User profiles for Ali Samad
Samad AliNokia, University of Oulu Verified email at oulu.fi Cited by 1365 |
A method for improving prediction of human heart disease using machine learning algorithms
A great diversity comes in the field of medical sciences because of computing capabilities
and improvements in techniques, especially in the identification of human heart diseases. …
and improvements in techniques, especially in the identification of human heart diseases. …
6G white paper on machine learning in wireless communication networks
The focus of this white paper is on machine learning (ML) in wireless communications. 6G
wireless communication networks will be the backbone of the digital transformation of …
wireless communication networks will be the backbone of the digital transformation of …
Voting Classification‐Based Diabetes Mellitus Prediction Using Hypertuned Machine‐Learning Techniques
Diabetes mellitus is a hyperglycemia‐like chronic condition that is a troublesome disease. It
is estimated that, according to the growing morbidity, by 2040, the world will cross 642 …
is estimated that, according to the growing morbidity, by 2040, the world will cross 642 …
Average rate and error probability analysis in short packet communications over RIS-aided URLLC systems
In this paper, the average achievable rate and error probability of a reconfigurable intelligent
surface (RIS) aided systems is investigated for the finite blocklength (FBL) regime. The …
surface (RIS) aided systems is investigated for the finite blocklength (FBL) regime. The …
Fast uplink grant for machine type communications: Challenges and opportunities
The notion of a fast uplink grant is emerging as a promising solution for enabling massive
machine type communication (MTC) in the Internet of Things over cellular networks. By using …
machine type communication (MTC) in the Internet of Things over cellular networks. By using …
Relay selection and power allocation for energy efficiency maximization in hybrid satellite-UAV networks with CoMP-NOMA transmission
Non-orthogonal multiple access (NOMA) and coordinated multi-point (CoMP) are two
fundamental techniques considered for the fifth generation (5 G) of wireless communications. In …
fundamental techniques considered for the fifth generation (5 G) of wireless communications. In …
Comparative analysis of recent architecture of convolutional neural network
Convolutiona neural network (CNN) is one of the best neural networks for classification,
segmentation, natural language processing (NLP), and video processing. The CNN consists of …
segmentation, natural language processing (NLP), and video processing. The CNN consists of …
BHCNet: neural network-based brain hemorrhage classification using head CT scan
Brain Hemorrhage is the eruption of the brain arteries due to high blood pressure or blood
clotting that could be a cause of traumatic injury or death. It is the medical emergency in which …
clotting that could be a cause of traumatic injury or death. It is the medical emergency in which …
An overview of device-to-device communications technology components in METIS
As the standardization of network-assisted device-to-device (D2D) communications by the
Third Generation Partnership Project progresses, the research community has started to …
Third Generation Partnership Project progresses, the research community has started to …
Full duplex device-to-device communication in cellular networks
In this paper we investigate the applicability of inband full-duplex (FD) radios in device-to-device
communication (D2D) in cellular systems. The key challenge in FD radio design is the …
communication (D2D) in cellular systems. The key challenge in FD radio design is the …