Browsing by Title
Now showing items 3850-3869 of 53172
-
A battery health monitoring method using machine learning: A data-driven approach
( MDPI , 2020 , Article)Batteries are combinations of electrochemical cells that generate electricity to power electrical devices. Batteries are continuously converting chemical energy to electrical energy, and require appropriate maintenance to ... -
Battery status-aware authentication scheme for V2G networks in smart grid
(2013 , Article)Vehicle-to-grid (V2G) is emerging as an attractive paradigm in smart grid, and provides power and information services by periodically collecting power status of battery vehicles (BVs). During a BV's interaction with power ... -
Battery-Induced Load Hiding and Its Utility Consequences
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)The introduction of smart grids allows utility providers to collect detailed data about consumers, which can be utilized to enhance grid efficiency and reliability. However, this data collection also raises privacy concerns. ... -
Bayes Estimation of the Parameter of Burr Type II Distribution in Case of Type II Censoring
( Qatar University , 1997 , Article)Suppose that Xj, X2, ..., Xn is a random sample of failure times from a Burr type II (B2) distribution with parameter 9. Let x = (xj, x2, , xr) with xj < x2 S x3 < < xr be the observed failure censored sample of the first ... -
Bayesian Beamforming for Mobile Millimeter Wave Channel Tracking in the Presence of DOA Uncertainty
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)This paper proposes a Bayesian approach for angle-based hybrid beamforming and tracking that is robust to uncertain or erroneous direction-of-arrival (DOA) estimation in millimeter wave (mmWave) multiple input multiple ... -
Bayesian EWMA control charts based on Exponential and transformed Exponential distributions
( John Wiley and Sons Ltd , 2021 , Article)In this paper, we proposed the Bayesian exponentially weighted moving average (EWMA) control charts for mean under the nonnormal life time distributions. We used the time between events data which follow the Exponential ... -
Bayesian framework for fault variable identification
( Taylor and Francis Inc. , 2019 , Article)In most manufacturing processes, identifying the faulty process variables that may lead to process changes is crucial for quality engineers and practitioners. There are several parametric procedures for identifying faulty ... -
Bayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics
( Public Library of Science , 2013 , Article)Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve ... -
Bayesian inference for linear regression under alpha-skew-normal prior [Pentaabiran Bayesian untuk Model Regresi Linear Prior Normal-Pencong-Alfa]
( Penerbit Universiti Kebangsaan Malaysia , 2019 , Article)A study on Bayesian inference for the linear regression model is carried out in the case when the prior distribution for the regression parameters is assumed to follow the alpha-skew-normal distribution. The posterior ... -
Bayesian inference for Pr ( Y<X ) in the exponential distribution based on records
( Elsevier , 2014 , Article)We consider Bayesian estimation of the stress–strength reliability based on record values. The estimators are derived under the squared error loss function in the one parameter as well as two-parameter exponential ... -
Bayesian Monitoring of Linear Profiles Using DEWMA Control Structures with Random X
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)The process structures of manufacturing industry are efficiently modeled using linear profiles. Classical and Bayesian set-ups are two well-appreciated schemes for designing control charts for the monitoring of process ... -
Bayesian network and response surface methodology for prediction and improvement of bacterial metabolite production
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)The optimization of antifungal activity production by Bacillus amyloliquefaciens was carried out using Response Surface Methodology (RSM) in two steps. The first step involved the screening of cultural parameters affecting ... -
Bayesian network based heuristic for energy aware EEG signal classification
( SpringerLink , 2013 , Conference Paper)A major challenge in the current research of wireless electroencephalograph (EEG) sensor-based medical or Brain Computer Interface applications is how to classify EEG signals as accurately and energy efficient as possible. ... -
BCL-2 Inhibitor Venetoclax Induces Autophagy-Associated Cell Death, Cell Cycle Arrest, and Apoptosis in Human Breast Cancer Cells.
( Dove Medical Press , 2020 , Article)Venetoclax (VCX) is a selective BCL-2 inhibitor approved for the treatment of leukemia and lymphoma. However, the mechanisms of anti-cancer effect of VCX either as a monotherapy or in combination with other chemotherapeutic ... -
Beach tar contamination on the Qatari coastline of the Gulf
( Elsevier , 1999 , Article)Beach tar concentrations were measured along the Qatari coastlines. Tar concentrations, collected from 11 locations, varied in space and time with values ranging between 2 and 1132 g m−1 (average 290 g m−1) of beach front. ... -
Beamforming OFDM Performance under Joint Phase Noise and I/Q Imbalance
( IEEE , 2015 , Article)Phase noise (PHN) and in-phase/quadrature (I/Q) imbalance are two major RF impairments in direct-conversion wireless transceivers. Beamforming and orthogonal frequency division multiplexing (OFDM) schemes have been adopted ...
