Comparative study of GuHCl denaturation of globular proteins. II. A phenomenological classification of denaturation profiles of 17 proteins

Biopolymers ◽  
1983 ◽  
Vol 22 (9) ◽  
pp. 2123-2132 ◽  
Author(s):  
Yoshio Saito ◽  
Akiyoshi Wada
Keyword(s):  
Comparative Study ◽  
Globular Proteins

scholarly journals CNN architecture comparison for radio galaxy classification

2021 ◽  
Vol 503 (2) ◽  
pp. 1828-1846
Author(s):  
Burger Becker ◽  
Mattia Vaccari ◽  
Matthew Prescott ◽  
Trienko Grobler
Keyword(s):  
Comparative Study ◽  
Galaxy Evolution ◽  
Radio Galaxy ◽  
Recognition Performance ◽  
Model Complexity ◽  
Great Promise ◽  
Radio Sources ◽  
Morphological Classification ◽  
Computational Performance

ABSTRACT The morphological classification of radio sources is important to gain a full understanding of galaxy evolution processes and their relation with local environmental properties. Furthermore, the complex nature of the problem, its appeal for citizen scientists, and the large data rates generated by existing and upcoming radio telescopes combine to make the morphological classification of radio sources an ideal test case for the application of machine learning techniques. One approach that has shown great promise recently is convolutional neural networks (CNNs). Literature, however, lacks two major things when it comes to CNNs and radio galaxy morphological classification. First, a proper analysis of whether overfitting occurs when training CNNs to perform radio galaxy morphological classification using a small curated training set is needed. Secondly, a good comparative study regarding the practical applicability of the CNN architectures in literature is required. Both of these shortcomings are addressed in this paper. Multiple performance metrics are used for the latter comparative study, such as inference time, model complexity, computational complexity, and mean per class accuracy. As part of this study, we also investigate the effect that receptive field, stride length, and coverage have on recognition performance. For the sake of completeness, we also investigate the recognition performance gains that we can obtain by employing classification ensembles. A ranking system based upon recognition and computational performance is proposed. MCRGNet, Radio Galaxy Zoo, and ConvXpress (novel classifier) are the architectures that best balance computational requirements with recognition performance.

Structure and Semantics of Tactile Verbs in a Comparative Aspect (On the Material of the English, German and Russian Languages)

2021 ◽  
pp. 58-63
Author(s):  
Yu. A. Sakhno
Keyword(s):  
Comparative Study ◽  
Semantic Features ◽  
Semantic Classification ◽  
Comparative Aspect ◽  
Similarities And Differences ◽  
The Comparative Study ◽  
Linguistic Units

This article deals with the study of the structural and semantic features of tactile verbs (hereinafter TVs) in English, German and Russian. Particular attention is paid to the comparative study of TVs, which allows us to identify structural and semantic similarities and differences of linguistic units studied. The structural and semantic classification of TVs in the compared languages is also provided.

Evaluating the Quality of Serious Games as Modern E-Learning Environments

2020 ◽  
pp. 206-221
Author(s):  
Yassine El Borji ◽  
Mohamed Khaldi
Keyword(s):  
Comparative Study ◽  
Learning Environments ◽  
Serious Games ◽  
Review Process ◽  
Research Effort ◽  
Learning Methods ◽  
E Learning ◽  
Specific Evaluation

This chapter focuses on aspects of the integration of serious games in the field of education by examining the quality of serious games intended to be integrated into education. This review process must take into account the coherence between all the aspects constituting the serious games as they are characterized by their diversity in terms of content and quality. By conducting a comparative study based on the various studies of evaluation and classification of serious games already carried out, the authors have focused their research effort in this chapter on the design of a tool for the evaluation of serious games quality intended to be used in the field of education. A tool that determines if the learning methods related to games are correlated with pedagogical aspects and contributes to the knowledge of serious games and promote their use in the educational sphere. The study offers two levels of evaluation, global and specific; the overall level allows a global judgment unlike the specific evaluation that ensures that there is always a balance between different aspects of serious games.

Classification of Vineyard Soils Using Portable and Benchtop Near-Infrared Spectrometers: A Comparative Study

2016 ◽  
Vol 80 (3) ◽  
pp. 652-661 ◽  
Author(s):  
Miguel Lopo ◽  
Ricardo N.M.J. Páscoa ◽  
António R. Graça ◽  
João A. Lopes
Keyword(s):  
Comparative Study ◽  
Near Infrared ◽  
Vineyard Soils
Sign in / Sign up

Export Citation Format

Share Document