Android-based CNN Tomato Leaf Disease Detection Using Image Classification with 98.2% accuracy. Runs offline on your Android phone. No server needed. No subscription fees.

A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

Abstract: Deep learning-based methods, especially deep convolutional neural networks (CNNs), have shown their effectiveness for hyperspectral image (HSI) classification. In previous deep CNN-based HSI ...

Abstract: Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images. Convolutional neural network (CNN) ...

This project focuses on classifying breast cancer histopathology images into two classes: benign and malignant. The main problem is that breast cancer diagnosis from histopathology images requires ...

Luana Lopes Lara speaks during Inc. Founders House Los Angeles Presents Building Fast Amid Regulatory Red Tape Featuring Luana Lopes Lara, Co-founder And COO, Kalshi And Brandon Millman, Co-founder ...

Automation in the food industry has accelerated in recent years, driven by demographic shifts, labor shortages, and ...

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

The court noted that for an orthodox Sikh, the turban is not a mere accessory or a matter of personal style but an ...

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

The Supreme Court on Tuesday knocked down Donald Trump’s effort to end birthright citizenship as it has been understood for ...