LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection.

Autor: Kachare P; Department of Electronics and Telecommunication, Ramrao Adik Institute of Technology, D. Y. Patil Campus, Navi-Mumbai, Maharashtra, 400706, India., Puri D; Department of Electronics and Telecommunication, Ramrao Adik Institute of Technology, D. Y. Patil Campus, Navi-Mumbai, Maharashtra, 400706, India., Sangle SB; Department of Electronics and Telecommunication, Ramrao Adik Institute of Technology, D. Y. Patil Campus, Navi-Mumbai, Maharashtra, 400706, India., Al-Shourbaji I; Department of Electrical and Electronics Engineering, Jazan University, Jazan, 45142, Saudi Arabia.; Department of Computer Science, University of Hertfordshire, Hatfield, UK., Jabbari A; Department of Electrical and Electronics Engineering, Jazan University, Jazan, 45142, Saudi Arabia., Kirner R; Department of Computer Science, University of Hertfordshire, Hatfield, UK., Alameen A; Department of Computer Engineering and Information, College of Engineering in Wadi Alddawasir, Prince Sattam Bin Abdulaziz University, Wadi Alddawasir, 11991, Saudi Arabia., Migdady H; CSMIS Department, Oman College of Management and Technology, 320, Barka, Oman., Abualigah L; Jadara Research Center, Jadara University, Irbid, 21110, Jordan. aligah.2020@gmail.com.; Computer Science Department, Al al-Bayt University, Mafraq, 25113, Jordan. aligah.2020@gmail.com.; MEU Research Unit, Middle East University, Amman, 11831, Jordan. aligah.2020@gmail.com.; Applied science research center, Applied science private university, Amman, 11931, Jordan. aligah.2020@gmail.com.

Publikováno v: Physical and engineering sciences in medicine [Phys Eng Sci Med] 2024 Sep; Vol. 47 (3), pp. 1037-1050. Date of Electronic Publication: 2024 Jun 11.

A Novel Deep Learning Approach for Forecasting Myocardial Infarction Occurrences with Time Series Patient Data.

Autor: Sayed MS; Department of Statistics, Jahangirnagar University, Dhaka, Bangladesh., Rony MAT; Department of Statistics, Noakhali Science & Technology University, Noakhali, 3814, Bangladesh., Islam MS; Department of Computer Science and Telecommunication Engineering, Noakhali Science & Technology University, Noakhali, 3814, Bangladesh., Raza A; Department of Software Engineering, University Of Lahore, Lahore, 54000 , Pakistan. ali.raza.scholarly@gmail.com., Tabassum S; Department of Statistics, Noakhali Science & Technology University, Noakhali, 3814, Bangladesh., Daoud MS; College of Engineering, Al Ain University, Abu Dhabi, 112612, UAE., Migdady H; CSMIS Department, Oman College of Management and Technology, Barka, 320, Oman., Abualigah L; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan. aligah@usm.my.; Computer Science Department, Al al-Bayt University, Mafraq, 25113, Jordan. aligah@usm.my.; MEU Research Unit, Middle East University, Amman, 11831, Jordan. aligah@usm.my.; Applied science research center, Applied science private university, Amman, 11931, Jordan. aligah@usm.my.; Artificial Intelligence and Sensing Technologies (AIST) Research Center, University of Tabuk, Tabuk, 71491, Saudi Arabia. aligah@usm.my.

Publikováno v: Journal of medical systems [J Med Syst] 2024 May 22; Vol. 48 (1), pp. 53. Date of Electronic Publication: 2024 May 22.

Plant disease recognition using residual convolutional enlightened Swin transformer networks.

Autor: Kalpana P; Department of Computer Science Engineering, Vels Institute of Science Technology and Advanced Studies, Chennai, Tamil Nadu, 600117, India. kalpanaraogonait@gmail.com., Anandan R; Department of Computer Science Engineering, Vels Institute of Science Technology and Advanced Studies, Chennai, Tamil Nadu, 600117, India., Hussien AG; Department of Computer and Information Science, Linköping University, Linköping, Sweden. abdelazim.hussien@liu.se.; Faculty of Science, Fayoum University, Fayoum, Egypt. abdelazim.hussien@liu.se., Migdady H; CSMIS Department, Oman College of Management and Technology, 320, Barka, Oman., Abualigah L; Artificial Intelligence and Sensing Technologies (AIST) Research Center, University of Tabuk, 71491, Tabuk, Saudi Arabia.; Computer Science Department, Al Al-Bayt University, Mafraq, 25113, Jordan.; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan.; MEU Research Unit, Middle East University, Amman, 11831, Jordan.; Department of Electrical and Computer Engineering, Lebanese American University, Byblos, 13-5053, Lebanon.; School of Computer Sciences, Universiti Sains Malaysia, 11800, George Town, Penang, Malaysia.; School of Engineering and Technology, Sunway University Malaysia, 27500, Petaling Jaya, Malaysia.; Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan.; College of Engineering, Yuan Ze University, Taoyuan, Taiwan.

Publikováno v: Scientific reports [Sci Rep] 2024 Apr 15; Vol. 14 (1), pp. 8660. Date of Electronic Publication: 2024 Apr 15.

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