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Biometrics recognition using deep learning: A survey
In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
Charging demand of plug-in electric vehicles: Forecasting travel behavior based on a novel rough artificial neural network approach
The market penetration of Plug-in Electric Vehicles (PEVs) is escalating due to their energy
saving and environmental benefits. In order to address PEVs impact on the electric …
saving and environmental benefits. In order to address PEVs impact on the electric …
Secure data transmission in WSN: An overview
Building a secure routing protocol in WSN is not trivial process. Thee are two main types of
security attacks against WSNs: active and passive. WSN as a new category of computer …
security attacks against WSNs: active and passive. WSN as a new category of computer …
Efficient palmprint biometric identification systems using deep learning and feature selection methods
Over the past two decades, several studies have paid great attention to biometric palmprint
recognition. Recently, most methods in literature adopted deep learning due to their high …
recognition. Recently, most methods in literature adopted deep learning due to their high …
Advances in offline handwritten signature recognition research: a review
Z Wang, M Muhammat, N Yadikar, A Aysa… - IEEE Access, 2023 - ieeexplore.ieee.org
A person's handwritten signature, one of the methods frequently used to confirm their
identity, is used exclusively to confirm the biometric identification of different financial, legal …
identity, is used exclusively to confirm the biometric identification of different financial, legal …
A machine learning model for predicting of chronic kidney disease based internet of things and cloud computing in smart cities
Cloud computing and internet of things (IOT) plays an important role in health care services
especially in the prediction of diseases in smart cities. IOT devices (digital sensors and etc.) …
especially in the prediction of diseases in smart cities. IOT devices (digital sensors and etc.) …
Federated learning for biometric recognition: a survey
Recently, deep learning (DL) has achieved great success in biometric recognition. The
application of DL has also led to a high demand for biometric data. However, as people …
application of DL has also led to a high demand for biometric data. However, as people …
Healthcare analysis in smart big data analytics: reviews, challenges and recommendations
Increasing demand and costs for healthcare is a challenge because of the high populations
and the difficulty to cover all patients by the available doctors. The healthcare data …
and the difficulty to cover all patients by the available doctors. The healthcare data …
Machine learning based support system for students to select stream (subject)
Background: In most of the countries, students have to select a subject/stream in the
secondary education phase. Selection of subject/stream is crucial for students because …
secondary education phase. Selection of subject/stream is crucial for students because …
Dynamic wireless sensor networks
Recently, Wireless Sensor Networks (WSNs) have gained great attention due to their ability
to work effectively in different working fields. It has been widely used in health care …
to work effectively in different working fields. It has been widely used in health care …