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pro vyhledávání: '"Shahbaz Siddeeq"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 2111-2129 (2024)
In fashion e-commerce, predicting item compatibility using visual features remains a significant challenge. Current recommendation systems often struggle to incorporate high-dimensional visual data into graph-based learning models effectively. This l
Externí odkaz:
https://doaj.org/article/ebbfe94ab6304116a578a54aa9cd6b6a
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 2828 (2023)
Fashion image clustering is the key to fashion retrieval, forecasting, and recommendation applications. Manual labeling-based clustering is both time-consuming and less accurate. Currently, popular methods for extracting features from data use deep l
Externí odkaz:
https://doaj.org/article/ca52792f3b354411b004139df47e4a2c
Publikováno v:
2021 The 4th International Conference on Image and Graphics Processing.
The most efficient and ordinarily used early detection method of breast cancer is screening mammography and deep learning is widely employed in the medical imaging domain. But In the medical circumstances, large data size for training is a significan
Publikováno v:
BIBM
The presence of different malicious regions on a single breast reveal some necessary information for breast cancer early detection. In current computer-aided diagnosis models, different lesions contained in a single mammogram are not detected and seg
Autor:
Hadiqa Jalil Khan, Arslan Manzoor, Hafiz Muhammd Ali Bhatti, Qiao Pan, Mulubrhan Ayalew Wedagu, Shahbaz Siddeeq
Publikováno v:
BIBM
Lung diseases are among the most widely recognized reasons for serious disease and passing around the world. The timely analysis is crucial to lessen the risk of any disease and if any disease is diagnosed, then precautions or medicines are immediate