Abstract: The paper introduces the design and FPGA implementation of a convolutional neural network (CNN)-based, low-cost and low-energy diagnostic platform that classifies pulmonary diseases. The ...
Abstract: The COVID-19 has caused mass casualties due to its rapid spread and lack of vaccines. Pathological lesions in lungs caused by COVID-19 is the main symptom which are easier to be detected ...
Abstract: The paper uses Google newest open-source Tensorflow framework to build the model of gesture recognition, introduces the platform characteristics of Tensorflow, and puts forward a convolution ...
Real-time SMS text classification using Neural Networks and Deep Learning. Features 97%+ accuracy and a responsive web interface. A simple SMS spam classifier that cleans text, converts it using ...
Abstract: Alzheimer’s Disease (AD) is a progressive neurological disorder that leads to significant deterioration in cognitive functions and memory. AD is accompanied by many symptoms like memory loss ...
Abstract: Action recognition based on skeleton key joints has gained popularity due to its cost effectiveness and low complexity. Existing Convolutional Neural Network (CNN) based models mostly fail ...
Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
A professional web application for detecting and classifying waste using AI technology. ├── index.html # Landing page ├── detector.html # Garbage detection page ├── styles.css # Shared styles for both ...
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