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 …

An efficient context-aware vehicle incidents route service management for intelligent transport system

S Chavhan, D Gupta, C Nagaraju… - IEEE Systems …, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] Ensemble-based hybrid context-aware misbehavior detection model for vehicular ad hoc network

FA Ghaleb, MA Maarof, A Zainal, BAS Al-rimy… - Remote Sensing, 2019 - mdpi.com
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 …

[HTML][HTML] A hybrid FPGA-based system for EEG-and EMG-based online movement prediction

H Wöhrle, M Tabie, SK Kim, F Kirchner, EA Kirchner - Sensors, 2017 - mdpi.com
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 …

[HTML][HTML] An intelligent man-machine interface—multi-robot control adapted for task engagement based on single-trial detectability of p300

EA Kirchner, SK Kim, M Tabie, H Wöhrle… - Frontiers in human …, 2016 - frontiersin.org
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 …

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 …

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 …

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 …

Backtransformation: a new representation of data processing chains with a scalar decision function

MM Krell, S Straube - Advances in Data Analysis and Classification, 2017 - Springer
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 …

[PDF][PDF] Generalizing, optimizing, and decoding support vector machine classification

MM Krell, S Straube, H Wöhrle… - ECML/PKDD …, 2014 - phdsession-ecmlpkdd2014.greyc.fr
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 …