Current and future methodologies for quantitative analysis of information transfer in sign language and gesture data

2017 ◽  
Vol 40 ◽  
Author(s):  
Evie Malaia
Keyword(s):  
Quantitative Analysis ◽  
Data Collection ◽  
Sign Language ◽  
Motion Capture ◽  
Information Transfer ◽  
State Of The Art ◽  
Video Data ◽  
Noninvasive Methods ◽  
Video Recordings ◽  
Biological Differentiation

AbstractState-of-the-art methods of analysis of video data now include motion capture and optical flow from video recordings. These techniques allow for biological differentiation between visual communication and noncommunicative motion, enabling further inquiry into neural bases of communication. The requirements for additional noninvasive methods of data collection and automatic analysis of natural gesture and sign language are discussed.

A Systematic Literature Review of the EFQM Excellence Model from 1991 to 2019

1970 ◽  
Vol 2 (2) ◽  
pp. 11-15
Author(s):  
Muhammad Yousaf ◽  
Petr Bris
Keyword(s):  
Quality Management ◽  
Data Collection ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Quantitative Research ◽  
Web Of Science ◽  
State Of The Art ◽  
Future Research ◽  
European Foundation ◽  
The Subject

A systematic literature review (SLR) from 1991 to 2019 is carried out about EFQM (European Foundation for Quality Management) excellence model in this paper. The aim of the paper is to present state of the art in quantitative research on the EFQM excellence model that will guide future research lines in this field. The articles were searched with the help of six strings and these six strings were executed in three popular databases i.e. Scopus, Web of Science, and Science Direct. Around 584 peer-reviewed articles examined, which are directly linked with the subject of quantitative research on the EFQM excellence model. About 108 papers were chosen finally, then the purpose, data collection, conclusion, contributions, and type of quantitative of the selected papers are discussed and analyzed briefly in this study. Thus, this study identifies the focus areas of the researchers and knowledge gaps in empirical quantitative literature on the EFQM excellence model. This article also presents the lines of future research.

State of the Art in Information Extraction and Quantitative Analysis for Multimodality Biomolecular Imaging

2008 ◽  
Vol 96 (3) ◽  
pp. 512-531 ◽  
Author(s):  
W.M. Ahmed ◽  
S.J. Leavesley ◽  
B. Rajwa ◽  
M.N. Ayyaz ◽  
A. Ghafoor ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Information Extraction ◽  
State Of The Art ◽  
Biomolecular Imaging

scholarly journals Deep Learning for Brain Tumor Segmentation: A Survey of State-of-the-Art

2021 ◽  
Vol 7 (2) ◽  
pp. 19
Author(s):  
Tirivangani Magadza ◽  
Serestina Viriri
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Brain Tumor ◽  
Quantitative Analysis ◽  
Medical Image ◽  
State Of The Art ◽  
Medical Image Analysis ◽  
Building Blocks ◽  
Tumor Segmentation ◽  
Brain Tumor Segmentation

Quantitative analysis of the brain tumors provides valuable information for understanding the tumor characteristics and treatment planning better. The accurate segmentation of lesions requires more than one image modalities with varying contrasts. As a result, manual segmentation, which is arguably the most accurate segmentation method, would be impractical for more extensive studies. Deep learning has recently emerged as a solution for quantitative analysis due to its record-shattering performance. However, medical image analysis has its unique challenges. This paper presents a review of state-of-the-art deep learning methods for brain tumor segmentation, clearly highlighting their building blocks and various strategies. We end with a critical discussion of open challenges in medical image analysis.

Kepuasan Pelanggan Dalam Berbelanja  di  Alfamidi Pagelaran Bogor

2021 ◽  
Vol 1 (2) ◽  
pp. 85-104
Author(s):  
Efrita Norman ◽  
Zul Hiskandar ◽  
Evinovita Evinovita
Keyword(s):  
Quantitative Analysis ◽  
Data Collection ◽  
Customer Satisfaction ◽  
Analysis Data ◽  
Primary Data ◽  
Sample Technique ◽  
Saturated Sample ◽  
Positive Effect

    This study aims to analyze the effect of price and location on Alfamidi's customer satisfaction in Pagelaran Village, Bogor. The method used is descriptive and associative quantitative analysis, data collection used in this study using primary data sourced from questionnaires distributed to customers of Alfamidi Raya Ciomas who are in Pagelaran Village. Sampling using the saturated sample technique where the sample is consumers who have shopped at Alfamidi in the performance village. The sample used was 100 Alfamidi customer respondents in Pagelaran Village. Based on the results of the study showed that 1) price had a positive and significant effect on customer satisfaction, 2) location had a positive and significant impact on customer satisfaction, 3) price and location together had a positive effect on customer satisfaction. positive and significant impact on customer satisfaction in shopping for Alfamidi customers in Pagelaran Village.  

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