A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
Filters
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining
[chapter]
2009
Lecture Notes in Computer Science
Preserved Fulltext
This paper presents a novel and notable swarm approach to evolve an optimal set of weights and architecture of a neural network for classification in data mining. ...
The computation time of their proposed work is quite high due to the partial training. Carvalho et al. ...
Further, as they are using PT algorithm for training so their method introduces overhead in computational time. ...
doi:10.1007/978-3-642-02490-0_136
fatcat:267lhvet2rfhjd45lauz6tygzq
A Novel Evolutionary Algorithm for Hierarchical Neural Architecture Search
[article]
2021
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 2021; you can also visit the original URL.
The file type is application/pdf.
First, we apply it to the image recognition dataset, Fashion-MNIST, where the algorithm is able to generate a network with 93.2% accuracy. ...
While the approach still suffers from some common problems present in most evolutionary algorithms, mainly the large amounts of time required to train and evaluate candidate networks such negative effects ...
During the first step of network generation, N neural modules are sampled from the notable modules list, utilizing their average fitness as weights. ...
arXiv:2107.08484v1
fatcat:l6ph4xsmozegrgyj3chdhzqi7i
A suspect-oriented intelligent and automated computer forensic analysis
2016
Digital Investigation. The International Journal of Digital Forensics and Incident Response
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.
Computer forensics faces a range of challenges due to the widespread use of computing technologies. ...
A total of 275 sets of experiments were conducted to determine the viability of clustering across a range of network configurations. ...
Notably, as the SOM network size increases, both the identification rate of notable files and the volume of noise files decreases. ...
doi:10.1016/j.diin.2016.08.001
fatcat:waq3ky7l3zfhvnawjdz4pves4i
Soft computing approaches for next-generation sustainable systems (SCNGS)
2019
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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.
Notably, researcher uses the soft computing approaches in data mining, machine learning, sustainable computing, capsule networks, neural networks and fuzzy linear systems to provide the intelligent solutions ...
The most integration models of soft computing techniques are fuzzy logic, deep learning, evolutionary computation, optimization algorithm, metaheuristics, Bayesian networks, expert systems, perceptron, ...
Notably, researcher uses the soft computing approaches in data mining, machine learning, sustainable computing, capsule networks, neural networks and fuzzy linear systems to provide the intelligent solutions ...
doi:10.1007/s00500-019-03860-4
fatcat:ihnpmw2vunhmnk3ht3wh2zlrwi
From Bitcoin to Bitcoin Cash
2018
Proceedings of the 1st Workshop on Cryptocurrencies and Blockchains for Distributed Systems - CryBlock'18
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.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2018 pre-print arXiv:1804.02350v1 fatcat:k2nskaqh6fhofcfnewhihv46ueOther Versions
Notably, we analyze their global structure and we try to evaluate if they are provided with a small-world behavior. ...
In this work, we perform a preliminary investigation on two kinds of network, i.e. the Bitcoin network and the Bitcoin Cash network. ...
Notably, they have been computed after a binning process, considering 50 samples (see [14] for further details). These results indicate that both kinds of networks (i.e. ...
doi:10.1145/3211933.3211947
dblp:conf/mobisys/JavaroneW18
fatcat:33rk7ald5bftlbbedi4hfxauhe
Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems
[article]
2014
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.
systems, prominent Cloud Computing Systems (CCSs) and Vehicular Ad-hoc NETwork (VANET). ...
In this paper, we propose a design for novel and experimental cloud computing systems. ...
The cloud computing was initially employed through wire-based network for internet and it has been progressively extended to the mobile network (e.g., through cellular networks). ...
arXiv:1412.6149v1
fatcat:2q3a34hnjba2pllot5da4lu7xi
Page 160 of American Society of Civil Engineers. Collected Journals Vol. 8, Issue 2
[page]
1994
American Society of Civil Engineers. Collected Journals
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
There are many enhance- ments that can be made to this approach, most notably, the maintaining of a number of networks and the crossbreeding of these networks to produce the networks in the new generation ...
Neural networks do, however, suffer from a number of shortcomings, notably, a lack of precision, limited theory to assist in their design, no guarantee of success in finding an acceptable solution, and ...
NetCmpt: a network-based tool for calculating the metabolic competition between bacterial species
2012
Computer applications in the biosciences : CABIOS
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.
Availability and implementation: NetCmpt is provided as both a web tool and a software package, designed for the use of non-computational biologists. ...
consumed substrates (computed as described above) by stepwise addition of those reactions whose substrates are produced in the current core network. ...
Notably, frequent metabolites (that is participating in more than 10 reactions) as well as water, protons and electron components are removed from the generic network (Kharchenko et al., 2005; Raymond ...
doi:10.1093/bioinformatics/bts323
pmid:22668793
fatcat:2br3t2tnircbtf2d3wjdiqsery
EdgeSegNet: A Compact Network for Semantic Segmentation
[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.
A human-machine collaborative design strategy is leveraged to create EdgeSegNet, where principled network design prototyping is coupled with machine-driven design exploration to create networks with customized ...
In this study, we introduce EdgeSegNet, a compact deep convolutional neural network for the task of semantic segmentation. ...
Despite these significant advances in deep convolutional neural networks for the task of semantic segmentation over recent years, the high architectural and computational com- plexities of such networks ...
arXiv:1905.04222v1
fatcat:q7di5csv3vdnpccig3wbvpsiaq
NetCmpt: a network-based tool for calculating the metabolic competition between bacterial species
2012
Bioinformatics
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 2013; you can also visit the original URL.
The file type is application/pdf.
Availability and implementation: NetCmpt is provided as both a web tool and a software package, designed for the use of non-computational biologists. ...
consumed substrates (computed as described above) by stepwise addition of those reactions whose substrates are produced in the current core network. ...
Notably, frequent metabolites (that is participating in more than 10 reactions) as well as water, protons and electron components are removed from the generic network (Kharchenko et al., 2005; Raymond ...
doi:10.1093/bioinformatics/bts522
fatcat:hhx6xdrie5dmnftfy2hum64zva
Understanding principles of integration and segregation using whole-brain computational connectomics: implications for neuropsychiatric disorders
2017
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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 emphasize how novel methods from network science and whole-brain computational modelling can expand beyond traditional neuroimaging paradigms and help to uncover the neurobiological determinants of ...
One contribution of 14 to a theme issue 'Mathematical methods in medicine: neuroscience, cardiology and pathology'. describe how the emerging discipline of whole-brain computational connectomics may be ...
Computational studies have notably shown that different avalanche behaviours are observed as a function of the density of long-range connections in a simulated brain network, and that power-law behaviour ...
doi:10.1098/rsta.2016.0283
pmid:28507228
pmcid:PMC5434074
fatcat:ybywypbpevey7fvbiuzuqeceju
802 Standards
2016
Computer
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.
The creation of the personal computer and the subsequent proliferation of connected machines paved the way for local and global network connectivity, the Internet, mobile computing, smartphones, and the ...
IEEE standards-notably Ethernet and Wi-Fi-form the basic plumbing of this connectivity. ...
doi:10.1109/mc.2016.7
fatcat:zcd5g23mrjb4nf4pj7e7gabzcq
Modeling Socio-Psychological Behaviors in the Era of the WWW: a Brief Overview (poster paper)
2015
International Workshop on Knowledge Discovery on the Web
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.
In this work, we briefly present some computational models that can be adopted for representing socio-psychological behaviors in this scenario. ...
Social networks like Facebook strongly speed up the spreading of information among users, and allow people to communicate simultaneously with several individuals. ...
Notably, our lives are strongly affected by social networks and all devices that are connected on Internet. ...
dblp:conf/kdweb/Javarone15
fatcat:mv56tvn2lvcybplc5stf5b7bpy
Improvement of Demand Forecasting Models with Special Days
2015
Procedia 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 2019; you can also visit the original URL.
The file type is application/pdf.
This study shows that good forecasting results can be reached by improving the data even if we do not apply complex computational intelligence techniques. ...
Although recent studies focused on new computational intelligence techniques for cash demand forecasting, this paper advocates the enhancement of the dataset to improve the prediction performance of forecasting ...
We know that these notable days have high impact on ATM operations. We worked on several models including different artificial neural network approaches, exponential smoothing, and ARIMA. ...
doi:10.1016/j.procs.2015.07.554
fatcat:a5eqpnn2u5ak5ftvlmtwdnupae
A fast-computational spiking neuron model adaptable to any cortical neuron
2009
BMC 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 2017; you can also visit the original URL.
The file type is application/pdf.
In addition, they require the high computational cost, which hinders performing the simulation of a massively interconnected network. ...
Both the high flexibility and the low computational cost would help to model the real brain faithfully and examine how network properties may be influenced by the distributed characteristics of component ...
In addition, they require the high computational cost, which hinders performing the simulation of a massively interconnected network. ...
doi:10.1186/1471-2202-10-s1-p22
fatcat:ldhz25gbg5clhm6oaftoivqmu4
« Previous
Showing results 1 — 15 out of 538,631 results