergent clusters within price evolutions.
Dieter Hendricks +2 more
doaj +1 more source
A GPU‐based real‐time processing system for frequency division multiple‐input‐multiple‐output radar
IET Radar, Sonar & Navigation, 2023 Multiple‐Input‐Multiple‐Output (MIMO) radar has the characteristic of multiple antenna channels, bringing on a big data volume for signal processing. Therefore, the trade‐off between detection ability and computational efficiency is always considered. In
Gaogao Liu +6 more
doaj +1 more source