RSS 1.0SCSE Journal Articles
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Boundary-aware single fringe pattern demodulation
(2017)Optical interferometric techniques offer non-contact, high accuracy and full field measurements, which are very attractive in various research and application fields. Single fringe pattern processing is often needed when ... -
Learning-based multimedia analyses and applications
(2018)The methodologies on multimedia analysis usually combine different sources/modalities of information such as text, audio, and images to solve various practical tasks related to advertisement, education, art, and so on. In ... -
Optimization algorithms combining (meta)heuristics and mathematical programming and its application in engineering
(2018)Complex optimization problems can be tackled by means of mathematical programming methods as well as by means of (meta)heuristic methods. On the one hand, mathematical programming methods give us a guarantee of optimality ... -
Sampling moiré as a special windowed Fourier ridges algorithm in demodulation of carrier fringe patterns
(2018)In recent times, both the windowed Fourier ridges (WFR) and sampling moiré (SM) algorithms have been extensively used due to their high effectiveness in the demodulation of carrier fringe patterns. As they are developed ... -
Behavior-interior-aware user preference analysis based on social networks
(2018)There is a growing trend recently in big data analysis that focuses on behavior interiors, which concern the semantic meanings (e.g., sentiment, controversy, and other state-dependent factors) in explaining the human ... -
Automated fluorescence intensity and gradient analysis enables detection of rare fluorescent mutant cells deep within the tissue of RaDR mice
(2018)Homologous recombination (HR) events are key drivers of cancer-promoting mutations, and the ability to visualize these events in situ provides important information regarding mutant cell type, location, and clonal expansion. ... -
Joint implicit and explicit neural networks for question recommendation in CQA services
(2018)Community question answering (CQA) services have emerged as a type of popular social platforms. In the social network, experts provide knowledgeable answers to the questions in their domain of expertise, while celebrities ... -
A self-healing redundancy scheme for mission/safety-critical applications
(2018)In the nanoelectronics era, multiple faults or failures in circuits and systems deployed in mission- and safety-critical applications, such as space, aerospace, nuclear etc., are known to occur. To withstand these, higher ... -
75-mm wingspan fixed-wing nano air vehicle with a novel aircraft configuration
(2018)The development of a fixed-wing nano air vehicle that fits inside a cube of 75 mm is described in this paper. A novel aircraft configuration that satisfies the static and dynamic stability and the mission performance ... -
Privacy preserving user based web service recommendations
(2018)The Quality of Service (QoS)-based personalized web service recommendations have been gaining increasing popularity due to its ability to assist users in finding high quality web services. For this purpose, Collaborative ... -
Distributed decisions on TV spectrum allocation considering spatial and temporal variation
(2018)TV spectrum has lower path loss, longer transmission range, and higher penetration capability, resulting in a wide range of potential important applications. However, unlike Wi-Fi bands, TV spectrum is subjected to high ... -
How to find a perfect data scientist : a distance-metric learning approach
(2018)The title of data scientist has been described as one of the sexiest jobs of the 21st century. Numerous efforts have been made to define the job of a data scientist in a qualitative manner by, for example, listing the job ... -
基于Contourlet统计特性的无参考图像质量评价 = No-reference quality assessment based on the statistics in Cntourlet domain
(2016)利用Contourlet统计特征建立自然统计模型与待评价图像模型,提出了Contourlet域无参考图像质量评价方法(SCIQA)。通过在主观数据库上的实验表明,无论同种干扰类型的图像还是多种干扰图像集合,SCIQA均明显优于经典全参考算法和通用型无参考算法,并且具有较强的通用性。 The statistic features in Cntourlet domain are employed to build the natural ... -
A word-embedding-based steganalysis method for linguistic steganography via synonym substitution
(2018)The development of steganography technology threatens the security of privacy information in smart campus. To prevent privacy disclosure, a linguistic steganalysis method based on word embedding is proposed to detect the ... -
Identifying cognitive distortion by convolutional neural network based text classification
(2017)Cognitive distortions have a way of playing havoc with our lives. The most important step to untwist the irrational thinking is identifying the forms of the cognitive distortion. The daily narration or diaries of the ... -
Digging deep into Golgi phenotypic diversity with unsupervised machine learning
(2017)The synthesis of glycans and the sorting of proteins are critical functions of the Golgi apparatus and depend on its highly complex and compartmentalized architecture. High-content image analysis coupled to RNA interference ... -
Mixed-criticality scheduling to minimize makespan
(2016)In the mixed-criticality job model, each job is characterized by two execution time parameters, representing a smaller (less conservative) estimate and a larger (more conservative) estimate on its actual, unknown, execution ... -
Data-driven travel demand modelling and agent-based traffic simulation in Amsterdam urban area
(2016)The goal of this project is the development of a large-scale agent-based traffic simulation system for Amsterdam urban area, validated on sensor data and adjusted for decision support in critical situations and for policy ... -
Traffic state estimation using floating car data
(2016)There is an increasing availability of floating car data both historic, in the form of trajectory datasets and real-time, in the form of continuous data streams. This paves the way for several advanced traffic management ... -
Learning behavior patterns from video for agent-based crowd modeling and simulation
(2016)This paper proposes a novel data-driven modeling framework to construct agent-based crowd model based on real-world video data. The constructed crowd model can generate crowd behaviors that match those observed in the video ...
