Spatial segmentation of mass spectrometry imaging data by combining multivariate clustering and univariate thresholding

H Hu, R Yin, HM Brown, J Laskin - Analytical chemistry, 2021 - ACS Publications
Spatial segmentation partitions mass spectrometry imaging (MSI) data into distinct regions,
providing a concise visualization of the vast amount of data and identifying regions of …

Fault detection and diagnosis for industrial processes based on clustering and autoencoders: a case of gas turbines

JM Barrera, A Reina, A Mate, JC Trujillo - International Journal of Machine …, 2022 - Springer
Industrial machinery maintenance constitutes an important part of the manufacturing
company's budget. Fault Detection and Diagnosis (henceforth referenced as FDD) plays a …

Personalized voice activated gras** system for a robotic exoskeleton glove

Y Guo, W Xu, S Pradhan, C Bravo, P Ben-Tzvi - Mechatronics, 2022 - Elsevier
This paper proposes a novel human machine interface (HMI) and electronics system design
to control a rehabilitation robotic exoskeleton glove. Such system can be activated with the …

Enhancing trabecular CT scans based on deep learning with multi-strategy fusion

P Ge, S Li, Y Liang, S Zhang, L Zhang, Y Hu… - … Medical Imaging and …, 2024 - Elsevier
Trabecular bone analysis plays a crucial role in understanding bone health and disease,
with applications like osteoporosis diagnosis. This paper presents a comprehensive study …

Evolving intelligent system for trajectory tracking of unmanned aerial vehicles

R Singh, B Bhushan - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
This article develops an evolving type-2 quantum fuzzy neural network (eT2QFNN) control
scheme for achieving trajectory tracking with unmanned aerial vehicles (UAVs). The …

Influence of multi-walled carbon nanotubes on the fracture response and phase distribution of metakaolin-based potassium geopolymers

J Chen, AT Akono - Journal of Materials Science, 2021 - Springer
This research investigated the effects of multi-walled carbon nanotubes (MWCNTs) on the
chemistry, microstructure, phase distribution, and fracture response of potassium-based …

Estimating power consumption of servers using gaussian mixture model

H Zhu, H Dai, S Yang, Y Yan… - 2017 fifth international …, 2017 - ieeexplore.ieee.org
In a power-aware scheduling system, power models are leveraged as the basis of
estimating the effect of scheduling tasks. Previous studies showed that power consumption …

Interaction-aware cut-in behavior prediction and risk assessment for autonomous driving

J Zhang, G Li, Z Deng, H Yu, JP Huissoon, D Cao - IFAC-PapersOnLine, 2020 - Elsevier
Cut-in behavior commonly occurs in both urban and highway driving. Rear-end collisions
happen when the lag vehicles cannot predict this abnormal lane change behavior of the …

Integrated and configurable voice activation and speaker verification system for a robotic exoskeleton glove

Y Guo, W Xu, S Pradhan… - … and Information in …, 2020 - asmedigitalcollection.asme.org
Efficient human-machine interface (HMI) for exoskeletons remains an active research topic,
where sample methods have been proposed including using computer vision, EEG …

Beyond traditional methods: Innovative integration of LISS IV and Sentinel 2A imagery for unparalleled insight into Himalayan ibex habitat suitability

R Dutta, LK Sharma, BD Joshi, V Kumar, A Sharief… - PloS one, 2024 - journals.plos.org
The utilization of satellite images in conservation research is becoming more prevalent due
to advancements in remote sensing technologies. To achieve accurate classification of …