Computational modelling, I demonstrate, enables us to extend scholarly attention beyond canonical texts so as to consider more obscured or miscellaneous literature, ranging from surgical journals to midwifery m
Learn how MATLAB can help to predict future outcomes by creating predictive models using mathematical and computational methods. Approaches include curve and surface fitting, time-series regression, and machine learning.
The second part of the article reviews experimental work, informed by computational modelling of the mechanisms of working memory. I introduce an interference-based model of working memory, SOB-CS, and review experiments with complex-span tasks that test predictions from that model. The experiments ...
the scan can be imported into a 3D image processing software solution likeSynopsys Simplewareto be converted into a3D model. This involves the application of various filters and segmentation strategies to identify and label the regions of interest with high accuracy. Once the model is developed it ...
UML, short for Unified Modeling Language, is a standardized modeling language consisting of an integrated set of diagrams, developed to help system and software developers for specifying, visualizing, constructing, and documenting the artifacts of software systems, as well as for business modeling and...
Thus a systematic analysis is called for. Computational modelling provides a powerful framework for such an analysis. In fact, there have been remarkable advances in the development of mathematical models of glycosylation, supported by the detailed knowledge of the glycosylation pathways [71]. ...
Innatural language processing(NLP), topic modeling is atext miningtechnique that appliesunsupervised learningon large sets of texts to produce a summary set of terms derived from those documents that represent the collection’s overall primary set of topics.1Topic models specifically identify common key...
Computational modelling is proving useful to uncover the biophysical and molecular mechanisms that give rise to the liquid-like behaviour of chromatin [4]. In this opinion article, we survey the state-of-the-art in the field of computational modelling of chromatin with an emphasis on the newest...
Architectural technology is a vast discipline in itself. At present, innovations like Building Information Modelling (BIM), computational design, robotic fabrication, building performance analysis, and artificial intelligence dominate the discipline. Several topics of research are underway, exploring a futu...
Computational modelling revealed that this responsibility aversion was driven by the need to feel more certain about the decision. Having identified the specific cognitive components that discourage people from leading, Edelson and colleagues turned to the brain and found that those areas of the brain...