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Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.
A deep learning system can accurately detect vision-threatening diabetic retinopathy, demonstrating specialist-level diagnostic performance.
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Tribune Online on MSNI’m focused on solutions that detect cancer early, improve patients’ outcome —Esther Ugwueke, US-based biomedical expertEsther Ugwueke is a biomedical expert and PhD student at the University of Nebraska Medical Center, United States, where she studies and researches lung cancer using bioinformatics, artificial ...
The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of ...
Graph convolutional network (GCN) combined with convolutional neural network (CNN) exhibits significant potential in hyperspectral image (HSI) classification. Hypergraph convolutional network (HGCN) ...
The study addresses a common challenge in sustainable waste management: real-time classification of household waste under ...
The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...
The deep learning system distinguishes IIH, NAION, and healthy eyes with 93.6% accuracy, aiding in resource-limited settings.
Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...
Background Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with ...
Artificial intelligence (AI) is entering the mainstream. The term encompasses a wide variety of machines that can learn from ...
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