Search Results - "Alamri, Abdullah"
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Cloud of Things in Crowd Engineering: A Tile-Map-Based Method for Intelligent Monitoring of Outdoor Crowd Density
Published in Sensors (Basel, Switzerland) (26-04-2022)“…Managing citizen and community safety is one of the most essential services that future cities will require. Crowd analysis and monitoring are also a high…”
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Long lead time drought forecasting using lagged climate variables and a stacked long short-term memory model
Published in The Science of the total environment (10-02-2021)“…Drought forecasting with a long lead time is essential for early warning systems and risk management strategies. The use of machine learning algorithms has…”
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3
Semantic-Linked Data Ontologies for Indoor Navigation System in Response to COVID-19
Published in ISPRS international journal of geo-information (01-09-2021)“…Indoor navigation has become more important these days due to the current situation worldwide in the aftermath of the outbreak of the COVID-19 pandemic, posing…”
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Ontology Middleware for Integration of IoT Healthcare Information Systems in EHR Systems
Published in Computers (Basel) (01-12-2018)“…Healthcare sectors have been at the forefront of the adoption and use of IoT technologies for efficient healthcare diagnosis and treatment. Because healthcare…”
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Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review
Published in Remote sensing (Basel, Switzerland) (01-05-2020)“…One of the most challenging research subjects in remote sensing is feature extraction, such as road features, from remote sensing images. Such an extraction…”
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6
Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques
Published in Sensors (Basel, Switzerland) (19-03-2020)“…Four state-of-the-art metaheuristic algorithms including the genetic algorithm (GA), particle swarm optimization (PSO), differential evolutionary (DE), and ant…”
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Earthquake hazard and risk assessment using machine learning approaches at Palu, Indonesia
Published in The Science of the total environment (20-12-2020)“…On 28th September 2018, a very high magnitude of earthquake Mw 7.5 struck the Palu city in the Island of Sulawesi, Indonesia. The main objective of this…”
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Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review
Published in Applied sciences (01-04-2020)“…Landslides are one of the most devastating and recurring natural disasters and have affected several mountainous regions across the globe. The Indian Himalayan…”
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IoT-Based Geotechnical Monitoring of Unstable Slopes for Landslide Early Warning in the Darjeeling Himalayas
Published in Sensors (Basel, Switzerland) (03-05-2020)“…In hilly areas across the world, landslides have been an increasing menace, causing loss of lives and properties. The damages instigated by landslides in the…”
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10
VNet: An End-to-End Fully Convolutional Neural Network for Road Extraction From High-Resolution Remote Sensing Data
Published in IEEE access (2020)“…One of the most important tasks in the advanced transportation systems is road extraction. Extracting road region from high-resolution remote sensing imagery…”
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11
Differential expression and regulation of ADAD1, DMRTC2, PRSS54, SYCE1, SYCP1, TEX101, TEX48, and TMPRSS12 gene profiles in colon cancer tissues and their in vitro response to epigenetic drugs
Published in PloS one (29-08-2024)“…Colon cancer (CC) is a significant cause of death worldwide, particularly in Saudi Arabia. To increase the accuracy of diagnosis and treatment, it is important…”
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Explainable AI in Scene Understanding for Autonomous Vehicles in Unstructured Traffic Environments on Indian Roads Using the Inception U-Net Model with Grad-CAM Visualization
Published in Sensors (Basel, Switzerland) (10-12-2022)“…The intelligent transportation system, especially autonomous vehicles, has seen a lot of interest among researchers owing to the tremendous work in modern…”
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13
Temporal Hydrological Drought Index Forecasting for New South Wales, Australia Using Machine Learning Approaches
Published in Atmosphere (01-06-2020)“…Droughts can cause significant damage to agriculture and water resources leading to severe economic losses. One of the most important aspects of drought…”
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14
Building Footprint Extraction from High Resolution Aerial Images Using Generative Adversarial Network (GAN) Architecture
Published in IEEE access (2020)“…Building extraction with high accuracy using semantic segmentation from high-resolution remotely sensed imagery has a wide range of applications like urban…”
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15
Drought Vulnerability Assessment Using Geospatial Techniques in Southern Queensland, Australia
Published in Sensors (Basel, Switzerland) (18-10-2021)“…In Australia, droughts are recurring events that tremendously affect environmental, agricultural and socio-economic activities. Southern Queensland is one of…”
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Spatial Landslide Risk Assessment at Phuentsholing, Bhutan
Published in Geosciences (Basel) (01-04-2020)“…Landslides are one of the most destructive and most recurring natural calamities in the Himalayan region. Their occurrence leads to immense damage to…”
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Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data
Published in Remote sensing (Basel, Switzerland) (01-09-2021)“…Terrestrial features extraction, such as roads and buildings from aerial images using an automatic system, has many usages in an extensive range of fields,…”
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RoadVecNet: a new approach for simultaneous road network segmentation and vectorization from aerial and google earth imagery in a complex urban set-up
Published in GIScience and remote sensing (03-10-2021)“…In this study, we present a new automatic deep learning-based network named Road Vectorization Network (RoadVecNet), which comprises interlinked UNet networks…”
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A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
Published in IEEE transactions on emerging topics in computing (01-09-2014)“…Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern…”
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Short-Term Spatio-Temporal Drought Forecasting Using Random Forests Model at New South Wales, Australia
Published in Applied sciences (01-06-2020)“…Droughts can cause significant damage to agriculture and water resources, leading to severe economic losses and loss of life. One of the most important aspect…”
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