An Approach to Automatic Recognition of Web Advertising Focused on Different Languages

2020 ◽  
Author(s):  
Donovan Riano Enriquez ◽  
Guillermo Molero-Castillo ◽  
Rodrigo Pinon Ayala ◽  
Everardo Barcenas
Keyword(s):  
Automatic Recognition ◽  
Web Advertising

The effectiveness of web advertising, its legal regulation and the problem of information systems security

2020 ◽  
Vol 4 (3(12)) ◽  
pp. 1-15
Author(s):  
Samira Ilgarovna Proshkina ◽  
Keyword(s):  
Information Systems ◽  
Computational Models ◽  
Evolutionary Dynamics ◽  
Legal Regulation ◽  
Information Systems Security ◽  
Systematic Analysis ◽  
Web Advertising ◽  
Systems Security ◽  
Business Structures ◽  
Display Location

The work is devoted to an urgent problem — the study of the evolutionary dynamics of web advertising, its assessment and effectiveness, as well as the problem of legal support and security of information systems. The goal is a systematic analysis of web advertising in an unsafe information field, its relevance and criteria for assessing marketing efforts, minimizing risks, maximizing additional profits and image. Research hypothesis — the effectiveness of web advertising is determined by the form of advertising, place of display, location of the block, model of calculation of the advertising campaign. An approach based on the establishment of preferences, partnership between the state and business structures is emphasized. It takes into account the COVID-19 pandemic, a slowdown in the pace and features of the evolution of business companies in self-isolation. The subtasks of influence on the advertising efficiency of the site’s features and web advertising are highlighted. A comprehensive analysis of information and logical security and computational models of web advertising companies was also carried out.

scholarly journals Automatic Recognition of Fetal Facial Standard Plane in Ultrasound Image via Fisher Vector

PLoS ONE ◽  
2015 ◽  
Vol 10 (5) ◽  
pp. e0121838 ◽  
Author(s):  
Baiying Lei ◽  
Ee-Leng Tan ◽  
Siping Chen ◽  
Liu Zhuo ◽  
Shengli Li ◽  
...  
Keyword(s):  
Ultrasound Image ◽  
Automatic Recognition ◽  
Fisher Vector

scholarly journals Smart Care Using a DNN-Based Approach for Activities of Daily Living (ADL) Recognition

2020 ◽  
Vol 11 (1) ◽  
pp. 10
Author(s):  
Muchun Su ◽  
Diana Wahyu Hayati ◽  
Shaowu Tseng ◽  
Jiehhaur Chen ◽  
Hsihsien Wei
Keyword(s):  
Neural Network ◽  
Health Care ◽  
Activities Of Daily Living ◽  
Video Processing ◽  
Daily Living ◽  
Deep Neural Network ◽  
Recognition System ◽  
Automatic Recognition ◽  
Data Filtering ◽  
Accuracy Rate

Health care for independently living elders is more important than ever. Automatic recognition of their Activities of Daily Living (ADL) is the first step to solving the health care issues faced by seniors in an efficient way. The paper describes a Deep Neural Network (DNN)-based recognition system aimed at facilitating smart care, which combines ADL recognition, image/video processing, movement calculation, and DNN. An algorithm is developed for processing skeletal data, filtering noise, and pattern recognition for identification of the 10 most common ADL including standing, bending, squatting, sitting, eating, hand holding, hand raising, sitting plus drinking, standing plus drinking, and falling. The evaluation results show that this DNN-based system is suitable method for dealing with ADL recognition with an accuracy rate of over 95%. The findings support the feasibility of this system that is efficient enough for both practical and academic applications.

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