Spatial segmentation of mass spectrometry imaging data by combining multivariate clustering and univariate thresholding
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 …
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
Industrial machinery maintenance constitutes an important part of the manufacturing
company's budget. Fault Detection and Diagnosis (henceforth referenced as FDD) plays a …
company's budget. Fault Detection and Diagnosis (henceforth referenced as FDD) plays a …
Personalized voice activated gras** system for a robotic exoskeleton glove
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 …
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 …
with applications like osteoporosis diagnosis. This paper presents a comprehensive study …
Evolving intelligent system for trajectory tracking of unmanned aerial vehicles
This article develops an evolving type-2 quantum fuzzy neural network (eT2QFNN) control
scheme for achieving trajectory tracking with unmanned aerial vehicles (UAVs). The …
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
This research investigated the effects of multi-walled carbon nanotubes (MWCNTs) on the
chemistry, microstructure, phase distribution, and fracture response of potassium-based …
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 …
estimating the effect of scheduling tasks. Previous studies showed that power consumption …
Interaction-aware cut-in behavior prediction and risk assessment for autonomous driving
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 …
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
Efficient human-machine interface (HMI) for exoskeletons remains an active research topic,
where sample methods have been proposed including using computer vision, EEG …
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
The utilization of satellite images in conservation research is becoming more prevalent due
to advancements in remote sensing technologies. To achieve accurate classification of …
to advancements in remote sensing technologies. To achieve accurate classification of …