RSS 1.0SCSE Journal Articles
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Dynamic spectrum allocation for heterogeneous cognitive radio networks with multiple channels
(2019)The rapid growth of wireless communication technology has resulted in the increasing demand on spectrum resources. However, according to a recent study, most of the allocated frequency experiences significant underutilization. ... -
Exploring context with deep structured models for semantic segmentation
(2017)State-of-the-art semantic image segmentation methods are mostly based on training deep convolutional neural networks (CNNs). In this work, we proffer to improve semantic segmentation with the use of contextual information. ... -
ProactiveCrowd : modelling proactive steering behaviours for agent-based crowd simulation
(2018)How to realistically model an agent’s steering behavior is a critical issue in agent-based crowd simulation. In this work, we investigate some proactive steering strategies for agents to minimize potential collisions. To ... -
A near-optimal algorithm for constraint test ordering in automated stowage planning
(2018)The container stowage planning problem is known to be NP-hard and heuristic algorithms have been proposed. Conventionally, the efficiency of the stowage planning algorithms are improved by pruning or reducing the search ... -
Mid-air interaction with optical tracking for 3D modeling
(2018)Compared to common 2D interaction done with mouse and other 2D tracking devices, 3D hand tracking with low-cost optical cameras can provide more degrees of freedom, as well as natural gestures, when shape modeling is done ... -
Guide them through : an automatic crowd control framework using multi-objective genetic programming
(2018)We propose an automatic crowd control framework based on multi-objective optimisation of strategy space using genetic programming. In particular, based on the sensed local crowd densities at different segments, our framework ... -
Detecting flooding attack and accommodating burst traffic in delay-tolerant networks
(2018)Delay Tolerant Network (DTN) is developed to cope with intermittent connectivity and long delay in wireless networks. Due to limited connectivity, DTN is vulnerable to flooding attack in which malicious nodes flood the ... -
Distinctive molecular signature and activated signaling pathways in aortic smooth muscle cells of patients with myocardial infarction
(2018)Background and aims: We aim to identify significant transcriptome alterations of vascular smooth muscle cells (VSMCs) in the aortic wall of myocardial infarction (MI) patients. Providing a robust transcriptomic signature, ... -
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 ...
