Changjing Shang

TL;DR: In this paper, a reasonable distribution scheme with limited supply affects operation costs, demand satisfaction rate of gasoline stations (hereafter, ‘station satis'), and operation costs of depots with refined oil shortage.

TL;DR: A novel multi-objective optimization method for finding the optimal routes in hazardous material logistics under the constraint of traffic restrictions in inter-city roads is presented and it is proposed to consider multiple paths between every possible origin-destination pair.

TL;DR: The results demonstrate that for the problem of mammographic risk analysis, evolutionary fuzzy extreme learning machine entails such performance both at the overall image level and at the level of individual risk types.

TL;DR: A novel triplet input network is introduced, which is capable of learning bi-temporal image features, extracting the temporal information reflecting the difference between images over time, and the effectiveness and robustness of HRTNet are verified on three popular high-resolution remote sensing image datasets.

TL;DR: A novel approach for building transparent knowledge-based systems by generating accurate and interpretable fuzzy rules by making use of only predefined fuzzy labels that reflect prescribed notations and domain expertise, thereby ensuring transparency in the knowledge model adopted for problem solving.