RSS 1.0SCSE Journal Articles
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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. ... -
Gene ontology enrichment improves performances of functional similarity of genes
(2018)There exists a plethora of measures to evaluate functional similarity (FS) between genes, which is a widely used in many bioinformatics applications including detecting molecular pathways, identifying co-expressed genes, ... -
Stochastic computing with spiking neural P systems
(2017)This paper presents a new computational framework to address the challenges in deeply scaled technologies by implementing stochastic computing (SC) using the Spiking Neural P (SN P) Systems. SC is well known for its high ... -
A survey of techniques for constructing chinese knowledge graphs and their applications
(2018)With the continuous development of intelligent technologies, knowledge graph, the backbone of artificial intelligence, has attracted much attention from both academic and industrial communities due to its powerful capability ... -
Ovarian cancer diagnosis using a hybrid intelligent system with simple yet convincing rules
(2014)Ovarian cancer is the ninth most common cancer among women and ranks fifth in cancer deaths. Statistics show that the five-year survival rate is greater than 75% if diagnosis occurs before the cancer cells have spread to ... -
Intrinsic computation of Centroidal Voronoi Tessellation (CVT) on meshes
(2015)Centroidal Voronoi tessellation (CVT) is a special type of Voronoi diagram such that the generating point of each Voronoi cell is also its center of mass. The CVT has broad applications in computer graphics, such as meshing, ... -
Manifold Differential Evolution (MDE) : A global optimization method for geodesic Centroidal Voronoi Tessellations on meshes
(2016)Computing centroidal Voronoi tessellations (CVT) has many applications in computer graphics. The existing methods, such as the Lloyd algorithm and the quasi-Newton solver, are efficient and easy to implement; however, ... -
Automatic registration of vestibular systems with exact landmark correspondence
(2014)Shape registration has a wide range of applications in geometric modeling, medical imaging, and computer vision. This paper focuses on the registration of the genus-3 vestibular systems and studies the geometric differences ... -
Low-latency compression of mocap data using learned spatial decorrelation transform
(2016)Due to the growing needs of motion capture (mocap) in movie, video games, sports, etc., it is highly desired to compress mocap data for efficient storage and transmission. Unfortunately, the existing compression methods ... -
Sparse low-rank matrix approximation for data compression
(2017)Low-rank matrix approximation (LRMA) is a powerful technique for signal processing and pattern analysis. However, its potential for data compression has not yet been fully investigated. In this paper, we propose sparse ... -
An optimization-driven approach for computing geodesic paths on triangle meshes
(2017)There are many application scenarios where we need to refine an initial path lying on a surface to be as short as possible. A typical way to solve this problem is to iteratively shorten one segment of the path at a time. ... -
Thermal analysis for underground data centres in the tropics
(2017)Different with traditional aboveground data centres, underground data centres have attracted increasing attention during recent years due to its inherent geographical advantages such as zero solar heat gain, low ambient ... -
Circuit and system design for optimal lightweight AES encryption on FPGA
(2018)The substitution box (or commonly termed as S-Box) is a non-linear transformation, and known as the bottleneck of the overall operation in AES cipher. Due to recent emergence of high performance and lightweight applications, ... -
Sparsity-based image inpainting detection via canonical correlation analysis with low-rank constraints
(2018)Image inpainting, a commonly used image editing technique for filling the mask or missing areas in images, is often adopted to destroy the integrity of images by forgers with ulterior motives. Compared with other types of ... -
Drug-target interaction prediction via class imbalance-aware ensemble learning
(2016)Background: Multiple computational methods for predicting drug-target interactions have been developed to facilitate the drug discovery process. These methods use available data on known drug-target interactions to train ... -
The study of the influence of obstacles on crowd dynamics
(2017)This paper presents the research on the influence of obstacles on crowd dynamics. We have performed experiments for four base scenarios of interaction in crowd: unidirectional flow, bidirectional flow, merging flows and ... -
Brain-computer-interface-based intervention re-normalizes brain functional network topology in children with attention deficit/hyperactivity disorder
(2018)A brain-computer-interface (BCI)-based attention training game system has shown promise for treating attention deficit/hyperactivity disorder (ADHD) children with inattentive symptoms. However, little is known about brain ... -
Stochastic inner product core for digital FIR filters
(2017)The computational operations of stochastic computing (SC) are governed by probability rules which is different from conventional arithmetic computations. Applications of SC to digital signal and image processing problems ... -
Data-driven modeling of transportation systems and traffic data analysis during a major power outage in the Netherlands
(2015)Efficient methods and tools for road network planning and traffic management are critically important in the ever more urbanized world. The goal of our research is the development of a data-driven multiscale modeling ... -
SynLethDB : synthetic lethality database toward discovery of selective and sensitive anticancer drug targets
(2016)Synthetic lethality (SL) is a type of genetic interaction between two genes such that simultaneous perturbations of the two genes result in cell death or a dramatic decrease of cell viability, while a perturbation of either ...
