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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1968 1
1969 1
1970 1
1973 1
1975 2
1978 3
1979 3
1981 2
1982 2
1983 1
1989 1
1990 2
1992 2
1993 2
1998 1
2002 2
2014 1
2017 2
2018 1
2019 2
2020 6
2021 7
2022 7
2023 11
2024 3

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62 results

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Page 1
Evolving Treatment Approaches to Mucosal Melanoma.
Zhang S, Zhang J, Guo J, Si L, Bai X. Zhang S, et al. Curr Oncol Rep. 2022 Oct;24(10):1261-1271. doi: 10.1007/s11912-022-01225-z. Epub 2022 May 5. Curr Oncol Rep. 2022. PMID: 35511393 Review.
Deep-learning-based gestational sac detection in ultrasound images using modified YOLOv7-E6E model.
Kim TK, Kim JS, Cho HC. Kim TK, et al. J Anim Sci Technol. 2023 May;65(3):627-637. doi: 10.5187/jast.2023.e43. Epub 2023 May 31. J Anim Sci Technol. 2023. PMID: 37332278 Free PMC article.
The system used the YOLOv7-E6E model, changing the activation function from sigmoid-weighted linear unit (SiLU) to a multi-activation function (SiLU + Mish). Also, the upsampling method was modified from nearest to bicubic to improve performance. ...
The system used the YOLOv7-E6E model, changing the activation function from sigmoid-weighted linear unit (SiLU) to a multi-activation …
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.
Elfwing S, Uchibe E, Doya K. Elfwing S, et al. Neural Netw. 2018 Nov;107:3-11. doi: 10.1016/j.neunet.2017.12.012. Epub 2018 Jan 11. Neural Netw. 2018. PMID: 29395652 Free article.
First, we propose two activation functions for neural network function approximation in reinforcement learning: the sigmoid-weighted linear unit (SiLU) and its derivative function (dSiLU). The activation of the SiLU is computed by the sigmoid function multiplied by …
First, we propose two activation functions for neural network function approximation in reinforcement learning: the sigmoid-weighted linear …
Voltage Rollercoaster Filtering of Low-Mass Contaminants During Native Protein Analysis.
McGee JP, Melani RD, Goodwin M, McAlister G, Huguet R, Senko MW, Compton PD, Kelleher NL. McGee JP, et al. J Am Soc Mass Spectrom. 2020 Mar 4;31(3):763-767. doi: 10.1021/jasms.9b00037. Epub 2020 Feb 24. J Am Soc Mass Spectrom. 2020. PMID: 32126774 Free PMC article.
Using this method, we show complete filtration of 2 mM polyethylene glycol (PEG-1000) during native MS of SILu mAb antibody present at a 200 lower concentration. We also show the generality of the process by rescuing 10 muM tetrameric pyruvate kinase from 2 mM PEG-1000, as …
Using this method, we show complete filtration of 2 mM polyethylene glycol (PEG-1000) during native MS of SILu mAb antibody present a …
YOLO-P: An efficient method for pear fast detection in complex orchard picking environment.
Sun H, Wang B, Xue J. Sun H, et al. Front Plant Sci. 2023 Jan 4;13:1089454. doi: 10.3389/fpls.2022.1089454. eCollection 2022. Front Plant Sci. 2023. PMID: 36684785 Free PMC article.
METHODS: Here, an effective mode based on YOLOv5, namely YOLO-P, was proposed to detect pears quickly and accurately. Shuffle block was used to replace the Conv, Batch Norm, SiLU (CBS) structure of the second and third stages in the YOLOv5 backbone, while the inverted shuf …
METHODS: Here, an effective mode based on YOLOv5, namely YOLO-P, was proposed to detect pears quickly and accurately. Shuffle block was used …
PMotion: an advanced markerless pose estimation approach based on novel deep learning framework used to reveal neurobehavior.
Lv X, Liu H, Chen L, Dai C, Wei P, Hao J, Zhao G. Lv X, et al. J Neural Eng. 2023 Jul 6;20(4). doi: 10.1088/1741-2552/acd603. J Neural Eng. 2023. PMID: 37192634
For the key points recognition, we present a novel efficient convolutional deep learning framework (PMotion), which combines modified ConvNext using multi-kernel feature fusion and self-defined stacked Hourglass block with SiLU activation function.Main results.PMotion is u …
For the key points recognition, we present a novel efficient convolutional deep learning framework (PMotion), which combines modified ConvNe …
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets.
Pacal I, Karaman A, Karaboga D, Akay B, Basturk A, Nalbantoglu U, Coskun S. Pacal I, et al. Comput Biol Med. 2022 Feb;141:105031. doi: 10.1016/j.compbiomed.2021.105031. Epub 2021 Nov 13. Comput Biol Med. 2022. PMID: 34802713
Next, for further improving the performance of polyp detection using negative samples, we substituted the Sigmoid-weighted Linear Unit (SiLU) activation functions instead of the Leaky ReLU and Mish activation functions, and Complete Intersection over Union (CIoU) as the lo …
Next, for further improving the performance of polyp detection using negative samples, we substituted the Sigmoid-weighted Linear Unit (S
Rapid and accurate detection of multi-target walnut appearance quality based on the lightweight improved YOLOv5s_AMM model.
Zhan Z, Li L, Lin Y, Lv Z, Zhang H, Li X, Zhang F, Zeng Y. Zhan Z, et al. Front Plant Sci. 2023 Nov 8;14:1247156. doi: 10.3389/fpls.2023.1247156. eCollection 2023. Front Plant Sci. 2023. PMID: 38023833 Free PMC article.
Furthermore, we introduced an attentional convolutional adaptive fusion module (Acmix) within the spatial pyramid pooling layer to improve feature extraction. In addition, we replaced the SiLU activation function in the original Conv module with MetaAconC from the CBM modu …
Furthermore, we introduced an attentional convolutional adaptive fusion module (Acmix) within the spatial pyramid pooling layer to improve f …
Small Object Detection in Traffic Scenes Based on YOLO-MXANet.
He X, Cheng R, Zheng Z, Wang Z. He X, et al. Sensors (Basel). 2021 Nov 8;21(21):7422. doi: 10.3390/s21217422. Sensors (Basel). 2021. PMID: 34770726 Free PMC article.
The Multi-scale Feature Enhancement Fusion (MFEF) network is proposed to fuse the extracted features better. In addition, the SiLU activation function is utilized to optimize the Convolution-Batchnorm-Leaky ReLU (CBL) module and the SGBlock module to accelerate the converg …
The Multi-scale Feature Enhancement Fusion (MFEF) network is proposed to fuse the extracted features better. In addition, the SiLU ac …
62 results