Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ibrahim Hayatu Hassan"'
Autor:
Hassan Muhammad Yusuf, Sahabi Ali Yusuf, Amina Hassan Abubakar, Mohammed Abdullahi, Ibrahim Hayatu Hassan
Publikováno v:
Franklin Open, Vol 8, Iss , Pp 100154- (2024)
This systematic review paper provides a comprehensive analysis of the recent advances in deep learning techniques for rice disease recognition. Rice is one of the most important crops in the world, providing food for more than half of the global popu
Externí odkaz:
https://doaj.org/article/a0a6eeaf6e7d4a3aab2212ace00a974a
Autor:
Ibrahim Hayatu Hassan, Mohammed Abdullahi, Jeremiah Isuwa, Sahabi Ali Yusuf, Ibrahim Tetengi Aliyu
Publikováno v:
Franklin Open, Vol 8, Iss , Pp 100141- (2024)
Metaheuristic algorithms are commonly used in solving complex and NP-hard optimization problems in various fields. These algorithms have become popular because of their ability to explore and exploit solutions in various problem domains. Honey Badger
Externí odkaz:
https://doaj.org/article/082583ff886140aeb06c954ab210d97c
Publikováno v:
Materials, Vol 17, Iss 12, p 3032 (2024)
Ultra-high-performance concrete (UHPC) has been used in building joints due to its increased strength, crack resistance, and durability, serving as a repair material. However, efficient repair depends on whether the interfacial substrate can provide
Externí odkaz:
https://doaj.org/article/f172663d49ba4f279a6aa4cd88d8fc6f
Autor:
Jeremiah Isuwa, Mohammed Abdullahi, Yusuf Sahabi Ali, Ibrahim Hayatu Hassan, Jesse Romeo Buba, Ibrahim Aliyu, Jinsul Kim, Olaide Nathaniel Oyelade
Publikováno v:
Egyptian Informatics Journal, Vol 24, Iss 4, Pp 100416- (2023)
Microarray data represents a valuable tool for the identification of biomarkers associated with diseases and other biological conditions. Genes, in particular, are a type of biomarker that holds great importance for the identification and understandi
Externí odkaz:
https://doaj.org/article/f920723ddedb4424b740eaedbcfef8db
Autor:
Mohammed Abdullahi, Ibrahim Hayatu Hassan, Muhammad Dalhat Abdullahi, Ibrahim Aliyu, Jinsul Kim
Publikováno v:
IEEE Access, Vol 11, Pp 53315-53343 (2023)
The novel metaheuristic manta ray foraging optimization (MRFO) algorithm is based on the smart conduct of manta rays. The MRFO algorithm is a newly developed swarm-based metaheuristic approach that emulates the supportive conduct performed by manta r
Externí odkaz:
https://doaj.org/article/b5259aeae25c4ef49cfd0976632cd8bd
Autor:
Ibrahim Hayatu Hassan, Mohammed Abdullahi, Mansur Masama Aliyu, Sahabi Ali Yusuf, Abdulrazaq Abdulrahim
Publikováno v:
Intelligent Systems with Applications, Vol 16, Iss , Pp 200114- (2022)
The growth within the Internet and communications areas have led to a massive surge in the dimension of network and data. Consequently, several new threats are being created and have posed difficulties for security networks to correctly discover intr
Externí odkaz:
https://doaj.org/article/b9d58d70306642029820bafe5a47085e
Publikováno v:
Machine Learning with Applications, Vol 6, Iss , Pp 100108- (2021)
The recent advancements in science, engineering, and technology have facilitated huge generation of datasets. These huge datasets contain noisy, redundant, and irrelevant features which negatively affects the performance of classification techniques
Externí odkaz:
https://doaj.org/article/d24e15437af34f428c0e1f4db1d59e76
Autor:
John Oche Onah, Shafi’i Muhammad Abdulhamid, Mohammed Abdullahi, Ibrahim Hayatu Hassan, Abdullah Al-Ghusham
Publikováno v:
Machine Learning with Applications, Vol 6, Iss , Pp 100156- (2021)
The sharp rise in network attacks has been a major source of concern in cyber security, particularly that now internet usage and connectivity are in high demand. As a complement to cloud computing, fog computing can offer low-latency services among u
Externí odkaz:
https://doaj.org/article/0eb409d75520449fb5033ac08b3102c7
Autor:
Benyamin Abdollahzadeh, Silifat Adaramaja Abdulraheem, Iyad Abu-Doush, Mohammed Azmi Al-Betar, Yusuf Sahabi Ali, Khalifa Al-Jabri, Ghazi Al-Rawas, Ankush Anand, Mohammed A. Awadallah, Parnian Hashempour Bakhtiari, P. Shanthi Bala, Kusum Kumari Bharti, Gautam M. Borkar, Malik Shehadeh Braik, Özay Can, Soumitri Chattopadhyay, Aybike Özyüksel Çiftçioğlu, Ahmet Cevahir Cinar, Serdar Ekinci, Hasan Eroğlu, Amir H. Gandomi, Mohammadali Geranmehr, Farhad Soleimanian Gharehchopogh, Ibrahim Hayatu Hassan, Davut Izci, Sehej Jain, Isuwa Jeremiah, Ersin Kaya, Muhammad Najeeb Khan, Nima Khodadadi, Hisham M. Khudhur, Krishanu Kundu, Aritra Marik, Mansur Aliyu Masama, Mwangi Mbuthia, Seyedali Mirjalili, Abdullahi Mohammed, Rafaa Mraihi, Mohammad Reza Nikoo, Abraham Nyete, Ali Öztürk, Narendra Nath Pathak, Anita R. Patil, Rishav Pramanik, Bochra Rabbouch, Hana Rabbouch, Sajad Ahmad Rather, Foued Saâdaoui, Davies Segera, Sevil Sen, Amit Kumar Sinha, Bahaeddin Turkoglu, Sait Ali Uymaz, Selim Yilmaz, Ehsan Yousefi-Khoshqalb
Publikováno v:
Comprehensive Metaheuristics ISBN: 9780323917810
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dd6226b3aa5e931607ec81c35cf9841
https://doi.org/10.1016/b978-0-323-91781-0.09992-0
https://doi.org/10.1016/b978-0-323-91781-0.09992-0
Publikováno v:
Comprehensive Metaheuristics ISBN: 9780323917810
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7236bd6b52e529e75d9e00bcbff7dd86
https://doi.org/10.1016/b978-0-323-91781-0.00006-5
https://doi.org/10.1016/b978-0-323-91781-0.00006-5