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An Integrated Framework for COVID-19 Classification Based on Ensembles of Deep Features and Entropy Coded GLEO Feature Selection
(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 ...
Analysis of the Pertinence of Indian Women's Institutions in Collaborative Research
(IEEE Transactions on Computational Social Systems, 2023)
Nowadays, the relevance of women-only educational institutes is questionable due to various reasons that include social uplifting, ample opportunities, and a free mindset among the population. Though women colleges and ...
Detection of anomaly in surveillance videos using quantum convolutional neural networks
(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
(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. ...
ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-06)
The lung is a vital organ in human physiology and disease in lung causes various health issues. The acute disease in lung is a medical emergency and hence several methods are developed and implemented to detect the lung ...