Results 71 to 80 of about 1,946,882 (294)
Information theoretic waveform design with applications to adaptive‐on‐transmit radar
IET Radar, Sonar & NavigationThe marginal Fisher information (MFI) metric is used to design waveforms for the sake of informationally optimal adaptive‐on‐transmit radar operation. A framework for MFI waveform design is developed and the Polyphase‐Coded FM (PCFM) waveform model is ...
Daniel B. Herr +2 more
doaj +1 more source
IET Computers & Digital Techniques, 2021 In recent years, approximate circuit design targeting the error‐tolerant applications has gained significance. In this study, the authors propose a metric that ranks a stand‐alone approximate adder in terms of power savings obtained for a given mean ...
Celia Dharmaraj +2 more
doaj +1 more source
A Survey of Forex and Stock Price Prediction Using Deep Learning
Applied System Innovation, 2021 Predictions of stock and foreign exchange (Forex) have always been a hot and profitable area of study. Deep learning applications have been proven to yield better accuracy and return in the field of financial prediction and forecasting.
Zexin Hu, Yiqi Zhao, Matloob Khushi
doaj +1 more source
The Pillai-Chowla Method for an Error Term in The Mean Square of δK(n)
The Nepali Mathematical Sciences Report, 2021 Available with fulltext.
Tadaaki Igawa +2 more
openaire +1 more source
Molecular Oncology, EarlyView.Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon +13 more
wiley +1 more source
Where Does Minimum Error Entropy Outperform Minimum Mean Square Error? A New and Closer Look
IEEE Access, 2018 The past decade has seen a rapid application of information theoretic learning (ITL) criteria in robust signal processing and machine learning problems. Generally, in ITL's literature, it is seen that, under non-Gaussian assumptions, especially when the ...
Ahmad Reza Heravi, Ghosheh Abed Hodtani
doaj +1 more source
A regression approach to zebra crossing detection based on convolutional neural networks
IET Cyber-systems and Robotics, 2021 Zebra crossing detection is a fundamental function of the electronic travel aid. It can locate the zebra crossing and estimate its direction to help the visually impaired to cross the road safely.
Xue‐Hua Wu, Renjie Hu, Yu‐Qing Bao
doaj +1 more source
Disease Mapping via Negative Binomial Regression M-quantiles [PDF]
, 2013 We introduce a semi-parametric approach to ecological regression for disease mapping, based on modelling the regression M-quantiles of a Negative Binomial variable. The proposed method is robust to outliers in the model covariates, including those due to
Chambers, Ray +2 more
core +1 more source
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
Comparing optimal convergence rate of stochastic mesh and least squares method for Bermudan option pricing [PDF]
, 2013 We analyze the stochastic mesh method (SMM) as well as the least squares method (LSM) commonly used for pricing Bermudan options using the standard two phase methodology.
Agarwal, Ankush, Juneja, Sandeep
core +1 more source