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Handcrafted features with convolutional neural networks for detection of tumor cells in histology images
(
IEEE Computer Society
, 2016 , Conference Paper)
Detection of tumor nuclei in cancer histology images requires sophisticated techniques due to the irregular shape, size and chromatin texture of the tumor nuclei. Some very recently proposed methods employ deep convolutional ...
Towards enhanced control of upper prosthetic limbs: A force-myographic approach
(
IEEE Computer Society
, 2016 , Conference Paper)
Reliable decoding of a user's intention is a key step to control prosthetic devices. Force myography (FMG) is often used to assess topographic force patterns resulting from volumetric changes of activated muscles. However, ...
Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
Aquatic macroinvertebrate biomonitoring is an efficient way of assessment of slow and subtle anthropogenic changes and their effect on water quality. It is imperative to have reliable identification and counts of the various ...
A grid-connected cascaded H-bridge multilevel converter with quasi seven-level Selective Harmonic Elimination
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, a high power grid-connected cascaded H-bridge multilevel inverter (CHB-MLI) operating with Selective Harmonic Elimination (SHE) is presented complying with the low switching frequency operation limitation. ...
Quasi seven-level operation of multilevel converters with selective harmonic elimination
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
Generally, selective harmonic elimination (SHE) complexity for multilevel inverters increases with the increase in number of levels. In this paper, a novel approach for SHE is introduced. This approach is based on cancelling ...
Control of doubly-fed induction machine storage system for constant charging/discharging grid power using artificial neural network
(
IET
, 2012 , Conference Paper)
A large-capacity low-speed flywheel energy storage system based on a doubly-fed induction machine (DFIM) basically consists of a wound-rotor induction machine, and a back-to-back converter for rotor excitation. It has been ...
Health monitoring and degradation prognostics in gas turbine engines using dynamic neural networks
(
American Society of Mechanical Engineers (ASME)
, 2015 , Conference Paper)
In this paper two artificially intelligent methodologies are proposed and developed for degradation prognosis and health monitoring of gas turbine engines. Our objective is to predict the degradation trends by studying ...
A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, a novel hybrid structure is proposed for the development of health monitoring techniques of nonlinear systems by integration of model-based and computationally intelligent and data-driven techniques. In our ...
Partial synchronization of biological neural networks and the anesthetic cascade
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
With the advances in biochemistry, molecular biology, and neurochemistry there has been impressive progress in understanding the molecular properties of anesthetic agents. However, there has been little focus on how the ...
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the emergence of smart cities, Internet of Things (IoT) devices as well as deep learning technologies have witnessed an increasing adoption. To support the requirements of such paradigm in terms of memory and computation, ...