The model underestimated the decreasein lysine and methionine concentrations under ozone exposure by about 10 percentage points for methionine in both cultivars.
“Experimental outcomes indicate that the proposed algorithm achieves a segmentation accuracy of 97.27%, comparable to the original LinkNet; inference time is merely 7.82 ms, a 39.89% reduction compared to the original network; a substantial decreasein model parameters and floating-point operations; and a significantly faster inference speed of the improved network compared to FCN, U-Net, DeepLabV3+, and similar netwo…” Show full quote
“Experimental outcomes indicate that the proposed algorithm achieves a segmentation accuracy of 97.27%, comparable to the original LinkNet; inference time is merely 7.82 ms, a 39.89% reduction compared to the original network; a substantial decreasein model parameters and floating-point operations; and a significantly faster inference speed of the improved network compared to FCN, U-Net, DeepLabV3+, and similar netwo…” Show full quote
“Experimental outcomes indicate that the proposed algorithm achieves a segmentation accuracy of 97.27%, comparable to the original LinkNet; inference time is merely 7.82 ms, a 39.89% reduction compared to the original network; a substantial decreasein model parameters and floating-point operations; and a significantly faster inference speed of the improved network compared to FCN, U-Net, DeepLabV3+, and similar netwo…” Show full quote
“decreased variability of PHI within a crop would result from selection to: ( a ) increase the SWT-axis intercept of the PAM; ( b ) increase the slope of the PAM”
“decreased variability of PHI within a crop would result from selection to: ( a ) increase the SWT-axis intercept of the PAM; ( b ) increase the slope of the PAM; ( c ) optimize the ellipse location”
“The application of HapSolo improved HiC scaffolding, resulting in a decreasein the total number of contigs, higher scaffold N50’s and more continuous genome assemblies.”
“The application of HapSolo improved HiC scaffolding, resulting in a decreasein the total number of contigs, higher scaffold N50’s and more continuous genome assemblies.”
“The application of HapSolo improved HiC scaffolding, resulting in a decreasein the total number of contigs, higher scaffold N50’s and more continuous genome assemblies.”
“Experimental results indicate that the improved model surpasses the YOLOv8n model, achieving a 2.7% increase in average accuracy, a 24.3% reduction in parameters, a 28.0% decreasein computational volume, and an 8.5% improvement ininference speed.”
“Experimental results indicate that the improved model surpasses the YOLOv8n model, achieving a 2.7% increase in average accuracy, a 24.3% reduction in parameters, a 28.0% decreasein computational volume, and an 8.5% improvement ininference speed.”
“Experimental results indicate that the improved model surpasses the YOLOv8n model, achieving a 2.7% increase in average accuracy, a 24.3% reduction in parameters, a 28.0% decreasein computational volume, and an 8.5% improvement ininference speed.”
In silico design of sgRNA for CRISPR/Cas9-mediated FaRALF33 gene mutagenesis to decrease the infection process to Colletotrichum acutatum in strawberry4
Angel David Hernández-Amasifuen; Mao Yupanqui-Celestino; Alexandra Jherina Pineda-Lázaro; et al. Journal of Applied Biology & Biotechnology2024. doi:10.7324/jabb.2024.172044
Angel David Hernández-Amasifuen; Mao Yupanqui-Celestino; Alexandra Jherina Pineda-Lázaro; et al. Journal of Applied Biology & Biotechnology2024. doi:10.7324/jabb.2024.172044
Angel David Hernández-Amasifuen; Mao Yupanqui-Celestino; Alexandra Jherina Pineda-Lázaro; et al. Journal of Applied Biology & Biotechnology2024. doi:10.7324/jabb.2024.172044
“We experimentally validate the ability of the method to characterize the vitality of a fig leaf in real time by observing the continuous decreasein sap circulation, first in the smaller vessels and then in the larger ones, following the cutting of the leaf over a 48 h period.”
“the acquisition frequency of dynamic speckle can be linked to the microcirculation speed inside the leaf.”
t0
“Leaf”
e1
“We experimentally validate the ability of the method to characterize the vitality of a fig leaf in real time by observing the continuous decreasein sap circulation, first in the smaller vessels and then in the larger ones, following the cutting of the leaf over a 48 h period.”
“the frame acquisition rate emerges as the key parameter for generating activity index maps.”
t0
“Leaf”
e1
“We experimentally validate the ability of the method to characterize the vitality of a fig leaf in real time by observing the continuous decreasein sap circulation, first in the smaller vessels and then in the larger ones, following the cutting of the leaf over a 48 h period.”
“The improved YOLOv5n model exhibits a 56.8% reduction in parameters, a 56.1% decreasein giga floating point operations per second (GFLOPs), a 51.4% reduction in model size, and a 37.0% reduction in Embedded Device Inference Time compared to the YOLOv5n model”
“The improved YOLOv5n model exhibits a 56.8% reduction in parameters, a 56.1% decreasein giga floating point operations per second (GFLOPs), a 51.4% reduction in model size, and a 37.0% reduction in Embedded Device Inference Time compared to the YOLOv5n model”
“The improved YOLOv5n model exhibits a 56.8% reduction in parameters, a 56.1% decreasein giga floating point operations per second (GFLOPs), a 51.4% reduction in model size, and a 37.0% reduction in Embedded Device Inference Time compared to the YOLOv5n model”
“At INT8 precision, latency is reduced to 11.8 ms, with real-time detection speed increasing to 41.3 FPS, while GPU usage and power consumption are significantly reduced with only a slight decreasein detection accuracy.”
t0
“YOLO-PLNet: a lightweight real-time detection model for peanut leaf diseases based on edge deployment”
“At INT8 precision, latency is reduced to 11.8 ms, with real-time detection speed increasing to 41.3 FPS, while GPU usage and power consumption are significantly reduced with only a slight decreasein detection accuracy.”
t0
“YOLO-PLNet: a lightweight real-time detection model for peanut leaf diseases based on edge deployment”
“At INT8 precision, latency is reduced to 11.8 ms, with real-time detection speed increasing to 41.3 FPS, while GPU usage and power consumption are significantly reduced with only a slight decreasein detection accuracy.”
t0
“YOLO-PLNet: a lightweight real-time detection model for peanut leaf diseases based on edge deployment”
Lexical search (BM25). All words must match; if nothing does, any word. Organism names also match every spelling of the same organism. No semantic search yet.
Zea mays
Persea americana
Malus domestica_single2.jpg?width=60){kind=small}
Fragaria
Arachis hypogaea