Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Jaber S. Alzahrani"'
Autor:
Manar Ahmed Hamza, Jaber S. Alzahrani, Amal Al-Rasheed, Reem Alshahrani, Mohammad Alamgeer, Abdelwahed Motwakel, Ishfaq Yaseen, Mohamed I. Eldesouki
Publikováno v:
Canadian Journal of Remote Sensing, Vol 48, Iss 5, Pp 681-693 (2022)
Unmanned Aerial Vehicle (UAV) is treated as an effective technique for gathering high resolution aerial images. The UAV based aerial image collection is highly preferred due to its inexpensive and effective nature. However, automatic classification o
Externí odkaz:
https://doaj.org/article/c8e82bda65764685aafd7427db7749f8
Autor:
Lal Hussain, Areej A. Malibari, Jaber S. Alzahrani, Mohamed Alamgeer, Marwa Obayya, Fahd N. Al-Wesabi, Heba Mohsen, Manar Ahmed Hamza
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract Accurate classification of brain tumor subtypes is important for prognosis and treatment. Researchers are developing tools based on static and dynamic feature extraction and applying machine learning and deep learning. However, static featur
Externí odkaz:
https://doaj.org/article/7971eecb3bde4a54b1349b904f44a929
Autor:
Adil Aslam Mir, Fatih Vehbi Celebi, Hadeel Alsolai, Shahzad Ahmad Qureshi, Muhammad Rafique, Jaber S. Alzahrani, Hany Mahgoub, Manar Ahmed Hamza
Publikováno v:
IEEE Access, Vol 10, Pp 37984-37999 (2022)
The ability to predict the radioactive soil radon gas concentration is important for human beings because it serves as a precursor to earthquakes. Several studies have been conducted across the globe to confirm the correlation of radon emission dynam
Externí odkaz:
https://doaj.org/article/ef8b2d12cff0409e83f3b399f6036634
Autor:
Amani Abdulrahman Albraikan, Jaber S. Alzahrani, Noha Negm, Lal Hussain, Mesfer Al Duhayyim, Manar Ahmed Hamza, Abdelwahed Motwakel, Ishfaq Yaseen
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
The particulate matter (PM) is emitted from diverse sources and affects the human health very badly. In the past, researchers applied different automated computational tools in the predication of PM. Accurate prediction of PM requires more relevant f
Externí odkaz:
https://doaj.org/article/c1e608e895374f119b91e9eacd053c72
Autor:
Amani Abdulrahman Albraikan, Mohammed Aljebreen, Jaber S. Alzahrani, Mahmoud Othman, Gouse Pasha Mohammed, Mohamed Ibrahim Alsaid
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12828 (2022)
Weed control is a significant means to enhance crop production. Weeds are accountable for 45% of the agriculture sector’s crop losses, which primarily occur because of competition with crops. Accurate and rapid weed detection in agricultural fields
Externí odkaz:
https://doaj.org/article/0670b1df6abe40d3b94e3e978f7bd358
Autor:
Hadeel Alsolai, Jaber S. Alzahrani, Mohammed Maray, Mohammed Alghamdi, Ayman Qahmash, Mrim M. Alnfiai, Amira Sayed A. Aziz, Anwer Mustafa Hilal
Publikováno v:
Drones, Vol 6, Iss 11, p 358 (2022)
The increasing demands of several emergent services brought new communication problems to vehicular networks (VNs). It is predicted that the transmission system assimilated with unmanned aerial vehicles (UAVs) fulfills the requirement of next-generat
Externí odkaz:
https://doaj.org/article/8ee4d0bf2fb54915bdcf81e5dc0ae7da
Autor:
Marwa Obayya, Mohammad Alamgeer, Jaber S. Alzahrani, Rana Alabdan, Fahd N. Al-Wesabi, Abdullah Mohamed, Mohamed Ibrahim Alsaid Hassan
Publikováno v:
Biomedicines, Vol 10, Iss 11, p 2714 (2022)
Recently, artificial intelligence (AI) including machine learning (ML) and deep learning (DL) models has been commonly employed for the automated disease diagnosis process. AI in biological and biomedical imaging is an emerging area and will be a fut
Externí odkaz:
https://doaj.org/article/1d8eb09588524e1b84f03aab2f517e52
Autor:
Manar Ahmed Hamza, Hamed Alqahtani, Dalia H. Elkamchouchi, Hussain Alshahrani, Jaber S. Alzahrani, Mohammed Maray, Mohamed Ahmed Elfaki, Amira Sayed A. Aziz
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10605 (2022)
Unmanned aerial vehicles (UAVs) have significant abilities for automatic detection and mapping of urban surface materials due to their high resolution. It requires a massive quantity of data to understand the ground material properties. In recent day
Externí odkaz:
https://doaj.org/article/e943c495ba8f4e9dac3e2928c08015bc
Autor:
Fatma S. Alrayes, Jaber S. Alzahrani, Khalid A. Alissa, Abdullah Alharbi, Hussain Alshahrani, Mohamed Ahmed Elfaki, Ayman Yafoz, Abdullah Mohamed, Anwer Mustafa Hilal
Publikováno v:
Drones, Vol 6, Iss 9, p 247 (2022)
Over the last few years, unmanned aerial vehicles (UAV), also called drones, have attracted considerable interest in the academic field and exploration in the research field of wireless sensor networks (WSN). Furthermore, the application of drones ai
Externí odkaz:
https://doaj.org/article/d9ce20c78db742c38ecad4864ca123ca
Autor:
Fatma S. Alrayes, Sami Dhahbi, Jaber S. Alzahrani, Amal S. Mehanna, Mesfer Al Duhayyim, Abdelwahed Motwakel, Ishfaq Yaseen, Amgad Atta Abdelmageed
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7950 (2022)
The Internet of Drones (IoD) is greatly developed and promotes many civil applications. However, it can still be prone to several security problems which threaten public safety. The issue of security poses further problems upon linking the IoD to the
Externí odkaz:
https://doaj.org/article/1fe8953e39f34c8ca911157b32d4def3