activity
20162026
most citedDirectly wireless communication of human minds via non-invasive brain-computer-metasurface platform

151 citations · 706 across the 46 of their papers we have counts for

collaborators
Showing 2023Show all

12 papers · 1 filter

eess.SP2023★ 1 cited

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…

eess.SP2023

RIS-Enhanced MIMO Channels in Urban Environments: Experimental Insights

James Rains, Anvar Tukmanov, Qammer Abbasi +1

Can the smart radio environment paradigm measurably enhance the performance of contemporary urban macrocells? In this study, we explore the impact of reconfigurable intelligent sur…

cs.CR2023★ 2 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…

eess.SP2023

Evaluation of a Low-Cost Single-Lead ECG Module for Vascular Ageing Prediction and Studying Smoking-induced Changes in ECG

S. Anas Ali, M. Saqib Niaz, Mubashir Rehman +4

Vascular age is traditionally measured using invasive methods or through 12-lead electrocardiogram (ECG). This paper utilizes a low-cost single-lead (lead-I) ECG module to predict…

eess.SP2023

Pathloss-based non-Line-of-Sight Identification in an Indoor Environment: An Experimental Study

Muhammad Asim, Muhammad Ozair Iqbal, Waqas Aman +2

This paper reports the findings of an experimental study on the problem of line-of-sight (LOS)/non-line-of-sight (NLOS) classification in an indoor environment. Specifically, we de…

cs.IT2023★ 1 cited

Contextual Beamforming: Exploiting Location and AI for Enhanced Wireless Telecommunication Performance

Jaspreet Kaur, Satyam Bhatti, Olaoluwa R Popoola +4

The pervasive nature of wireless telecommunication has made it the foundation for mainstream technologies like automation, smart vehicles, virtual reality, and unmanned aerial vehi…

eess.SP2023

Non-Contact Monitoring of Dehydration using RF Data Collected off the Chest and the Hand

Hasan Mujtaba Buttar, Kawish Pervez, M. Mahboob Ur Rahman +2

We report a novel non-contact method for dehydration monitoring. We utilize a transmit software defined radio (SDR) that impinges a wideband radio frequency (RF) signal (of frequen…

cs.LG2023★ 1 cited

Contactless Human Activity Recognition using Deep Learning with Flexible and Scalable Software Define Radio

Muhammad Zakir Khan, Jawad Ahmad, Wadii Boulila +4

Ambient computing is gaining popularity as a major technological advancement for the future. The modern era has witnessed a surge in the advancement in healthcare systems, with via…

eess.SP2023★ 2 cited

A large-scale multimodal dataset of human speech recognition

Yao Ge, Chong Tang, Haobo Li +6

Nowadays, non-privacy small-scale motion detection has attracted an increasing amount of research in remote sensing in speech recognition. These new modalities are employed to enha…

eess.SP2023★ 2 cited

Reconfigurable Intelligent Surface-Assisted Cross-Layer Authentication for Secure and Efficient Vehicular Communications

Mahmoud A. Shawky, Syed Tariq Shah, Ahmed G. Abdellatif +4

Intelligent transportation systems increasingly depend on wireless communication for broadcasting traffic messages and facilitating real-time vehicular communication. In this conte…

eess.SP2023★ 3 cited

Towards a Sustainable Internet-of-Underwater-Things based on AUVs, SWIPT, and Reinforcement Learning

Kenechi G. Omeke, Michael Mollel, Syed T. Shah +3

Life on earth depends on healthy oceans, which supply a large percentage of the planet's oxygen, food, and energy. However, the oceans are under threat from climate change, which i…

eess.SP2023

Deep Reinforcement Learning for Energy-Efficient on the Heterogeneous Computing Architecture

Zheqi Yu, Chao Zhang, Pedro Machado +4

The growing demand for optimal and low-power energy consumption paradigms for IOT devices has garnered significant attention due to their cost-effectiveness, simplicity, and intell…