IEEE

Convolutional Neural Networks Performance Investigation in Banana Ripeness Classification: Impact of Model, Padding, and Optimizer

Abstract: Manual identification of banana ripeness often relies on subjective human perception, which can result in quality variations and inconsistent sorting, especially on a large scale. This ...
marktechpost

The Statistical Cost of Zero Padding in Convolutional Neural Networks (CNNs)

img = Image.open('/content/Gemini_Generated_Image_dtrwyedtrwyedtrw.png').convert('L') # Load as Grayscale img_array = np.array(img) / 255.0 # Normalize to [0, 1] plt ...
Scientific Research Publishing

Damage Detection in Simply Supported Beams Using 1D Convolutional Neural Networks with Vibration Signals ()

1 Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 Research Center for Wind ...
GitHub

VESC ML Telemetry Analyzer

The purpose of the VESC Analyzer project is to train a machine learning model to identify rider behaviors and detect anomalies resulting from improper device configuration or hardware malfunction in ...
pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
IEEE

PreCM: The Padding-Based Rotation Equivariant Convolution Mode for Semantic Segmentation

Abstract: Semantic segmentation is an important branch of image processing and computer vision. With the popularity of deep learning, various convolutional neural networks have been proposed for pixel ...
Scientific Research Publishing

Speech Emotion Recognition Based on CNN-Transformer with Different Loss Function ()

Speech Emotion Recognition (SER) is crucial for enhancing human-computer interactions by enabling machines to understand and respond appropriately to human emotions. However, accurately recognizing ...