Design of Low Power Medical Device

Cai, Wei; Shi, Frank G.

doi:10.5121/vlsic.2017.8201

Cited by 7 publications

(7 citation statements)

References 3 publications

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“…Whether a machine can learn some aspects of such a decision-making process based on adequate information really attracts us. Zillow, founded in 2006, together with Yahoo Real Estate, create one of the largest real estate advertising networks [10,11,12]. Fortunately, Zillow is seeking help on improving home value estimations and is willing to share adequate real data.…”

Section: Introductionmentioning

confidence: 99%

Predicting Home Value in California, United States via Machine Learning Modeling

Huang

2019

Stat., optim. inf. comput.

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The market value of real estate is difficult to predict with simple regression model due to the diversity and complexity of the real data. In this paper, with the latest real estate data of three counties in Los Angeles, California, United States, both linear and non-linear machine learning methods are employed to predict the log error of the home value. The motivation is to improve the accuracy in home value prediction with advanced methods. The main contribution is that it finds that traditional linear models are not predictive for complex home value data sets, while tree based non-linear models are most accurate with the lowest mean square errors.

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Section: Introductionmentioning

confidence: 99%

Predicting Home Value in California, United States via Machine Learning Modeling

Huang

2019

Stat., optim. inf. comput.

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“…When the increased circuit delay exceeds the clock period, the degraded circuit will fail to work. Therefore, the aging effect needs to be taken into account in circuit timing simulations, especially for those high-reliability applications like aviation, space, automotive [12], medical [13][14][15][16][17], data center [18], and so on.…”

Section: High-dimensional Parameter Space In Aging-aware Standard Celmentioning

confidence: 99%

Multivariate Adaptive Regression Splines in Standard Cell Characterization for Nanometer Technology in Semiconductor

Liu¹

2018

Topics in Splines and Applications

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Multivariate adaptive regression splines (MARSP) is a nonparametric regression method. It is an adaptive procedure which does not have any predetermined regression model. With that said, the model structure of MARSP is constructed dynamically and adaptively according to the information derived from the data. Because of its ability to capture essential nonlinearities and interactions, MARSP is considered as a great fit for high-dimension problems. This chapter gives an application of MARSP in semiconductor field, more specifically, in standard cell characterization. The objective of standard cell characterization is to create a set of high-quality models of a standard cell library that accurately and efficiently capture cell behaviors. In this chapter, the MARSP method is employed to characterize the gate delay as a function of many parameters including process-voltagetemperature parameters. Due to its ability of capturing essential nonlinearities and interactions, MARSP method helps to achieve significant accuracy improvement.

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“…In an attempt to understand the role of individual innovativeness in the acceptance of IT-based innovations, Fiedler and Park (2006) illustrate the relationship among innovativeness, innovation characteristics and behavioural intention (see Figure 1) [60].…”

Section: Background 21 Model 1: An Alternative Theoretical Model Of mentioning

confidence: 99%

“…Alibaba, on the other hand, spent only $769 million on capital expenditure in the fiscal year of 2014 (China Internet Watch, 2014). Since Alibaba's capital expenditure is primarily on its technological platforms, it is much lower than that of Amazon [59].…”

Section: Introductionmentioning

confidence: 99%

SEM Statistical Analyses in Management Strategies

Ren¹,

Zeng²,

Wu³

et al. 2017

IJDMS

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This paper was to analyse what factors will affect online shoppers' purchase intention in the e-business environment. This paper discussed a number of conceptual models and following hypotheses. Two typical e-business companies (Alibaba and Amazon) were ideal comparative analysis models. Structural Equation Modelling (SEM) and the factor analysis were adopted for statistical and empirical analyses. The results showed highly positive correlations among the identified factors. The factors indicated a large innovative performance influence. The factors also verified the huge impact in the sustain ability development. These results may provide some vision on how e-business companies can win a competition and increase their profit.

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Design of Low Power Medical Device

Abstract: ABSTRACT

Cited by 7 publications

References 3 publications

Predicting Home Value in California, United States via Machine Learning Modeling

Predicting Home Value in California, United States via Machine Learning Modeling

Multivariate Adaptive Regression Splines in Standard Cell Characterization for Nanometer Technology in Semiconductor

SEM Statistical Analyses in Management Strategies

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