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David Eduardo Morocho Jaramillo, Camilla Mileto and Fernando Vegas López-Manzanares
This article explores the ties between vernacular architecture, culture and identity in a context of sociocultural change in the Ecuadorian Amazon. The text addresses the loss of a collective cultural identity from a historical, socio-spatial and descrip...
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Fadi Shaar, Arif Yilmaz, Ahmet Ercan Topcu and Yehia Ibrahim Alzoubi
Recognizing aircraft automatically by using satellite images has different applications in both the civil and military sectors. However, due to the complexity and variety of the foreground and background of the analyzed images, it remains challenging to ...
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Lixin Wang, Wenlei Sun, Jintao Zhao, Xuedong Zhang, Cheng Lu and Hao Luo
As a critical raw material for the textile industry, cotton lint provides various types of cotton yarns, fabrics and finished products. However, due to the complexity of the supply chain and its many links, information records are often missing, inaccura...
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Eduardo Morales-Vargas, Hayde Peregrina-Barreto, Rita Q. Fuentes-Aguilar, Juan Pablo Padilla-Martinez, Wendy Argelia Garcia-Suastegui and Julio C. Ramirez-San-Juan
Microvasculature analysis is an important task in the medical field due to its various applications. It has been used for the diagnosis and threat of diseases in fields such as ophthalmology, dermatology, and neurology by measuring relative blood flow or...
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Guillaume Devic, Gilles Sassatelli and Abdoulaye Gamatié
The execution of machine learning (ML) algorithms on resource-constrained embedded systems is very challenging in edge computing. To address this issue, ML accelerators are among the most efficient solutions. They are the result of aggressive architectur...
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Hui Luo, Jiamin Li, Lianming Cai and Mingquan Wu
Automatic pavement crack detection is crucial for reducing road maintenance costs and ensuring transportation safety. Although convolutional neural networks (CNNs) have been widely used in automatic pavement crack detection, they cannot adequately model ...
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Jifeng Zhu, Xiaohe Pan, Zheng Peng, Mengzhuo Liu, Jingqian Guo, Tong Zhang, Yu Gou and Jun-Hong Cui
The most significant increase of current task is in the desire for operational flexibility and agility in large-scale underwater network application scenarios in recent years. In order to address the challenging problems in Underwater Wireless Sensor Net...
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Leny Vinceslas, Safak Dogan, Srikumar Sundareshwar and Ahmet M. Kondoz
By design, distributed ledger technologies persist low-level data, which makes conducting complex business analysis of the recorded operations challenging. Existing blockchain visualization and analytics tools such as block explorers tend to rely on this...
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Yiming Zhu, Dehua Zhou, Yuan Li, Beibei Song and Chuansheng Wang
Recently, significant progress has been made in the field of public key encryption with keyword search (PEKS), with a focus on optimizing search methods and improving the security and efficiency of schemes. Keyword frequency analysis is a powerful tool f...
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Songyuan Li, Hao Zeng, Huanyu Wang and Xi Li
Salient Object Detection (SOD) aims at identifying the most visually distinctive objects in a scene. However, learning a mapping directly from a raw image to its corresponding saliency map is still challenging. First, the binary annotations of SOD impede...
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