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Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions
MA Moharram, DM Sundaram - Neurocomputing, 2023 - Elsevier
Recently, many efforts have been concentrated on land use land cover (LULC) classification
due to rapid urbanization, environmental pollution, agriculture drought, frequent floods, and …
due to rapid urbanization, environmental pollution, agriculture drought, frequent floods, and …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
Machine learning techniques to detect and forecast the daily total COVID‐19 infected and deaths cases under different lockdown types
T Saba, I Abunadi, MN Shahzad… - Microscopy Research …, 2021 - Wiley Online Library
COVID‐19 has impacted the world in many ways, including loss of lives, economic downturn
and social isolation. COVID‐19 was emerged due to the SARS‐CoV‐2 that is highly …
and social isolation. COVID‐19 was emerged due to the SARS‐CoV‐2 that is highly …
Current technologies for detection of COVID-19: Biosensors, artificial intelligence and internet of medical things (IOMT)
Despite the fact that COVID-19 is no longer a global pandemic due to development and
integration of different technologies for the diagnosis and treatment of the disease …
integration of different technologies for the diagnosis and treatment of the disease …
Deep learning based hybrid intrusion detection systems to protect satellite networks
Despite the fact that satellite-terrestrial systems have advantages such as high throughput,
low latency, and low energy consumption, as well as low exposure to physical threats and …
low latency, and low energy consumption, as well as low exposure to physical threats and …
An extensive review on lung cancer diagnosis using machine learning techniques on radiological data: state-of-the-art and perspectives
Cancer of the lung is a killer illness that often results from a combination of genetic
disposition and many clinical changes. The lung region of the body contains cancerous cells …
disposition and many clinical changes. The lung region of the body contains cancerous cells …
Viral reverse engineering using Artificial Intelligence and big data COVID-19 infection with Long Short-term Memory (LSTM)
This research presents a reverse engineering approach to discover the patterns and
evolution behavior of SARS-CoV-2 using AI and big data. Accordingly, we have studied five …
evolution behavior of SARS-CoV-2 using AI and big data. Accordingly, we have studied five …
Deep convolutional generative adversarial network for Alzheimer's disease classification using positron emission tomography (PET) and synthetic data augmentation
With the evolution of deep learning technologies, computer vision‐related tasks achieved
tremendous success in the biomedical domain. For supervised deep learning training, we …
tremendous success in the biomedical domain. For supervised deep learning training, we …
A comprehensive review of machine learning used to combat COVID-19
Coronavirus disease (COVID-19) has had a significant impact on global health since the
start of the pandemic in 2019. As of June 2022, over 539 million cases have been confirmed …
start of the pandemic in 2019. As of June 2022, over 539 million cases have been confirmed …
Generative adversarial u-net for domain-free few-shot medical diagnosis
In interactive remote medical diagnosis, medical diagnosis support system plays an
important role in the pre-screening stage. Deep learning methods are widely used in such …
important role in the pre-screening stage. Deep learning methods are widely used in such …