Jun Liu

TL;DR: Based on seasonal weather classification, the back propagation (BP) artificial neural network (ANN) approach is utilized to forecast the next 24-h PV power outputs, and the estimated results of the proposed PV power forecasting model coincide well with measurement data as discussed by the authors.

TL;DR: A novel approach that constructs frequent subgraphs (fregraphs) to represent the common behaviors of malware samples that belong to the same family, and proposes and develops FalDroid, a novel system that automatically classifies Android malware and selects representative malware samples in accordance with fregraphs.

TL;DR: In this paper, a distributionally robust chance constrained approximate ac-OPF is proposed for variable renewable energy (VRE) uncertainties, where the ambiguity set is constructed from historical data without any presumption on the type of the probability distribution, and more data leads to smaller ambiguity set and less conservative strategy.

TL;DR: DAPASA, an approach to detect Android piggybacked apps through sensitive subgraph analysis, is proposed and exhibits an impressive detection performance compared with that of three baseline approaches even with only five numeric features.

TL;DR: There were fewer members of the PeDREB subfamily in moso bamboo than in other plants and there were differences in DREB gene expression profiles between leaves and roots triggered in response to abiotic stress, which may be valuable in overcoming challenges in cultivating mosoamboo.