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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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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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