Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Umar Farooq Khattak"'
Autor:
Muhammad Amir Khan, Tehseen Mazhar, Muhammad Mateen Yaqoob, Muhammad Badruddin Khan, Abdul Khader Jilani Saudagar, Yazeed Yasin Ghadi, Umar Farooq Khattak, Mohammad Shahid
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Heart disease is a complex and widespread illness that affects a significant number of people worldwide. Machine learning provides a way forward for early heart disease diagnosis. A classification model has been developed for the present stu
Externí odkaz:
https://doaj.org/article/71a33efa6ced44dbb9f75436322a5b91
Autor:
Mujeeb Abdullah, Saad Hassan Kiani, Nosherwan Shoaib, Tanweer Ali, Hela Elmannai, Abeer D. Algarni, Umar Farooq Khattak
Publikováno v:
IEEE Access, Vol 12, Pp 141476-141488 (2024)
In this article, a slotted wideband eight-element multiple-input multiple-output (MIMO) antenna system is designed for the N77 (3.3-4.2 GHz) spectrum. The MIMO system is fabricated FR-4 substrate with standard smartphone dimensions, The orthogonal pl
Externí odkaz:
https://doaj.org/article/613e7d0db4cb4b018a5bdcb5dbcf1ed3
Autor:
Muhammad Mateen Yaqoob, Musleh Alsulami, Muhammad Amir Khan, Deafallah Alsadie, Abdul Khader Jilani Saudagar, Mohammed AlKhathami, Umar Farooq Khattak
Publikováno v:
Symmetry, Vol 15, Iss 7, p 1369 (2023)
Skin cancer represents one of the most lethal and prevalent types of cancer observed in the human population. When diagnosed in its early stages, melanoma, a form of skin cancer, can be effectively treated and cured. Machine learning algorithms play
Externí odkaz:
https://doaj.org/article/4d63b415deb943a2a1b9e10ed2f3b011
Autor:
Muhammad Amir Khan, Musleh Alsulami, Muhammad Mateen Yaqoob, Deafallah Alsadie, Abdul Khader Jilani Saudagar, Mohammed AlKhathami, Umar Farooq Khattak
Publikováno v:
Diagnostics, Vol 13, Iss 14, p 2340 (2023)
Healthcare professionals consider predicting heart disease an essential task and deep learning has proven to be a promising approach for achieving this goal. This research paper introduces a novel method called the asynchronous federated deep learnin
Externí odkaz:
https://doaj.org/article/d4651e96c25145ce8c5a5d66b3a72398
Autor:
Qurat ul Ain, Muhammad Amir Khan, Muhammad Mateen Yaqoob, Umar Farooq Khattak, Zohaib Sajid, Muhammad Ijaz Khan, Amal Al-Rasheed
Publikováno v:
Diagnostics, Vol 13, Iss 13, p 2264 (2023)
Cancer, including the highly dangerous melanoma, is marked by uncontrolled cell growth and the possibility of spreading to other parts of the body. However, the conventional approach to machine learning relies on centralized training data, posing cha
Externí odkaz:
https://doaj.org/article/348cbf1194b4403299f61d2182a0ee24
Autor:
Muhammad Danish Ali, Adnan Saleem, Hubaib Elahi, Muhammad Amir Khan, Muhammad Ijaz Khan, Muhammad Mateen Yaqoob, Umar Farooq Khattak, Amal Al-Rasheed
Publikováno v:
Diagnostics, Vol 13, Iss 13, p 2242 (2023)
This study aims to develop an efficient and accurate breast cancer classification model using meta-learning approaches and multiple convolutional neural networks. This Breast Ultrasound Images (BUSI) dataset contains various types of breast lesions.
Externí odkaz:
https://doaj.org/article/3e524d6f6a1841af9f7b81b0efbb2b71
Autor:
Al-Rasheed, Qurat ul Ain, Muhammad Amir Khan, Muhammad Mateen Yaqoob, Umar Farooq Khattak, Zohaib Sajid, Muhammad Ijaz Khan, Amal
Publikováno v:
Diagnostics; Volume 13; Issue 13; Pages: 2264
Cancer, including the highly dangerous melanoma, is marked by uncontrolled cell growth and the possibility of spreading to other parts of the body. However, the conventional approach to machine learning relies on centralized training data, posing cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::f005aa7ec5279a73bc6b487bae4bf152
Autor:
Al-Rasheed, Muhammad Danish Ali, Adnan Saleem, Hubaib Elahi, Muhammad Amir Khan, Muhammad Ijaz Khan, Muhammad Mateen Yaqoob, Umar Farooq Khattak, Amal
Publikováno v:
Diagnostics; Volume 13; Issue 13; Pages: 2242
This study aims to develop an efficient and accurate breast cancer classification model using meta-learning approaches and multiple convolutional neural networks. This Breast Ultrasound Images (BUSI) dataset contains various types of breast lesions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::96b0b8389eb64eaba40d3f2a9a5a598d
Publikováno v:
Recent Trends and Advances in Wireless and IoT-enabled Networks ISBN: 9783319999654
Recent Trends and Advances in Wireless and IoT-enabled Networks
Recent Trends and Advances in Wireless and IoT-enabled Networks
Database growth and storage problems are basically the main high concerns of globally large and small enterprises, which directly have negative impact on database application performance. But something more important is that majority of it is unused
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f66ef58323fc32aa996f0e2a9edca6bd
https://doi.org/10.1007/978-3-319-99966-1_13
https://doi.org/10.1007/978-3-319-99966-1_13
Publikováno v:
International Journal of Advanced Computer Science and Applications. 7
Due to their smaller size and light weighted structures patch antennas are frequently now used in GPS transmitters and receivers and throughout modern communication technology. In this paper a miniaturaized patch antenna is presented using stack conf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::797fded1156468b5c7b84dae2eb34208
https://doi.org/10.14569/ijacsa.2016.071237
https://doi.org/10.14569/ijacsa.2016.071237