Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions

IH Sarker - SN computer science, 2021 - Springer
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …

Skin cancer detection: a review using deep learning techniques

M Dildar, S Akram, M Irfan, HU Khan… - International journal of …, 2021 - mdpi.com
Skin cancer is one of the most dangerous forms of cancer. Skin cancer is caused by un-
repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or …

On big data, artificial intelligence and smart cities

Z Allam, ZA Dhunny - Cities, 2019 - Elsevier
Cities are increasingly turning towards specialized technologies to address issues related to
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …

Disruptive technologies as a solution for disaster risk management: A review

HS Munawar, M Mojtahedi, AWA Hammad… - Science of the total …, 2022 - Elsevier
Integrating disruptive technologies within smart cities improves the infrastructure needed to
potentially deal with disasters. This paper provides a perspective review of disruptive …

Big data analytics deep learning techniques and applications: A survey

HA Selmy, HK Mohamed, W Medhat - Information systems, 2024 - Elsevier
Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …

A systematic review of prediction methods for emergency management

D Huang, S Wang, Z Liu - International Journal of Disaster Risk Reduction, 2021 - Elsevier
With the trend of global warming and destructive human activities, the frequent occurrences
of catastrophes have posed devastating threats to human life and social stability worldwide …

A real-time smart sewage cleaning UAV assistance system using IoT

P Iyyanar, R Anand, T Shanthi, VK Nassa… - … of Research on Data …, 2023 - igi-global.com
There is a boom in autonomous systems with rapid technological development that cannot
adapt without human interaction to actual life conditions. Such programs will free people …

Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects

AN Muhammad, AM Aseere, H Chiroma… - Neural computing and …, 2021 - Springer
The purpose of smart city is to enhance the optimal utilization of scarce resources and
improve the resident's quality of live. The smart cities employed Internet of Things (IoT) to …

[HTML][HTML] Digital post-disaster risk management twinning: a review and improved conceptual framework

U Lagap, S Ghaffarian - International Journal of Disaster Risk Reduction, 2024 - Elsevier
Digital Twins (DT) is the real-time virtual representation of systems, communities, cities, or
even human beings with the substantial potential to revolutionize post-disaster risk …

Smarter traffic prediction using big data, in-memory computing, deep learning and GPUs

M Aqib, R Mehmood, A Alzahrani, I Katib, A Albeshri… - Sensors, 2019 - mdpi.com
Road transportation is the backbone of modern economies, albeit it annually costs 1.25
million deaths and trillions of dollars to the global economy, and damages public health and …