標題: Titlebook: Geospatial Intelligence; Applications and Fut Fatimazahra Barramou,El Hassan El Brirchi,Youness Book 2022 The Editor(s) (if applicable) an [打印本頁] 作者: INFER 時間: 2025-3-21 17:57
書目名稱Geospatial Intelligence影響因子(影響力)
作者: fidelity 時間: 2025-3-21 21:27 作者: HILAR 時間: 2025-3-22 02:17
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作者: 神經(jīng) 時間: 2025-3-22 05:02
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.作者: 規(guī)范要多 時間: 2025-3-22 11:22
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作者: 背心 時間: 2025-3-22 15:48
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作者: 背心 時間: 2025-3-22 17:18
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%作者: 品牌 時間: 2025-3-23 01:09
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作者: dura-mater 時間: 2025-3-23 03:20 作者: FIR 時間: 2025-3-23 07:52
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作者: grounded 時間: 2025-3-23 11:56
Peripheral Artery Vascular Emergency,per 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作者: PRE 時間: 2025-3-23 14:54 作者: Respond 時間: 2025-3-23 18:50 作者: crumble 時間: 2025-3-23 22:21
https://doi.org/10.1007/978-3-663-01735-6s 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作者: 送秋波 時間: 2025-3-24 02:44 作者: 雄辯 時間: 2025-3-24 09:07 作者: 炸壞 時間: 2025-3-24 11:58 作者: 萬花筒 時間: 2025-3-24 16:14 作者: 不愛防注射 時間: 2025-3-24 19:37
Book 2022, urban planning, geology, transportation, and 3D city models. It introduces techniques which range from machine and deep learning to remote sensing for geospatial data analysis..The book consists of two main parts that include 13 chapters contributed by promising authors. The first part deals with 作者: plasma-cells 時間: 2025-3-25 02:25
https://doi.org/10.1057/9780230244719nsity, elevation, roughness, and aspect. A susceptibility index map was generated in the Aknoul Region in the Rif to illustrate the CNN results. We found that areas with very high susceptibility index are affected the most by landslides.作者: bourgeois 時間: 2025-3-25 03:39
Subimages-Based Approach for Landslide Susceptibility Mapping Using Convolutional Neural Networknsity, elevation, roughness, and aspect. A susceptibility index map was generated in the Aknoul Region in the Rif to illustrate the CNN results. We found that areas with very high susceptibility index are affected the most by landslides.作者: MELD 時間: 2025-3-25 07:39
https://doi.org/10.1007/978-3-642-80381-9ad Dataset, which is publicly available. The results obtained showed excellent performance in terms of recall, precision, accuracy, and F1 score, and they are very close to the ground truth; it outperforms all other models presented, with a high accuracy of 97.7%.作者: landfill 時間: 2025-3-25 14:03 作者: Gobble 時間: 2025-3-25 19:48
Deep Convolution Neural Network for Automated Method of Road Extraction on Aerial Imageryad Dataset, which is publicly available. The results obtained showed excellent performance in terms of recall, precision, accuracy, and F1 score, and they are very close to the ground truth; it outperforms all other models presented, with a high accuracy of 97.7%.作者: dendrites 時間: 2025-3-25 23:16
Toward a Deep Learning Approach for Automatic Semantic Segmentation of 3D Lidar Point Clouds in Urbaand other sources in conjunction with a Deep Learning technique whose objective is to automatically extract semantic information from airborne Lidar point clouds by enhancing both accuracy and semantic precision compared to the existing methods. We finally present the first results of our approach.作者: 安定 時間: 2025-3-26 03:12 作者: muscle-fibers 時間: 2025-3-26 04:54
The Conscious Agent and the Hope of Progressy cover, then estimating the dry biomass using a simple regression model that estimates the weight of a single rosemary tuff. The results are maps of the rosemary cover density where the random forest classifier gave high validation scores (67.5, 75.5, and 80%). The tuff weight estimator gave an accuracy of 7%.作者: Nuance 時間: 2025-3-26 10:28 作者: 膽小懦夫 時間: 2025-3-26 14:57 作者: Creatinine-Test 時間: 2025-3-26 17:35
Opportunities for Artificial Intelligence in Precision Agriculture Using Satellite Remote Sensingusing satellite remote sensing, and concern recent studies were conducted in the latest years 2019–2020. The accent was also pointed to the potential of AI in precision agriculture, the challenges, future needs, and trends in the field.作者: BOOST 時間: 2025-3-26 21:03
Towards a Multi-agents Model for Automatic Big Data Processing to Support Urban Planningn planning. The huge amounts of collected data from different domains, such as urban management and remote sensing, are characterized as big data with a spatial component. Smart data is the approach to deal with big data characteristics and challenges by focusing on the Value aspect. The focus on sm作者: amenity 時間: 2025-3-27 05:08 作者: 實現(xiàn) 時間: 2025-3-27 06:03 作者: 諂媚于人 時間: 2025-3-27 11:23
Enhancing the Management of Traffic Sequence Following Departure Trajectoriesganizations (such as the Euro control and International Civil Aviation Organization—ICAO) following their departure trajectories (the standard instrument departures—SIDs or omnidirectional trajectories), answering to the order of aircrafts’ demands of taxiing and taking off, especially when followin作者: Keratin 時間: 2025-3-27 13:42
A Multiagent and Machine Learning Based Denial of Service Intrusion Detection System for Drone NetwoDoS) cyber-attacks targeting the networks of drones. The proposed model is autonomous, characterized by its high performance and enables the detection of known and unknown DoS attacks in UAV networks with high accuracy and low false-positives and false-negatives rates. This approach is intended to a作者: CLEAR 時間: 2025-3-27 20:48 作者: Rejuvenate 時間: 2025-3-27 22:17 作者: Fretful 時間: 2025-3-28 05:09
Opportunities for Artificial Intelligence in Precision Agriculture Using Satellite Remote Sensing (AI). The huge amount of high-resolution remotely sensed data, the development of frameworks, and machine learning (ML) algorithms have made the analysis of raw data more advanced and precise. Artificial intelligence had unlocked a new perspective to solve sophisticated challenges in agriculture. T作者: HAWK 時間: 2025-3-28 09:46 作者: Apoptosis 時間: 2025-3-28 12:23
Subimages-Based Approach for Landslide Susceptibility Mapping Using Convolutional Neural Networkes and propose solutions. An essential tool for landslide risk management is landslide susceptibility maps. In this paper, we developed a Convolutional Neural Network (CNN) model capable of producing a susceptibility map using seven explanatory variables: lithology, slope, drainage density, fault de作者: Ancillary 時間: 2025-3-28 15:04
Lithological Mapping for a Semi-arid Area Using GEOBIA and PBIA Machine Learning Approaches with Sent can automatically and promptly identify lithological units over large areas. Most available Pixel-Object Based comparative classification studies have been applied to land use land cover (LULC) studies; however, this research aims to evaluate and compare the performance of these digital classifica作者: Banister 時間: 2025-3-28 19:14
Optimization of Object-Based Image Analysis with Genetic Programming to Generate Explicit Knowledge ms, especially the evolutionary process, can extract useful knowledge that can be used in different fields. In this paper, object-oriented classification was used, more particularly, the object-based image analysis approach (OBIA) is used to classify a large feature space composed of a very high spa作者: 放縱 時間: 2025-3-29 00:05 作者: nautical 時間: 2025-3-29 03:23 作者: Motilin 時間: 2025-3-29 08:13 作者: AVANT 時間: 2025-3-29 15:11
Peripheral Artery Vascular Emergency,nts and Natural Language Processing (NLP) tools. This approach has been applied to flood forecasting to mitigate future risks and flood damage since the dynamics of real-world events such as floods prompt users to discuss the topic. The approach is based on the appropriate filtering and preprocessin作者: 使更活躍 時間: 2025-3-29 17:37
https://doi.org/10.1007/978-3-642-80381-9, but they turn out to be a complex task due to the complexity of the objects. This paper discusses issues related to the detection and segmentation of roads in very high-resolution aerial images. In order to resolve these issues, we propose in this paper the use, deployment, and validation of deep 作者: TOXIN 時間: 2025-3-29 22:51
L. W. Storz,D. Lorenz,J. Winterganizations (such as the Euro control and International Civil Aviation Organization—ICAO) following their departure trajectories (the standard instrument departures—SIDs or omnidirectional trajectories), answering to the order of aircrafts’ demands of taxiing and taking off, especially when followin作者: 閃光東本 時間: 2025-3-30 01:52
H. Schumacher,N. Diehm,J. R. AllenbergDoS) cyber-attacks targeting the networks of drones. The proposed model is autonomous, characterized by its high performance and enables the detection of known and unknown DoS attacks in UAV networks with high accuracy and low false-positives and false-negatives rates. This approach is intended to a作者: 羞辱 時間: 2025-3-30 05:29 作者: 詩集 時間: 2025-3-30 10:48 作者: 正式演說 時間: 2025-3-30 13:42
