A class-specific artificial receptor-based on molecularly imprinted polymer-coated quantum dot centers for the detection of signaling molecules, N-acyl-homoserine lactones present in gram-negative bacteria.
Sign Up to like & getrecommendations! Published in 2018 at "Analytica chimica acta"
DOI: 10.1016/j.aca.2018.05.018
Abstract: Herein, a novel class-specific artificial receptor-based on molecularly imprinted polymer (MIP)-coated quantum dots (QDs@MIP) was synthesized, characterized, and used for the detection and quantification of the bacterial quorum signaling molecules N-acyl-homoserine lactones (AHLs), a class… read more here.
Keywords: microscopy; qds mip; class specific; imprinted polymer ... See more keywords
Enhanced prediction of recombination hotspots using input features extracted by class specific autoencoders.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of theoretical biology"
DOI: 10.1016/j.jtbi.2018.02.016
Abstract: In yeast and in some mammals the frequencies of recombination are high in some genomic locations which are known as recombination hotspots and in the locations where the recombination is below average are consequently known… read more here.
Keywords: specific autoencoders; class specific; features extracted; deep features ... See more keywords
A systematic molecular and pharmacologic evaluation of AKT inhibitors reveals new insight into their biological activity
Sign Up to like & getrecommendations! Published in 2020 at "British Journal of Cancer"
DOI: 10.1038/s41416-020-0889-4
Abstract: Background AKT, a critical effector of the phosphoinositide 3-kinase (PI3K) signalling cascade, is an intensely pursued therapeutic target in oncology. Two distinct classes of AKT inhibitors have been in clinical development, ATP-competitive and allosteric. Class-specific… read more here.
Keywords: akt; akt inhibitors; drug; class specific ... See more keywords
A class I odorant receptor enhancer shares a functional motif with class II enhancers
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-020-79980-x
Abstract: In the mouse, 129 functional class I odorant receptor (OR) genes reside in a ~ 3 megabase huge gene cluster on chromosome 7. The J element, a long-range cis -regulatory element governs the singular expression of class… read more here.
Keywords: class; class specific; odorant receptor; class odorant ... See more keywords
Enhanced Class-Specific Spatial Normalization for Image Generation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3143538
Abstract: We propose enhanced class-specific spatial normalization, a simple yet effective layer to generate a photorealistic image given a spatial-class map. Under the assumption that pixels belonging to the same class share the same distribution in… read more here.
Keywords: class specific; class; spatial normalization; enhanced class ... See more keywords
FPGA-Based Online Power Quality Disturbances Monitoring Using Reduced-Sample HHT and Class-Specific Weighted RVFLN
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2892873
Abstract: This paper proposes a new signal segmentation method, reduced-sample empirical mode decomposition, to extract the highly correlated monocomponent mode of oscillations. The two efficacious power quality indices are extracted from the Hilbert transformed (HT) array… read more here.
Keywords: reduced sample; class specific; power quality; specific weighted ... See more keywords
Composite Wafer Defect Recognition Framework Based on Multiview Dynamic Feature Enhancement With Class-Specific Classifier
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3261924
Abstract: Wafer defect pattern recognition is important for the manufacturing of semiconductor products. By recognizing the type of defect, the engineer can optimize the process of semiconductor manufacturing. Due to the complexity of the manufacturing process,… read more here.
Keywords: wafer defect; class specific; specific classifier; framework ... See more keywords
Fine-Grained Image Classification via Low-Rank Sparse Coding With General and Class-Specific Codebooks.
Sign Up to like & getrecommendations! Published in 2017 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2016.2545112
Abstract: This paper tries to separate fine-grained images by jointly learning the encoding parameters and codebooks through low-rank sparse coding (LRSC) with general and class-specific codebook generation. Instead of treating each local feature independently, we encode… read more here.
Keywords: image; specific codebooks; general class; fine grained ... See more keywords
Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2929068
Abstract: Hashing has been widely used for large-scale approximate nearest neighbor search due to its storage and search efficiency. Recent supervised hashing research has shown that deep learning-based methods can significantly outperform nondeep methods. Most existing… read more here.
Keywords: class specific; hash codes; deep hashing; class ... See more keywords
Joint Metric Learning-Based Class-Specific Representation for Image Set Classification.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3212703
Abstract: With the rapid advances in digital imaging and communication technologies, recently image set classification has attracted significant attention and has been widely used in many real-world scenarios. As an effective technology, the class-specific representation theory-based… read more here.
Keywords: class specific; image set; image; specific representation ... See more keywords
Image Deblurring with a Class-Specific Prior
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2855177
Abstract: A fundamental problem in image deblurring is to recover reliably distinct spatial frequencies that have been suppressed by the blur kernel. To tackle this issue, existing image deblurring techniques often rely on generic image priors… read more here.
Keywords: specific prior; class specific; image deblurring; class ... See more keywords