Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 11105 for “"prediction"”.
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Fast learning optimized prediction methodology for protein secondary structure prediction, relative solvent accessibility prediction and phosphorylation prediction
… <p>Several aspects of secondary structure predictions and other protein structure-related predictions are investigated using different types of information such as data obtained from knowledge-based potentials derived from amino acids in protein sequences, physicochemical properties of …
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Transforms for prediction residuals based on prediction inaccuracy modeling
… from previously encoded information. The prediction residuals are encoded with transforms. With a proper choice of the transform, a large amount of the residual energy compacts into a small number of transform coefficients. This is known as the energy compaction property. Given the …
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Reliability prediction techniques.
… system, a Markov model is developed, from which predictions of reliability, availability and mean time to first failure, are made. This model also allows for the inclusion of a random waiting time between failure and beginning of repair.
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Software reliability prediction
… simple approach of adapting software reliability predictions by Keiller and Littlewood (1984) can produce improved predictions, but at the same time, introduces a lot of internal noise into the adapted predictions. This is due to the fact that the adaptor is a joined-up function. An alternative …
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Software reliability prediction
… methods of software reliability estimation and prediction. Firstly, we examine a technique called 'recalibration' by means of which many existing software reliability prediction algorithms assess past predictive performance in order to improve the accuracy of current reliability predictions. …
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Human motion prediction.
… dynamics, however, mean that human motion prediction is extremely challenging. A growing body of approaches are being used to develop various models for motion prediction. Traditional methods, such as Boltzmann machine and Markov chains, proposed possibility models for predicting the …
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Software reliability prediction
The aim of the work described in this thesis was to improve NCR's decision making process for progressing software products through the development cycle. The first chapter briefly describes the software development process at NCR, detailing documentation review and software testing techniques. The …
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Lifetime Prediction of Geotextiles
No abstract prepared.
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PREDICTION OF RESPIRATORY MOTION
… centimeters during radiation treatment. The prediction of respiratory motion has become an important research area because respiratory motion severely affects precise radiation dose delivery. This study describes recent radiotherapy technologies including tools for measuring target position …
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Prediction with Mixture Models
… serves two purposes. Firstly, it enables the prediction of the label for examples without annotation. Secondly, the parameters of the model can provide useful insights into the structure of the data. If the data has an inherent partitioned structure, it is natural to mirror this structure in …
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Individualized, Computerized Growth Prediction
… was conducted to individualize growth prediction by use of regression formulas and therefore supplement the present method of using mean incremental data obtained from case study. There were 30 normal individuals, ages 8 to 19 years, 14 males and 16 females. Based on the analysis of …
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Prediction of canine epilepsy
Seizure prediction is a problem in biomedical science which now is possible to solve with machine learning methods. A seizure prediction system has the power to assist those affected by epilepsy in better managing their medication, daily activities and improving the quality of life. Usage of …
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Large scale disease prediction
… foundation of an automated large-scale disease prediction system. Unlike previous work that has typically focused on a small self-contained dataset, we explore the possibility of combining a large amount of heterogeneous data to perform gene selection and phenotype classification. First, a …
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Rain depolarization scatter prediction
… Methods for extending the depolarization predictions to attenuation variances are discussed. The paper concludes with a brief examination of resonance encountered when drop diameters are multiples or submultiples of critical wavelengths. Conclusions drawn are applicable to polarization …
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Prediction of proton and carbon-13 NMR chemical shifts using chemical shift prediction programs
… (1H and 13C) predictor program were used in the prediction of chemical shifts for alkaloids. The results obtained for flexible and rigid organic compounds indicate good calculation of 1H-chemical shifts by both CHARGE-V7 and ACD-V4 programs. These results are contrary to the poor chemical shifts …
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Housing demand prediction in Selangor
… goal of the study is to develop housing demand prediction model based on 4 categories of housing in Selangor which are low cost, low-medium cost, medium cost and high cost houses. This study was focused in Selangor because the state was recorded highest residential after Johor and Penang. The …
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Multi-character prediction using attention
… to the relevant features sequentially to make predictions. The attention mechanism also includes a start and stop state, which instructs the mechanism to start looking and guides it when to stop (e.g., when the sequence has been exhausted). We demonstrate our approach on two sequence detection …
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Prediction of Battery Health Dynamics
… The resulting accuracy of our state-of-health prediction was within 0.004249% of the reference physics-based model, while its computation time takes about 3s, as opposed to the reference model which takes ~3hrs"--Abstract, p. iv</p>
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Viewability prediction for display advertising
… should be accurately predicted. Ad viewability prediction can improve the performance of guaranteed ad delivery, real-time bidding, as well as recommender systems. This research is the first to address this important problem of ad viewability prediction. Inspired by the standard definition of …
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