scholarly journals Fraud Detection Using Multi-layer Heterogeneous EnsembleMethod

2021 ◽  
pp. 1-3
Author(s):  
Haritha Rajeev Neenu Kuriakose
Keyword(s):  
Credit Card ◽  
Fraud Detection ◽  
Ensemble Method ◽  
Different Types ◽  
Layered Learning ◽  
Deep Integration ◽  
The Way

Fraudulent detection is a large number of exercises that try to keep cash or property out of the way. Fraud surveillance is used in many businesses such as banking or security. At the bank, misrepresentation may involve producing checks or using a Credit Card taken. Different types of robberies can include misfortune or create a problem with the expectation of only a paid Layer Ensemble Method running other AI fields including collecting learning. Recently, there have been one deep group models deployed with a large number of classifiers in each layer. These models, as a result, require a much larger calculation. In addition, the deep integration models are available that use all the separating elements including the unnecessary ones that can reduce the accuracy of the group. In this experiment, we propose a multi-layered learning structure called the Two-Layer Ensemble System to address the issue of definition. The proposed framework is working with a number of weird filters to get the troupe jumper sity, in these lines being a technology in the use of equipment.

Facial recognition technologies and the new physiognomic era

2020 ◽  
Vol 43 (2) ◽  
pp. 45-56
Author(s):  
Abigail Nieves Delgado
Keyword(s):  
Facial Recognition ◽  
Personal Identification ◽  
Digital Photographs ◽  
Different Types ◽  
Recognition Systems ◽  
The Way

The current overproduction of images of faces in digital photographs and videos, and the widespread use of facial recognition technologies have important effects on the way we understand ourselves and others. This is because facial recognition technologies create new circulation pathways of images that transform portraits and photographs into material for potential personal identification. In other words, different types of images of faces become available to the scrutiny of facial recognition technologies. In these new circulation pathways, images are continually shared between many different actors who use (or abuse) them for different purposes. Besides this distribution of images, the categorization practices involved in the development and use of facial recognition systems reinvigorate physiognomic assumptions and judgments (e.g., about beauty, race, dangerousness). They constitute the framework through which faces are interpreted. This paper shows that, because of this procedure, facial recognition technologies introduce new and far-reaching »facialization« processes, which reiterate old discriminatory practices.

Legislation and the Constitutional Framework

2018 ◽  
Author(s):  
Eva Steiner
Keyword(s):  
Civil Law ◽  
Primary Source ◽  
Legislative Process ◽  
French Law ◽  
Major Overhaul ◽  
Different Types ◽  
The Way

This chapter introduces the main constitutional institutions and mechanism governing France, taking into account the major overhaul of the 1958 Constitution in 2008. It also shows that legislation is the primary source of law in France, that there are different types of legislation, and that legislative sources are organised hierarchically. Moreover, the chapter also considers, within the constitutional framework, the legislative process and examines the way in which bills are drafted. It also seeks to familiarise readers with the layout of a French statute. In addition, this chapter shows that much of French law though not all of it is codified. Codification is a particular legislative technique common to most civil law systems.

Imagery in the Book of Revelation

2020 ◽  
pp. 52-67
Author(s):  
Konrad Huber
Keyword(s):  
Reception History ◽  
Book Of Revelation ◽  
Imperial Cult ◽  
Emotional Effect ◽  
Greco Roman ◽  
Different Types ◽  
Figurative Speech ◽  
Theological Message ◽  
Over Time ◽  
The Way

The chapter first surveys different types of figurative speech in Revelation, including simile, metaphor, symbol, and narrative image. Second, it considers the way images are interrelated in the narrative world of the book. Third, it notes how the images draw associations from various backgrounds, including biblical and later Jewish sources, Greco-Roman myths, and the imperial cult, and how this enriches the understanding of the text. Fourth, the chapter looks at the rhetorical impact of the imagery on readers and stresses in particular its evocative, persuasive, and parenetic function together with its emotional effect. And fifth, it looks briefly at the way reception history shows how the imagery has engaged readers over time. Thus, illustrated by numerous examples, it becomes clear how essentially the imagery of the book of Revelation constitutes and determines its theological message.

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