Performance enhancement of artificial intelligence: A survey
M Krichen, MS Abdalzaher - Journal of Network and Computer Applications, 2024 - Elsevier
The advent of machine learning (ML) and Artificial intelligence (AI) has brought about a
significant transformation across multiple industries, as it has facilitated the automation of …
significant transformation across multiple industries, as it has facilitated the automation of …
A survey on deep learning based forest environment sound classification at the edge
Forest ecosystems are of paramount importance to the sustainable existence of life on earth.
Unique natural and artificial phenomena pose severe threats to the perseverance of such …
Unique natural and artificial phenomena pose severe threats to the perseverance of such …
The internet of sounds: Convergent trends, insights, and future directions
Current sound-based practices and systems developed in both academia and industry point
to convergent research trends that bring together the field of sound and music Computing …
to convergent research trends that bring together the field of sound and music Computing …
Evaluating the performance of pre-trained convolutional neural network for audio classification on embedded systems for anomaly detection in smart cities
Environmental Sound Recognition (ESR) plays a crucial role in smart cities by accurately
categorizing audio using well-trained Machine Learning (ML) classifiers. This application is …
categorizing audio using well-trained Machine Learning (ML) classifiers. This application is …
A comparative study of preprocessing and model compression techniques in deep learning for forest sound classification
Deep-learning models play a significant role in modern software solutions, with the
capabilities of handling complex tasks, improving accuracy, automating processes, and …
capabilities of handling complex tasks, improving accuracy, automating processes, and …
A review of AI edge devices and lightweight CNN deployment
Abstract Artificial Intelligence of Things (AIoT) which integrates artificial intelligence (AI) and
the Internet of Things (IoT), has attracted increasing attention recently. With the remarkable …
the Internet of Things (IoT), has attracted increasing attention recently. With the remarkable …
A comparison of deep learning inference engines for embedded real-time audio classification
Recent advancements in deep learning have shown great potential for audio applications,
improving the accuracy of previous solutions for tasks such as music transcription, beat …
improving the accuracy of previous solutions for tasks such as music transcription, beat …
Embedded sensing system for recognizing citrus flowers using cascaded fusion YOLOv4-CF+ FPGA
S Lyu, Y Zhao, R Li, Z Li, R Fan, Q Li - Sensors, 2022 - mdpi.com
Florescence information monitoring is essential for strengthening orchard management
activities, such as flower thinning, fruit protection, and pest control. A lightweight object …
activities, such as flower thinning, fruit protection, and pest control. A lightweight object …
On the challenges of embedded real-time music information retrieval
Real-time applications of Music Information Retrieval (MIR) have been gaining interest as of
recently. However, as deep learning becomes more and more ubiquitous for music analysis …
recently. However, as deep learning becomes more and more ubiquitous for music analysis …
A High Accuracy and Low Power CNN-Based Environmental Sound Classification Processor
L Peng, J Yang, Z Chen, L Yan, X Jiao… - … on Circuits and …, 2023 - ieeexplore.ieee.org
The environmental sound classification (ESC) has attracted increasing attention as the
environmental sound contains a wealth of information that can be used to detect particular …
environmental sound contains a wealth of information that can be used to detect particular …