Google Earth Engine (GEE) cloud computing based crop classification using radar, optical images and Support Vector Machine Algorithm (SVM)

M Awad - 2021 IEEE 3rd International Multidisciplinary …, 2021 - ieeexplore.ieee.org
Successful crop classification process requires a reliable and efficient source of data and
algorithms. Known classification algorithms or sources of data are not considered as definite …

Smart border surveillance system using wireless sensor network and computer vision

N Bhadwal, V Madaan, P Agrawal… - 2019 international …, 2019 - ieeexplore.ieee.org
Border surveillance is the most important task in the field of national defense and security.
To maintain peace and to ensure safety of a country's people, the borders need to be kept …

[HTML][HTML] A Comprehensive Deep Learning Approach for Harvest Ready Sugarcane Pixel Classification in Punjab, Pakistan Using Sentinel-2 Multispectral Imagery

S Muqaddas, WS Qureshi, H Jabbar, A Munir… - Remote Sensing …, 2024 - Elsevier
Sugarcane is an important crop for the production of sugar and ethanol, and its area has
increased significantly in recent decades in tropical and subtropical regions. Pakistan is …

iMars: intelligent municipality augmented reality service for efficient information dissemination based on deep learning algorithm in smart city of Jeddah

AH Basori, AL bin Abdul Hamid, ABF Mansur… - Procedia Computer …, 2019 - Elsevier
A smart city is one of a huge transformation in these millennia, where it combines latest and
advanced technology to overcome the daily basis problem of humans. Artificial intelligence …

[HTML][HTML] Evaluation of convolutional neural networks for urban mapping using satellite images

M Mohammadi, A Sharifi - Journal of the Indian Society of Remote …, 2021 - Springer
Very high resolution (VHR) satellite imagery and image processing algorithms allow for the
development of remote sensing applications including multi-temporal classification, tracking …

An analytical approach for soil and land classification system using image processing

AV Deorankar, AA Rohankar - 2020 5th International …, 2020 - ieeexplore.ieee.org
In the last few decades researchers are interested in land mapping and its classification due
to various reasons. The reasons for an increase in the focus of the research community are …

[HTML][HTML] Automating global threat-maps generation via advancements of news sensors and AI

FK Sufi, M Alsulami, A Gutub - Arabian Journal for Science and …, 2023 - Springer
Negative events are prevalent all over the globe round the clock. People demonstrate
psychological affinity to negative events, and they incline to stay away from troubled …

Development of smart campus applications based on wireless technologies using open-source platforms

NFA Rashid, AM Noh, NZS Azam, NN Wahid… - Jurnal …, 2022 - journals.utm.my
Malaysian National Center for Education estimates that students' enrolments will increase to
17.2 million by 2028. The conventional way of managing things around campus work can be …

[HTML][HTML] Adaptive convolutional neural network using N-gram for spatial object recognition

JJ Bapu, DJ Florinabel, YH Robinson, EG Julie… - Earth Science …, 2019 - Springer
Remote sensing applications are playing a vital role to improve the commercial satellite
imagery with high resolution. In the spatial information system, object detection is the basic …

Wireless sensor network for environmental monitoring in hill areas as a preventive measure of global warming

HR Singh - International Journal of Advances in Signal and Image …, 2019 - xlescience.org
Abstract Wireless Sensor Network (WSN) is used in various applications such as area
monitoring, healthcare monitoring, industrial and environmental monitoring and so on …