Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review
The unprecedented outbreak of the novel coronavirus (COVID-19), during early December
2019 in Wuhan, China, has quickly evolved into a global pandemic, became a matter of …
2019 in Wuhan, China, has quickly evolved into a global pandemic, became a matter of …
[PDF][PDF] Smart airport: A review on future of the airport operation
A Rajapaksha, N Jayasuriya - Global Journal of Management and …, 2020 - researchgate.net
Smart Airport concept is the future of Airport operation and it may dramatically change the
industry towards modern technology adaptation. This study mainly focuses on the Smart …
industry towards modern technology adaptation. This study mainly focuses on the Smart …
Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network
Tumor in brain is an anthology of anomalous cells. It leads to increase in death rate among
humans. Therefore, in this manuscript, a fusion process is proposed to combine structural …
humans. Therefore, in this manuscript, a fusion process is proposed to combine structural …
Integrated design of deep features fusion for localization and classification of skin cancer
The common fatal type of skin cancer is melanoma. Recently, numerous intelligent systems
are used to detect skin cancer at an early stage. These systems are helpful for a …
are used to detect skin cancer at an early stage. These systems are helpful for a …
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
Human gait recognition (HGR) shows high importance in the area of video surveillance due
to remote access and security threats. HGR is a technique commonly used for the …
to remote access and security threats. HGR is a technique commonly used for the …
[HTML][HTML] Categorizing white blood cells by utilizing deep features of proposed 4B-AdditionNet-based CNN network with ant colony optimization
White blood cells, WBCs for short, are an essential component of the human immune
system. These cells are our body's first line of defense against infections and diseases …
system. These cells are our body's first line of defense against infections and diseases …
Influencing brain waves by evoked potentials as biometric approach: taking stock of the last six years of research
The scientific advances of recent years have made available to anyone affordable hardware
devices capable of doing something unthinkable until a few years ago, the reading of brain …
devices capable of doing something unthinkable until a few years ago, the reading of brain …
A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection
RC Contreras, LG Nonato, M Boaventura… - IEEE …, 2022 - ieeexplore.ieee.org
The use of user recognition and authentication systems has become very common and is
part of everyday routines for many people, guaranteeing access to the automatic teller …
part of everyday routines for many people, guaranteeing access to the automatic teller …
Human Gait Recognition using Deep Learning: A Comprehensive Review
Gait recognition (GR) is a growing biometric modality used for person identification from a
distance through visual cameras. GR provides a secure and reliable alternative to fingerprint …
distance through visual cameras. GR provides a secure and reliable alternative to fingerprint …
[HTML][HTML] Face recognition on a smart image sensor using local gradients
In this paper, we present the architecture of a smart imaging sensor (SIS) for face
recognition, based on a custom-design smart pixel capable of computing local spatial …
recognition, based on a custom-design smart pixel capable of computing local spatial …