A hybrid mutational Northern Goshawk and elite opposition learning artificial rabbits optimizer for PEMFC parameter estimation.

Autor: Jangir P; University Centre for Research and Development, Chandigarh University, Gharuan, 140413, Mohali, India.; Department of CSE, Graphic Era Hill University, Dehradun, 248002, India.; Department of CSE, Graphic Era Deemed To Be University, Dehradun, 248002, Uttarakhand, India.; Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan.; Jadara University Research Center, Jadara University, Irbid, Jordan., Ezugwu AE; Unit for Data Science and Computing, North-West University, 11, Hofman Street, Potchefstroom, 2520, South Africa. Absalom.ezugwu@nwu.ac.za., Saleem K; Department of Computer Science & Engineering, College of Applied Studies & Community Service, King Saud University, Riyadh, 11362, Saudi Arabia., Arpita; Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602 105, India., Agrawal SP; Department of Electrical Engineering, Government Engineering College, Gandhinagar, 382028, Gujarat, India., Pandya SB; Department of Electrical Engineering, Shri K.J. Polytechnic, Bharuch, 392 001, India., Parmar A; Department of Electrical Engineering, Shri K.J. Polytechnic, Bharuch, 392 001, India., Gulothungan G; Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chengalpattu, 603203, Tamilnadu, India., Abualigah L; Computer Science Department, Al al-Bayt University, Mafraq, 25113, Jordan.; Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India.

Publikováno v: Scientific reports [Sci Rep] 2024 Nov 19; Vol. 14 (1), pp. 28657. Date of Electronic Publication: 2024 Nov 19.

Revolutionizing crop disease detection with computational deep learning: a comprehensive review.

Autor: Ngugi HN; School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, King Edward Avenue, Pietermaritzburg, KwaZulu-Natal, 3201, South Africa., Ezugwu AE; Unit for Data Science and Computing, North-West University, 11 Hoffman Street, Potchefstroom, 2520, South Africa. Absalom.ezugwu@nwu.ac.za., Akinyelu AA; Department of Computer Science and Informatics, University of the Free State, Bloemfontein, South Africa., Abualigah L; Artificial Intelligence and Sensing Technologies (AIST) Research Center, University of Tabuk, Tabuk, 71491, Saudi Arabia. aligah.2020@gmail.com.; Computer Science Department, Al al-Bayt University, Mafraq, 25113, Jordan. aligah.2020@gmail.com.; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan. aligah.2020@gmail.com.; MEU Research Unit, Middle East University, Amman, 11831, Jordan. aligah.2020@gmail.com.; Department of Electrical and Computer Engineering, Lebanese American University, Byblos, 13-5053, Lebanon. aligah.2020@gmail.com.; School of Engineering and Technology, Sunway University Malaysia, Petaling Jaya, 27500, Malaysia. aligah.2020@gmail.com.; Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan. aligah.2020@gmail.com.; College of Engineering, Yuan Ze University, Taoyuan, Taiwan. aligah.2020@gmail.com.

Publikováno v: Environmental monitoring and assessment [Environ Monit Assess] 2024 Feb 24; Vol. 196 (3), pp. 302. Date of Electronic Publication: 2024 Feb 24.

A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data.

Autor: Mohamed TIA; School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, King Edward Avenue, Pietermaritzburg Campus, Pietermaritzburg, 3201, KwaZulu-Natal, South Africa. 221119335@stu.ukzn.ac.za., Ezugwu AE; Unit for Data Science and Computing, North-West University, Potchefstroom, South Africa. Absalom.ezugwu@nwu.ac.za., Fonou-Dombeu JV; School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, King Edward Avenue, Pietermaritzburg Campus, Pietermaritzburg, 3201, KwaZulu-Natal, South Africa., Ikotun AM; School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, King Edward Avenue, Pietermaritzburg Campus, Pietermaritzburg, 3201, KwaZulu-Natal, South Africa., Mohammed M; School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, King Edward Avenue, Pietermaritzburg Campus, Pietermaritzburg, 3201, KwaZulu-Natal, South Africa.

Publikováno v: Scientific reports [Sci Rep] 2023 Sep 05; Vol. 13 (1), pp. 14644. Date of Electronic Publication: 2023 Sep 05.

Automated COVID-19 detection with convolutional neural networks.

Autor: Dumakude A; School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, King Edward Avenue, Pietermaritzburg Campus, Pietermaritzburg, 3201, KwaZulu-Natal, South Africa., Ezugwu AE; Unit for Data Science and Computing, North-West University, 11 Hoffman Street, Potchefstroom, 2520, South Africa. Absalom.Ezugwu@nwu.ac.za.

Publikováno v: Scientific reports [Sci Rep] 2023 Jun 30; Vol. 13 (1), pp. 10607. Date of Electronic Publication: 2023 Jun 30.

Evolutionary binary feature selection using adaptive ebola optimization search algorithm for high-dimensional datasets.

Autor: Oyelade ON; Department of Computer Science, Faculty of Physical Sciences, Ahmadu Bello University, Zaria, Nigeria., Agushaka JO; Unit for Data Science and Computing, North-West University, Potchefstroom, South Africa., Ezugwu AE; Unit for Data Science and Computing, North-West University, Potchefstroom, South Africa.

Publikováno v: PloS one [PLoS One] 2023 Mar 17; Vol. 18 (3), pp. e0282812. Date of Electronic Publication: 2023 Mar 17 (Print Publication: 2023).