16.01-04 Unified Engineering I, II, III, & IV, Fall 2003-Spring 2004 by Hall, Steven Ray, Coleman, Charles P, Drela, Mark, Lundqvist, Ingrid Kristina, Spearing, S Mark, Waitz, Ian A, Young, Peter W

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Improvement of resolution and polarisation measurement precision in biomedical imaging through adaptive optics by He, C, Booth, MJ

“…Biomedical polarimetric methods rely upon precise and accurate polarisation measurement, both in terms of spatial resolution and correctness of vectorial information. However, imperfections in the optical system and the optical properties of the specimen can lead to aberrations – errors in wavefront phase or in the polarisation state – that affect the resolution or the vectorial measurements. …”

Behaviour of geosynthetic reinforced wall with clay backfill by Parashar, Suresh Prasad.

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Macroscopic models of superconductivity by Chapman, SJ

“…After giving a description of the basic physical phenomena to be modelled, we begin by formulating a sharp-interface free-boundary model for the destruction of superconductivity by an applied magnetic field, under isothermal and anisothermal conditions, which takes the form of a vectorial Stefan model similar to the classical scalar Stefan model of solid/liquid phase transitions and identical in certain two-dimensional situations. …”

A commentary on Plutarch's Cato Minor by Geiger, J

“…Yet under the reign of Claudius and Nero a revival in the interest in Cato takes place: Seneca regards him as the Stoic Saint Incarnate, his nephew Lucan makes him the chief hero of his <u>Pharsalia</u>, while Thrasea Paetus composes a full scale <u>Life of Cato</u>: for the senatorial opposition under Nero Cato's figure again has a political relevance. …”

Enhanced kernel methods for pattern classification by Tang, Ke

“…A kernel method named least squares support vector machine is investigated in sub-topics of the pattern classification area.…”
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Occurrence, formation and treatment of disinfection by-product (DBPS) in swimming pool waters by Yang, Linyan

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Large margin classifications and their applications in computer vision by Li, Xuchun

“…The concept of large margin classification is used as a principle for analyzing many different algorithms, such as Support Vector Machine (SVM) and Boosting. Here it is the margin instead of raw training error that is used in designing classifiers.…”
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“We are as you made us”: exploring materiality and (Dis)embodied representations of power in Singaporean AI narratives by Chen, Stephanie Pey Rui

“…In this essay, I first explore the intersection between materiality and technology through the depictions of AI in Sonny Liew’s Malinky Robot and Victor O’Campo’s ‘Infinite Degrees of Freedom’. In these texts, I identify how the tension underlying social relations are necessarily socioeconomic due to the materiality inculcated in the Singaporean cultural imaginary. …”
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Using deep learning for studying spread-F in the ionosphere by Luwanga, Christopher

“…The methods explored in this work include Support Vector Machines and convolutional neural networks (CNN). …”
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Computer-assisted in between generation for cel animation by Chen, Quan

“…Our research is conducted in both image-based and vector-based areas. Our techniques improve the quality of inbetweens. …”
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On zero-dimensional polynomial systems and their applications to the elliptic curve discrete logarithm problem by Yun, Yang

“…Finally, we provide some concrete examples of vector spaces with the nice properties.…”
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Propagation models and measurements for microcellular communication systems by Tan, Soon Yim.

“…In an urban environment, a quasi-three-dimensional vector propagation model based on the uniform theory of diffraction (UTD) has been developed, using multiple-image theory and a ray launching technique to describe the multiple reflections and diffractions. …”
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Accelerating sparse matrix operations on FPGAs with on/off-chip memories by Li, Shiqing

“…In this thesis, we mainly target sparse-matrix dense-vector multiplication (SpMV), Sparse-matrix sparse-matrix multiplication (SpMM), and sparse Long short-term memory (SpLSTM). …”
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Feature representation for large scale classification by Yang, Hao

“…Particularly, we propose linear regression support vector machine (LR-SVM) for bag-of-visual-words (BOV) data, feature pair selection (FPS) for data with multiplicative correlation between its features, and a multi-view multi-instance convolution neural network based system for raw image data with multiple objects. …”
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Gigantic floating leaves occupy a large surface area at an economical material cost by Box, F, Erlich, A, Guan, JH, Thorogood, C

“…Leaf gigantism in waterlilies may have been driven by selection pressures favoring a large surface area at an economical material cost, for outcompeting other plants in fast-drying ephemeral pools.…”

Modelling and optimization of photonic crystal fibres by Wang, Yifei

“…The SFM-EI is a semi-analytical method and it is efficient, but it can only treat repeated lattice structures. The FEM is a full vectorial numerical tool which can handle complicated geometries. …”
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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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Competing pairing interactions responsible for the large upper critical field in a stoichiometric iron-based superconductor CaKFe4As4 by Bristow, M, Knafo, W, Reiss, P, Meier, W, Canfield, PC, Blundell, SJ, Coldea, AI

“…We find that the temperature dependence of the&nbsp;upper critical field can be well described by a two-band model in the clean limit with band-coupling parameters&nbsp;favoring intraband over interband interactions. The large Pauli paramagnetic effects together with the presence&nbsp;of the shallow bands is consistent with the stabilization of an FFLO state at low temperatures in this clean&nbsp;superconductor.…”

Outlier detection by Li, Shukai

“…Subsequently, a set of largely violated labeling vectors are combined via multiple kernel learning methods to robustly detect the outliers. …”
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