The aim of this paper is to present a new method to compare histograms. The main advantage is that there is an important time-complexity reduction with respect to the methods presented before. This reduction is
A subfield of computer science that focuses on the design, development, use and evaluation of computer-based systems, applications, and algorithms that mimic cognitive processes usually associated with human intelligence. The origins of the field of clinical informatics were in the field of artificial...
We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with...
terms and concepts can be open to different interpretations. The Big Data domain is no different. This chapter examines the different definitions of “Big Data” which have emerged over the last number of years to label
Computer Science - Data Structures and AlgorithmsPhysics - Physics and SocietyWe introduce and formulate two types of random-walk domination problems in graphs motivated by a number of applications in practice (e.g., item-placement problem in online social network, Ads-placement problem in ...
This consensus provides standardized definitions for bifurcation lesions; the criteria to judge the side branch relevance; the procedural, mechanistic, and clinical endpoints for every type of bifurcation study; and the follow-up methods. Considering the complexity of bifurcation lesions and their ...
algorithms relies on the selected features which could be not the right ones to be discriminated between classes [1]. In particular, DL is a good approach to eliminate the long process of ML algorithms and follow a more automated manner. Figure1shows the difference between both DL and ML ...
The complexity, dimensions, and units of each field. The minimum and maximum value of each field if the field represents a tunable parameter value. The shape of the entire structure. Theshapeof the structure is the number, names, and hierarchy of fields. ...
algorithms that integrate MRI data with clinical symptoms and physical examination findings to improve the prediction of clinically significant OA,” she said. “Additionally, machine learning and artificial intelligence methods could help enhance the precision and predictive power of these MRI...
adhering to data standards and addressing bias. There should be privacy design principles that protect customer and employee data along with intellectual property. Explainability and transparency should offer insight into how algorithms are applied, enabling comprehension of operational impacts while maintainin...