Muhammad Sulaiman
Stipendiat i informasjonsteknologi
Kontakt
E-post: muhammad.sulaiman@uis.no
Organisasjonsenhet
Det teknisk-naturvitenskapelige fakultet
Institutt for data- og elektroteknologi
Stipendiat i informasjonsteknologi
E-post: muhammad.sulaiman@uis.no
Organisasjonsenhet
Det teknisk-naturvitenskapelige fakultet
Institutt for data- og elektroteknologi
Sulaiman, Muhammad; Farmanbar, Mina; Belbachir, Ahmed Nabil; Rong, Chunming
(2024)
Precision in Building Extraction: Comparing Shallow and Deep Models Using LiDAR Data. I: Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications : 1st International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2023.Springer Publishing Company.
ISBN 978-981-99-9836-4.
s.431-444.
Sulaiman, Muhammad; Finnesand, Erik; Farmanbar, Mina; Belbachir, Nabil; Rong, Chunming
(2024)
Building Precision: Efficient Encoder-Decoder Networks for Remote Sensing Based on Aerial RGB and LiDAR Data.IEEE Access.
ISSN 2169-3536.
Volum 12.
s.60329-60346.
Sulaiman, Muhammad; Farmanbar, Mina; Belbachir, Nabil; Chunming, Rong
(2024)
Genetic Algorithm Empowering Unsupervised Learning for Optimizing Building Segmentation from Light Detection and Ranging Point Clouds.Remote Sensing.
ISSN 2072-4292.
Volum 16.
Hefte 19.
DOI: 10.3390/rs16193603
Aydın, Doğan; Özcan, Yunus; Sulaiman, Muhammad; Yavuz, Gürcan; Halim, Zahid
(2023)
Elitist artificial bee colony with dynamic population size for multimodal optimization problems.Swarm Intelligence.
ISSN 1935-3812.
s.305-334.
Mustafa, Ghulam; Rauf, Abid; Al-Shamayleh, Ahmad Sami; Sulaiman, Muhammad; Afzal, Muhammad Tanvir; Akhunzada, Adnan
(2023)
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms.IEEE Access.
ISSN 2169-3536.
Erik, Finnesand; Sulaiman, Muhammad; Farmanbar, Mina
(2023)
An Efficient Machine Learning Approach for Building Segmentation Using Aerial Images and LiDAR Data.
NORA Annual Conference 2023;
2023-06-05 - 2023-06-06.