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.
Filters
Soft Computing Techniques for Dependable Cyber-Physical Systems
[article]
2020
arXiv
pre-print
Preserved Fulltext
Other Versions
computation, probabilistic reasoning and rough sets. ...
In this regard, soft computing is an emerging paradigm that can help to overcome the vulnerabilities, and unreliability of CPS by using techniques including fuzzy systems, neural network, evolutionary ...
Artificial Neural Networks Based on their biological counterparts, Artificial Neural Networks (ANN) are massively parallel distributed systems for processing information. ...
arXiv:1801.10472v2
fatcat:2gsfqsmwgzevrchlpifxqmlyri
2020 Index IEEE Transactions on Signal Processing Vol. 68
2020
IEEE Transactions on Signal Processing
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.
., One-Step Prediction for Discrete Time-Varying Nonlinear Systems With Unknown Inputs and Correlated Noises; TSP ...
., +, TSP 2020 2670-2681 Group Sparsity Based Localization for Far-Field and Near-Field Sources Based on Distributed Sensor Array Networks. ...
., +, TSP 2020 3090-3102 Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression. ...
doi:10.1109/tsp.2021.3055469
fatcat:6uswtuxm5ba6zahdwh5atxhcsy
The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey
2021
American Journal of Artificial Intelligence
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.
AI techniques such as, knowledge based systems, expert systems, artificial neural networks, genetic algorithms, fuzzy logic, casebased reasoning and any combination of these techniques (hybrid systems) ...
, machine learning, biomimicry such as swarm intelligence and distributed intelligence. are widely used by multi-disciplinarians to solve a whole range of hitherto intractable problems associated with ...
Wireless Sensor Network (WSN) is a network based on multiple lowcost, low-energy sensor nodes connected to physical signals. ...
doi:10.11648/j.ajai.20210501.12
fatcat:gvplqmpqubdw3pquik5eavux5u
Table of Contents
2020
IEEE Transactions on Signal Processing
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.
Ang 3400 Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression . ...
Mitra 3209 Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy .. . . . . . . . . . H. Fu, Y. Chi, and Y. ...
doi:10.1109/tsp.2020.3042287
fatcat:nh7viihaozhd7li3txtadnx5ui
The ISTI Rapid Response on Exploring Cloud Computing 2018
[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.
These demonstrations ranged from deploying proprietary software in a cloud environment to leveraging established cloud-based analytics workflows for processing scientific datasets. ...
However, training a complex deep neural network on a large dataset can take a significant amount of time. Therefore, accelerated training of neural network models is very important. ...
Solution Approach We concentrated on the Amazon SageMaker machine learning platform for RF modulation classification based on a convolutional neural network (CNN). ...
arXiv:1901.01331v1
fatcat:cdkmje2agzfsdpyulbp4cxz22q
Machine Learning of Spatial Data
2021
ISPRS International Journal of Geo-Information
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.
Figure 12 . 12 Model complexity and regularization. (a) Overfitting: small lambda value. (b) Well-fitted: lambda value is tuned. (c) Underfitting: large lambda value. ...
Deep neural networks based on a combination of LSTM and CNNs introduce simultaneous learning across space, time, scales, and hierarchies. ...
doi:10.3390/ijgi10090600
fatcat:fqvu4og76newree6pakfqgdbia
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap
[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.
In the paper, our focus is on design and deployment innovations that are broadly applicable across a range of CPS application areas. ...
denial-of-service) attacks or other cybersecurity nightmares, so called "black swan" events, disabling critical services of the municipal electrical grids and other connected infrastructures, data breaches, and network ...
Multi-hop dependency: Cascading failures can spread beyond one-hop dependencies as well. ...
arXiv:2001.00090v1
fatcat:zaybw5wyfbayhcu34q2douctme
Conference Guide [Front matter]
2020
2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)
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.
Based on the barycentric coordinates of the tetrahedron, the expansion of the sensor network is realized through the multi-hop of the UWB sensor. ...
TuCT4 Room 4 This paper proposes a multi-hop distributed sensor network localization method based on UWB ranging measurements. ...
In this paper we investigate the resilient consensus problem for multi-agent systems under the specific attack scenarios where the attacker can eavesdrop on initial information of agents among the system ...
doi:10.1109/icarcv50220.2020.9305477
fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi
A Manifesto for Future Generation Cloud Computing
2018
ACM Computing Surveys
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.
ACKNOWLEDGMENTS We thank anonymous reviewers, Sartaj Sahni (Editor-in-Chief) and Antonio Corradi (Associate Editor) for their constructive suggestions and guidance on improving the content and quality ...
on their cost-awareness and the constraint requirements of tasks; 5) multi-Cloud load balancers, to spread the load of an application across multiple CDCs. ...
Convolutional Neural Networks (CNNs), Multi-Layer Perceptrons (MLPs), and Long Short-Term Memory (LSTMs)-data stream analytics, and image and video pattern recognition. ...
doi:10.1145/3241737
fatcat:bgb4qjtm5zgcbbtyy6x6anfeju
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade
[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.
Other Versions
Now, it has emerged as the backbone of modern economy by offering subscription-based services anytime, anywhere following a pay-as-you-go model. ...
The recent technological developments and paradigms such as serverless computing, software-defined networking, Internet of Things, and processing at network edge are creating new opportunities for Cloud ...
Acknowledgement We thank anonymous reviewers, Sartaj Sahni (Editor-in-Chief) and Antonio Corradi (Associate Editor) for their constructive suggestions and guidance on improving the content and quality ...
arXiv:1711.09123v2
fatcat:xu3u75e6ind23ite3l6zfqi6hq
Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2015 Budget Estimates
2014
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.
DARPA seeks to improve the analysis of large neural data sets by creating interfaces that will allow researchers to generate new models across multiple scales. ...
warriors with post-traumatic brain injury, stress, or loss of memory (i.e. the Restoring Active Memory (RAM) funding opportunity), as well as new neurotechnology-based capabilities (e.g. the Systems-Based ...
AWARE aggregated the following programs: Lambda Scale, Broadband, Multi-Band and Wide Field of View. ...
doi:10.5281/zenodo.1215345
fatcat:fjzhmynqjbaafk67q2ckcblj2m
Drone Deep Reinforcement Learning: A Review
2021
Electronics
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.
In this paper, we described the state of the art of one subset of these algorithms: the deep reinforcement learning (DRL) techniques. ...
Tai and Liu's studies first developed a model-free Deep Reinforcement Learning (DRL) algorithm based on a convolutional neural network [62] . ...
There are two branches of RL algorithms: model-based and model-free; model-based RL algorithms try to choose the optimal policy based on the learned model of the environment, while in model-free algorithms ...
doi:10.3390/electronics10090999
doaj:57ededb7d1a0445eaf34975cb6625c1f
fatcat:kya3fbblszd27i4exlybnji4ni
Toward a generalized theory comprising digital, neuromorphic, and unconventional computing
2021
Neuromorphic Computing and Engineering
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 2022; you can also visit the original URL.
The file type is application/pdf.
The main contribution of this paper is an in-depth inspection of existing formal conceptualizations of 'computing' in discrete-symbolic, probabilistic and dynamical-systems oriented views. ...
It is fully understood how this translates into transistor-and-wire based digital hardware architectures, and the corresponding microchip design and manufacturing technologies have reached astounding degrees ...
lambda operator in lambda calculus, or by constructing parse trees in grammar-based formalisms. ...
doi:10.1088/2634-4386/abf151
fatcat:w5p4uup3r5avxiqh2tecyeti6i
Edge-Oriented Computing: A Survey on Research and Use Cases
2022
Energies
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 2022; you can also visit the original URL.
The file type is application/pdf.
networks. ...
the century of data due to the rapid increase in the quantity of exchanged data worldwide (especially in smart city applications such as autonomous vehicles), collecting and processing such data from sensors ...
on big data and multi-sensor platforms-for further detail in this respect, the interested reader is referred to the solution proposed in [43] . ...
doi:10.3390/en15020452
fatcat:eyz6iiselbar5cokm22eldpxam
Many-Objective Optimization of a Hybrid Car Controller
[chapter]
2015
Lecture Notes in Computer 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 2017; you can also visit the original URL.
The file type is application/pdf.
In the multi-noisy-objective optimization problem of the SAW filter, the worst-case performance of a solution is considered based on the upper bounds of respective noisy-objective functions predicted statistically ...
Multimemetic Algorithms in Dynamic Scale-Free Networks Rafael Nogueras, Carlos Cotta We study the behavior and performance of island-based multimemetic algorithms, ...
The approach substitutes analytical sensitivity information by an update signal represented by a neural network approximation model. ...
doi:10.1007/978-3-319-16549-3_48
fatcat:yvlv6xnggnf3jn7vdnnwih6chy
« Previous
Showing results 1 — 15 out of 174 results