1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Hankuk University of Foreign StudiesKR2 papers
- University of Central FloridaUS2 papers
- University of SurreyGB2 papers
- University of West LondonGB2 papers
- Xiamen University MalaysiaMY2 papers
- Abasyn UniversityPK1 paper
- Institut Supérieur d'Électronique de ParisFR1 paper
- Karabük UniversityTR1 paper
- King Abdulaziz UniversitySA1 paper
- King Saud UniversitySA1 paper
- Kyungpook National UniversityKR1 paper
- New York UniversityUS1 paper
17 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…
An Efficient Internet Traffic Classification System Using Deep Learning for IoT
Muhammad Basit Umair, Zeshan Iqbal, Muhammad Bilal +3
Internet of Things (IoT) defines a network of devices connected to the internet and sharing a massive amount of data between each other and a central location. These IoT devices ar…
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…
Reliability Aware Multiple Path Installation in Software Defined Networking
Syed Mohsan Raza
Being a state-of-the-art network, Software Defined Networking (SDN) decouples control and management planes from data plane of the forwarding devices by implementing both the contr…
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…
Towards Information-Centric Networking (ICN) Naming for Internet of Things (IoT):The Case of Smart Campus
Sobia Arshad, Muhammad Awais Azam, Syed Hassan Ahmed +1
Information-Centric Networking (ICN) specifically Name Data Networking (NDN) is the name-base (content-base) networking and takes named-contents as "first class citizen", being con…
Recent Advances in Information-Centric Networking based Internet of Things (ICN-IoT)
Sobia Arshad, Muhammad Awais Azam, Mubashir Husain Rehmani +1
Information-Centric Networking (ICN) is being realized as a promising approach to accomplish the shortcomings of current IP-address based networking. ICN models are based on naming…
Medical Image Analysis using Convolutional Neural Networks: A Review
Syed Muhammad Anwar, Muhammad Majid, Adnan Qayyum +3
The science of solving clinical problems by analyzing images generated in clinical practice is known as medical image analysis. The aim is to extract information in an effective an…
Segmentation of Glioma Tumors in Brain Using Deep Convolutional Neural Network
Saddam Hussain, Syed Muhammad Anwar, Muhammad Majid
Detection of brain tumor using a segmentation based approach is critical in cases, where survival of a subject depends on an accurate and timely clinical diagnosis. Gliomas are the…
Medical Image Retrieval using Deep Convolutional Neural Network
Adnan Qayyum, Syed Muhammad Anwar, Muhammad Awais +1
With a widespread use of digital imaging data in hospitals, the size of medical image repositories is increasing rapidly. This causes difficulty in managing and querying these larg…
Mechanism of Laser/light beam interaction at cellular and tissue level and study of the influential factors for the application of low level laser therapy
Muhammad Zeeshan Khalid
After the discovery of laser therapy it was realized it has useful application of wound healing and reduce pain, but due to the poor understanding of the mechanism and dose respons…
On Hermite-Hadamard Type Inequalities Via h-Convexity with Applications in Special Means
Muhammad Iqbal, Muhammad Muddassar, Muhammad Iqbal Bhatti
Some new Hermite-Hadamard's inequalities for h-convex functions are proved, generalizing and unifying a number of known results. Some new applications for special Means of real num…
Convective flow of sisko fluid over a bidirectional stretching sheet
Asif Munir, Azeem Shahzad, Masood Khan
The present investigation discusses the flow and heat transfer characteristics of a steady three dimensional Sisko fluid. The flow is induced due to bidirectional stretching sheet.…
New Integral Inequalities through generalized convex functions
Muhammad Muddassar, Ahsan Ali
In this paper, we establish various inequalities for some mappings that are linked with the illustrious Hermite-Hadamard integral inequality for mappings whose absolute values belo…