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The following term was not found in PubMed: Yingsamphanchareon
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Did you mean trunet yingsamphanchareon (89 results)?
TriNet: A tri-fusion neural network for the prediction of anticancer and antimicrobial peptides.
Zhou W, Liu Y, Li Y, Kong S, Wang W, Ding B, Han J, Mou C, Gao X, Liu J. Zhou W, et al. Patterns (N Y). 2023 Feb 28;4(3):100702. doi: 10.1016/j.patter.2023.100702. eCollection 2023 Mar 10. Patterns (N Y). 2023. PMID: 36960450 Free PMC article.
TriNet is tested on multiple challenging ACP and AMP datasets and exhibits significant improvements over various state-of-the-art methods. The web server and source code of TriNet are respectively available at http://liulab.top/TriNet/server and https://githu …
TriNet is tested on multiple challenging ACP and AMP datasets and exhibits significant improvements over various state-of-the-art met …
IoT-blockchain empowered Trinet: optimized fall detection system for elderly safety.
Alfayez F, Bhatia Khan S. Alfayez F, et al. Front Bioeng Biotechnol. 2023 Sep 21;11:1257676. doi: 10.3389/fbioe.2023.1257676. eCollection 2023. Front Bioeng Biotechnol. 2023. PMID: 37811373 Free PMC article.
The features are extracted after pre-processed data using statistical features, autocorrelation, and Principal Component Analysis The proposed approach utilizes a novel hybrid HSSTL combines Teaching-Learning-Based Optimization and Spring Search Algorithm to select the optimal fe …
The features are extracted after pre-processed data using statistical features, autocorrelation, and Principal Component Analysis The propos …
Protocol for predicting peptides with anticancer and antimicrobial properties by a tri-fusion neural network.
Han J, Zhang S, Liu J. Han J, et al. STAR Protoc. 2023 Sep 15;4(3):102541. doi: 10.1016/j.xpro.2023.102541. Epub 2023 Sep 2. STAR Protoc. 2023. PMID: 37660298 Free PMC article.
Here, we describe the use of TriNet to predict peptides with anticancer and antimicrobial properties by a tri-fusion neural network. We detail the use of TriNet for both the offline Python script version and the online service, thereby demonstrating its convenience …
Here, we describe the use of TriNet to predict peptides with anticancer and antimicrobial properties by a tri-fusion neural network. …
3D deformation measurement in digital holographic interferometry using a multitask deep learning architecture.
Vengala KS, Paluru N, Subrahmanyam Gorthi RKS. Vengala KS, et al. J Opt Soc Am A Opt Image Sci Vis. 2022 Jan 1;39(1):167-176. doi: 10.1364/JOSAA.444949. J Opt Soc Am A Opt Image Sci Vis. 2022. PMID: 35200991
The proposed TriNet has a pyramidal encoder-two-decoder framework for multi-scale information fusion. To our knowledge, TriNet is the first multitask approach to accomplish simultaneous denoising and phase unwrapping of the wrapped phase from the interference fringe …
The proposed TriNet has a pyramidal encoder-two-decoder framework for multi-scale information fusion. To our knowledge, TriNet …
Multi-level Semantic Feature Augmentation for One-shot Learning.
Cheny Z, Fuy Y, Zhang Y, Jiang YG, Xue X, Sigal L. Cheny Z, et al. IEEE Trans Image Process. 2019 Apr 9. doi: 10.1109/TIP.2019.2910052. Online ahead of print. IEEE Trans Image Process. 2019. PMID: 30969924
Instead of synthesizing new image instance, we propose to directly synthesize instance features by leveraging semantics using a novel auto-encoder network we call dual TriNet. The encoder part of the TriNet learns to map multi-layer visual features from CNN to a sem …
Instead of synthesizing new image instance, we propose to directly synthesize instance features by leveraging semantics using a novel auto-e …
Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks.
Choudhary A, Wu H, Tong L, Wang MD. Choudhary A, et al. ACM BCB. 2019 Sep;2019:466-474. doi: 10.1145/3307339.3342170. ACM BCB. 2019. PMID: 32558828 Free PMC article.
Inspired by the effectiveness of deep neural networks in evaluating perceptual similarity of natural images, in this paper, we propose TriNet-P, a color-perceptual similarity metric for whole slide images, based on deep metric embeddings. ...
Inspired by the effectiveness of deep neural networks in evaluating perceptual similarity of natural images, in this paper, we propose Tr …
Identifying survival-associated modules from the dysregulated triplet network in glioblastoma multiforme.
Wang JB, Liu FH, Chen JH, Ge HT, Mu LY, Bao HB, Lin ZG. Wang JB, et al. J Cancer Res Clin Oncol. 2017 Apr;143(4):661-671. doi: 10.1007/s00432-016-2332-z. Epub 2017 Feb 6. J Cancer Res Clin Oncol. 2017. PMID: 28168356
OBJECTIVES: Here, we constructed a differential triplet interaction network (TriNet) between GBM and normal tissues and identified GBM survival related triplets. ...
OBJECTIVES: Here, we constructed a differential triplet interaction network (TriNet) between GBM and normal tissues and identified GB …
Multi-Camera Vessel-Speed Enforcement by Enhancing Detection and Re-Identification Techniques.
Zwemer MH, Groot HGJ, Wijnhoven R, Bondarev E, de With PHN. Zwemer MH, et al. Sensors (Basel). 2021 Jul 7;21(14):4659. doi: 10.3390/s21144659. Sensors (Basel). 2021. PMID: 34300397 Free PMC article.
The re-ID experiments start with a baseline single-image evaluation obtaining a score of 55.9% Rank-1 (49.7% mAP) for the existing TriNet network, while the available MGN model obtains 68.9% Rank-1 (62.6% mAP). ...
The re-ID experiments start with a baseline single-image evaluation obtaining a score of 55.9% Rank-1 (49.7% mAP) for the existing TriNet …
TriLoNet: Piecing Together Small Networks to Reconstruct Reticulate Evolutionary Histories.
Oldman J, Wu T, van Iersel L, Moulton V. Oldman J, et al. Mol Biol Evol. 2016 Aug;33(8):2151-62. doi: 10.1093/molbev/msw068. Epub 2016 Apr 15. Mol Biol Evol. 2016. PMID: 27189565
Phylogenetic networks are a generalization of evolutionary trees that can be used to represent reticulate processes such as hybridization and recombination. Here, we introduce a new approach called TriLoNet (Trinet Level- one Network algorithm) to construct such networks d …
Phylogenetic networks are a generalization of evolutionary trees that can be used to represent reticulate processes such as hybridization an …
Decisionmaking in hospital earthquake evacuation: does distance from the epicenter matter?
Schultz CH, Koenig KL, Lewis RJ. Schultz CH, et al. Ann Emerg Med. 2007 Sep;50(3):320-6. doi: 10.1016/j.annemergmed.2007.03.025. Epub 2007 Apr 30. Ann Emerg Med. 2007. PMID: 17467117 Free article.
Distances from the epicenter and peak ground accelerations were calculated for each hospital from Trinet ShakeMap data and compared. RESULTS: Eight hospitals evacuated patients (study group); 4 of these hospitals were condemned. ...
Distances from the epicenter and peak ground accelerations were calculated for each hospital from Trinet ShakeMap data and compared. …
14 results