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Listar RESULTADOS DE INVESTIGACIÓN por autor "Sharif, Muhammad"
Mostrando ítems 1-4 de 4
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A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier
Amin, Javeria; Anjum, Muhammad Almas; Sharif, Muhammad; Jabeen, Saima; Kadry, Seifedine; Moreno-Ger, Pablo (Computational Intelligence and Neuroscience, 2022)A brain tumor is an abnormal enlargement of cells if not properly diagnosed. Early detection of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a variety of shapes, sizes, and ... -
An Integrated Framework for COVID-19 Classification Based on Ensembles of Deep Features and Entropy Coded GLEO Feature Selection
Fayyaz, Abdul Muiz; Raza, Mudassar; Sharif, Muhammad; Shah, Jamal Hussain; Kadry, Seifedine; Sanjuán Martínez, Óscar (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2023)COVID-19 is a challenging worldwide pandemic disease nowadays that spreads from person to person in a very fast manner. It is necessary to develop an automated technique for COVID-19 identification. This work investigates ... -
Detection of anomaly in surveillance videos using quantum convolutional neural networks
Amin, Javeria; Anjum, Muhammad Almas; Ibrar, Kainat; Sharif, Muhammad; Kadry, Seifedine; González-Crespo, Rubén (Image and Vision Computing, 2023)Anomalous behavior identification is the process of detecting behavior that differs from its normal. These incidents will vary from violence to war, road crashes to kidnapping, and so on in a surveillance model. Video ... -
Visual Geometry Group based on U-Shaped Model for Liver/Liver Tumor Segmentation
Amin, Javeria; Almas Anjum, Muhammad; Sharif, Muhammad; Kadry, Seifedine; González-Crespo, Rubén (IEEE Latin America Transactions, 2023)Liver cancer is the primary reason of death around the globe. Manually detecting the infected tissues is a challenging and time-consuming task. The computerized methods help make accurate decisions and therapy processes. ...