Automatically learning semantic features for defect prediction
Software defect prediction, which predicts defective code regions, can help developers find
bugs and prioritize their testing efforts. To build accurate prediction models, previous studies …
bugs and prioritize their testing efforts. To build accurate prediction models, previous studies …
CrackTree: Automatic crack detection from pavement images
Pavement cracks are important information for evaluating the road condition and conducting
the necessary road maintenance. In this paper, we develop CrackTree, a fully-automatic …
the necessary road maintenance. In this paper, we develop CrackTree, a fully-automatic …
Preparation, surface functionalization and application of Fe3O4 magnetic nanoparticles
S Liu, B Yu, S Wang, Y Shen, H Cong - Advances in colloid and Interface …, 2020 - Elsevier
This paper reviews recent developments in the preparation, surface functionalization, and
applications of Fe 3 O 4 magnetic nanoparticles. Especially, it includes preparation methods (…
applications of Fe 3 O 4 magnetic nanoparticles. Especially, it includes preparation methods (…
Soliton fission and fusion: Burgers equation and Sharma–Tasso–Olver equation
S Wang, X Tang, SY Lou - Chaos, Solitons & Fractals, 2004 - Elsevier
Fission and fusion phenomena can happen for solitons (sometimes solitary waves may be
more accurate) which have been recently discovered both theoretically and experimentally. In …
more accurate) which have been recently discovered both theoretically and experimentally. In …
Li storage properties of disordered graphene nanosheets
…, S Wang, B Zhao, M Wu, H Zhang, Y Wang… - Chemistry of …, 2009 - ACS Publications
Graphene has aroused intensive interest because of its unique structure, superior properties,
and various promising applications. Graphene nanostructures with significant disorder and …
and various promising applications. Graphene nanostructures with significant disorder and …
Software testing with large language models: Survey, landscape, and vision
Pre-trained large language models (LLMs) have recently emerged as a breakthrough technology
in natural language processing and artificial intelligence, with the ability to handle large…
in natural language processing and artificial intelligence, with the ability to handle large…
Learning dynamic siamese network for visual object tracking
How to effectively learn temporal variation of target appearance, to exclude the interference
of cluttered background, while maintaining real-time response, is an essential problem of …
of cluttered background, while maintaining real-time response, is an essential problem of …
Deepcrack: Learning hierarchical convolutional features for crack detection
Cracks are typical line structures that are of interest in many computer-vision applications. In
practice, many cracks, eg, pavement cracks, show poor continuity and low contrast, which …
practice, many cracks, eg, pavement cracks, show poor continuity and low contrast, which …
Horseradish peroxidase functionalized fluorescent gold nanoclusters for hydrogen peroxide sensing
F Wen, Y Dong, L Feng, S Wang, S Zhang… - Analytical …, 2011 - ACS Publications
The fluorescence of metal nanoclusters provides an amusing optic feature to be applied in
various fields. However, rational design of dual functional fluorescent metal nanoclusters …
various fields. However, rational design of dual functional fluorescent metal nanoclusters …
Hydrogen sulfide promotes wheat seed germination and alleviates oxidative damage against copper stress
…, LY Hu, KD Hu, YD He, SH Wang… - Journal of integrative …, 2008 - Wiley Online Library
With the enhancement of copper (Cu) stress, the germination percentage of wheat seeds
decreased gradually. Pretreatment with sodium hydrosulfide (NaHS), hydrogen sulfide (H 2 S) …
decreased gradually. Pretreatment with sodium hydrosulfide (NaHS), hydrogen sulfide (H 2 S) …