Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Iftikhar Ahmed Saeed"'
Autor:
Muhammad Noman Sohail, Adeel Anjum, Iftikhar Ahmed Saeed, Madiha Haider Syed, Axel Jantsch, Semeen Rehman
Publikováno v:
IEEE Access, Vol 12, Pp 51176-51192 (2024)
Connecting smart industrial components to computer networks revolutionizes business operations. However, in the Industrial Internet of Things (IIoT), the sharing of data has bandwidth, computational, and privacy issues. Researchers presented cloud co
Externí odkaz:
https://doaj.org/article/6aae9e0f72fd402a9f99afe9a55c9bf3
Autor:
Mubashir Ahmad, Saira, Omar Alfandi, Asad Masood Khattak, Syed Furqan Qadri, Iftikhar Ahmed Saeed, Salabat Khan, Bashir Hayat, Arshad Ahmad
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 8208-8225 (2023)
Facial expression is a type of communication and is useful in many areas of computer vision, including intelligent visual surveillance, human-robot interaction and human behavior analysis. A deep learning approach is presented to classify happy, sad,
Externí odkaz:
https://doaj.org/article/d7519910e084472fb79d3d2540b42532
Autor:
Mubashir Ahmad, Saira, Omar Alfandi, Asad Masood Khattak, Syed Furqan Qadri, Iftikhar Ahmed Saeed, Salabat Khan, Arshad Ahmad
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 10675-10677 (2023)
Externí odkaz:
https://doaj.org/article/e01edb114890441f9d8021549fc2b4cf
Autor:
Irum Hirra, Mubashir Ahmad, Ayaz Hussain, M. Usman Ashraf, Iftikhar Ahmed Saeed, Syed Furqan Qadri, Ahmed M. Alghamdi, Ahmed S. Alfakeeh
Publikováno v:
IEEE Access, Vol 9, Pp 24273-24287 (2021)
Accurate detection and classification of breast cancer is a critical task in medical imaging due to the complexity of breast tissues. Due to automatic feature extraction ability, deep learning methods have been successfully applied in different areas
Externí odkaz:
https://doaj.org/article/330b3d48e1154f1b982d5de2a42f0e61
Autor:
Iftikhar Ahmed Saeed, Minjuan Wang, Yanzhao Ren, Qinglan Shi, Muhammad Hammad Malik, Sha Tao, Qiang Cai, Wanlin Gao
Publikováno v:
Soil and Water Research, Vol 14, Iss 4, Pp 195-199 (2019)
Soil moisture (SM) varies greatly in the soil profile. We developed a low-cost sensor for SM monitoring at three vertical depths. The sensor function was based on dielectric theory to monitor SM. Three linear calibration models were established using
Externí odkaz:
https://doaj.org/article/9dc80a43226940fe87471c5a17b6593a
Autor:
Iftikhar Ahmed Saeed, Shi Qinglan, Minjuan Wang, Salman Latif Butt, Lihua Zheng, Vu Ngoc Tuan, Gao Wanlin
Publikováno v:
IEEE Access, Vol 7, Pp 19688-19697 (2019)
Soil moisture (SM) is an integral parameter for scheduling irrigation. The precise and real-time measurement of SM is difficult due to its complex nature. The purpose of this paper was to determine whether the time division multiplexing (TDM) approac
Externí odkaz:
https://doaj.org/article/bfd31ef3e3144416ab849cdb65168acc
Autor:
Trinh Dinh Dinh, Abdul Mateen Khattak, Vu Ngoc Tuan, Wanlin Gao, Iftikhar Ahmed Saeed, Minjuan Wang, Anh Tuan Le, Wenxin Zhang
Publikováno v:
RSC Advances. 11:11177-11191
Calcium, phosphate, and magnesium are essential nutrients for plant growth. The in situ determination of these nutrients is an important task for monitoring them in a closed hydroponic system where the nutrient elements need to be individually quanti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4a122ba46c1313b91608cbe7f60ce8e
https://doi.org/10.1039/d1ra00140j
https://doi.org/10.1039/d1ra00140j
Autor:
Mubashir Ahmad, Syed Furqan Qadri, Salman Qadri, Iftikhar Ahmed Saeed, Syeda Shamaila Zareen, Zafar Iqbal, Amerah Alabrah, Hayat Mansoor Alaghbari, Sk. Md. Mizanur Rahman
Publikováno v:
Computational Intelligence and Neuroscience.
Liver segmentation and recognition from computed tomography (CT) images is a warm topic in image processing which is helpful for doctors and practitioners. Currently, many deep learning methods are used for liver segmentation that takes a long time t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fed527aa0a72b2dcdb4f98c5605107ae
Autor:
Ren Yanzhao, Muhammad Hammad Malik, Qinglan Shi, Tao Sha, Wanlin Gao, Iftikhar Ahmed Saeed, Minjuan Wang, Qiang Cai
Publikováno v:
Soil and Water Research. 14:195-199
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb85f1deed1fe335a2e74f563b45c4c0
https://doi.org/10.17221/74/2018-swr
https://doi.org/10.17221/74/2018-swr
Autor:
Vu Ngoc Tuan, Salman Latif Butt, Minjuan Wang, Shi Qinglan, Lihua Zheng, Iftikhar Ahmed Saeed, Gao Wanlin
Publikováno v:
IEEE Access, Vol 7, Pp 19688-19697 (2019)
Soil moisture (SM) is an integral parameter for scheduling irrigation. The precise and real-time measurement of SM is difficult due to its complex nature. The purpose of this paper was to determine whether the time division multiplexing (TDM) approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4885505f90c1ef27063c42fe9c78c62c
https://doi.org/10.1109/access.2019.2893680
https://doi.org/10.1109/access.2019.2893680