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"selection bias" » "selection via" (Expand Search), "selection based" (Expand Search), "selection signals" (Expand Search)
"selection a" » "selection _" (Expand Search), "selection via" (Expand Search), "reflection a" (Expand Search)
"selection bias" » "selection via" (Expand Search), "selection based" (Expand Search), "selection signals" (Expand Search)
"selection a" » "selection _" (Expand Search), "selection via" (Expand Search), "reflection a" (Expand Search)
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Principled Exploration of Bipyridine and Terpyridine Additives to Promote Methylammonium Lead Iodide Perovskite Crystallization
Published 2024“…We present a systematic exploration of nine (9) bipyridine- and terpyridine-based additives selected from 29 candidates using high-throughput single-crystal growth. To combat selection bias and generate hypotheses for future experimental cycles of learning, we featurize candidate additives using Mordred descriptors and compare similarity metrics. …”
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Methodological, political and legal issues in the assessment of the effects of nanotechnology on human health
Published 2019“…Forming ENM worker cohorts from a combination of smaller cohorts and overcoming selection bias are also challenges. National or international registries for monitoring the exposures and health of ENM workers would be helpful for epidemiological studies, but the creation of such a registry and ENM worker cohorts will require political support and dedicated funding at the national and international levels. …”
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The GCSE attainment gap: assessing the influence of permanent school exclusion
Published 2025“…This is a critical limitation of the research due to the influence of confounding variables and sample selection bias. Using the National Pupil Database and a full cohort of UK pupils (N=590,092), our analysis tracked a sample of 1,490 pupils permanently excluded in year 11 of the English education system in 2018/19. …”
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Searching for Strong Gravitational Lenses
Published 2024“…To use the current lens samples for science, and for the design of future searches, we list several selection biases that exist due to these discovery techniques. …”
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The Warren Buffet Way : a model and its application to selected stocks listed on the Stock Exchange of Singapore
Published 2009“…This is followed by taking some stocks listed on the Stock Exchange of Singapore (from the industrial, commercial and financial sectors) for study and selecting a portfolio of stocks from these stocks. The returns of the stock portfolio is then compared with those selected for study and the Straits Times Industrial index.…”
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Thesis -
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Spatial-frequency approaches to texture analysis
Published 2008“…A filter selection algorithm for texture recognition has been developed to select a small subset of Gabor filters from a pre-defined Gabor filter bank. …”
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Field-oriented control of induction motors using artificial neural networks
Published 2009“…The field-oriented control essentially allows separate control of the excitation-producing and torque-producing components of the stator current. Selecting a synchronously rotating frame of reference with the rotor magnetizing current being the reference phasor, it is mathematically possible to split the stator current into two independent components Id and Iq respectively controlling the field and the torque.…”
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Immediate structured visual search for medical images
Published 2011“…In contrast to existing systems that retrieve images that are globally similar to a query image, we enable the user to select a query Region Of Interest (ROI) and automatically detect the corresponding regions within all returned images. …”
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Research and development aspects on chemical preparation techniques of photoanodes for dye sensitized solar cells
Published 2014“…However, there is a variety of consideration, and certain criteria must be taken into account when selecting a specific deposition method, due to the fact that the fabrication conditions vary and are unoptimized.…”
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Super-twisting extended state observer based quasi-proportional-resonant controller for permanent magnet synchronous motor drive system
Published 2023“…Although traditional active disturbance rejection control scheme generally selects a sufficiently large bandwidth of linear extended state observer (LESO) to enhance the time-varying disturbance rejection capacity, the bandwidth of LESO is limited by system stiffness. …”
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Application of feature selection algorithms in gene expression data analysis
Published 2010“…In this report, we consider the problem of applying feature selection techniques to select a small subset of informative biomarkers from DNA microarray data.…”
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A survery on CNN transfer learning for image classification
Published 2023“…There are various ways a user can go about selecting a Convolutional Neural Net- work model for their work. …”
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Final Year Project (FYP) -
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Unmatched Control Barrier Functions: Certainty Equivalence Adaptive Safety
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Atomic scale modulation of self‐rectifying resistive switching by interfacial defects
Published 2018“…Higher memory density and faster computational performance of resistive switching cells require reliable array‐accessible architecture. However, selecting a designated cell within a crossbar array without interference from sneak path currents through neighboring cells is a general problem. …”
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Decentralized Data Markets
Published 2024“…I propose two federated techniques to automatically select a subset of data sellers and datapoints for a buyer given some sample data. …”
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Melonic limits of the quartic Yukawa model and general features of melonic CFTs
Published 2025“…We reproduce these fixed points non-perturbatively using the Schwinger-Dyson equations, and in addition identify the supersymmetric fixed points in general dimension. Selecting a particular fermionic fixed point, we study its conformal spectrum non-perturbatively, comparing it to the sextic prismatic model. …”
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Object retrieval with large vocabularies and fast spatial matching
Published 2007“…The user supplies a query object by selecting a region of a query image, and the system returns a ranked list of images that contain the same object, retrieved from a large corpus. …”
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A sparse kernel algorithm for online time series data prediction
Published 2013“…To make the kernel methods suitable for online learning, we propose a sparsification method based on the Hessian matrix of the system loss function to continuously examine the significance of the new training sample in order to select a sparse dictionary (support vector set). The Hessian matrix is equivalent to the correlation matrix of sample inputs in the kernel weight updating using the recursive least square (RLS) algorithm. …”
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Journal Article