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Tech Xplore on MSN7d
All-topographic neural networks more closely mimic the human visual systemDeep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...
The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...
The graph neural network (GNN) exhibits noteworthy performance in hyperspectral image classification (HSIC) due to its efficient message-passing structure, which employs the multilayer perceptron (MLP ...
Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...
A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...
In May 2025, the Journal for ImmunoTherapy of Cancer published a pioneering study entitled "NeoPred: dual-phase CT AI forecasts pathologic response to ...
Tribune Online on MSN6d
I’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 ...
The Brighterside of News on MSN11d
Advanced AI cracks 500 year-old art mysteryArt authentication is no longer just about the trained eye—it’s now a high-stakes blend of science, history, and cutting-edge ...
Dog and Cat Images Classification Using Convolutional-Neural-Networks - sushanth43/Image-Classification-using-Convolutional-Neural-Networks ...
A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...
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