AIMC Topic: Geographic Information Systems

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Fuzzy-based models' performance on qualitative and quantitative land suitability evaluation for cotton cultivation in Sarayan County, South Khorasan Province, Iran.

Environmental monitoring and assessment Mar 20, 2023
Using appropriate models in the land use planning process will help increase the accuracy and precision of decisions made by designers. The aim of this study was to investigate and compare fuzzy-based models (fuzzy set theory, fuzzy-AHP, and fuzzy-AN...
Soil Environmental Monitoring Fuzzy Logic Iran Geographic Information Systems Models, Theoretical
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Efficacy of GIS-based AHP and data-driven intelligent machine learning algorithms for irrigation water quality prediction in an agricultural-mine district within the Lower Benue Trough, Nigeria.

Environmental science and pollution research international Feb 1, 2023
Agricultural productivity can be impaired by poor irrigation water quality. Therefore, adequate vulnerability assessment and identification of the most influential water quality parameters for accurate prediction becomes crucial for enhanced water re...
Agricultural Irrigation Environmental Monitoring Water Quality Machine Learning Algorithms Nigeria Agriculture Geographic Information Systems
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Evaluation and prediction of irrigation water quality of an agricultural district, SE Nigeria: an integrated heuristic GIS-based and machine learning approach.

Environmental science and pollution research international Jan 9, 2023
Poor irrigation water quality can mar agricultural productivity. Traditional assessment of irrigation water quality usually requires the computation of various conventional quality parameters, which is often time-consuming and associated with errors ...
Machine Learning Geographic Information Systems Nigeria Neural Networks, Computer Water Quality Agriculture Agricultural Irrigation Environmental Monitoring
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GPS Spoofing Detection Method for Small UAVs Using 1D Convolution Neural Network.

Sensors (Basel, Switzerland) Dec 2, 2022
The navigation of small unmanned aerial vehicles (UAVs), such as quadcopters, significantly relies on the global positioning system (GPS); however, UAVs are vulnerable to GPS spoofing attacks. GPS spoofing is an attempt to manipulate a GPS receiver b...
Algorithms Geographic Information Systems Neural Networks, Computer Support Vector Machine
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Application of GIS Technology-Supported Cross Media Fusion Method Based on Deep Learning in Landscape Performance Evaluation.

Computational intelligence and neuroscience Sep 8, 2022
GIS technology can provide reasonable and sustainable data support for landscape planning and ecological development and make wetland landscape planning consider the spatial layout of landscape and the optimal allocation of resources more. The key te...
Neural Networks, Computer Algorithms Geographic Information Systems Deep Learning Technology Humans
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Flood susceptibility evaluation through deep learning optimizer ensembles and GIS techniques.

Journal of environmental management May 19, 2022
It is difficult to predict and model with an accurate model the floods, that are one of the most destructive risks across the earth's surface. The main objective of this research is to show the prediction power of three ensemble algorithms with respe...
Floods Neural Networks, Computer Geographic Information Systems Deep Learning Algorithms
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A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran.

Sensors (Basel, Switzerland) Feb 17, 2022
We mapped landslide susceptibility in Kamyaran city of Kurdistan Province, Iran, using a robust deep-learning (DP) model based on a combination of extreme learning machine (ELM), deep belief network (DBN), back propagation (BP), and genetic algorithm...
Landslides Support Vector Machine Iran Geographic Information Systems Deep Learning
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Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network's Big Data.

Computational and mathematical methods in medicine Nov 30, 2021
The current article paper is aimed at assessing and comparing the seasonal check-in behavior of individuals in Shanghai, China, using location-based social network (LBSN) data and a variety of spatiotemporal analytic techniques. The article demonstra...
China Data Mining Geographic Information Systems Social Media Social Networking Big Data Humans Spatio-Temporal Analysis Travel Computational Biology Seasons Cities Machine Learning Decision Trees
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Artificial Intelligence in Geospatial Analysis for Flood Vulnerability Assessment: A Case of Dire Dawa Watershed, Awash Basin, Ethiopia.

TheScientificWorldJournal Nov 22, 2021
This study presents the novelty artificial intelligence in geospatial analysis for flood vulnerability assessment in Dire Dawa, Ethiopia. Flood-causing factors such as rainfall, slope, LULC, elevation NDVI, TWI, SAVI, K-factor, R-factor, river distan...
Geographic Information Systems Floods Artificial Intelligence Cities Ethiopia Environmental Monitoring Rivers
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Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma.

Scientific reports May 13, 2021
Post-traumatic stress disorder (PTSD) is characterized by complex, heterogeneous symptomology, thus detection outside traditional clinical contexts is difficult. Fortunately, advances in mobile technology, passive sensing, and analytics offer promisi...
Humans Artificial Intelligence Longitudinal Studies Geographic Information Systems Young Adult Child Psychiatric Status Rating Scales Adult Stress Disorders, Post-Traumatic
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