Big data facial image is an important identity information for people. However, facial image inpainting using existing deep learning methods has some problems such as insufficient feature mining and incomplete semantic expression, leading to output…
Big data facial image is an important identity information for people. However, facial image inpainting using existing deep learning methods has some problems such as insufficient feature mining and incomplete semantic expression, leading to output…
The management of hot work is the key element of petroleum refinery safety management. A large amount of hot-work data has been accumulated, which is underexploited. Driving new insights using big data analytics is the trend. However, there have been…
Big data facial image is an important identity information for people. However, facial image inpainting using existing deep learning methods has some problems such as insufficient feature mining and incomplete semantic expression, leading to output…
By combining Named Entity Recognition model trained on a tiny labeled dataset with a generalist Reading Comprehension engine, this abstract shows how to implement an efficient Semantic Search engine which can complete and sometime replace traditional…
Building big data analytics (BDA) applications in the cloud introduces inevitable challenges, such as loss of control and uncertainty. To address the existing challenges, numerous efforts have been made on BDA application engineering to optimize the…
The management of hot work is the key element of petroleum refinery safety management. A large amount of hot-work data has been accumulated, which is underexploited. Driving new insights using big data analytics is the trend. However, there have been…
By combining Named Entity Recognition model trained on a tiny labeled dataset with a generalist Reading Comprehension engine, this abstract shows how to implement an efficient Semantic Search engine which can complete and sometime replace traditional…
With the development and application of e-commerce, the research on enterprise online product recommendation service model under big data background has become a frontier issue. Collaborative filtering algorithm is improved based on domain ontology,…
With the development and application of e-commerce, the research on enterprise online product recommendation service model under big data background has become a frontier issue. Collaborative filtering algorithm is improved based on domain ontology,…
The Optique project aims at developing an end-to-end system for semantic data access to Big Data in industries such as Statoil ASA and Siemens AG. In our demonstration we present the first version of the Optique system customised for the Norwegian…
Building big data analytics (BDA) applications in the cloud introduces inevitable challenges, such as loss of control and uncertainty. To address the existing challenges, numerous efforts have been made on BDA application engineering to optimize the…
With the development and application of e-commerce, the research on enterprise online product recommendation service model under big data background has become a frontier issue. Collaborative filtering algorithm is improved based on domain ontology,…
With the development and application of e-commerce, the research on enterprise online product recommendation service model under big data background has become a frontier issue. Collaborative filtering algorithm is improved based on domain ontology,…
The Optique project aims at developing an end-to-end system for semantic data access to Big Data in industries such as Statoil ASA and Siemens AG. In our demonstration we present the first version of the Optique system customised for the Norwegian…
The management of hot work is the key element of petroleum refinery safety management. A large amount of hot-work data has been accumulated, which is underexploited. Driving new insights using big data analytics is the trend. However, there have been…
By combining Named Entity Recognition model trained on a tiny labeled dataset with a generalist Reading Comprehension engine, this abstract shows how to implement an efficient Semantic Search engine which can complete and sometime replace traditional…
Big data facial image is an important identity information for people. However, facial image inpainting using existing deep learning methods has some problems such as insufficient feature mining and incomplete semantic expression, leading to output…
Big data facial image is an important identity information for people. However, facial image inpainting using existing deep learning methods has some problems such as insufficient feature mining and incomplete semantic expression, leading to output…
With the rapid development and comprehensive popularization of information technology, in order to reduce resource consumption and environmental pollution, all walks of life have made efforts to promote the construction of information technology in…
The oil-and-gas industry is Russia's top source of budget income. This industry is moving towards more pronounced use of IT in order to minimize oil production and refining costs. Notably, any major oil refinery prioritizes not only the final-product…
Building big data analytics (BDA) applications in the cloud introduces inevitable challenges, such as loss of control and uncertainty. To address the existing challenges, numerous efforts have been made on BDA application engineering to optimize the…
Over the past years, frameworks such as MapReduce and Spark have been introduced to ease the task of developing big data programs and applications. However, the jobs in these frameworks are roughly defined and packaged as executable jars without any…
The management of hot work is the key element of petroleum refinery safety management. A large amount of hot-work data has been accumulated, which is underexploited. Driving new insights using big data analytics is the trend. However, there have been…
The increased ability of Artificial Intelligence (AI) technologies to generate and parse texts will inevitably lead to more proposals for AIs use in the semantic sentiment analysis (SSA) of textual sources. We argue that instead of focusing solely on…
With ubiquitous cameras and popular 3D scanning and capturing devices to help us capture 2D/3D scene data, there are many scene understanding related applications, as well as quite a few important and interesting research problems in processing,…
Submerged Arc Welding (SAW) is one of the most applied technology in manufacturing structural shape, larger diameter petroleum pipe, pressure vessels, storage tanks and machine components for all types of heavy industry. Digital radiography (DR)…
In industrial production, fabric products will always inevitably appear flaws due to uncontrollable factors such as production and transportation. However, there are many problems with the manual inspection methods used by manufacturers, such as low…