Anomaly detection using deep neural network for IoT architecture
The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …
popularity over the last decade, resulting in an exponential growth in the IoT networks …
[HTML][HTML] An intelligent Medical Cyber–Physical System to support heart valve disease screening and diagnosis
Cardiovascular diseases are currently the major causes of death globally. Among the
strategies to prevent cardiovascular issues, the automated classification of heart sound …
strategies to prevent cardiovascular issues, the automated classification of heart sound …
Mobile application based speech and voice analysis for COVID-19 detection using computational audit techniques
Purpose It has been six months from the time the first case was registered, and nations are
still working on counter steering regulations. The proposed model in the paper …
still working on counter steering regulations. The proposed model in the paper …
[PDF][PDF] On the possibility of using speech to detect COVID-19 symptoms: An overview and proof of concept
The COVID-19 pandemic has altered our lives drastically and unprecedented steps have
been taken to minimize the spread of the novel corona-virus which causes COVID-19. As of …
been taken to minimize the spread of the novel corona-virus which causes COVID-19. As of …
SPAIC: a spike-based artificial intelligence computing framework
Neuromorphic computing is an emerging research field that aims to develop new intelligent
systems by integrating theories and technologies from multiple disciplines, such as …
systems by integrating theories and technologies from multiple disciplines, such as …
CNN trained speaker recognition system in electric vehicles
P Budiga, B Bhavana, G Gunisetty… - … in Electric Vehicles …, 2022 - ieeexplore.ieee.org
Speaker recognition is the technique of determining a person's identity based on their voice
features. Speaker recognition modules are now included in several commercial products …
features. Speaker recognition modules are now included in several commercial products …
Empirical mode decomposition for analysis and filtering of speech signals
Speech signals typically have a stationary interval of 20–30 ms. Due to this, most speech
processing techniques split speech signals into segments shorter than the stationary interval …
processing techniques split speech signals into segments shorter than the stationary interval …
Intelligent Deep Learning and Softmax Routing for Energy-Efficient Wireless Sensor Networks in Public Space Design
M Chang - Scalable Computing: Practice and Experience, 2023 - scpe.org
The increasing usage of several nodes to transfer the massive volume of data to the remotes
in wireless sensor networks is a challenging task to reduce the loss. The high volumes of …
in wireless sensor networks is a challenging task to reduce the loss. The high volumes of …
Color Halftoning and Acoustic Anomaly Detection for Printing Systems
CN Chen - 2020 - search.proquest.com
COLOR HALFTONING AND ACOUSTIC ANOMALY DETECTION FOR PRINTING SYSTEMS A
Dissertation Submitted to the Faculty of Purdue Universit Page 1 COLOR HALFTONING AND …
Dissertation Submitted to the Faculty of Purdue Universit Page 1 COLOR HALFTONING AND …
[معلومات الإصدار][C] Heart Rate Measurement from Videos using Feed Forward Back Propagation Neural Network with Artificial Bee Colony Optimization
G Kaur - 2022 - Auckland University of Technology