Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Ali Hassan Sodhro"'
Autor:
Munwar Ali, Low Tang Jung, Ali Hassan Sodhro, Asif Ali Laghari, Samir Birahim Belhaouari, Zeeshan Gillani
Publikováno v:
Alexandria Engineering Journal, Vol 64, Iss , Pp 749-760 (2023)
Rapid development and massive use of Information Technology (IT) have since produced a massive amount of electronic data. In tandem, the demand for data outsourcing and the associated data security is increasing exponentially. Small organizations are
Externí odkaz:
https://doaj.org/article/baf4d1e70ae34ffe85b0cdd417010aa0
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 7, Pp 7156-7177 (2022)
Healthcare vehicles such as ambulances are the key drivers for digital and pervasive remote care for elderly patients. Thus, Healthcare Vehicular Ad Hoc Network (H-VANET) plays a vital role to empower the digital and Intelligent Transportation System
Externí odkaz:
https://doaj.org/article/89b46e7ebb8740d3b65f7a413cab0b1c
Publikováno v:
Sensors, Vol 23, Iss 21, p 8885 (2023)
Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT, mobile, and cloud computing. Cloud computing has tremendously helped the health industry connect healthcare facilities, caregivers, and patients for information
Externí odkaz:
https://doaj.org/article/75b7de510589405fa127931c14780623
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 4, Pp 3953-3971 (2022)
Artificial Intelligence (AI) driven adaptive techniques are viable to optimize the resources in the Internet of Things (IoT) enabled wearable healthcare devices. Due to the miniature size and ability of wireless data transfer, Body Sensor Networks (B
Externí odkaz:
https://doaj.org/article/2473a379f9d24188b45dcb5836331ab3
Autor:
Mazhar Ali Dootio, Abdullah Lakhan, Ali Hassan Sodhro, Tor Morten Groenli, Narmeen Zakaria Bawany, Samrat Kumar
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 1, Pp 513-536 (2022)
These days, the Industrial Internet of Healthcare Things (IIT) enabled applications have been growing progressively in practice. These applications are ubiquitous and run onto the different computing nodes for healthcare goals. The applications have
Externí odkaz:
https://doaj.org/article/fa9e762368ab453f899ccb085f76c5be
Autor:
Md. Milon Islam, Md. Zabirul Islam, Amanullah Asraf, Mabrook S. Al-Rakhami, Weiping Ding, Ali Hassan Sodhro
Publikováno v:
BenchCouncil Transactions on Benchmarks, Standards and Evaluations, Vol 2, Iss 4, Pp 100088- (2022)
Combating the COVID-19 pandemic has emerged as one of the most promising issues in global healthcare. Accurate and fast diagnosis of COVID-19 cases is required for the right medical treatment to control this pandemic. Chest radiography imaging techni
Externí odkaz:
https://doaj.org/article/7ce44f6bae1c46e79c6bea334d6311ac
Publikováno v:
Sensors, Vol 23, Iss 17, p 7456 (2023)
The rapid technological advancements in the current modern world bring the attention of researchers to fast and real-time healthcare and monitoring systems. Smart healthcare is one of the best choices for this purpose, in which different on-body and
Externí odkaz:
https://doaj.org/article/8df07f6f9cfd4bc3974a9c16cdbcffea
Autor:
Abdullah Lakhan, Mazhar Ali Dootio, Ali Hassan Sodhro, Sandeep Pirbhulal, Tor Morten Groenli, Muhammad Saddam Khokhar, Lei Wang
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 7344-7362 (2021)
These days, healthcare applications on the Internet of Medical Things (IoMT) network have been growing to deal with different diseases via different sensors. These healthcare sensors are connecting to the various healthcare fog servers. The hospitals
Externí odkaz:
https://doaj.org/article/d37bb982caf8427095b9678c5ba2e851
Autor:
Samuel Mcmurray, Ali Hassan Sodhro
Publikováno v:
Sensors, Vol 23, Iss 7, p 3470 (2023)
Software Defect Prediction (SDP) is an integral aspect of the Software Development Life-Cycle (SDLC). As the prevalence of software systems increases and becomes more integrated into our daily lives, so the complexity of these systems increases the r
Externí odkaz:
https://doaj.org/article/218c35994f204a818a84926e05a7681d
Autor:
Tianle Zhang, Ali Hassan Sodhro, Zongwei Luo, Noman Zahid, Muhammad Wasim Nawaz, Sandeep Pirbhulal, Muhammad Muzammal
Publikováno v:
IEEE Access, Vol 8, Pp 75822-75832 (2020)
Deep learning (DL) driven cardiac image processing methods manage and monitor the massive medical data collected by the internet of things (IoT) based on wearable devices. A Joint DL and IoT platform are known as Deep-IoMT that extracts the accurate
Externí odkaz:
https://doaj.org/article/fd9352d1555243638ee76945cbac8e20