An Effective Strategy to Construct Highly Efficient Deep‐Blue Organic Light‐Emitting Field‐Effect Transistors
Sign Up to like & getrecommendations! Published in 2017 at "Advanced Materials Interfaces"
DOI: 10.1002/admi.201700453
Abstract: The fabrication of highly efficient deep-blue organic light-emitting field-effect transistors (OLEFETs) remains a challenge due to the large energy bandgap of deep-blue emitters. In this work, an effective strategy is developed by combining an ambipolar… read more here.
Keywords: efficient deep; blue; blue organic; deep blue ... See more keywords
Phenazasiline/Spiroacridine Donor Combined with Methyl-Substituted Linkers for Efficient Deep Blue Thermally Activated Delayed Fluorescence Emitters.
Sign Up to like & getrecommendations! Published in 2019 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.8b20009
Abstract: Phenazasiline, a sp3 hybridized silicon-bridged diphenylamine, is a promising donor moiety for deep-blue TADF emitters because of its deep highest occupied molecular orbital, high triplet level of 3.1 eV, and orthogonal connection with acceptor moieties.… read more here.
Keywords: deep blue; efficient deep; tadf emitters; methyl substituted ... See more keywords
Highly Efficient Deep-Red Organic Light-Emitting Devices Based on Asymmetric Iridium(III) Complexes with the Thianthrene 5,5,10,10-Tetraoxide Moiety.
Sign Up to like & getrecommendations! Published in 2019 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.9b06749
Abstract: Highly efficient deep-red organic light-emitting devices (OLEDs) are indispensable for developing high performance red-green-blue (RGB) displays and white OLEDs (WOLEDs). However, the shortage of deep-red emitters with high photoluminescence quantum yields (PLQYs) and balanced charge… read more here.
Keywords: iii; thianthrene tetraoxide; efficient deep; iii complexes ... See more keywords
Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-42557-4
Abstract: Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-crafted algorithms or machine learning approaches such as support vector machines (SVMs) and convolutional neural networks (CNNs). Most deep neural network… read more here.
Keywords: network; efficient deep; visualization; tuberculosis ... See more keywords
Iridium(iii) phosphors with rigid fused-heterocyclic chelating architectures for efficient deep-red/near-infrared emissions in polymer light-emitting diodes
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Materials Chemistry C"
DOI: 10.1039/c9tc03645h
Abstract: Highly efficient deep-red/near-infrared emissions with maximum EQEs of 7.04% and 4.14%, respectively, are realized for Ir(iii) complexes by designing rigid fused-heterocyclic ligands. read more here.
Keywords: efficient deep; near infrared; red near; deep red ... See more keywords
Multiexpert Adversarial Regularization for Robust and Data-Efficient Deep Supervised Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3196780
Abstract: Deep neural networks (DNNs) can achieve high accuracy when there is abundant training data that has the same distribution as the test data. In practical applications, data deficiency is often a concern. For classification tasks,… read more here.
Keywords: supervised learning; robust data; data efficient; deep supervised ... See more keywords
OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With Dual-Mode Weight Compression and Sparse Weight Transposer
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2021.3138520
Abstract: In this article, we present an energy-efficient deep reinforcement learning (DRL) processor, OmniDRL, for DRL training on edge devices. Recently, the need for DRL training is growing due to the DRL’s distinct characteristics that can… read more here.
Keywords: energy; transposer; weight; deep reinforcement ... See more keywords
An efficient deep learning-based troposphere ZTD dataset generation method for massive GNSS CORS stations
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3276874
Abstract: Nowadays, a large number of Global Navigation Satellite System (GNSS) continuously operating reference stations (CORS) have been established around the world, which have already been and will continue to provide massive troposphere zenith total delay… read more here.
Keywords: series; ztd; ztd dataset; deep learning ... See more keywords
EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3128240
Abstract: Recommendation accuracy is a fundamental problem in the quality of the recommendation system. In this article, we propose an efficient deep matrix factorization (EDMF) with review feature learning for the industrial recommender system. Two characteristics… read more here.
Keywords: system; review; feature; matrix factorization ... See more keywords
Toward highly efficient deep-blue OLEDs: Tailoring the multiresonance-induced TADF molecules for suppressed excimer formation and near-unity horizontal dipole ratio.
Sign Up to like & getrecommendations! Published in 2023 at "Science advances"
DOI: 10.1126/sciadv.adf1388
Abstract: Boron-based compounds exhibiting a multiresonance thermally activated delayed fluorescence are regarded promising as a narrowband blue emitter desired for efficient displays with wide color gamut. However, their planar nature makes them prone to concentration-induced excimer… read more here.
Keywords: deep blue; excimer formation; blue oleds; efficient deep ... See more keywords
A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2207.01223
Abstract: The rapid development of deep learning has made a great progress in image segmentation, one of the fundamental tasks of computer vision. However, the current segmentation algorithms mostly rely on the availability of pixel-level annotations,… read more here.
Keywords: image segmentation; supervision; segmentation; efficient deep ... See more keywords