Machine learning approaches can be broadly divided into unsupervised and supervised learning methods90,91,92(Box2). In unsupervised learning, the goal is to find structure in unlabelled data (for example, to gr
Rigorous record-keeping and quality control are required to ensure the quality, reproducibility and value of imaging data. The 4DN Initiative and BINA here propose light Microscopy Metadata Specifications that extend the OME Data Model, scale with experimental intent and complexity, and make it possibl...
aHigh rates 高速率 [translate] aピーチスキン (pichisukin) [translate] a你 才值得我拥有 You only then are worth me having [translate] aWe need to find methods of dealing with the complexity, so that we can, 我们需要发现方法应付复杂,因此我们能, [translate] ...
These techniques are based on different principles, and how to effectively exploit their advantages to address intrusion detection tasks in particular domains remains an open research question. Moreover, due to the high dimensionality and complexity of the data, a common solution is to use data ...
reducing operational complexity and allowing for lightweight financial reconciliation. This enables you to develop standardised processes for typical operations such as fulfilment, customer support, and refunds. And, because Stripe abstracts away the complexity of dealing with each payment method provider, ...
As it is stated in Section 3.3, given the complexity of data sources, uniform patterns do not always exist across the entire dataset and specific patterns only fit in certain parts of the data at certain time. So, it is necessary for data mining algorithms to learn using the surrounding ...
general-purpose classifiers. the performance of the methods is evaluated using 27 publicly available single-cell rna sequencing datasets of different sizes, technologies, species, and levels of complexity. we use 2 experimental setups to evaluate the performance of each method for within dataset ...
(Fig.6a) shows a separation of particles between the two major conformations, which correspond to the Hybrid(GDP+Pi) and Chimeric(GDP) states that were originally separated by 3D classification15(Fig.6b). We also find that 3DFlex delineates the conformational change between the major Hybrid(...
All tissues demonstrate some level of spatial complexity in their structure and/or composition. Tissue heterogeneity can potentially be recapitulated using emerging bioprinting techniques. Many soft biological tissues derive much of their mechanical strength from complex collagen networks; this hybrid configura...
How to publish in this journal sproessig@math.tu-freiberg.de Scope Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- va...