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Most Cited

  • Systematic Review
  • Open Access
121 Citations
10,455 Views
24 Pages

Big Data Management Algorithms, Deep Learning-Based Object Detection Technologies, and Geospatial Simulation and Sensor Fusion Tools in the Internet of Robotic Things

  • Mihai Andronie,
  • George Lăzăroiu,
  • Mariana Iatagan,
  • Iulian Hurloiu,
  • Roxana Ștefănescu,
  • Adrian Dijmărescu and
  • Irina Dijmărescu

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 techno...

  • Review
  • Open Access
105 Citations
27,332 Views
35 Pages

Graph Neural Network for Traffic Forecasting: The Research Progress

  • Weiwei Jiang,
  • Jiayun Luo,
  • Miao He and
  • Weixi Gu

Traffic forecasting has been regarded as the basis for many intelligent transportation system (ITS) applications, including but not limited to trip planning, road traffic control, and vehicle routing. Various forecasting methods have been proposed in...

  • Article
  • Open Access
51 Citations
3,803 Views
15 Pages

Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan

  • Xiaoyi Zhang,
  • Muhammad Usman,
  • Ateeq ur Rehman Irshad,
  • Mudassar Rashid and
  • Amira Khattak

While socioeconomic gradients in regional health inequalities are firmly established, the synergistic interactions between socioeconomic deprivation and climate vulnerability within convenient proximity and neighbourhood locations with health dispari...

  • Review
  • Open Access
50 Citations
12,909 Views
24 Pages

Point cloud processing is an essential task in many applications in the AEC domain, such as automated progress assessment, quality control and 3D reconstruction. As much of the procedure used to process the point clouds is shared among these applicat...

  • Article
  • Open Access
44 Citations
10,481 Views
19 Pages

Deep Learning Semantic Segmentation for Land Use and Land Cover Types Using Landsat 8 Imagery

  • Wuttichai Boonpook,
  • Yumin Tan,
  • Attawut Nardkulpat,
  • Kritanai Torsri,
  • Peerapong Torteeka,
  • Patcharin Kamsing,
  • Utane Sawangwit,
  • Jose Pena and
  • Montri Jainaen

Using deep learning semantic segmentation for land use extraction is the most challenging problem in medium spatial resolution imagery. This is because of the deep convolution layer and multiple levels of deep steps of the baseline network, which can...

  • Article
  • Open Access
41 Citations
10,323 Views
23 Pages

As neighborhood walkability has gradually become an important topic in various fields, many cities around the world are promoting an eco-friendly and people-centered walking environment as a top priority in urban planning. The purpose of this study i...

  • Article
  • Open Access
41 Citations
5,800 Views
23 Pages

Assessment of Ecosystem Service Value in Response to LULC Changes Using Geospatial Techniques: A Case Study in the Merbil Wetland of the Brahmaputra Valley, Assam, India

  • Durlov Lahon,
  • Dhrubajyoti Sahariah,
  • Jatan Debnath,
  • Nityaranjan Nath,
  • Gowhar Meraj,
  • Pankaj Kumar,
  • Shizuka Hashimoto and
  • Majid Farooq

The alteration of land use and land cover caused by human activities on a global scale has had a notable impact on ecosystem services at regional and global levels, which are crucial for the survival and welfare of human beings. Merbil, a small fresh...

  • Systematic Review
  • Open Access
38 Citations
17,560 Views
30 Pages

Public urban spaces are vital settings for fostering social interaction among people. However, understanding how spatial layouts can promote positive social behaviors remains a critical and debated challenge for urban designers and planners aiming to...

  • Article
  • Open Access
37 Citations
4,997 Views
26 Pages

In China’s fourteenth five-year plan, urban regeneration has become one of the most crucial strategies for activating the existing cities. Since creating vibrant urban spaces is a critical component of urban regeneration, understanding the patt...

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ISPRS Int. J. Geo-Inf. - ISSN 2220-9964