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Shuai Dong, Zhihua Yang, Wensheng Li and Kun Zou
Conveyors are used commonly in industrial production lines and automated sorting systems. Many applications require fast, reliable, and dynamic detection and recognition for the objects on conveyors. Aiming at this goal, we design a framework that involv...
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Xiaowu Li, Kun Sun, Hongbo Fan and Zihan He
Accurate cattle pose estimation is essential for Precision Livestock Farming (PLF). Computer vision-based, non-contact cattle pose estimation technology can be applied for behaviour recognition and lameness detection. Existing methods still face challeng...
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Bo Zhao, Zhihong Chen, Hai Lin and XiangMin Ji
The write-only oblivious RAM (ORAM) is proposed to efficiently protect the privacy of applications such as cloud storage synchronization and encrypted hidden volumes. For N blocks with size B = ?(log2N), the most efficient write-only ORAM, DetWoORAM, ach...
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Pamuda Pudjisuryadi,Benjamin Lumantarna,Ryan Setiawan,Christian Handoko
Pág. 35 - 40
The recent seismic code SNI 1726-2012 is significantly different compared to the older code SNI 1726-2002. The seismic hazard map was significantly changed and the level of maximum considered earthquake was significantly increased. Therefore, buildings d...
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Han Yue, Huafang Xie, Lin Liu and Jianguo Chen
The occurrence of street crime is affected by socioeconomic and demographic characteristics and is also influenced by streetscape conditions. Understanding how the spatial distribution of street crime is associated with different streetscape features is ...
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Dipankar Kumar and Satoshi Takewaka
Automatic and accurate shoreline position and intertidal foreshore slope detection are challenging and significantly important for coastal dynamics. In the present study, a time series shoreline position and intertidal foreshore slope have been automatic...
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Nasrin Bayat, Diane D. Davey, Melanie Coathup and Joon-Hyuk Park
Accurate and robust human immune system assessment through white blood cell evaluation require computer-aided tools with pathologist-level accuracy. This work presents a multi-attention leukocytes subtype classification method by leveraging fine-grained ...
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Anita Agárdi and László Kovács
The development of an appropriate ontology model is usually a hard task. One of the main issues is that ontology developers usually concentrate on classes and neglect the role of properties. This paper analyzes the role of an appropriate property set in ...
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Sowjanya Dhulipala, Ashu S. Kedia, P.S. Salini, B.K. Katti
Pág. 3203 - 3219
The study presents the route choice behaviour among three alternative routes for a set of origin and destination points of Surat, a metropolitan city of India. Travel time, traffic congestion level and environmental effects along the routes are considere...
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Yao-Liang Chung
Against the backdrop of rising road traffic accident rates, measures to prevent road traffic accidents have always been a pressing issue in Taiwan. Road traffic accidents are mostly caused by speeding and roadway obstacles, especially in the form of rock...
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Lavinia Chiara Tagliabue, Fulvio Re Cecconi, Nicola Moretti, Stefano Rinaldi, Paolo Bellagente and Angelo Luigi Camillo Ciribini
The current perspective about urban development expects 70% of energy consumption will be concentrated in the cities in 2050. In addition, a growing density of people in the urban context leads to the need for increased security and safety for citizens, ...
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Dongge Liu, Tao Wang, Xiaojuan Li, Yeqing Ni, Yanping Li and Zhao Jin
Vector data compression can significantly improve efficiency of geospatial data management, visualization and data transmission over internet. Existing compression methods are either based on information theory for lossless compression mainly or based on...
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Carina Seitz,María I. Vélez,Gerardo M.E. Perillo
Pág. 131 - 152
Climatic changes and eustatic sea levels have been assumed to be the most important controllers of the Colorado River alluvial fan in northern Patagonia. Although the alluvial fan occurs in a region considered tectonically stable, there are pieces of evi...
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Sébastien Lefèvre, David Sheeren and Onur Tasar
The Geographic Object-Based Image Analysis (GEOBIA) paradigm relies strongly on the segmentation concept, i.e., partitioning of an image into regions or objects that are then further analyzed. Segmentation is a critical step, for which a wide range of me...
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Bhoj Raj Ghimire, Masahiko Nagai, Nitin Kumar Tripathi, Apichon Witayangkurn, Bhogendra Mishara and Nophea Sasaki
Mapping forest types in a natural heterogeneous forest environment using remote sensing data is a long-standing challenge due to similar spectral reflectance from different tree species and significant time and resources are required for acquiring and pr...
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Harry V. Wang, Jon Derek Loftis, David Forrest, Wade Smith and Barry Stamey
Washington, DC, the capital of the U.S., is located along the Upper Tidal Potomac River, where a reliable operational model is needed for making predictions of storm surge and river-induced flooding. We set up a finite volume model using a semi-implicit,...
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Yan Liu, Ya Deng and Binyao Peng
Under the ?two-carbon? goal, the green and low-carbon development of agriculture is a critical way to consummate agricultural modernization and high-quality economic establishment. Digital inclusive finance eases credit restrictions. It enhances the avai...
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Zhihang Liu, Pengfei He and Feifei Wang
Image super-resolution reconstruction technology can boost image resolution and aid in the discovery of PCB flaws. The traditional SRGAN algorithm produces reconstructed images with great realism, but it also has the disadvantages of insufficient feature...
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Xueliang Wang, Nan Yang, Enjun Liu, Wencheng Gu, Jinglin Zhang, Shuo Zhao, Guijiang Sun and Jian Wang
In order to solve the problem of manual labeling in semi-supervised tree species classification, this paper proposes a pixel-level self-supervised learning model named M-SSL (multisource self-supervised learning), which takes the advantage of the informa...
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Ra'Fat Ahmad AL-msie'deen
Pág. 20 - 28
Software companies usually develop a set of product variants within the same family that share certain functions and differ in others. Variations across software variants occur to meet different customer requirements. Thus, software product variants evol...
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