Arnold: An eFPGA-augmented RISC-V SoC for flexible and low-power IoT end nodes
A wide range of Internet of Things (IoT) applications require powerful, energy-efficient, and
flexible end nodes to acquire data from multiple sources, process and distill the sensed data …
flexible end nodes to acquire data from multiple sources, process and distill the sensed data …
An intelligent system for livestock disease surveillance
O Yazdanbakhsh, Y Zhou, S Dick - Information Sciences, 2017 - Elsevier
Currently, cattle in feedlots are monitored for disease through a manual, labour-intensive
process. Physical checkups are administered approximately once per week, and pen riders …
process. Physical checkups are administered approximately once per week, and pen riders …
Identification and characterization of defects in glass fiber reinforced plastic by refining the guided lamb waves
KA Tiwari, R Raisutis - Materials, 2018 - mdpi.com
In this paper, the disbond-type defect presented on glass fiber reinforced plastic material is
analyzed by refining the guided Lamb wave signals. A segment of wind turbine blade is …
analyzed by refining the guided Lamb wave signals. A segment of wind turbine blade is …
Identification of pulse-like ground motions using artificial neural network
For more than 20 years, the concept of near-fault pulse-like ground motion has been a topic
of great interest due to its distinct characteristics, particularly due to directivity or fling effects …
of great interest due to its distinct characteristics, particularly due to directivity or fling effects …
[HTML][HTML] Ultrasonic based defect detection in steel-reinforced laminated timber structural elements using Uniform Manifold Approximation and Projection (UMAP)
P Gunasekaran, MM Alamdari, HVP Goudarzi - Automation in Construction, 2024 - Elsevier
The increasing use of innovative engineered timber elements in construction necessitates a
focus on damage identification using non-destructive techniques (NDT) to allow practitioners …
focus on damage identification using non-destructive techniques (NDT) to allow practitioners …
Defect estimation in non-destructive testing of composites by ultrasonic guided waves and image processing
KA Tiwari, R Raisutis, O Tumsys, A Ostreika… - Electronics, 2019 - mdpi.com
The estimation of the size and location of defects in multi-layered composite structures by
ultrasonic non-destructive testing using guided waves has attracted the attention of …
ultrasonic non-destructive testing using guided waves has attracted the attention of …
EMG based gesture recognition using machine learning
N Anil, SH Sreeletha - 2018 Second International Conference …, 2018 - ieeexplore.ieee.org
Gesture recognition basically involves the usage of hardware equipments and software
development tools where human movements are captured and Human Computer Interaction …
development tools where human movements are captured and Human Computer Interaction …
RFI mitigation in microwave radiometry using wavelets
A Camps, JM Tarongí - Algorithms, 2009 - mdpi.com
The performance of microwave radiometers can be seriously degraded by the presence of
radio-frequency interference (RFI). Spurious signals and harmonics from lower frequency …
radio-frequency interference (RFI). Spurious signals and harmonics from lower frequency …
Hand Gesture Classification using Deep learning and CWT images based on multi-channel surface EMG signals
HEP Buelvas, JDT Montaña… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Nowadays, electromyographic signals are one of the most widely used techniques to
acquire the electrical activity produced by muscle contractions and relaxations, these signals …
acquire the electrical activity produced by muscle contractions and relaxations, these signals …
Texture analysis of multimodal magnetic resonance images in support of diagnostic classification of childhood brain tumours
S Tantisatirapong - 2015 - etheses.bham.ac.uk
Primary brain tumours are recognised as the most common form of solid tumours in children,
with pilocytic astrocytoma, medulloblastoma and ependymoma being found most frequently …
with pilocytic astrocytoma, medulloblastoma and ependymoma being found most frequently …