General Engineering Statistics

2021 ◽  
pp. 369-420
Author(s):  
Michael L. Free
Keyword(s):  
Engineering Statistics

scholarly journals Intelligent Predicting Learning Disabilities in School Going Children using Fuzzy Logic K Mean Clustering in Machine Learning.

2019 ◽  
Vol 8 (4) ◽  
pp. 1694-1698
Keyword(s):  
Social Sciences ◽  
Machine Learning ◽  
Decision Making ◽  
Learning Disabilities ◽  
Fuzzy Logic ◽  
Side Effects ◽  
Early Analysis ◽  
Comprehensive Investigation ◽  
Engineering Statistics ◽  
Decision Making System

Learning disabilities (LD) is turning into a major issue in various nations around the globe which can even contrarily influence human common advancement. The undertaking of this work is to help the specialized programme network in their task to be with the standard. The underlying section of the paper gives a comprehensive investigation of the distinctive components of diagnosing learning disabilities. Despite the fact that LD can be analysed early - before 5 years of age, most youngsters were not determined to have LD until the age of nine on account of its unpredictable side effects and unclear indication in children disorder issue. Fuzzy logic K-means clustering has inspired a tremendous transformation in Machine learning and can take and able to resolve a variation of problems. This paper is the elaboration on the strategy for utilizing this mix to encourage the early analysis of LD. Since Fuzzy Logic clustering in Machine Learning is generally considered and connected in different areas of science, we invite all the related analysts from the fields of computer science, engineering, statistics, social sciences, healthcare, and so on, etc. The result of the paper demonstrates that the previously mentioned methodology can possibly be the potential of the supporting decision-making system in LD investigating and diagnosing.

The Value and Scope of GIS in Marketing and Tourism Management

2019 ◽  
pp. 706-723
Author(s):  
Mertcan Taşçıoğlu ◽  
Dursun Yener
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Marketing Theory ◽  
Dynamic Information ◽  
Gis Applications ◽  
Tourism Management ◽  
Engineering Statistics ◽  
Store Location

Geographical information systems (GIS) are the systems that store location-based data and analyze them. GIS originated from the conventional cartographic techniques of simply drawing maps with a pencil and board. Following the adoption of computer technology, GIS further evolved as a geo-referenced dynamic information system, which can today be considered as a multi-disciplinary instrument that links different disciplines like geography, computer science, remote sensing, civil engineering, statistics, marketing, and other social and behavioral sciences. In this chapter, GIS is defined and its importance and functions are described in detail. Usage of GIS in marketing is explained, especially its development in marketing theory. Also, the value and scope of GIS in tourism management with a view to understand the spread of GIS applications in tourism is explored.

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