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ATCC n gonorrhoeae strain nctc 12700
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ATCC plate antimicrobial agent
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Lenovo Inc intel i7-12700 processor
Intel I7 12700 Processor, supplied by Lenovo Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Journal: Communications Biology

Article Title: The germline factor DDX4 contributes to the chemoresistance of small cell lung cancer cells

doi: 10.1038/s42003-023-04444-7

Figure Lengend Snippet:

Article Snippet: KIFAP3 , Rabbit , 12700-1-AP , Proteintech , 1:1000 (IB).

Techniques: Bioprocessing, Staining

Literature review of works deploying SNNs and hybrid networks on  FPGA  platforms alongside this study.

Journal: Micromachines

Article Title: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks

doi: 10.3390/mi14071353

Figure Lengend Snippet: Literature review of works deploying SNNs and hybrid networks on FPGA platforms alongside this study.

Article Snippet: An Intel i7-12700 CPU and Xilinx Kintex UltraScale FPGA (xcku115-flvf1924-2-i) were used to run the DCSNNs with input images taken from all the datasets.

Techniques: Multiplexing

 FPGA  design elements.

Journal: Micromachines

Article Title: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks

doi: 10.3390/mi14071353

Figure Lengend Snippet: FPGA design elements.

Article Snippet: An Intel i7-12700 CPU and Xilinx Kintex UltraScale FPGA (xcku115-flvf1924-2-i) were used to run the DCSNNs with input images taken from all the datasets.

Techniques:

Performance of TSSL-BP (rows 1 and 2) and SGD-BP (rows 3 and 4) on the MNIST dataset.

Journal: Micromachines

Article Title: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks

doi: 10.3390/mi14071353

Figure Lengend Snippet: Performance of TSSL-BP (rows 1 and 2) and SGD-BP (rows 3 and 4) on the MNIST dataset.

Article Snippet: An Intel i7-12700 CPU and Xilinx Kintex UltraScale FPGA (xcku115-flvf1924-2-i) were used to run the DCSNNs with input images taken from all the datasets.

Techniques:

Performance of TSSL-BP (rows 1 and 2) and SGD-BP (rows 3 and 4) on the CIFAR10 dataset.

Journal: Micromachines

Article Title: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks

doi: 10.3390/mi14071353

Figure Lengend Snippet: Performance of TSSL-BP (rows 1 and 2) and SGD-BP (rows 3 and 4) on the CIFAR10 dataset.

Article Snippet: An Intel i7-12700 CPU and Xilinx Kintex UltraScale FPGA (xcku115-flvf1924-2-i) were used to run the DCSNNs with input images taken from all the datasets.

Techniques:

Performance of TSSL-BP (rows 1 and 2) and SGD-BP (rows 3 and 4) on the KITTI dataset.

Journal: Micromachines

Article Title: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks

doi: 10.3390/mi14071353

Figure Lengend Snippet: Performance of TSSL-BP (rows 1 and 2) and SGD-BP (rows 3 and 4) on the KITTI dataset.

Article Snippet: An Intel i7-12700 CPU and Xilinx Kintex UltraScale FPGA (xcku115-flvf1924-2-i) were used to run the DCSNNs with input images taken from all the datasets.

Techniques:

Performance of TSSL-BP (rows 1 and 2) and SGD-BP (rows 3 and 4) on the INHA_ADAS dataset.

Journal: Micromachines

Article Title: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks

doi: 10.3390/mi14071353

Figure Lengend Snippet: Performance of TSSL-BP (rows 1 and 2) and SGD-BP (rows 3 and 4) on the INHA_ADAS dataset.

Article Snippet: An Intel i7-12700 CPU and Xilinx Kintex UltraScale FPGA (xcku115-flvf1924-2-i) were used to run the DCSNNs with input images taken from all the datasets.

Techniques:

Performance of TSSL-BP (rows 1 and 2) and SGD-BP (rows 3 and 4) on the INHA_KLP dataset.

Journal: Micromachines

Article Title: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks

doi: 10.3390/mi14071353

Figure Lengend Snippet: Performance of TSSL-BP (rows 1 and 2) and SGD-BP (rows 3 and 4) on the INHA_KLP dataset.

Article Snippet: An Intel i7-12700 CPU and Xilinx Kintex UltraScale FPGA (xcku115-flvf1924-2-i) were used to run the DCSNNs with input images taken from all the datasets.

Techniques:

Performance analysis of the current study alongside other works with respect to MNIST dataset.

Journal: Micromachines

Article Title: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks

doi: 10.3390/mi14071353

Figure Lengend Snippet: Performance analysis of the current study alongside other works with respect to MNIST dataset.

Article Snippet: An Intel i7-12700 CPU and Xilinx Kintex UltraScale FPGA (xcku115-flvf1924-2-i) were used to run the DCSNNs with input images taken from all the datasets.

Techniques:

Performance analysis of the current study alongside other works with respect to CIFAR10 dataset.

Journal: Micromachines

Article Title: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks

doi: 10.3390/mi14071353

Figure Lengend Snippet: Performance analysis of the current study alongside other works with respect to CIFAR10 dataset.

Article Snippet: An Intel i7-12700 CPU and Xilinx Kintex UltraScale FPGA (xcku115-flvf1924-2-i) were used to run the DCSNNs with input images taken from all the datasets.

Techniques:

Power efficiency of  FPGA   (xcku115-flvf1924-2-i)  compared to CPU (Intel i7-12700).

Journal: Micromachines

Article Title: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks

doi: 10.3390/mi14071353

Figure Lengend Snippet: Power efficiency of FPGA (xcku115-flvf1924-2-i) compared to CPU (Intel i7-12700).

Article Snippet: An Intel i7-12700 CPU and Xilinx Kintex UltraScale FPGA (xcku115-flvf1924-2-i) were used to run the DCSNNs with input images taken from all the datasets.

Techniques:

FPGA (xcku115-flvf1924-2-i) power utilization in dynamic mode (deploying DCSNNs).

Journal: Micromachines

Article Title: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks

doi: 10.3390/mi14071353

Figure Lengend Snippet: FPGA (xcku115-flvf1924-2-i) power utilization in dynamic mode (deploying DCSNNs).

Article Snippet: An Intel i7-12700 CPU and Xilinx Kintex UltraScale FPGA (xcku115-flvf1924-2-i) were used to run the DCSNNs with input images taken from all the datasets.

Techniques: