Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Syed Aziz SH"'
Autor:
Shahnawaz Qureshi, Syed Muhammad Zeeshan Iqbal, Asif Ameer, Seppo Karrila, Yazeed Yasin Ghadi, Syed Aziz Shah
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e39279- (2024)
Background and Objective: Emerging diseases like Parkinson or Alzheimer's, which are not curable, endanger human mental health and are challenging to research. Drug target interactions (DTI) are pivotal in the screening of candidate drugs and focus o
Externí odkaz:
https://doaj.org/article/3f450007630d4fee8236f13055d4c355
Autor:
Bakhtawar Mudassar, Shahzaib Tahir, Fawad Khan, Syed Aziz Shah, Syed Ikram Shah, Qammer Hussain Abbasi
Publikováno v:
Future Internet, Vol 16, Iss 11, p 407 (2024)
The healthcare sector has changed dramatically in recent years due to depending more and more on big data to improve patient care, enhance or improve operational effectiveness, and forward medical research. Protecting patient privacy in the era of di
Externí odkaz:
https://doaj.org/article/bf45c7f020d94ef8aed2fd42a45da7d6
Autor:
Sandeepkumar Racherla, Prathyusha Sripathi, Nuruzzaman Faruqui, Md Alamgir Kabir, Md Whaiduzzaman, Syed Aziz Shah
Publikováno v:
IEEE Access, Vol 12, Pp 63584-63597 (2024)
The Internet of Things (IoT) represents a swiftly expanding sector that is pivotal in driving the innovation of today’s smart services. However, the inherent resource-constrained nature of IoT nodes poses significant challenges in embedding advance
Externí odkaz:
https://doaj.org/article/1e7ace8b5a034761b81fb80c2ec27889
Publikováno v:
IEEE Access, Vol 12, Pp 59756-59770 (2024)
The rapid surge in internet-driven smart devices and bandwidth-hungry multimedia applications demands high-capacity internet services and low latencies during connectivity. Cloud radio access networks (C-RANs) are considered the prominent solution to
Externí odkaz:
https://doaj.org/article/9b5fbd19d2444d0e8b202e0786f5c24e
Publikováno v:
IEEE Access, Vol 12, Pp 15684-15695 (2024)
The application of machine learning in healthcare, financial, social media, and other sensitive sectors not only involves high accuracy but privacy as well. Due to the emergence of the Cloud as a computation and one-to-many access paradigm; training
Externí odkaz:
https://doaj.org/article/503e72ca482f4492baa13e4ac604e156
Autor:
Umer Saeed, Syed Yaseen Shah, Jawad Ahmad, Muhammad Ali Imran, Qammer H. Abbasi, Syed Aziz Shah
Publikováno v:
Journal of Pharmaceutical Analysis, Vol 12, Iss 2, Pp 193-204 (2022)
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people worldwide. With the recent rise of new Delta and Omicron variants, the efficacy
Externí odkaz:
https://doaj.org/article/1de26269b715429db5b0be113d3a971c
Autor:
Sidrah Liaqat, Kia Dashtipour, Ali Rizwan, Muhammad Usman, Syed Aziz Shah, Kamran Arshad, Khaled Assaleh, Naeem Ramzan
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Personalized hydration level monitoring play vital role in sports, health, wellbeing and safety of a person while performing particular set of activities. Clinical staff must be mindful of numerous physiological symptoms that identify the op
Externí odkaz:
https://doaj.org/article/1d7ee8400b0245d599101f4a1bc7da64
Publikováno v:
Chaos Theory and Applications, Vol 2, Iss 1, Pp 17-22 (2020)
With the advancement in digital technologies and the demand for secure communication, there is an increased interest in the design and implementation of reliable image encryption schemes. This paper presents a thorough review of chaos theory and its
Externí odkaz:
https://doaj.org/article/544cf3efc85a40f694f82297c572c2d1
Autor:
Mubashir Rehman, Raza Ali Shah, Najah Abed Abu Ali, Muhammad Bilal Khan, Syed Aziz Shah, Akram Alomainy, Mohammad Hayajneh, Xiaodong Yang, Muhammad Ali Imran, Qammer H. Abbasi
Publikováno v:
Sensors, Vol 23, Iss 3, p 1251 (2023)
Breathing monitoring is an efficient way of human health sensing and predicting numerous diseases. Various contact and non-contact-based methods are discussed in the literature for breathing monitoring. Radio frequency (RF)-based breathing monitoring
Externí odkaz:
https://doaj.org/article/6a7341c1be1c4e858cfe465ffe4ac57f
Autor:
Shujaat Ali Khan Tanoli, Syed Aziz Shah, Muhammad Bilal Khan, Faiza Nawaz, Amir Hussain, Ahmed Y. Al-Dubai, Imran Khan, Syed Yaseen Shah, Ayoub Alsarhan
Publikováno v:
IEEE Access, Vol 8, Pp 29395-29406 (2020)
Wireless communication using existing coding models poses several challenges for RF signals due to multipath scattering, rapid fluctuations in signal strength and path loss effect. Unlike existing works, this study presents a novel coding technique b
Externí odkaz:
https://doaj.org/article/d045c0c740ef4d4ea5d50629d86d629c