[HTML][HTML] Environmental Sound Classification: A descriptive review of the literature
Automatic environmental sound classification (ESC) is one of the upcoming areas of
research as most of the traditional studies are focused on speech and music signals …
research as most of the traditional studies are focused on speech and music signals …
A deep analysis of brain tumor detection from mr images using deep learning networks
MI Mahmud, M Mamun, A Abdelgawad - Algorithms, 2023 - mdpi.com
Creating machines that behave and work in a way similar to humans is the objective of
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
Digital transformation of thermal and cold spray processes with emphasis on machine learning
K Malamousi, K Delibasis, B Allcock… - Surface and Coatings …, 2022 - Elsevier
Thermal spray technologies continuously evolve to meet new challenges arising from
current and future market needs and requirements. This evolution has been well …
current and future market needs and requirements. This evolution has been well …
A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse …
JL Gayathri, B Abraham, MS Sujarani… - Computers in biology and …, 2022 - Elsevier
Several infectious diseases have affected the lives of many people and have caused great
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
Rethinking CNN models for audio classification
In this paper, we show that ImageNet-Pretrained standard deep CNN models can be used
as strong baseline networks for audio classification. Even though there is a significant …
as strong baseline networks for audio classification. Even though there is a significant …
DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images
F Demir - Applied soft computing, 2021 - Elsevier
The new coronavirus, known as COVID-19, first emerged in Wuhan, China, and since then
has been transmitted to the whole world. Around 34 million people have been infected with …
has been transmitted to the whole world. Around 34 million people have been infected with …
Real‐Time Implementation of AI‐Based Face Mask Detection and Social Distancing Measuring System for COVID‐19 Prevention
Since the infectious coronavirus disease (COVID‐19) was first reported in Wuhan, it has
become a public health problem in China and even around the world. This pandemic is …
become a public health problem in China and even around the world. This pandemic is …
Deep learning-based cattle vocal classification model and real-time livestock monitoring system with noise filtering
Simple Summary In the application of artificial intelligence and advanced sound
technologies in animal sound classification, certain challenges are still faced, such as the …
technologies in animal sound classification, certain challenges are still faced, such as the …
Robustness of musical features on deep learning models for music genre classification
Music information retrieval (MIR) has witnessed rapid advances in various tasks like musical
similarity, music genre classification (MGC), etc. MGC and audio tagging are approached …
similarity, music genre classification (MGC), etc. MGC and audio tagging are approached …
Efficient classification of environmental sounds through multiple features aggregation and data enhancement techniques for spectrogram images
Over the past few years, the study of environmental sound classification (ESC) has become
very popular due to the intricate nature of environmental sounds. This paper reports our …
very popular due to the intricate nature of environmental sounds. This paper reports our …