A study on predicting crime rates through machine learning and data mining using text

Autor: Saeed Ruaa Mohammed, Abdulmohsin Husam Ali

Publikováno v: Journal of Intelligent Systems, Vol 32, Iss 1, Pp 70080-94 (2023)

Crime is a threat to any nation’s security administration and jurisdiction. Therefore, crime analysis becomes increasingly important because it assigns the time and place based on the collected spatial and temporal data. However, old techniques, su

Externí odkaz: https://doaj.org/article/1467625db3f04aab9eebc1d9aa2d2ad2

On a method for location and mobility analytics using location-based services: a case study of retail store recommendation

Autor: Chen, Yuh-Min, Chen, Tsung-Yi, Chen, Lyu-Cian

Publikováno v: Online Information Review, 2020, Vol. 45, Issue 2, pp. 297-315.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/OIR-10-2017-0292

Tracks in the Snow – Advantage of Combining Optical Methods to Characterize Marine Particles and Aggregates

Autor: Thor N. Markussen, Christian Konrad, Christoph Waldmann, Marius Becker, Gerhard Fischer, Morten H. Iversen

Publikováno v: Frontiers in Marine Science, Vol 7 (2020)

Settling marine aggregates, such as zooplankton fecal pellets and marine snow, transport organic matter from the surface ocean to the deep sea and are largely responsible for the ocean’s sequestration of carbon. However, our understanding of the fu

Externí odkaz: https://doaj.org/article/e126c4afbce44403ac6b8517a1316dfa

Generating Daily Synthetic Landsat Imagery by Combining Landsat and MODIS Data

Autor: Mingquan Wu, Wenjiang Huang, Zheng Niu, Changyao Wang

Publikováno v: Sensors, Vol 15, Iss 9, Pp 24002-24025 (2015)

Owing to low temporal resolution and cloud interference, there is a shortage of high spatial resolution remote sensing data. To address this problem, this study introduces a modified spatial and temporal data fusion approach (MSTDFA) to generate dail

Externí odkaz: https://doaj.org/article/7d982285003d403cb3d17810b6655d25

Intégration sémantique de données Raster pour l'observation de la Terre sur des unités territoriales

Autor: Tran, Ba-Huy, Aussenac-Gilles, Nathalie, Trojahn, Cassia, Comparot, Catherine

Publikováno v: IC 2022 : Journées Francophones d'Ingénierie des connaissances @ PFIA 2022
33èmes Journées Francophones d'Ingénierie des Connaissances (IC 2022)
33èmes Journées Francophones d'Ingénierie des Connaissances (IC 2022), Jun 2022, Saint-Etienne, France. pp.92-94

In Earth Observation, the raster format, standard for data and image representation, is not well suited to characterize areas of interest by pixel values alone. We propose to semantically integrate raster data with other data according to their spati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::57300fb2453fda7bb4dd800549764eda
https://hal.science/hal-03760543/file/IC_CANDELA_resume_2022.pdf