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The aim of the work is to design a secure and accurate Speech Emotion Recognition (SER) system using a RNN model to classify emotions from speech data. The system’s predictive accuracy is evaluated ...
A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of ...
Palmistry, an ancient tradition interpreting hand features, offers insights into personality traits, life potential, and destiny. While automated palmistry solutions exist, they often overlook ...
Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...
There are numerous pre-trained Convolutional Neural Networks (CNN) introduced in the literature, such as AlexNet, VGG-19, and ResNet. These pre-trained CNN models could be reused and applied to tackle ...
Our method applies Python in combination with TensorFlow and OpenCV tools to both detect and identify facial emotional expressions from seven fundamental categories covering happiness, surprise, anger ...
The integrated Global Navigation Satellite System (GNSS)/Inertial Navigation System (INS) system has been widely used in vehicular positioning and navigation. However, the complex unstructured ...
This senior thesis develops a real-time handwritten digit identification system using a Raspberry Pi 3B+ with a camera module, leveraging a lightweight CNN optimized with MNIST. The project highlights ...
For your reference, I built OpenCV 5.0 alpha from source (with vs2022) and installed it on a standalone Python environment. Meanwhile, the OpenCV 4.x version was installed in a Conda virtual ...
Atrial fibrillation (AF) is a cardiac arrhythmia which leads to ischemic stroke. This paper presents a real-time AF detection method with reduction in energy consumption and false alarms for wearable ...