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Advanced Analytics and Artificial Intelligence Applications
Computers and machines were developed to reduce time consumption and manual human efforts to complete projects efficiently. With fast-growing technologies in the field, we have finally reached a stage where almost everyone in the world has access to these high technologies. However, this is just a starting phase because future development is taking a more advanced route in the shape of artificial intelligence (AI). Although AI is under the computer science umbrella, nowadays there is no field unaffected by this high technology. The overall aim of using intelligence learning methods is to train machines to think intelligently and make decisions in different situations the same as humans. Previously, machines were doing what they were programmed to do, but now with AI, devices can think and behave like a human being. This book aims to present the application of advanced analytics and AI in different industries as practical tools to develop prediction, optimization, and make decision models.
The Best We Could Do
National bestseller 2017 National Book Critics Circle (NBCC) Finalist ABA Indies Introduce Winter / Spring 2017 Selection Barnes & Noble Discover Great New Writers Spring 2017 Selection ALA 2018 Notable Books Selection An intimate and poignant graphic novel portraying one family’s journey from war-torn Vietnam, from debut author Thi Bui. This beautifully illustrated and emotional story is an evocative memoir about the search for a better future and a longing for the past. Exploring the anguish of immigration and the lasting effects that displacement has on a child and her family, Bui documents the story of her family’s daring escape after the fall of South Vietnam in the 1970s, and the d...
Who's who in Vietnam
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A Deep Learning-Based Aesthetic Surgery Recommendation System
We propose in this chapter a deep learning-based recommendation system for aesthetic surgery, composing of a mobile application and a deep learning model. The deep learning model built based on the dataset of before- and after-surgery facial images can estimate the probability of the perfection of some parts of a face. In this study, we focus on the most two popular treatments: rejuvenation treatment and eye double-fold surgery. It is assumed that the outcomes of our history surgeries are perfect. Firstly a convolutional autoencoder is trained by eye images before and after surgery captured from various angles. The trained encoder is utilized to extract learned generic eye features. Secondly, the encoder is further trained by pairs of image samples, captured before and after surgery, to predict the probability of perfection, so-called perfection score. Based on this score, the system would suggest whether some sorts of specific aesthetic surgeries should be performed. We preliminarily achieve 88.9 and 93.1% accuracy on rejuvenation treatment and eye double-fold surgery, respectively.
Văn bia Tiên Lãng-Hải Phòng
History and interpretation of the inscriptions in Tiên Lãng District, Hải Phòng City, Vietnam
Voices of Vietnam
Introduction. On Radio, Red Music, and Revolution -- Sound, Technology, and Culture in French Indochina -- Battle of the Airwaves during the First Indochina War -- Songs of the Golden Age in the Democratic Republic -- National Radio in the Reform Era -- Studio Production in Contemporary Vietnam -- Conclusion. Nostalgia for the Past, Hope for the Future.
Tạp chí cộng sản
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Lễ hội Việt Nam
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