A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
[article]
2021
arXiv
pre-print
Preserved Fulltext
Spiking Neural Network (SNN) has been recognized as one of the next generation of neural networks. ...
We introduce SNN Calibration, a cheap but extraordinarily effective method by leveraging the knowledge within a pre-trained Artificial Neural Network (ANN). ...
Introduction Spiking neural networks (SNNs) are based on the spiking neural behavior in biological neurons (Hodgkin & Huxley, 1952; Izhikevich, 2003) . ...
arXiv:2106.06984v1
fatcat:2xn3nps3jvgwjjblgfbvekue3i
EMG-based Simultaneous and Proportional Estimation of Wrist Kinematics and its Application in Intuitive Myoelectric Control for Unilateral transradial Amputees
2011
Frontiers in Computational Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
[T 10] Inferring intrinsic saliency from free-viewing data Simon Barthelme 1* , Hans Trukenbrod 2 , Ralf Engbert 2 and Felix A. ...
Neural Networks 21, 1070-1075.
Acknowledgements We thank M. Kaczorowski for her assistance with the histological procedures. ...
We propose a new, binning-free application of the GLM framework to model neural activity by noting that spike trains can equally be characterized by the sequence of continuous-valued inter-spike intervals ...
doi:10.3389/conf.fncom.2011.53.00081
fatcat:nkq5wesfpbcjnikbxqh3v3gtqi
Deep Learning in Mobile and Wireless Networking: A Survey
2019
IEEE Communications Surveys and Tutorials
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper we bridge the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas. ...
We then discuss several techniques and platforms that facilitate the efficient deployment of deep learning onto mobile systems. ...
This opens a new research direction toward embedding machine learning towards greening cellular networks.
C. ...
doi:10.1109/comst.2019.2904897
fatcat:xmmrndjbsfdetpa5ef5e3v4xda
Deep Learning in Mobile and Wireless Networking: A Survey
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
In this paper we bridge the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas. ...
We then discuss several techniques and platforms that facilitate the efficient deployment of deep learning onto mobile systems. ...
This opens a new research direction toward embedding machine learning towards greening cellular networks.
C. ...
arXiv:1803.04311v3
fatcat:awuvyviarvbr5kd5ilqndpfsde
Program
2021
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
However, it has been heavily debated whether artificial neural networks (ANNs) or recurrent
neural networks (RNNs) are the most appropriate for sales forecasting. ...
network algorithm in a free space optical (FSO) channel. ...
doi:10.1109/icce-tw52618.2021.9602919
fatcat:aetmvxb7hfah7iuucbamos2wgu
Program
2020
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Finally, we refine more accurate tampered areas through a refined segmentation network. ...
This paper presents an end-to-end rapid prototyping methodology that performs automated and efficient mapping of desired neural networks onto FPGA. ...
A convolution neural network (CNN) was built to efficiently map the subject's emotions with the extracted features from both ECG and PPG signals. ...
doi:10.1109/icce-taiwan49838.2020.9258230
fatcat:g25vw7mzvradxna2grlzp6kgiq
A Complete Proposed Framework for Coastal Water Quality Monitoring System with Algae Predictive Model
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
through the prediction of chlorophyll-a (Chl-a) as a strong indicator of algal presence for coastal studies. ...
Among all the algorithms selected, Long Short-term Memory (LSTM) is the best fit for the prediction method and has outperformed other basic machine learning methods in accurately predicting algal growth ...
Moreover, in machine learning itself, the No Free Lunch Theorems [75] indicated that a general-purpose, common strategy is unfeasible. ...
doi:10.1109/access.2021.3102044
fatcat:c7pint6ddrdgrgijh6ie3zgara
Multi-period portfolio selection with drawdown control
2018
Annals of Operations Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
As a benchmark, also forecasts from an artificial neural network autoregression (NNAR), ARIMA and ETS model are produced. ...
In this paper a particular type of downstream data, EDI 852 product activity data, is employed in producing short-term weekly demand forecasts obtained from an ARIMAX, ETS-X, artificial neural network ...
We discuss the obtained results from the business perspective covering forecasts applications in the inventory optimization and demand planning areas. ...
doi:10.1007/s10479-018-2947-3
fatcat:haworusnrfcqvlmkmbidfwb5wu
Optical aspects of a miniature fluorescence microscope for super-sensitive biomedical detection
2020
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We present optical design and the principle demonstrator of a miniature fluorescence microscope aiming for super-sensitive detection. ...
An improved method for the optical readout of voltage indicators is presented, whereby fluorescence from the whole surface of a neuron is integrated onto a single detector, dramatically increasing the ...
JTh2A.33 Mapping neural correlates to language and biological motion in school-age children with autism using high-density diffuse optical tomography, Alexandra M. ...
doi:10.5281/zenodo.3822435
fatcat:3eoome22a5grbmarbrktphfh7a
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In the conclusion section, we provide a list of emerging research topics and strategies to be addressed in the near future. ...
The workshop was organized in the context of a new research programme at the Centre for Advanced Studies, Joint Research Centre of the European Commission, which focuses on studying the potential impact ...
Authors (editor plus authors in alphabetical order) Emilia Gómez ( The investigation of how children interact with machines is a virtually unexplored field. ...
arXiv:1806.03192v1
fatcat:jypjtwtgxbg5vbkigudnxtsp64
MyShake: Using Human-Centered Design Methods to Promote Engagement in a Smartphone-Based Global Seismic Network
2018
Frontiers in Earth Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
It is powered by the participation of users, therefore, its success as a global network and its utility for the users themselves is reliant on their engagement and continued involvement. ...
resource to a wider range of users in earthquake-prone regions. ...
An on-board patented artificial neural network (ANN) created by the researchers at the Berkeley Seismology Lab determines whether or not recorded motions are produced by an earthquake or by normal human ...
doi:10.3389/feart.2018.00237
fatcat:tl53l62wrzhk5ewudgtz4tsvam
Learning and Memory
[chapter]
1989
Learning and Memory
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Magnetic resonance image (MRI) scan of a parasagittal section from the left side of H.M.'s brain. The calibration bar on the right side of the panel has 1 cm increments. ...
As we have emphasized throughout this book, neural science and cognitive psychology have now found a common ground, and we are beginning to benefit from the increased explanatory power that results from ...
This work was supported by grants from the National Institute of Mental Health. ...
doi:10.1007/978-1-4899-6778-7_2
fatcat:x73uwhvvx5btffnrkhafwc3cna
A Note on Several Meteorological Topics Related to Polar Regions
[article]
2011
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The nature of air circulation in a polar vortex is of preliminary importance. ...
On a continental scale, the wind events in the Antarctic tend to be self-organized criticality with ergodic properties. ...
Acknowledgements I wish to thank Professor Leszek Kułak from the Department of Theoretical Physics and Quantum Informatics at the Technical University of Gdańsk, Poland for assistance with neural network ...
arXiv:1108.3781v1
fatcat:ibvnuhizvrhfjaxrxtkdoupbhm
The "Catalyst to Better Diabetes Care Act of 2007"
2008
Journal of Diabetes Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We demonstrate that beads coated with such a device can release several pulses of insulin when triggered by a small molecule drug. ...
Examples of our substantial improvements include a reduction of "outof-control" days by 60% (p < 0.001), a mean surgical intensive care unit BG reduction of 15 mg/dl (p < 0.001), and a system reduction ...
Artificial neural networks modeling and identifying patients through clinical data monitoring therefore are not necessary. ...
doi:10.1177/193229680800200201
pmid:19885363
pmcid:PMC2771484
fatcat:htkqbeadrfbfzfynzvzp2k4dyi
Cost-to-Go Function Approximation
[chapter]
2017
Encyclopedia of Machine Learning and Data Mining
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
It maintains a set, S , of most specific hypotheses that are consistent with the training data and a set, G, of most general hypotheses consistent with the training data. ...
Mitchell's, (1982; candidate-elimination algorithm performs a bidirectional search in the hypothesis space. ...
In this case, the resulting theory is interpreted as a decision list. In the following, we will assume a two-class problem with a positive and a negative class. ...
doi:10.1007/978-1-4899-7687-1_100093
fatcat:vse7ncdqs5atlosjhz7fhlj3im
« Previous
Showing results 1 — 15 out of 102 results