With this motivation, this work presents an intelligent coyote optimization algorithm with DL based DR detection and grading (ICOA-DLDRD) model on retinal ...
A Deep Learning-Based Coyote Detection System. Using Audio Data. Heesun Jung. Dept. Computer Science. Hallym University. Chuncheon, South Korea glee623@naver.
Deep learning based malicious drone detection using acoustic and image data. J ... 2020. A Deep Learning-Based Coyote Detection System Using Audio Data. H Jung ...
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My research aims to utilize machine learning and audio technologies to develop an intelligent, accurate, and efficient detection and classification system for ...
Jul 10, 2023 · I was excited to see WSJ featuring Shazam. The 6-minute video explains how Shazam works, albeit in a simple manner.
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This article devises an Enhanced Coyote Optimization with Deep Learning based Intrusion Detection System for Cloud Security (ECODL-IDSCS) model. The ECODL-IDSCS ...
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Oct 3, 2023 · So, I'd recommend exploring deep learning approaches for audio tasks. They allow the model to learn intricate features and context from raw ...
Jan 29, 2016 · You can train a DBN-DNN system on fbank for classifying animals sounds. ... Making statements based ... Best way to handle padding in time series ...
In the primary stage, the ICOADL-HAR model allows a data normalization process using the Z-score approach. For activity recognition, the ICOADL-HAR technique ...
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Abstract. This paper proposes a speech emotion recognition method based on speech features and speech transcriptions (text). Speech features such as Spec-.