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Kokoy Siti Komariah, Ariana Tulus Purnomo, Ardianto Satriawan, Muhammad Ogin Hasanuddin, Casi Setianingsih and Bong-Kee Sin
To pursue a healthy lifestyle, people are increasingly concerned about their food ingredients. Recently, it has become a common practice to use an online recipe to select the ingredients that match an individual?s meal plan and healthy diet preference. T...
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Giovanna Albertin, Davide Zuccon, Diego Guidolin, Raffaele De Caro, Marco Falda, Ugo Carraro and Laura Astolfi
The Venice Marathon is a small recreational marathon that has gained fame and prestige over time. In terms of gender participation, the 13 editions from 2007 to 2019 have seen an increase in female participation over time in the 40-year age category. Rec...
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Yujin Hwang, Seunghyeon Lee, Taejoo Kim, Kyeonghoon Baik and Yukyung Choi
Vertical farms are to be considered the future of agriculture given that they not only use space and resources efficiently but can also consistently produce large yields. Recently, artificial intelligence has been introduced for use in vertical farms to ...
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Julio Jerison E. Macrohon, Charlyn Nayve Villavicencio, X. Alphonse Inbaraj and Jyh-Horng Jeng
With the increasing popularity of Twitter as both a social media platform and a data source for companies, decision makers, advertisers, and even researchers alike, data have been so massive that manual labeling is no longer feasible. This research uses ...
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João Monteiro, Bruno Martins, Miguel Costa and João M. Pires
Datasets collecting demographic and socio-economic statistics are widely available. Still, the data are often only released for highly aggregated geospatial areas, which can mask important local hotspots. When conducting spatial analysis, one often needs...
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Aiiad Albeshri
Many smart city and society applications such as smart health (elderly care, medical applications), smart surveillance, sports, and robotics require the recognition of user activities, an important class of problems known as human activity recognition (H...
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Emmanuel Pintelas, Ioannis E. Livieris and Panagiotis Pintelas
Machine learning has emerged as a key factor in many technological and scientific advances and applications. Much research has been devoted to developing high performance machine learning models, which are able to make very accurate predictions and decis...
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Arhondoula Alexopoulou,Alexandra Batsou,Athanasios Drigas
Pág. pp. 146 - 156
Mobile phones hold a rather permeating role in our lives. Their portability and ease of use have turned them to indispensable parts of our everyday activities, since they are steadily connected to the internet, providing a wide range of applications at t...
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Mohammad Ali Humayun, Ibrahim A. Hameed, Syed Muslim Shah, Sohaib Hassan Khan, Irfan Zafar, Saad Bin Ahmed and Junaid Shuja
Automatic Speech Recognition, (ASR) has achieved the best results for English, with end-to-end neural network based supervised models. These supervised models need huge amounts of labeled speech data for good generalization, which can be quite a challeng...
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Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas and Panagiotis Pintelas
Semi-supervised learning algorithms have become a topic of significant research as an alternative to traditional classification methods which exhibit remarkable performance over labeled data but lack the ability to be applied on large amounts of unlabele...
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