The Journal of Supercomputing
Papers 4,983
1 page of 499 pages (4,983 results)
#1Taemin Lee (CAU: Chung-Ang University)H-Index: 2
#2Changhun Jung (CAU: Chung-Ang University)
Last. Sanghyun Seo (CAU: Chung-Ang University)H-Index: 10
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As augmented reality technologies develop, real-time interactions between objects present in the real world and virtual space are required. Generally, recognition and location estimation in augmented reality are carried out using tracking techniques, typically markers. However, using markers creates spatial constraints in simultaneous tracking of space and objects. Therefore, we propose a system that enables camera tracking in the real world and visualizes virtual visual information through the ...
#1Ghazaleh Javadzadeh (IAU: Islamic Azad University)H-Index: 2
#2Amir Masoud Rahmani (National Yunlin University of Science and Technology)H-Index: 29
Last. Morteza Saberi Kamarposhti (IAU: Islamic Azad University)H-Index: 1
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The dew computing paradigm is emerging as a complement of cloud computing to cover its limitations. Independence is one of the essential features of dew computing. It means that it can continue to provide services without an Internet connection. These characteristics of dew computing allow it to find a niche in real-time applications. The importance of real-time applications in daily human life is not hidden due to the growing development of the Internet of Things. In this paper, the hierarchica...
This research aims to further promote the popularization and application of agricultural Internet of Things (IoT) and solve the practical problems of low transmission efficiency in agricultural data transmission. The targeted study is conducted on the video coding in agricultural IoT system to further promote the development of agricultural IoT system and improve the application effect of video surveillance technology. Firstly, an intelligent decision management platform is designed based on agr...
#1Christos Tsolakis (ODU: Old Dominion University)H-Index: 4
#2Polykarpos Thomadakis (ODU: Old Dominion University)H-Index: 2
Last. Nikos Chrisochoides (ODU: Old Dominion University)H-Index: 23
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Handling the ever-increasing complexity of mesh generation codes along with the intricacies of newer hardware often results in codes that are both difficult to comprehend and maintain. Different facets of codes such as thread management and load balancing are often intertwined, resulting in efficient but highly complex software. In this work, we present a framework which aids in establishing a core principle, deemed separation of concerns, where functionality is separated from performance aspect...
#1Jinyan LiH-Index: 50
#2Yaoyang WuH-Index: 1
Last. Wu FengH-Index: 1
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#1Shiva Jalali (KNTU: K.N.Toosi University of Technology)H-Index: 1
#2Monireh Hosseini (KNTU: K.N.Toosi University of Technology)H-Index: 6
The collaborative filtering method in recommender systems can produce suggestions with good quality. However, this method suffers from the issues of cold start and data sparsity. To overcome these problems, other data sources must be used to identify users. As a source of information, social relationships between users can help solve these problems. Recommender systems, on the other hand, are set in environments where data are generated continuously and with high dimension over time. For example...
#1Ehsan JokarH-Index: 1
#2Mohammad MoslehH-Index: 12
Last. Mohammad KheyrandishH-Index: 4
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#1C. Anand Deva Durai (King Khalid University)H-Index: 4
#2Arshiya Begum (King Khalid University)H-Index: 2
Last. Asfia Sabahath (King Khalid University)H-Index: 1
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COVID-19 has affected every individual physically or physiologically, leading to substantial impacts on how they perceive and respond to the pandemic's danger. Due to the lack of vaccines or effective medicines to cure the infection, an urgent control measure is required to prevent the continued spread of COVID-19. This can be achieved using advanced computing, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), cloud computing, and edge computing. To control the exp...
#1Seifedine KadryH-Index: 25
#2Venkatesan Rajinikanth (St. Joseph's College of Engineering)H-Index: 31
Last. Elena Verdú (Universidad Internacional de La Rioja)H-Index: 11
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An eye disease affects the entire sensory operation, and an unrecognised and untreated eye disease may lead to loss of vision. The proposed work aims to develop an automated age-related macular degeneration (AMD) detection system using a Deep-Learning (DL) scheme with serially concatenated deep and handcrafted features. The research includes the following phases: initial data processing, deep-features extraction with VGG16, handcrafted feature extraction, optimal feature selection using Mayfly-A...
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