most citedMulti-class Network Intrusion Detection with Class Imbalance via LSTM & SMOTE

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SP2024

Non-contact Lung Disease Classification via OFDM-based Passive 6G ISAC Sensing

Hasan Mujtaba Buttar, Muhammad Mahboob Ur Rahman, Muhammad Wasim Nawaz +3

This paper is the first to present a novel, non-contact method that utilizes orthogonal frequency division multiplexing (OFDM) signals (of frequency 5.23 GHz, emitted by a software…

eess.SP2024

Dense Optical Flow Estimation Using Sparse Regularizers from Reduced Measurements

Muhammad Wasim Nawaz, Abdesselam Bouzerdoum, Muhammad Mahboob Ur Rahman +2

Optical flow is the pattern of apparent motion of objects in a scene. The computation of optical flow is a critical component in numerous computer vision tasks such as object detec…

eess.SP2024

Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning

Muhammad Wasim Nawaz, Muhammad Ahmad Tahir, Ahsan Mehmood +3

We develop and evaluate two novel purpose-built deep learning (DL) models for synthesis of the arterial blood pressure (ABP) waveform in a cuff-less manner, using a single-site pho…

eess.SP2023

A low-cost PPG sensor-based empirical study on healthy aging based on changes in PPG morphology

Muhammad Saran Khalid, Ikramah Shahid Quraishi, Hadia Sajjad +4

We present the findings of an experimental study whereby we correlate the changes in the morphology of the photoplethysmography (PPG) signal to healthy aging. Under this pretext, w…

cs.CR20232 cited

Multi-class Network Intrusion Detection with Class Imbalance via LSTM & SMOTE

Muhammad Wasim Nawaz, Rashid Munawar, Ahsan Mehmood +2

Monitoring network traffic to maintain the quality of service (QoS) and to detect network intrusions in a timely and efficient manner is essential. As network traffic is sequential…