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Transfer learning for image classification using VGG19: Caltech-101 image data set.

, , , and . J. Ambient Intell. Humaniz. Comput., 14 (4): 3609-3620 (2023)

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Transfer learning for image classification using VGG19: Caltech-101 image data set., , , and . J. Ambient Intell. Humaniz. Comput., 14 (4): 3609-3620 (2023)Artificial Intelligence for Cybersecurity: Recent Advancements, Challenges and Opportunities., , , and . Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities, volume 1030 of Studies in Computational Intelligence, Springer, (2022)Multi-model Ensemble to Classify Acute Lymphoblastic Leukemia in Blood Smear Images., , , and . ICPR Workshops (1), volume 12661 of Lecture Notes in Computer Science, page 243-253. Springer, (2020)Detection of Edges in Color Images: A Review and Evaluative Comparison of State-of-the-Art Techniques., , and . AIS, volume 7326 of Lecture Notes in Computer Science, page 250-259. Springer, (2012)Recent Trends To Detect Melanoma Using Dermoscopic Images: A Survey., , and . ICCCNT, page 1-6. IEEE, (2023)RadioBERT: A deep learning-based system for medical report generation from chest X-ray images using contextual embeddings., and . J. Biomed. Informatics, (2022)Methods for automatic generation of radiological reports of chest radiographs: a comprehensive survey., , and . Multim. Tools Appl., 81 (10): 13409-13439 (2022)Lung cancer survival prognosis using a two-stage modeling approach., , , and . Multim. Tools Appl., 83 (22): 61407-61434 (July 2024)Understanding Direct Store Delivery: Design, Evaluation & Implications.. IndiaHCI, page 102-111. ACM, (2018)Deep-learning: A potential method for tuberculosis detection using chest radiography., , , , and . ICSIPA, page 497-502. IEEE, (2017)