241 citations
- University of Central FloridaUS2 papers
- Hankuk University of Foreign StudiesKR1 paper
- Kyungpook National UniversityKR1 paper
- New York UniversityUS1 paper
- New York University Abu DhabiAE1 paper
- Université Mohammed VI PolytechniqueMA1 paper
- University of West LondonGB1 paper
- Xiamen University MalaysiaMY1 paper
7 papers
Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images
Muniba Noreen, Furqan Shaukat
Lung cancer remains among the deadliest types of cancer in recent decades, and early lung nodule detection is crucial for improving patient outcomes. The limited availability of an…
Layered Chirp Spread Spectrum Modulations for LPWANs
Ali Waqar Azim, Ahmad Bazzi, Roberto Bomfin +2
This article examines two chirp spread spectrum techniques specifically devised for low-power wide-area networks (LPWANs) to optimize energy and spectral efficiency (SE). These met…
A Unified Deep Transfer Learning Model for Accurate IoT Localization in Diverse Environments
Abdullahi Isa Ahmed, Yaya Etiabi, Ali Waqar Azim +1
Internet of Things (IoT) is an ever-evolving technological paradigm that is reshaping industries and societies globally. Real-time data collection, analysis, and decision-making fa…
Dual-Mode Chirp Spread Spectrum Modulation
Ali Waqar Azim, Ahmad Bazzi, Raed Shubair +1
In this letter, we propose dual-mode chirp spread spectrum (DM-CSS) modulation for low-power wide-area networks. DM-CSS is capable of achieving a higher spectral efficiency (SE) re…
Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data
Ali Nawaz, Syed Muhammad Anwar, Rehan Liaqat +3
Alzheimer's disease (AD) is a progressive and incurable neurodegenerative disease which destroys brain cells and causes loss to patient's memory. An early detection can prevent the…
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
Amin Ullah, Syed M. Anwar, Muhammad Bilal +1
The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture the…