Zobrazeno 1 - 10
of 833
pro vyhledávání: '"Abbasi, Qammer H"'
Autor:
Sohaib, Rana M., Shah, Syed Tariq, Onireti, Oluwakayode, Sambo, Yusuf, Abbasi, Qammer H., Imran, M. A.
This work addresses resource allocation challenges in multi-cell wireless systems catering to enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC) users. We present a distributed learning framework tailored to O-RAN
Externí odkaz:
http://arxiv.org/abs/2407.11558
Autor:
Buttar, Hasan Mujtaba, Rahman, Muhammad Mahboob Ur, Nawaz, Muhammad Wasim, Mian, Adnan Noor, Zahid, Adnan, Abbasi, Qammer H.
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 defined radio) to radio-expose the pulmonary patients in order to dif
Externí odkaz:
http://arxiv.org/abs/2405.09458
Autor:
Nawaz, Muhammad Wasim, Tahir, Muhammad Ahmad, Mehmood, Ahsan, Rahman, Muhammad Mahboob Ur, Riaz, Kashif, Abbasi, Qammer H.
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 photoplethysmography (PPG) signal. We train and evaluate our DL models on
Externí odkaz:
http://arxiv.org/abs/2401.05452
Autor:
Khalid, Muhammad Saran, Quraishi, Ikramah Shahid, Sajjad, Hadia, Yaseen, Hira, Mehmood, Ahsan, Rahman, Muhammad Mahboob Ur, Abbasi, Qammer H.
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, we estimate the biological age of a person as well as the age group he/
Externí odkaz:
http://arxiv.org/abs/2312.13404
Autor:
Nawaz, Muhammad Wasim, Munawar, Rashid, Mehmood, Ahsan, Rahman, Muhammad Mahboob Ur, Abbasi, Qammer H.
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, recurrent neural networks (RNNs) such as long short-term memory (LST
Externí odkaz:
http://arxiv.org/abs/2310.01850
Autor:
Ali, S. Anas, Niaz, M. Saqib, Rehman, Mubashir, Mehmood, Ahsan, Rahman, M. Mahboob Ur, Riaz, Kashif, Abbasi, Qammer H.
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 the vascular age of an apparently healthy young person. In addition, w
Externí odkaz:
http://arxiv.org/abs/2308.04355
Autor:
Asim, Muhammad, Iqbal, Muhammad Ozair, Aman, Waqas, Rahman, Muhammad Mahboob Ur, Abbasi, Qammer H.
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 deploy a pair of NI 2901 USRP software-defined radios (SDR) in a large h
Externí odkaz:
http://arxiv.org/abs/2307.15995
Autor:
Kaur, Jaspreet, Bhatti, Satyam, Popoola, Olaoluwa R, Imran, Muhammad Ali, Ghannam, Rami, Abbasi, Qammer H, Abbas, Hasan T
The pervasive nature of wireless telecommunication has made it the foundation for mainstream technologies like automation, smart vehicles, virtual reality, and unmanned aerial vehicles. As these technologies experience widespread adoption in our dail
Externí odkaz:
http://arxiv.org/abs/2307.10183