تصفح KINDI Center for Computing Research حسب المؤلف "Suganthan, Ponnuthurai N."
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Automated layer-wise solution for ensemble deep randomized feed-forward neural network
Hu, Minghui; Gao, Ruobin; Suganthan, Ponnuthurai N.; Tanveer, M. ( Elsevier B.V. , 2022 , Article)The randomized feed-forward neural network is a single hidden layer feed-forward neural network that enables efficient learning by optimizing only the output weights. The ensemble deep learning framework significantly ... -
A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks
Abdel-Nabi, Heba; Ali, Mostafa; Awajan, Arafat; Daoud, Mohammad; Alazrai, Rami; Suganthan, Ponnuthurai N.; Ali, Talal... more authors ... less authors ( Springer , 2023 , Other)Medical Imaging has become a vital technique that has been embraced in the diagnosis and treatment process of cancer. Histopathological slides, which microscopically examine the suspicious tissue, are considered the golden ... -
An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization
Abdel-Nabi, Heba; Ali, Mostafa; Daoud, Mohammad; Alazrai, Rami; Awajan, Arafat; Reynolds, Robert; Suganthan, Ponnuthurai N.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Real-life problems can be expressed as optimization problems. These problems pose a challenge for researchers to design efficient algorithms that are capable of finding optimal solutions with the least budget. Stochastic ... -
Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future
Osaba, Eneko; Del Ser, Javier; Suganthan, Ponnuthurai N. ( Elsevier B.V. , 2022 , Article)Transfer Optimization has gained a remarkable attention from the Swarm and Evolutionary Computation community in the recent years. It is undeniable that the concepts underlying Transfer Optimization are formulated on solid ... -
Wireless Network Slice Assignment with Incremental Random Vector Functional Link Network
He, Yu Lin; Ye, Xuan; Cui, Laizhong; Fournier-Viger, Philippe; Luo, Chengwen; Huang, Joshua Zhexue; Suganthan, Ponnuthurai N.... more authors ... less authors ( IEEE Computer Society , 2022 , Article)This paper presents an artificial intelligence-assisted network slice prediction method, which utilizes a novel incremental random vector functional link (IRVFL) network to deal with the wireless network slice assignment ...