Joint Energy Management and Energy Trading in Residential Microgrid System

Autor: Sadiq Ahmad, Majed M. Alhaisoni, Muhammad Naeem, Ayaz Ahmad, Muhammad Altaf

Publikováno v: IEEE Access, Vol 8, Pp 123334-123346 (2020)

The sustainability of the power systems assures consumers to have efficient and cost-effective energy consumption. Consumers' energy management is one of the solutions that in fact boosts the power system stability via efficiently scheduling the appl

Externí odkaz: https://doaj.org/article/dc5a07fa10994023a609bbd6b3700137

BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification.

Autor: Ullah MS; Department of Computer Science, HITEC University, Taxila, Pakistan., Khan MA; Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.; Department of Computer Science, HITEC University, Taxila, 47080, Pakistan., Almujally NA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, PO Box 84428, 11671, Riyadh, Saudi Arabia., Alhaisoni M; Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia., Akram T; Department of ECE, COMSATS University Islamabad, Wah Campus, Rawalpindi, Pakistan., Shabaz M; Model Institute of Engineering and Technology, Jammu, J&K, India. bhatsab4@gmail.com.

Publikováno v: Scientific reports [Sci Rep] 2024 Mar 11; Vol. 14 (1), pp. 5895. Date of Electronic Publication: 2024 Mar 11.

SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm.

Autor: Hussain M; Department of CS, HITEC University, Taxila 47080, Pakistan., Khan MA; Department of Computer Science and Mathematics, Lebanese American University, Beirut 13-5053, Lebanon.; Department of Computer Science, HITEC University, Taxila 47080, Pakistan., Damaševičius R; Center of Excellence Forest 4.0, Faculty of Informatics, Kaunas University of Technology, 51368 Kaunas, Lithuania., Alasiry A; College of Computer Science, King Khalid University, Abha 61413, Saudi Arabia., Marzougui M; College of Computer Science, King Khalid University, Abha 61413, Saudi Arabia., Alhaisoni M; Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11564, Saudi Arabia., Masood A; Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway.

Publikováno v: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Sep 06; Vol. 13 (18). Date of Electronic Publication: 2023 Sep 06.

BC ² NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features Selection.

Autor: Jabeen K; Department of Computer Science, HITEC University, Taxila 47080, Pakistan., Khan MA; Department of Computer Science, HITEC University, Taxila 47080, Pakistan., Balili J; College of Computer Science, King Khalid University, Abha 61413, Saudi Arabia.; Higher Institute of Applied Science and Technology of Sousse (ISSATS), Cité Taffala (Ibn Khaldoun) 4003 Sousse, University of Souse, Sousse 4000, Tunisia., Alhaisoni M; College of Computer Science and Engineering, University of Ha'il, Ha'il 81451, Saudi Arabia., Almujally NA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia., Alrashidi H; Faculty of Information Technology and Computing, Arab Open University, Ardiya 92400, Kuwait., Tariq U; Department of Management, CoBA, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia., Cha JH; Department of Computer Science, Hanyang University, Seoul 04763, Republic of Korea.

Publikováno v: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Mar 25; Vol. 13 (7). Date of Electronic Publication: 2023 Mar 25.

Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Autor: Krishnamoorthy S; Zhejiang Bioinformatics International Science and Technology Cooperation Center, Wenzhou-Kean University, Wenzhou, Zhejiang Province, China.; Wenzhou Municipal Key Lab of Applied Biomedical and Biopharmaceutical Informatics, Wenzhou-Kean University, Wenzhou, Zhejiang Province, China., Zhang Y; Department of Neurology, Wenzhou Central Hospital Medical Group, Wenzhou 325000, China., Kadry S; Department of Applied Data Science, Noroff University College, Kristiansand, Norway.; Artificial Intelligence Research Center (AIRC), Ajman University, Ajman 346, UAE.; Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon., Khan MA; Department of Computer Science, HITEC University, Taxila, Pakistan., Alhaisoni M; Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11671, Saudi Arabia., Mustafa N; Wenzhou-Kean University, School of Science and Technology, Wenzhou, Zhejiang Province, China., Yu W; Wenzhou-Kean University, School of Science and Technology, Wenzhou, Zhejiang Province, China., Alqahtani A; College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.

Publikováno v: Computational intelligence and neuroscience [Comput Intell Neurosci] 2023 Feb 21; Vol. 2023, pp. 4776770. Date of Electronic Publication: 2023 Feb 21 (Print Publication: 2023).