random forest cnn, rnn neural network Search Results


hybrid cnn-rnn  (SoftMax Inc)
90
SoftMax Inc hybrid cnn-rnn
Hybrid Cnn Rnn, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/hybrid+cnn+rnn/pm30808014-462-2-17
Average 90 stars, based on 1 article reviews
hybrid cnn-rnn - by Bioz Stars, 2026-10
90/100 stars
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cnn blstm-rnn using  (SoftMax Inc)
90
SoftMax Inc cnn blstm-rnn using
Cnn Blstm Rnn Using, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/cnn+blstm+rnn+using/pmc08603338-431-11-14
Average 90 stars, based on 1 article reviews
cnn blstm-rnn using - by Bioz Stars, 2026-10
90/100 stars
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cnn blstm-rnn softmax  (SoftMax Inc)
90
SoftMax Inc cnn blstm-rnn softmax
Simulations time achieved by different methods and the proposed one for training and to execution time.
Cnn Blstm Rnn Softmax, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/cnn+blstm+rnn+softmax/pmc07962529-5-0-2
Average 90 stars, based on 1 article reviews
cnn blstm-rnn softmax - by Bioz Stars, 2026-10
90/100 stars
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2d base-calling rnn  (Metrichor Ltd)
90
Metrichor Ltd 2d base-calling rnn
Simulations time achieved by different methods and the proposed one for training and to execution time.
2d Base Calling Rnn, supplied by Metrichor Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/2d+basecalling+rnn+for+sqk+nsk007/pm38668285-57-9-6
Average 90 stars, based on 1 article reviews
2d base-calling rnn - by Bioz Stars, 2026-10
90/100 stars
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rnn  (Kaggle Inc)
86
Kaggle Inc rnn
Simulations time achieved by different methods and the proposed one for training and to execution time.
Rnn, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/rnn/10__3390_slash_app14198922-530-4-5
Average 86 stars, based on 1 article reviews
rnn - by Bioz Stars, 2026-10
86/100 stars
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proposed-rnn model  (StatLog Inc)
90
StatLog Inc proposed-rnn model
Simulations time achieved by different methods and the proposed one for training and to execution time.
Proposed Rnn Model, supplied by StatLog Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/proposed+rnn+model/pmc11410983-428-1-10
Average 90 stars, based on 1 article reviews
proposed-rnn model - by Bioz Stars, 2026-10
90/100 stars
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rnn (cloud-based)  (Metrichor Ltd)
90
Metrichor Ltd rnn (cloud-based)
State-of-the-art nanopore basecalling tools
Rnn (Cloud Based), supplied by Metrichor Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/rnn++cloud+based+/pmc06781587-144-44-40
Average 90 stars, based on 1 article reviews
rnn (cloud-based) - by Bioz Stars, 2026-10
90/100 stars
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rnn  (AstraZeneca ltd)
90
AstraZeneca ltd rnn
State-of-the-art nanopore basecalling tools
Rnn, supplied by AstraZeneca ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/rnn/pm30499699-23-11-8
Average 90 stars, based on 1 article reviews
rnn - by Bioz Stars, 2026-10
90/100 stars
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rnn  (Andermatt BIOCONTROL AG)
90
Andermatt BIOCONTROL AG rnn
State-of-the-art nanopore basecalling tools
Rnn, supplied by Andermatt BIOCONTROL AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/rnn/pmc08741572-464-5-7
Average 90 stars, based on 1 article reviews
rnn - by Bioz Stars, 2026-10
90/100 stars
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1d base-calling rnn for the sqk-rad001 (v1.107) workflow  (Metrichor Ltd)
90
Metrichor Ltd 1d base-calling rnn for the sqk-rad001 (v1.107) workflow
State-of-the-art nanopore basecalling tools
1d Base Calling Rnn For The Sqk Rad001 (V1.107) Workflow, supplied by Metrichor Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/2d+basecalling+for+sqkmap007+++v1+107/pmc05538040-53-14-11
Average 90 stars, based on 1 article reviews
1d base-calling rnn for the sqk-rad001 (v1.107) workflow - by Bioz Stars, 2026-10
90/100 stars
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rnn-based auxiliary framework  (Johns Hopkins HealthCare)
90
Johns Hopkins HealthCare rnn-based auxiliary framework
State-of-the-art nanopore basecalling tools
Rnn Based Auxiliary Framework, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/rnn+based+auxiliary+framework/pm37627837-57-17-12
Average 90 stars, based on 1 article reviews
rnn-based auxiliary framework - by Bioz Stars, 2026-10
90/100 stars
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rnn with multi-dimensional gated recurrent units  (Andermatt BIOCONTROL AG)
90
Andermatt BIOCONTROL AG rnn with multi-dimensional gated recurrent units
State-of-the-art nanopore basecalling tools
Rnn With Multi Dimensional Gated Recurrent Units, supplied by Andermatt BIOCONTROL AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/random+forest+cnn%2C+rnn+neural+network/multi+dimensional+gated+recurrent+units/pmc09511994-276-4-0
Average 90 stars, based on 1 article reviews
rnn with multi-dimensional gated recurrent units - by Bioz Stars, 2026-10
90/100 stars
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Image Search Results


Simulations time achieved by different methods and the proposed one for training and to execution time.

Journal: Sensors (Basel, Switzerland)

Article Title: Q-Meter: Quality Monitoring System for Telecommunication Services Based on Sentiment Analysis Using Deep Learning

doi: 10.3390/s21051880

Figure Lengend Snippet: Simulations time achieved by different methods and the proposed one for training and to execution time.

Article Snippet: CNN BLSTM-RNN (Softmax) , 154 , 55.

Techniques:

State-of-the-art nanopore basecalling tools

Journal: Briefings in Bioinformatics

Article Title: Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

doi: 10.1093/bib/bby017

Figure Lengend Snippet: State-of-the-art nanopore basecalling tools

Article Snippet: Note that this ongoing study does not capture the accuracy and performance of the entire genome assembly pipeline using nanopore sequence data. table ft1 table-wrap mode="anchored" t5 Table 1 caption a7 Tool Strategy Multithreading support Source Reference Metrichor RNN (Cloud-based) https://metrichor.com/ [ 27 ] Nanonet RNN With -jobs parameter https://github.com/nanoporetech/nanonet [ 28 ] Scrappie RNN With export OMP_NUM_THREADS command https://github.com/nanoporetech/scrappie [ 29 ] Nanocall HMM With –threads parameter https://github.com/mateidavid/nanocall [ 30 ] DeepNano RNN No support; split data set and run it in parallel https://bitbucket.org/vboza/deepnano [ 31 ] Open in a separate window State-of-the-art nanopore basecalling tools Metrichor Metrichor [ 27 ] is ONT’s cloud-based basecaller, and its source code is not publicly available.

Techniques:

Versions, commands to execute and outputs for each analyzed tool

Journal: Briefings in Bioinformatics

Article Title: Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

doi: 10.1093/bib/bby017

Figure Lengend Snippet: Versions, commands to execute and outputs for each analyzed tool

Article Snippet: Note that this ongoing study does not capture the accuracy and performance of the entire genome assembly pipeline using nanopore sequence data. table ft1 table-wrap mode="anchored" t5 Table 1 caption a7 Tool Strategy Multithreading support Source Reference Metrichor RNN (Cloud-based) https://metrichor.com/ [ 27 ] Nanonet RNN With -jobs parameter https://github.com/nanoporetech/nanonet [ 28 ] Scrappie RNN With export OMP_NUM_THREADS command https://github.com/nanoporetech/scrappie [ 29 ] Nanocall HMM With –threads parameter https://github.com/mateidavid/nanocall [ 30 ] DeepNano RNN No support; split data set and run it in parallel https://bitbucket.org/vboza/deepnano [ 31 ] Open in a separate window State-of-the-art nanopore basecalling tools Metrichor Metrichor [ 27 ] is ONT’s cloud-based basecaller, and its source code is not publicly available.

Techniques:

Scalability results of Nanocall, Nanonet and Scrappie. Wall clock time (A, B), peak memory usage (C, D) and parallel speedup (E, F) results obtained on the desktop and big-mem systems. The left column (A, C, E) shows the results from the desktop system, and the right column (B, D, F) shows the results from the big-mem system.

Journal: Briefings in Bioinformatics

Article Title: Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

doi: 10.1093/bib/bby017

Figure Lengend Snippet: Scalability results of Nanocall, Nanonet and Scrappie. Wall clock time (A, B), peak memory usage (C, D) and parallel speedup (E, F) results obtained on the desktop and big-mem systems. The left column (A, C, E) shows the results from the desktop system, and the right column (B, D, F) shows the results from the big-mem system.

Article Snippet: Note that this ongoing study does not capture the accuracy and performance of the entire genome assembly pipeline using nanopore sequence data. table ft1 table-wrap mode="anchored" t5 Table 1 caption a7 Tool Strategy Multithreading support Source Reference Metrichor RNN (Cloud-based) https://metrichor.com/ [ 27 ] Nanonet RNN With -jobs parameter https://github.com/nanoporetech/nanonet [ 28 ] Scrappie RNN With export OMP_NUM_THREADS command https://github.com/nanoporetech/scrappie [ 29 ] Nanocall HMM With –threads parameter https://github.com/mateidavid/nanocall [ 30 ] DeepNano RNN No support; split data set and run it in parallel https://bitbucket.org/vboza/deepnano [ 31 ] Open in a separate window State-of-the-art nanopore basecalling tools Metrichor Metrichor [ 27 ] is ONT’s cloud-based basecaller, and its source code is not publicly available.

Techniques: