Nano-Optomechanical Resonators Based Graphene/Au Membrane for Current Sensing
The monitoring of electric current is essential to ensuring the reliable operation of power systems and electronic equipment. The present study demonstrates an optomechanical cavity-based resonator…
Covariance Matrix Estimation for High-Throughput Biomedical Data with Interco…
Estimating a covariance matrix is central to high-dimensional data analysis. Empirical analyses of high-dimensional biomedical data, including genomics, proteomics, microbiome, and neuroimaging, am…
Joint Network Reconstruction and Community Detection from Rich but Noisy Data
Most empirical studies of complex networks return rich but noisy data, as they measure the network structure repeatedly but with substantial errors due to indirect measurements. In this article, we…
Survey on AI Sustainability : Emerging Trends on Learning Algorithms and Rese…
Artificial Intelligence (AI) is a fast-growing research and development (R&D) discipline which is attracting increasing attention because it promises to bring vast benefits for consumers and busine…
Functional-Coefficient Quantile Regression for Panel Data with Latent Group S…
This article considers estimating functional-coefficient models in panel quantile regression with individual effects, allowing the cross-sectional and temporal dependence for large panel observatio…
Diversity Preference-Aware Link Recommendation for Online Social Networks
Link recommendation, which recommends links to connect unlinked online social network users, is a fundamental social network analytics problem with ample business implications. Existing link recomm…
A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response…
As artificial intelligence and digitalization technologies are flourishing real-time, online interaction–based commercial modes, exploiting customers’ purchase intention implied in online inter…
Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Unde…
The integrative analysis of multiple sequences of multiple tests has enjoyed increasing popularity in many applications, especially in large-scale genomics. In the context of large-scale multiple t…
Probabilistic Forecasting of Bus Travel Time with a Bayesian Gaussian Mixture…
Accurate forecasting of bus travel time and its uncertainty is critical to service quality and operation of transit systems: it can help passengers make informed decisions on departure time, route …
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