Search Results - subject:"Deep convolutional neural network"

Categorical classification of skin cancer using a weighted ensemble of transfer learning with test time augmentation

Ibrahim, Aliyu Tetengi; Abdullahi, Mohammed; Kana, … - In: Data science and management : DSM 8 (2025) 2, pp. 174-184

Skin cancer is the abnormal development of cells on the surface of the skin and is one of the most fatal diseases in humans. It usually appears in locations that are exposed to the sun, but can also appear in areas that are not regularly exposed to the sun. Due to the striking similarities...

Persistent link: https://www.econbiz.de/10015455583

A deep convolutional neural network for vibration-based health-monitoring of rotating machinery

Ong, Pauline; Tan Yean Keong; Lai Kee Huong; Chee Kiong Sia - 2023

of the entire mechanical system is of imperative importance. This study proposes a one-dimensional deep convolutional … neural network (1D-DCNN) to learn features directly from the vibrational signals and identify the gear fault under different …

Persistent link: https://www.econbiz.de/10014436400

A novel tracking system for the iron foundry field based on deep convolutional neural networks

Beck, Michael; Layh, Michael; Nebauer, Markus; Pinzer, … - In: Journal of Intelligent Manufacturing 33 (2022) 7, pp. 2119-2128

handheld scanner. With a deep convolutional neural network approach of object detection and classification, a stable image …

Persistent link: https://www.econbiz.de/10015165478

Binary classification of multi-magnification histopathological breast cancer images using late fusion and transfer learning

Nakach, Fatima-Zahrae; Zerouaoui, Hasnae; Idri, Ali - In: Data Technologies and Applications 57 (2023) 5, pp. 668-695

Purpose Histopathology biopsy imaging is currently the gold standard for the diagnosis of breast cancer in clinical practice. Pathologists examine the images at various magnifications to identify the type of tumor because if only one magnification is taken into account, the decision may not be...

Persistent link: https://www.econbiz.de/10014712737

Classification of ice crystal habits observed from airborne Cloud Particle Imager by deep transfer learning

Xiao, Haixia; Zhang, Feng; He, Qianshan; Liu, Pu; Yan, Fei - In: Earth and Space Science 6 (2019) 10, pp. 1877-1886

deep convolutional neural network based on the newly developed method of transfer learning. The results show that the TL …

Persistent link: https://www.econbiz.de/10012140657

Performance analysis and enhancement of deep convolutional neural network

Wang, Jinjiang; Ma, Yulin; Huang, Zuguang; Xue, Ruijuan; … - In: Business & information systems engineering : BISE ; the … 61 (2019) 3, pp. 311-326

Persistent link: https://www.econbiz.de/10012028158