Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Sana Ullah Jan"'
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7717 (2024)
The Internet of Things (IoT) is witnessing a surge in sensor-equipped devices. The data generated by these IoT devices serve as a critical foundation for informed decision-making, real-time insights, and innovative solutions across various applicatio
Externí odkaz:
https://doaj.org/article/466c4d771f64448aa55170e88cb6a9ec
Autor:
Syed Muhammad Ahmed Hassan Shah, Muhammad Qasim Khan, Yazeed Yasin Ghadi, Sana Ullah Jan, Olfa Mzoughi, Monia Hamdi
Publikováno v:
IEEE Access, Vol 11, Pp 83171-83186 (2023)
Vision Transformers (ViT) are commonly utilized in image recognition and related applications. It delivers impressive results when it is pre-trained using massive volumes of data and then employed in mid-sized or small-scale image recognition evaluat
Externí odkaz:
https://doaj.org/article/bd65e7a146c84af5855d8aeb9d9626de
Publikováno v:
Sensors, Vol 23, Iss 23, p 9572 (2023)
Epilepsy is a prevalent neurological disorder with considerable risks, including physical impairment and irreversible brain damage from seizures. Given these challenges, the urgency for prompt and accurate seizure detection cannot be overstated. Trad
Externí odkaz:
https://doaj.org/article/b91346ceba7943279f725c38498f1a0c
Publikováno v:
Sensors, Vol 23, Iss 19, p 8218 (2023)
Smart agricultural systems have received a great deal of interest in recent years because of their potential for improving the efficiency and productivity of farming practices. These systems gather and analyze environmental data such as temperature,
Externí odkaz:
https://doaj.org/article/7911192b2add4365963d7211f64cd1e6
Autor:
Sidrah Liaqat, Kia Dashtipour, Adnan Zahid, Kamran Arshad, Sana Ullah Jan, Khaled Assaleh, Naeem Ramzan
Publikováno v:
Frontiers in Communications and Networks, Vol 2 (2021)
Atrial fibrillation (AF) is one of the most common types of cardiac arrhythmia, with a prevalence of 1–2% in the community, increasing the risk of stroke and myocardial infarction. Early detection of AF, typically causing an irregular and abnormall
Externí odkaz:
https://doaj.org/article/586c8a06611b4d34b5091df5f29be1dc
Publikováno v:
IEEE Access, Vol 7, Pp 42450-42471 (2019)
Integration of the Internet into the entities of the different domains of human society (such as smart homes, health care, smart grids, manufacturing processes, product supply chains, and environmental monitoring) is emerging as a new paradigm called
Externí odkaz:
https://doaj.org/article/ef169029fd4c4471823996b78d226154
Autor:
Saima Gulzar Ahmad, Tassawar Iqbal, Anam Javaid, Ehsan Ullah Munir, Nasira Kirn, Sana Ullah Jan, Naeem Ramzan
Publikováno v:
Sensors, Vol 22, Iss 12, p 4362 (2022)
Currently, information and communication technology (ICT) allows health institutions to reach disadvantaged groups in rural areas using sensing and artificial intelligence (AI) technologies. Applications of these technologies are even more essential
Externí odkaz:
https://doaj.org/article/e441b2e3d2e24a1a9cd11a4b3dea0dc1
Autor:
Umer Saeed, Syed Yaseen Shah, Syed Aziz Shah, Haipeng Liu, Abdullah Alhumaidi Alotaibi, Turke Althobaiti, Naeem Ramzan, Sana Ullah Jan, Jawad Ahmad, Qammer H. Abbasi
Publikováno v:
Sensors, Vol 22, Iss 3, p 809 (2022)
Wireless sensing is the utmost cutting-edge way of monitoring different health-related activities and, concurrently, preserving most of the privacy of individuals. To meet future needs, multi-subject activity monitoring is in demand, whether it is fo
Externí odkaz:
https://doaj.org/article/768b5713792542849be2531277134a2c
Autor:
Muhammad Almas Khan, Muazzam A. Khan, Sana Ullah Jan, Jawad Ahmad, Sajjad Shaukat Jamal, Awais Aziz Shah, Nikolaos Pitropakis, William J. Buchanan
Publikováno v:
Sensors, Vol 21, Iss 21, p 7016 (2021)
A large number of smart devices in Internet of Things (IoT) environments communicate via different messaging protocols. Message Queuing Telemetry Transport (MQTT) is a widely used publish–subscribe-based protocol for the communication of sensor or
Externí odkaz:
https://doaj.org/article/6ffba6c808314d33a4c1320a4aa27ea1
Publikováno v:
IEEE Access, Vol 5, Pp 8682-8690 (2017)
This paper deals with the problem of fault detection and diagnosis in sensors considering erratic, drift, hard-over, spike, and stuck faults. The data set containing samples of the above mentioned fault signals was acquired as follows: normal data si
Externí odkaz:
https://doaj.org/article/09da83c121c545d2917962fdb245a94c