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Shaojun Liu, Xiawei Chen, Fengji Zhang, Yiyan Liu and Junlian Ge
With the rapid pace of urbanization, enhancing the quality of life has become an urgent demand for the general public in both developed and developing countries. This study addresses the pressing need to understand the spatial distribution and underlying...
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Guiming Zhang and Jin Xu
Kernel density estimation (KDE) is a commonly used method for spatial point pattern analysis, but it is computationally demanding when analyzing large datasets. GPU-based parallel computing has been adopted to address such computational challenges. The e...
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Mihai Andronie, George Lazaroiu, Mariana Iatagan, Iulian Hurloiu, Roxana ?tefanescu, Adrian Dijmarescu and Irina Dijmarescu
The objective of this systematic review was to analyze the recently published literature on the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data management algorithms, deep learning-based object detection technologi...
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Wenjun Zou, Lei Wu, Yunrui Chang and Qiang Niu
Ride-hailing, a newly emerging mobility service that is popular worldwide, has become an efficient new mode of transportation. Nonetheless, the use and value of ride-hailing remain unclear for newly developed areas in the suburbs. We crawled through the ...
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Salwa Rizqina Putri, Arie Wahyu Wijayanto and Anjar Dimara Sakti
Poverty data are usually collected through on-the-ground household-based socioeconomic surveys. Unfortunately, data collection with such conventional methods is expensive, laborious, and time-consuming. Additional information that can describe poverty wi...
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Guiming Zhang
Volunteer-contributed geographic data (VGI) is an important source of geospatial big data that support research and applications. A major concern on VGI data quality is that the underlying observation processes are inherently biased. Detecting observatio...
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George Lazaroiu, Mihai Andronie, Mariana Iatagan, Marinela Geamanu, Roxana ?tefanescu and Irina Dijmarescu
The purpose of our systematic review is to examine the recently published literature on the Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep learning-assisted smart process planning, robotic wireless sensor networ...
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Ellen Banzhaf, Henry N. Bulley, Justice Nana Inkoom and Sebastian Elze
This perspective paper highlights the potentials, limitations, and combinations of openly available Earth observation (EO) data and big data in the context of environmental research in urban areas. The aim is to build the resilience of informal settlemen...
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Fahmi Amhar, Endang Purnama Giri, Florence Elfriede Sinthauli Silalahi, Shelvie Nidya Neyman, Anggrahito, Dadan Ramdani, Danang Jaya, Dewayany Sutrisno, Sandi Adhitya Kolopaking, Tia Rizka Nuzula Rachma and Murdaningsih
This research aims to protect Digital Elevation Model (DEM) data from piracy or counterfeiting. An invisible watermark inserted into the data, which will not considerably change the data value, is necessary. The proposed method involves the use of the tw...
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Changfeng Jing, Shasha Guo, Hongyang Zhang, Xinxin Lv and Dongliang Wang
To achieve Sustainable Development Goal 7 (SDG7), it is essential to detect the spatiotemporal patterns of electricity consumption, particularly the spatiotemporal heterogeneity of consumers. This is also crucial for rational energy planning and manageme...
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