Titlebook: Geospatial Intelligence; Applications and Fut Fatimazahra Barramou,El Hassan El Brirchi,Youness Book 2022 The Editor(s) (if applicable) an

INFER

書目名稱Geospatial Intelligence影響因子(影響力)




書目名稱Geospatial Intelligence影響因子(影響力)學(xué)科排名




書目名稱Geospatial Intelligence網(wǎng)絡(luò)公開度




書目名稱Geospatial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Geospatial Intelligence被引頻次




書目名稱Geospatial Intelligence被引頻次學(xué)科排名




書目名稱Geospatial Intelligence年度引用




書目名稱Geospatial Intelligence年度引用學(xué)科排名




書目名稱Geospatial Intelligence讀者反饋




書目名稱Geospatial Intelligence讀者反饋學(xué)科排名

fidelity

HILAR

Geospatial Forecasting and Social Media Exploration Based on Sentiment Analysis: Application to Flooper offers a different approach of geospatial flood prediction. The method relies on social behavior displayed and made available by users of the platform Twitter. A sentiment analysis method is developed in order to identify users’ reactions to inundations according to their geospatial location, wh

神經(jīng)

Enhancing the Management of Traffic Sequence Following Departure Trajectoriesimated time to reach the holding point to involve a better use of the departure trajectories. This work will also offer a comparative study of various numbers of aircrafts and show the gained time in comparison with the FCFS concept.

規(guī)范要多

A Multiagent and Machine Learning Based Denial of Service Intrusion Detection System for Drone Netwond highly critical. The proposed approach has made it possible to detect DoS attacks using multi-agent systems and the machine learning Decision Tree algorithm, which was chosen after testing several machine learning algorithms (Such as Random Forest, Decision Tree, Tree Ensemble, Na?ve Bayes, Suppo

背心

Artificial and Geospatial Intelligence Driven Digital Twins’ Architecture Development Against the Wos developed smart engines prevent the occurrence of unpredictable events. Secondly, by integrating to this combination, location intelligence provides multi-perspective modelling and geo-statistic data integration with real-time operational data into digital twins offers a generic system for prognos

背心

Monitoring Land Productivity Trends in Souss-Massa Region Using Landsat Time Series Data to Support he comparison period was the one between 2016 and 2019. The results of this research showed that in the 4 years between 2016 and 2019, the Souss-Massa region has experienced remarkable changes in land degradation. We noted that 7.11% of the area of the region shows some improvement compared to 4.51%

品牌

Lithological Mapping for a Semi-arid Area Using GEOBIA and PBIA Machine Learning Approaches with Sen Random Forest (RF) machine learning algorithms (MLAs), and Geographic Object-Based Image Analysis (GEOBIA) were assessed and compared. PBIA method involved selection of training areas whether it was k-NN or RF MLAs, and produced lithological maps that exhibit “salt and pepper” effects as well as pr

dura-mater

FIR

Roland Jabre,Brenna McElenney,Peter Nakajil describes the functionalities of the agents. The agents receive data in real time, perform the operations of storing data, pre-processing, streaming processing and batch processing and finally transfer the results of analysis to the services and applications. Machine learning techniques can be use