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Article
Open AccessShipborne oceanic high-spectral-resolution lidar for accurate estimation of seawater depth-resolved optical properties
Lidar techniques present a distinctive ability to resolve vertical structure of optical properties within the upper water column at both day- and night-time. However, accuracy challenges remain for existing li...
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Article
Improving the performance of organic lead–tin laminated perovskite solar cells from the perspective of device simulation
The toxic lead in traditional perovskite solar cells (PSCs) poses a fatal threat to the environment, and it takes time and technology to complete the transition to lead-free perovskite solar cells. In this wor...
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Article
Privacy-preserving and Utility-aware Participant Selection for Mobile Crowd Sensing
Mobile Crowd Sensing (MCS) is an emerging paradigm, it engages ordinary mobile device users to effectively contribute sensed data using mobile applications. The unique characteristics of MCS bring a lot of new...
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Chapter and Conference Paper
Flexible Projection Search Using Optimal Re-weighted Adjacency for Unsupervised Manifold Learning
Graph-based manifold learning plays an important role in clustering and classification tasks. Regarding the unsupervised case, the local structure of each sample is vital to the quality of clustering results. ...
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Article
Open AccessUBC9 coordinates inflammation affecting development of bladder cancer
Dysregulation of SUMO modification is linked to carcinogenesis. UBC9 is the sole conjugating enzyme in sumoylation and plays a pivotal role in maintaining homeostasis and restraining stress reactions. However,...
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Chapter and Conference Paper
Utility-Aware Participant Selection with Budget Constraints for Mobile Crowd Sensing
Mobile Crowd Sensing is an emerging paradigm, which engages ordinary mobile device users to efficiently collect data and share sensed information using mobile applications. The data collection of participants ...
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Article
Robust \(l_{2,1}\) Norm-Based Sparse Dictionary Coding Regularization of Homogenous and Heterogenous Graph Embeddings for Image Classifications
In the field of manifold learning, Marginal Fisher Analysis (MFA), Discriminant Neighborhood Embedding (DNE) and Double Adjacency Graph-based DNE (DAG-DNE) construct the graph embedding for homogeneous and het...
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Article
Plasmonic gold mushroom arrays with refractive index sensing figures of merit approaching the theoretical limit
Localized surface plasmon resonance (LSPR)-based sensing has found wide applications in medical diagnosis, food safety regulation and environmental monitoring. Compared with commercial propagating surface plas...
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Chapter and Conference Paper
The Maximized Discriminative Subspace for Manifold Learning Problem
Manifold learning problem, aims to seek some directions, which can keep the local structure and neighborhood of each sample as much as possible. In the conventional manifold learning approaches, feature extrac...
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Chapter and Conference Paper
Fusion of Local Features for Face Recognition by Multiple Least Square Solutions
In terms of supervised face recognition, linear discriminant analysis (LDA) has been viewed as one of the most popular approaches during the past years. In this paper, taking advantage of the equivalence betwe...
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Chapter and Conference Paper
Enhanced Iterative Projection for Subclass Analysis under EM Framework
Linear discriminant analysis (LDA) is a very popular supervised classification approach. But it cannot perform well in some cases such as large sample size, etc. In terms of its shortcoming, some scholars in t...
