User profiles for Ali Samad

Samad Ali

Nokia, 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 Saboor, M Usman, S Ali, A Samad… - Mobile Information …, 2022 - Wiley Online Library
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. …

6G white paper on machine learning in wireless communication networks

S Ali, W Saad, N Rajatheva, K Chang… - arXiv preprint arXiv …, 2020 - arxiv.org
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 …

Voting Classification‐Based Diabetes Mellitus Prediction Using Hypertuned Machine‐Learning Techniques

…, MF Ramzan, S Ali, S Baseer, A Samad… - Mobile Information …, 2022 - Wiley Online Library
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 …

Average rate and error probability analysis in short packet communications over RIS-aided URLLC systems

R Hashemi, S Ali, NH Mahmood… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Fast uplink grant for machine type communications: Challenges and opportunities

S Ali, N Rajatheva, W Saad - IEEE Communications Magazine, 2019 - ieeexplore.ieee.org
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 …

Relay selection and power allocation for energy efficiency maximization in hybrid satellite-UAV networks with CoMP-NOMA transmission

…, M Valizadeh, MC Amirani, S Ali - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Comparative analysis of recent architecture of convolutional neural network

…, N Senan, F Wahid, M Aamir, A Samad… - Mathematical …, 2022 - Wiley Online Library
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 …

BHCNet: neural network-based brain hemorrhage classification using head CT scan

…, H Shah, R Majeed, D Shehzad, A Samad - Ieee …, 2021 - ieeexplore.ieee.org
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 …

An overview of device-to-device communications technology components in METIS

…, T Svensson, P Popovski, JMB Da Silva, S Ali - Ieee …, 2016 - ieeexplore.ieee.org
As the standardization of network-assisted device-to-device (D2D) communications by the
Third Generation Partnership Project progresses, the research community has started to …

Full duplex device-to-device communication in cellular networks

S Ali, N Rajatheva, M Latva-aho - 2014 European Conference …, 2014 - ieeexplore.ieee.org
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 …