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Jayme Garcia Arnal Barbedo and Guilherme Barros Castro
Deep learning architectures like Convolutional Neural Networks (CNNs) are quickly becoming the standard for detecting and counting objects in digital images. However, most of the experiments found in the literature train and test the neural networks usin...
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Christoph Quix,Rihan Hai,Ivan Vatov
Pág. 67 - 83
In addition to volume and velocity, Big data is also characterized by its variety. Variety in structure and semantics requires new integration approaches which can resolve the integration challenges also for large volumes of data. Data lakes should reduc...
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Guzel Shkaberina, Natalia Rezova, Elena Tovbis and Lev Kazakovtsev
Finding the cluster structure is essential for analyzing self-organized networking structures, such as social networks. In such problems, a wide variety of distance measures can be used. Common clustering methods often require the number of clusters to b...
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Dimitrios Lymperis and Christos Goumopoulos
The development of smart city applications often encounters a variety of challenges. These include the need to address complex requirements such as integrating diverse data sources and incorporating geographical data that reflect the physical urban envir...
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Rajesh Natarajan, Gururaj Harinahallo Lokesh, Francesco Flammini, Anitha Premkumar, Vinoth Kumar Venkatesan and Shashi Kant Gupta
Background: The Internet of Medical Things, often known as IoMT, is a revolutionary method of connecting medical equipment and the software that operates on it to the computer networks that are used in healthcare 5.0. The rapid development of smart medic...
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Manal A. Abdel-Fattah, Wael Mohamed and Sayed Abdelgaber
Currently, the continuous massive growth in the size, variety, and velocity of data is defined as big data. Relational databases have a limited ability to work with big data. Consequently, not only structured query language (NoSQL) databases were utilize...
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Mark Burgin
Knowledge and data representations are important for artificial intelligence (AI), as well as for intelligence in general. Intelligent functioning presupposes efficient operation with knowledge and data representations in particular. At the same time, it...
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Morteza Omidipoor, Ara Toomanian, Najmeh Neysani Samany and Ali Mansourian
The size, volume, variety, and velocity of geospatial data collected by geo-sensors, people, and organizations are increasing rapidly. Spatial Data Infrastructures (SDIs) are ongoing to facilitate the sharing of stored data in a distributed and homogeneo...
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Elizabeth A. Pendleton, Edward M. Sweeney and Laura L. Brothers
The U.S. Geological Survey (USGS) and the National Oceanic Atmospheric Administration (NOAA) have collected approximately 5400 km2 of geophysical and hydrographic data on the Atlantic continental shelf between Delaware and Virginia over the past decade a...
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Yongsung Kim, Jihoon Moon and Eenjun Hwang
Recently, Internet of Things (IoT) technology has become a hot trend and is used in a wide variety of fields. For instance, in education, this technology contributes to improving learning efficiency in the class by enabling learners to interact with phys...
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Dewie Tri Wijayati
Pág. 13 - 26
Facing the implementation of ASEAN Economic Community (AEC) at the end of 2015 requires strategic measures to make Indonesia ready to compete with other nations in ASEAN. East Java Province has great potentials and contributions in the national agribusin...
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Yingjie Du and Ning Ding
Crime is always one of the most important social problems, and it poses a great threat to public security and people. Accurate crime prediction can help the government, police, and citizens to carry out effective crime prevention measures. In this paper,...
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Mohan Lal, Sunita Munda, Twahira Begum and Sudin Kumar Pandey
Kaempferia galanga is an endangered plant whose recognition as a flavoring agent and perfumery ingredient has increased its demand greatly. Therefore, the present investigation aimed at the identification of high-rhizome-yielding varieties of K. galanga....
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Rosnani Abd Ghani, Suhana Omar, Márton Jolánkai, Ákos Tarnawa, Zoltán Kende, Noriza Khalid, Csaba Gyuricza and Mária Katalin Kassai
Soilless cultivation systems in a controlled environment are increasingly being used due to several global issues such as climate change, pest and disease problems, declining soil fertility quality and limited agricultural land. Soybean is one of the pot...
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Sangil Park and Jun-Ho Huh
With the smartization and autonomous navigation of vessels through ICT (Information and Communications Technologies)?combining IoT, artificial intelligence (AI), and Big Data?changes in the shipbuilding industry will progress quickly; we must acquire sup...
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Mingyang Zhang, Lifeng Zhang and Bin Zhang
A four-dimensional ensemble variational assimilation system for FY-3A satellite data is constructed using the Proper Orthogonal Decomposition (POD)-based ensemble four-dimensional variational (4DVar) assimilation method (referred to as POD-4DEnVar Satell...
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Mariana Salinas
Pág. 10 - 16
People around the world are becoming increasingly busy with their lifestyle and are looking for the fastest, easiest and cheapest way to complete variety of our routine tasks. Because of this phenomenon, the traditional retailers have become an unfriendl...
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Ye Ma, Qing Chang, Huanzhang Lu and Junliang Liu
Recurrent neural networks (RNNs) remain challenging, and there is still a lack of long-term memory or learning ability in sequential data classification and prediction. In this paper, we propose a flexible recurrent model, BIdirectional COnvolutional RaN...
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Philipe dos Santos, Fabrício Schwanz da Silva, Alexandre Gonçalves Porto, Sandro Pioli Zela, Camila de Souza Paglarini
Pág. 123 - 131
During processing, the storage requires attention, since the moisture content is a major factor that influences the quality of raw materials and manufactured products. Equilibrium isotherm represents the relationship between the material moisture content...
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MohammadHossein Reshadi, Wen Li, Wenjie Xu, Precious Omashor, Albert Dinh, Scott Dick, Yuntong She and Michael Lipsett
Anomaly detection in data streams (and particularly time series) is today a vitally important task. Machine learning algorithms are a common design for achieving this goal. In particular, deep learning has, in the last decade, proven to be substantially ...
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