Browsing Technological University of the Shannon: Midlands Midwest by Subject "Machine learning"
Now showing items 1-11 of 11
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A comparative study of machine learning techniques for emotion recognition from peripheral physiological signals.
(IEEE, 2020-06)Recent developments in wearable technology have led to increased research interest in using peripheral physiological signals for emotion recognition. The non-invasive nature of peripheral physiological signal measurement ... -
A comparative study of machine learning techniques for emotion recognition using peripheral physiological signals
(Athlone Institute of Technology, 2020-06)Emotions in human produce physical and physiological changes. Recent developments in wearable technology have led to increased research interest in using peripheral physiological signals for emotion recognition Peripheral ... -
Convergence of machine learning and robotics communication in collaborative assembly: mobility, connectivity and future perpectives.
(Springer, 2019-10-16)Collaborative assemblies of robots are promising the next generation of robot applications by ensuring that safe and reliable robots work collectively toward a common goal. To maintain this collaboration and harmony, ... -
Data driven approach for eye disease classification with machine learning.
(MDPI, 2019-07-11)Medical health systems have been concentrating on artificial intelligence techniques for speedy diagnosis. However, the recording of health data in a standard form still requires attention so that machine learning can ... -
An ensemble machine learning method for microplastics identification with FTIR spectrum
(Elsevier, 2022-06-20)Microplastics (MPs) (size < 5 mm) marine pollution have been investigated and monitored by many researchers and found in many coasts around the world. These toxic chemicals make their way into human diet through food ... -
Fall detection system by machine learning framework for public health.
(Elsevier, 2018-11)The elderly population is growing every year in Brazil. Consequently, health risks in elderly is a concern for public health system. During the aging process, the mobility is affected, and falls are more frequent causing ... -
Machine learning for process monitoring and control of hot-melt extrusion: current state of the art and future directions
(MDPI, 2021-09-09)In the last few decades, hot-melt extrusion (HME) has emerged as a rapidly growing technology in the pharmaceutical industry, due to its various advantages over other fabrication routes for drug delivery systems. After ... -
Machine learning for smart environments in B5G networks: connectivity and QoS
(Hindawi, 2021-09-20)The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and uncertainty complicate this landscape dramatically and ... -
OPCNN-FAKE: Optimized convolutional neural network for fake news detection
(IEEE, 2021-09-14)Recently, there is a rapid and wide increase in fake news, de ned as provably incorrect information spread with the goal of fraud. The spread of this type of misinformation is a severe danger to social cohesiveness and ... -
A study of network intrusion detection systems using artificial intelligence/machine learning
(MDPI, 2022-11-18)The rapid growth of the Internet and communications has resulted in a huge increase in transmitted data. These data are coveted by attackers and they continuously create novel attacks to steal or corrupt these data. The ... -
Zero-padding and spatial augmentation-based gas sensor node optimization approach in resource-constrained 6G-IoT paradigm
(MDPI, 2022-04-15)Ultra-low-power is a key performance indicator in 6G-IoT ecosystems. Sensor nodes in this eco-system are also capable of running light-weight artificial intelligence (AI) models. In this work, we have achieved high performance ...