A survey of convolutional neural networks: analysis, applications, and prospects
A convolutional neural network (CNN) is one of the most significant networks in the deep
learning field. Since CNN made impressive achievements in many areas, including but not …
learning field. Since CNN made impressive achievements in many areas, including but not …
A comprehensive overview of biometric fusion
The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …
fingerprints only) is often stymied by various factors such as poor data quality or limited …
Deep learning for multigrade brain tumor classification in smart healthcare systems: A prospective survey
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …
recognition is a challenging problem for radiologists in health monitoring and automated …
Multi-grade brain tumor classification using deep CNN with extensive data augmentation
Numerous computer-aided diagnosis (CAD) systems have been recently presented in the
history of medical imaging to assist radiologists about their patients. For full assistance of …
history of medical imaging to assist radiologists about their patients. For full assistance of …
Efficient fire detection for uncertain surveillance environment
Tactile Internet can combine multiple technologies by enabling intelligence via mobile edge
computing and data transmission over a 5G network. Recently, several convolutional neural …
computing and data transmission over a 5G network. Recently, several convolutional neural …
A comprehensive survey of multi-view video summarization
There has been an exponential growth in the amount of visual data on a daily basis
acquired from single or multi-view surveillance camera networks. This massive amount of …
acquired from single or multi-view surveillance camera networks. This massive amount of …
Violence detection using spatiotemporal features with 3D convolutional neural network
The worldwide utilization of surveillance cameras in smart cities has enabled researchers to
analyze a gigantic volume of data to ensure automatic monitoring. An enhanced security …
analyze a gigantic volume of data to ensure automatic monitoring. An enhanced security …
BAuth-ZKP—A blockchain-based multi-factor authentication mechanism for securing smart cities
The overwhelming popularity of technology-based solutions and innovations to address day-
to-day processes has significantly contributed to the emergence of smart cities. where …
to-day processes has significantly contributed to the emergence of smart cities. where …
Generative adversarial network in the air: Deep adversarial learning for wireless signal spoofing
Y Shi, K Davaslioglu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The spoofing attack is critical to bypass physical-layer signal authentication. This paper
presents a deep learning-based spoofing attack to generate synthetic wireless signals that …
presents a deep learning-based spoofing attack to generate synthetic wireless signals that …
Machine learning in identity and access management systems: Survey and deep dive
S Aboukadri, A Ouaddah, A Mezrioui - Computers & Security, 2024 - Elsevier
The evolution of identity and access management (IAM) has been driven by the expansion
of online services, cloud computing, and the Internet of Things (IoT). The proliferation of …
of online services, cloud computing, and the Internet of Things (IoT). The proliferation of …