Results 11 to 20 of about 2,791,166 (373)
Entropy, 2022 Deep learning, in general, was built on input data transformation and presentation, model training with parameter tuning, and recognition of new observations using the trained model.
Eyad Alsaghir +3 more
doaj +1 more source
Frontiers in Physiology, 2020 The Hodgkin-Huxley model of the squid giant axon has been used for decades as the basis of many action potential models. These models are usually communicated using just a list of equations or a circuit diagram, which makes them unnecessarily complicated
Christopher Schölzel +4 more
doaj +1 more source
Quality, Understandability and Reliability of YouTube Videos on Skin Cancer Screening
Journal of Cancer Education, 2023 In 2008, a nationwide skin cancer screening (SCS) program was implemented in Germany. However, participation rates remain low. YouTube videos on SCS might educate eligible persons to undergo SCS.
L. Reinhardt +4 more
semanticscholar +1 more source
Journal of Clinical Sleep Medicine (JCSM), 2023 The Internet is a common source of sleep information but may be subject to commercial bias and misinformation. We compared the understandability, information quality, and presence of misinformation of popular YouTube videos on sleep to videos with ...
R. Robbins +11 more
semanticscholar +1 more source
Readability and Understandability Scores for Snippet Assessment: an Exploratory Study [PDF]
Workshops on Software Visualization, Evolution and Maintenance, 2021 Code search engines usually use readability feature to rank code snippets. There are several metrics to calculate this feature, but developers may have different perceptions about readability.
C. Dantas, M. Maia
semanticscholar +1 more source
Nephrology, 2023 It remains undetermined whether online education videos for Japanese patients with chronic kidney disease (CKD) are easy to understand and allow adoption of behavioural changes.
E. Furukawa +6 more
semanticscholar +1 more source
Improving understandability of feature contributions in model-agnostic explainable AI tools
International Conference on Human Factors in Computing Systems, 2022 Model-agnostic explainable AI tools explain their predictions by means of ’local’ feature contributions. We empirically investigate two potential improvements over current approaches.
Sophia Hadash +3 more
semanticscholar +1 more source
An Empirical Validation of Cognitive Complexity as a Measure of Source Code Understandability [PDF]
International Symposium on Empirical Software Engineering and Measurement, 2020 Background: Developers spend a lot of their time on understanding source code. Static code analysis tools can draw attention to code that is difficult for developers to understand.
Marvin Muñoz Barón +2 more
semanticscholar +1 more source
speech understandability of repaired cleft palate patients pre and post caregiver training
Indian Journal of Plastic Surgery, 2007 Background: Treating speech and language problems in repaired cleft palate patients in india is still an uphill task due to lack of facilities. this study attempted to use parents as team members for the speech management of cleft palate patients in ...
L jobe andrea +2 more
doaj +3 more sources
semantic edition, literary heritage, social networks, cognitive strategy, social practice
Виртуальная коммуникация и социальные сети, 2023 Reverse machine translation can be used to identify the degree of readability of the source text because intelligibility correlates with translatability.
Galina V. Napreenko, Kristina V. Ertel
doaj +1 more source