Results 41 to 50 of about 92,621 (309)

Enhanced Dynamic Regulation in Buck Converters: Integrating Input-Voltage Feedforward With Voltage-Mode Feedback

open access: yesIEEE Access
DC-DC buck converters in automotive and aerospace applications are often required to handle large disturbances in their input supply and abrupt variations in their loads. This paper proposes a systematic method to combine input-voltage feedforward (IVFF)
Mostafa Amer   +7 more
doaj   +1 more source

Microsatellite Uncertainty Control Using Deterministic Artificial Intelligence

open access: yesSensors, 2022
This manuscript explores the applications of deterministic artificial intelligence (DAI) in a space environment in response to unknown sensor noise and sudden changes in craft physical parameters.
Evan Wilt, Timothy Sands
doaj   +1 more source

bertravacca/implicit-lifted_Nets-synthetic-simulation-for-feedforward-nn: Fenchel Young Neural Network on Synthetic Data

open access: yes, 2019
<p>We make our code and simulations available for the 'Synthetic feedforward neural network' section from our article 'Implicit Lifted Nets'</p ...
Bertrand Travacca
core   +1 more source

Development of a Blended Learning Environment to Support Achievement of Graduate Outcomes through Optimal Learning in an Undergraduate Pharmacy Course

open access: yesPharmacy, 2013
The development of graduate attributes through health professional courses requires the opportunity to engage with learning and teaching activities that reflect the work-based role to which the student aspires. Such activities allow the contextualisation
Alyson Brown, Helen Vosper
doaj   +1 more source

Feedforward

open access: yes, 2020
This is an improvised, from-scratch live coding performance. The NIME interface which this performance showcases is the new Feedfoward editor for the TidalCycles live coding environment. Feedforward is written in Haskell using the ncurses library for terminal-based user interfaces.
openaire   +2 more sources

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Development of underground coal mine drainage monitoring system based on DSP

open access: yesThe Journal of Engineering, 2020
Aiming at solving problems such as non-linear, time-varying parameters, and weak digital computing capability in the underground drainage system, the monitoring system is built based on a digital signal processor (DSP).
Xiaojuan Shi, Biao Qi, Xiude Zhang
doaj   +1 more source

THE OPTIMAL PERFORMANCE OF MULTI-LAYER NEURAL NETWORK FOR SPEAKER-INDEPENDENT ISOLATED SPOKEN MALAY PARLIAMENTARY SPEECH [PDF]

open access: yesMalaysian Journal of Computing, 2010
This paper describes speech recognizer modeling techniques which are suited to high performance and robust isolated word recognition in speaker-independent manner.
Noraini Seman   +6 more
doaj   +1 more source

Cognitive Feedforward and Feedback as Substitutes for Conscientiousness [PDF]

open access: yes, 2017
In this study, we explore the impact of feedback, feedforward, and personality on computer-mediated behavior change. We studied the impacts of the effects using subjects who entered information relevant to their diet and exercise into a database through ...
McCreless, Tamuchin   +8 more
core   +1 more source

Blending With Insulating Polymers Enables Stable Anti‐Ambipolar Characteristics in n‐Type Organic Mixed‐Conductors for Heterogeneous Spiking Neurons

open access: yesAdvanced Materials, EarlyView.
A polymer blend of n‐type OMIEC P(gNDI‐gT2) with insulating PMMA yields mechanically stabilized, anti‐ambipolar organic electrochemical transistors (OECTs) with tunable ionic‐electronic transport. This blending allows low‐power, fast‐spiking heterogeneous Hodgkin–Huxley neurons, enabling biomimetic frequency deconvolution and reservoir computing, which
Zachary Laswick   +12 more
wiley   +1 more source

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