Automatic cardiac ventricular boundary detection by Cheng, Jierong

“…A new external force for snakes is proposed as dynamic directional gradient vector flow (DDGVF) for LV boundary detection in short-axis echocardiographic images. …”
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Modelling of a three (single)-phase two-stage inversion power supply by Liu, Jin

“…And a three-leg full-bridge voltage source inverter modulated by space vector pulse width modulation (SVPWM) is developed at the secondary stage for efficient power inversion. …”
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Modelling and controlling of multilevel converters for smart grid applications by Dzulfaqar Shah Muhamad

“…In a three-phased system, a Direct-Quadrature-Zero (D-Q) or Space Vector transformation will be chosen to simplify the complexity of the control loops. …”
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Side channel attack on mobile devices using machine learning by Muhammad Jazeel Meerasah

“…Supervised learning model, Support Vector Machine(SVM) is used to train the model using the improved dataset . …”
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Academic freedom and protected philosophical belief: strengthening the legal analysis by Murray, J, Waltham-Smith, N

“…This article evaluates the state of protection for academic freedom and academic freedom of expression in English law, specifically the effectiveness of protected philosophical belief (PPB) as a vector for protecting them. We argue that the category of PPB (circumscribed by the test in Grainger v Nicholson) is inherently inappropriate as a means of protecting values that are of signal importance in the academic employment context. …”

The devil is in the details: an evaluation of recent feature encoding methods by Chatfield, K, Lempitsky, V, Vedaldi, A, Zisserman, A

“…Examples include locality-constrained linear encoding [23], improved Fisher encoding [17], super vector encoding [27], and kernel codebook encoding [20]. …”

A surface transporter family conveys the trypanosome differentiation signal by Dean, S, Marchetti, R, Kirk, K, Matthews, KR

“…Microbial pathogens use environmental cues to trigger the developmental events needed to infect mammalian hosts or transmit to disease vectors. The parasites causing African sleeping sickness respond to citrate or cis-aconitate (CCA) to initiate life-cycle development when transmitted to their tsetse fly vector. …”

Convolutional neural network for skull recognition by Badr Lahasan, Badr Lahasan, Samma, Hussein

“…Basically, the unknown skull image is fed to a pre-trained CNN network to extract a 1D feature vector, and then it will be matched with photos at database agencies to identify the closest match. …”
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Effects of moisture content and temperature on microwave measurement of lightweight foamed concrete by Lee, Kim Yee, Phua, Yeong Nan, Lim, Siong Kang, You, Kok Yeow, Cheng, Ee Meng

“…The microwave S-parameters were measured using an R&S ZVB8 Vector Network Analyzer with an N-type open-ended coaxial sensor and were used to calculate the dielectric constant. …”

Reliability analysis and data driven modelling of railway component failure by Wang, Jinlong

“…A novel method of combining Support Vector Regression with Archard wear law to predict the wear behavior of the rail steel was developed in case study (4). …”
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Efficacy of Wolbachia-mediated sterility to reduce the incidence of dengue: a synthetic control study in Singapore by Lim, Jue Tao, Bansal, Somya, Chong, Chee Seng, Dickens, Borame, Ng, Youming, Deng, Lu, Lee, Caleb, Tan, Li Yun, Chain, Grace, Ma, Pei, Sim, Shuzhen, Tan, Cheong Huat, Cook, Alex R., Ng, Lee Ching

“…Background: Due to the absence of available therapeutics and good vaccines, vector control solutions are needed to mitigate the spread of dengue. …”
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Sentiment analysis on yelp reviews by Wong, Hong Yong

“…Various supervised machine learning classifiers namely Naïve Bayes, Random Forest, Neural Networks, Support Vector Machine and Logistic Regression have been used to label reviews by performing text classification. …”
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Autonomous learning machine for online big data analysis by Ng, Jia Yu

“…Next, the Triplet network is trained to learn an embedding of the feature vector representation of the products. The embedding prevents the convergence problem by moving each sample closer to its reconstruction restored with the same class’s autoencoder and further from the opposite class’s autoencoder [1]. …”
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Modeling and performance analysis of mobile ad hoc network using OPNET by Ngor, Pengty.

“…The routing protocol which is used in the project is Ad Hoc On-Demand Distance Vector (AODV). AODV routing protocol is increasingly more popular for mobile nodes in ad hoc network as it provides a quick adaptation to dynamic change due to mobility, low processing and memory overhead, low network utilization and loop-free protocol. …”
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Studies of influence on iron (III) oxide on propagation loss of building materials for 5G wireless communications by Zhong, Yixiao

“…S-parameter measurements at 2.4 GHz frequency band, 3.5 GHz mid-band 5G frequency band and 26 GHz high band 5G frequency band are obtained using Vector Network Analyzer in a fully shielded anechoic chamber using free-space method and waveguide method. …”
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Functional characterization of orexin system by Chua, Peiling

“…Hence, we wanted to construct orexin receptor knockout viral vectors and inject them in vivo into the mouse’s brain. …”
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Environment data processing for a data centre by Tan, Mei Xuan

“…Five types of predictive models: Multilayer Perceptron, Linear Regression, Decision Tree, Support Vector Regression and Stacking-based Ensemble were developed to predict total IT power consumption using IT facilities' operating conditions and meteorological parameters as inputs. …”
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Mining big spatial data by Ye, Ziyuan

“…For trajectory representation learning, a sequence-to-sequence autoencoder and decoder RNN network is trained to learn a fixed-length vector for each input trajectory. The vectors learned are then fed into the K-means clustering algorithm. …”
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Optimising expression and purification of Dengue soluble E protein by Poh, Nina Yong Xin

“…Successful modification and vector expression in pcDNA3.1 enhance solubility, enabling drug development and testing. …”
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Artificial intelligence-based lifetime estimation for battery in electric vehicles by Manya, Miglani

“…The project uses neural networks and regression models such as support Vector Regression (SVR), Random Forest, Bagging Regressor, and Long Short-Term Memory (LSTM) networks with data from MATLAB simulations. …”
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