Sensors for internet of medical things: State-of-the-art, security and privacy issues, challenges and future directions
Health is wealth. Thus, it is very important to keep it healthy all the time for sustenance of
human livelihood. Last decade has witnessed a number of digital developments, including …
human livelihood. Last decade has witnessed a number of digital developments, including …
Convolutional neural networks for 5G-enabled intelligent transportation system: A systematic review
Abstract Modern 5G-enabled Intelligent Transportation System (ITS) provides comfort and
safety to the end users by using various models and techniques most of which are based on …
safety to the end users by using various models and techniques most of which are based on …
A deep learning-based cryptocurrency price prediction scheme for financial institutions
A cryptocurrency is a network-based digital exchange medium, where the records are
secured using strong cryptographic algorithms such as Secure Hash Algorithm 2 (SHA-2) …
secured using strong cryptographic algorithms such as Secure Hash Algorithm 2 (SHA-2) …
An optimized dense convolutional neural network model for disease recognition and classification in corn leaf
An optimized dense convolutional neural network (CNN) architecture (DenseNet) for corn
leaf disease recognition and classification is proposed in this paper. Corn is one of the most …
leaf disease recognition and classification is proposed in this paper. Corn is one of the most …
Deep learning based autonomous vehicle super resolution DOA estimation for safety driving
In this paper, a novel system architecture including a massive multi-input multi-output
(MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is …
(MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is …
[HTML][HTML] A public domain dataset for real-life human activity recognition using smartphone sensors
In recent years, human activity recognition has become a hot topic inside the scientific
community. The reason to be under the spotlight is its direct application in multiple domains …
community. The reason to be under the spotlight is its direct application in multiple domains …
[HTML][HTML] Analyzing the effectiveness and contribution of each axis of tri-axial accelerometer sensor for accurate activity recognition
Recognizing human physical activities from streaming smartphone sensor readings is
essential for the successful realization of a smart environment. Physical activity recognition …
essential for the successful realization of a smart environment. Physical activity recognition …
DCNN-GA: A deep neural net architecture for navigation of UAV in indoor environment
The applications of unmanned aerial vehicles (UAVs) in military, intelligent transportation,
agriculture, rescue operations, natural environment mapping, and many other allied …
agriculture, rescue operations, natural environment mapping, and many other allied …
AI-powered blockchain-a decentralized secure multiparty computation protocol for IoV
G Raja, Y Manaswini, GD Vivekanandan… - … -IEEE Conference on …, 2020 - ieeexplore.ieee.org
The rapid advancements in autonomous technologies have paved way for vehicular
networks. In particular, Vehicular Ad-hoc Network (VANET) forms the basis of the future of …
networks. In particular, Vehicular Ad-hoc Network (VANET) forms the basis of the future of …
An efficient deep learning-based scheme for web spam detection in IoT environment
From the last few years, Internet of Things has revolutionized the entire world. In this, various
smart objects perform the tasks of sensing and computing to provide uninterrupted services …
smart objects perform the tasks of sensing and computing to provide uninterrupted services …