IEEE

AI Generated Speech Detection Using CNN

Abstract: The recent rapid developments in generative-AI research has made it exceedingly hard to distinguish artificially generated audio-visual content from real ones. As a result, reliably ...
IEEE

ISL Recognition of Emergency Words Using MediaPipe, CNN and LSTM

Abstract: This research paper focuses on the development, improvement and evaluation of a machine learning model for recognizing Indian Sign Language (ISL) hand gestures in emergency situations. By ...
IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
IEEE

Automatic Persian Speech Emotion Recognition: A CNN-Based Approach Using PDREC and ShEMO Datasets

Abstract: The need for advanced Speech Emotion Recognition (SER) systems has grown with the development of human-machine interaction technologies. This paper introduces a CNN model specifically ...
IEEE

IoT-Enabled Real Time Air Quality Monitoring Using Hybrid CNN-RNN with Attention Mechanism

Abstract: Monitoring the environment, particularly air quality, is vital for protecting public health, ensuring safety, and effectively reducing pollution levels. However, using physical models often ...
IEEE

LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
IEEE

An Interpretable Brain Tumour Classification Approach using Machine Learning and CNN-based features

Abstract: Cancer, a disease that does not discriminate; impacting people from all walks of life. Numerous types of cancer affect humans, each with distinct characteristics and treatment approaches.
IEEE

Development of Real Time CNN-Based System for Telugu Word Recognition on Raspberry Pi

Abstract: The recognition of handwritten regional scripts remains a significant challenge in the domain of Optical Character Recognition (OCR), particularly for complex languages such as Telugu. This ...
IEEE

Optimization of Reconfigurable Intelligent Surface Codebooks Using a Mutual Coupling Aware CNN Model of Scattered Fields

Abstract: Digital reconfigurable intelligent surfaces (RISs) consist of unit cells that can operate in a finite number of discrete states, typically controlled by switching circuits. The selection of ...
GitHub

FaultSeg3D: using synthetic datasets to train an end-to-end convolutional neural network for 3D seismic fault segmentation

If you would just like to try out a pretrained example model, then you can download the pretrained model and use the 'prediction.ipynb' script to run a demo. On 05/07/2020, new models are uploaded for ...
CNN

Serbian police use teargas to disperse anti-government protesters

Serbia’s police on Friday used teargas and stun grenades at a university campus in Novi Sad to disperse protesters who demanded a snap vote they hope would oust president Aleksandar Vucic and his ...
CNN

Judge: Trump Illegally Using Military As “National Police Force”

Judge: Trump Illegally Using Military As “National Police Force” National Guard troops deployed in Washington, DC, as part of President Donald Trump’s anti-crime initiative are expected to have their ...