Real-time intended knee joint motion prediction by deep-recurrent neural networks
Y Huang, Z He, Y Liu, R Yang, X Zhang… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Human-assisting intelligent systems demand certain methods to precisely predict motorized
limb joint angles. This paper presents the application of deep-recurrent neural networks …
limb joint angles. This paper presents the application of deep-recurrent neural networks …
An efficient context-aware vehicle incidents route service management for intelligent transport system
The continuous urbanization with extensive dynamic situations on evolving cities, urban,
and suburban areas, it is not feasible to categorize the navigation as fastest route, toll-free …
and suburban areas, it is not feasible to categorize the navigation as fastest route, toll-free …
[HTML][HTML] Ensemble-based hybrid context-aware misbehavior detection model for vehicular ad hoc network
Life-saving decisions in vehicular ad hoc networks (VANETs) depend on the availability of
highly accurate, up-to-date, and reliable data exchanged by neighboring vehicles. However …
highly accurate, up-to-date, and reliable data exchanged by neighboring vehicles. However …
[HTML][HTML] A hybrid FPGA-based system for EEG-and EMG-based online movement prediction
A current trend in the development of assistive devices for rehabilitation, for example
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …
[HTML][HTML] An intelligent man-machine interface—multi-robot control adapted for task engagement based on single-trial detectability of p300
Advanced man-machine interfaces (MMIs) are being developed for teleoperating robots at
remote and hardly accessible places. Such MMIs make use of a virtual environment and can …
remote and hardly accessible places. Such MMIs make use of a virtual environment and can …
Classifier transfer with data selection strategies for online support vector machine classification with class imbalance
MM Krell, N Wilshusen, A Seeland… - Journal of neural …, 2017 - iopscience.iop.org
Objective. Classifier transfers usually come with dataset shifts. To overcome dataset shifts in
practical applications, we consider the limitations in computational resources in this paper …
practical applications, we consider the limitations in computational resources in this paper …
Sampling Time Modulation of a Photovoltaic Power Tracking Controller Based Upon Real-Time Monitoring of Converter Dynamics
VK Kolakaluri, MN Aalam… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The maximum power point tracking (MPPT) or flexible power point tracking (FPPT) of a
photovoltaic (PV) array is typically performed by using a discrete-time control system. The …
photovoltaic (PV) array is typically performed by using a discrete-time control system. The …
Generalizing, decoding, and optimizing support vector machine classification
MM Krell - arXiv preprint arXiv:1801.04929, 2018 - arxiv.org
The classification of complex data usually requires the composition of processing steps.
Here, a major challenge is the selection of optimal algorithms for preprocessing and …
Here, a major challenge is the selection of optimal algorithms for preprocessing and …
Backtransformation: a new representation of data processing chains with a scalar decision function
Data processing often transforms a complex signal using a set of different preprocessing
algorithms to a single value as the outcome of a final decision function. Still, it is challenging …
algorithms to a single value as the outcome of a final decision function. Still, it is challenging …
[PDF][PDF] Generalizing, optimizing, and decoding support vector machine classification
A major challenge in the classification of complex data, that requires the combination of
several processing steps, is the selection of the optimal algorithms for preprocessing and …
several processing steps, is the selection of the optimal algorithms for preprocessing and …