Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zeeshan Shahi"'
Publikováno v:
Sukkur IBA Journal of Computing and Mathematical Sciences, Vol 3, Iss 2 (2020)
Breast cancer has become a leading cause of women death in this era. Breast cancer is very common in various countries including Pakistan. Early identification of the breast cancer or tumor is the only way for the rapid treatment and cure. An imaging
Externí odkaz:
https://doaj.org/article/f53310e42360473aa1843b2af00dc9ee
Autor:
Nitasha Khan, Zeeshan Shahid, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, Mobeen Nazar, Mohd Suud Mazliham
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 6, Pp 941-958 (2024)
Abstract Electricity theft (ET), which endangers public safety, interferes with the regular operation of grid infrastructure, and increases revenue losses, is a significant issue for power companies. To find ET, numerous machine learning, deep learni
Externí odkaz:
https://doaj.org/article/ac8be067eff1475f8dd04fea4ed77c3f
Autor:
Imran, Megat F. Zuhairi, Syed Mubashir Ali, Zeeshan Shahid, Muhammad Mansoor Alam, Mazliham Mohd Su'ud
Publikováno v:
IEEE Access, Vol 12, Pp 25700-25718 (2024)
The MQTTset dataset has been extensively investigated for enhancing anomaly detection in IoT-based systems, with a focus on identifying Denial of Service (DoS) attacks. The research addresses a critical gap in MQTT traffic anomaly detection by propos
Externí odkaz:
https://doaj.org/article/b206930c1c8d47d397a4c4f6d43c0999
Publikováno v:
Buildings, Vol 13, Iss 6, p 1454 (2023)
Digital construction relies on effective sensing to enhance the safety, productivity, and quality of its activities. However, current sensing devices (e.g., camera, LiDAR, infrared sensors) have significant limitations in different aspects. In light
Externí odkaz:
https://doaj.org/article/5799c566873f43b0b394db3b68af7876
Autor:
Imran, Megat Farez Azril Zuhairi, Syed Mubashir Ali, Zeeshan Shahid, Muhammad Mansoor Alam, Mazliham Mohd Su’ud
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6753 (2023)
Anomaly detection (AD) has captured a significant amount of focus from the research field in recent years, with the rise of the Internet of Things (IoT) application. Anomalies, often known as outliers, are defined as the discovery of anomalous occurr
Externí odkaz:
https://doaj.org/article/a206b2ed3f3a4cc4b7e55dddd74b0476
Publikováno v:
IEEE Access, Vol 8, Pp 19364-19380 (2020)
Ultimate extreme flash floods can be acknowledged as a main reason of high casualties and infrastructure loss in many countries like Pakistan, Malaysia, Philippines, Southern France, India, Bangladesh, China, Nepal, Canada, United States of America a
Externí odkaz:
https://doaj.org/article/5ea0063a19054e5c9e080d3108c4af80
Publikováno v:
IEEE Access, Vol 8, Pp 210006-210022 (2020)
Flash floods can demolish infrastructure and property within seconds as they are very sudden. Flash floods are the main cause of the casualties and loss of properties. Existing natural disaster prediction algorithms contains false alarms. Indefinite
Externí odkaz:
https://doaj.org/article/ceadaeaff6ad4036883b3336677ea021
Autor:
Nitasha Khan, Zeeshan Shahid, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, M. S. Mazliham, Talha Ahmed Khan, Syed Safdar Ali Rizvi
Publikováno v:
International Transactions on Electrical Energy Systems, Vol 2022 (2022)
The integration of widely fluctuating distributed generation (such as photovoltaic panels, wind power, electric vehicles, and energy storage systems) puts the stability of power technologies and distribution structures in jeopardy. However, the funda
Externí odkaz:
https://doaj.org/article/a5ee40c317ed46f4b82d28bc80532e63
Publikováno v:
International Islamic University Malaysia Engineering Journal, Vol 12, Iss 6 (2012)
Based on an inexpensive popular precision timing chip 555 timer, a resistance to time converter is proposed in this paper which is indeed capable of converting resistive and capacitive changes into pulse widths of proportional durations. This convert
Externí odkaz:
https://doaj.org/article/ca961cf9a7814ad6918bc8f437fcd34a