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Image Classification using CNN Keras ¦ Full implementation
Image Classification using CNN Keras ¦ Full implementation Posted: 7 May 2025 | Last updated: 7 May 2025 Welcome to Learn with Jay – your go-to channel for mastering new skills and boosting ...
Semiconductor Engineering5mon
Wafer Bin Map Defect Classification Using Semi-Supervised Learning
A new technical paper titled “Semi-Supervised Learning with Wafer-Specific Augmentations for Wafer Defect Classification” was published ... posed by wafer bin map data in applying conventional image ...
Scientific Research Publishing6mon
A Novel Defibrillator-Specific Coprocessor Capable of Running Entropy and CNN Integration Algorithms ()
It is versatile enough for use in various medical devices for which one-dimensional signal processing is necessary, not limited to defibrillators. 2. Materials and Methods 2.1. Experimental Materials ...
GitHub8mon
Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks
The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims ... Neural Networks (CNNs), to process and analyze medical images. The CNN models are ...
IEEE2y
Hyperspectral Image Classification: An Analysis Employing CNN, LSTM, Transformer, and Attention Mechanism
Among the types of processing that may be applied to Hyperspectral Images, classification ... the 2D-CNN and 3D-CNN architectures in accuracy using only spectral information. The results also show ...
Frontiers3y
FPGA-Based CNN for Real-Time UAV Tracking and Detection
We use a pooling layer to down sample the image (e.g., Max pooling ... 2020), we processed a single CNN layer at a time (i.e., in a one clock cycle) with partitioning through tiling. A block diagram ...
Frontiers4y
A Simplified CNN Classification Method for MI-EEG via the Electrode Pairs Signals
CNNs have made remarkable achievements in the field of image classification ... layers are the convolutional layers; the fourth, sixth, eighth, and tenth layers are the max pooling layers; and the ...