Results 221 to 230 of about 4,709,515 (265)

Agent‐Based Simulations of Lung Tumor Evolution Suggest That Ongoing Cell Competition Drives Realistic Clonal Expansions

Advanced Science, EarlyView.
Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan, James R. M. Black, Carlos Martínez‐Ruiz, Kristiana Grigoriadis, Jasmin Fisher, Nicholas McGranahan   +5 more
wiley   +1 more source

Data-Driven Health Prognostics of NMC Lithium-Ion Batteries via Impedance Spectroscopy Using a Hybrid CNN-BiLSTM Model. [PDF]

Sensors (Basel)
Liu Z, Fu K, Liao J, Stimming U, Guo D, Zhang Y.   +5 more
europepmc   +1 more source

Gradient boosting-based discrete failure time model for selecting time-varying effects and interactions. [PDF]

Lifetime Data Anal
Luo L, He K, Taylor JMG.
europepmc   +1 more source

A Low-Complexity Hall-Based Measurement System Implementing a Dark/Illuminated Differential Estimator for Majority-Carrier Photoconductive Screening in Doped <i>n</i>-Type Silicon. [PDF]

Materials (Basel)
Reyes-Durán B, Álvarez-Macías C, Salgado-Conrado L, Esmeralda-Gómez A, Tadeo-Rosas R.   +4 more
europepmc   +1 more source

Bound or unbound: mapping and monitoring receptor oligomerization by time-resolved fluorescence live-cell imaging. [PDF]

Front Mol Biosci
Greife A, Liu R, Köhler PS, Heinze KG, Hemmen K, Peulen TO.   +5 more
europepmc   +1 more source

A comparison of Kaplan-Meier-based inverse probability of censoring weighted regression methods. [PDF]

Lifetime Data Anal
Overgaard M.
europepmc   +1 more source

Quantum-inspired hybrid optimization framework for energy-efficient clustering and routing in wireless sensor networks. [PDF]

Sci Rep
Mahanta A, Gupta R, Manchanda R, Mehta A, Bhowmik A, Ashok N.   +5 more
europepmc   +1 more source

Remaining useful lifetime estimation and noisy gamma deterioration process

Reliability Engineering and System Safety, 2016
In many industrial issues where safety, reliability, and availability are considered of first importance, the lifetime prediction is a basic requirement. In this paper, by developing a prognostic probabilistic approach, a remaining lifetime distribution is associated to the system or component under consideration.
Khanh LE SON, Mitra Fouladirad, Anne Barros   +2 more
exaly   +5 more sources

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Generalized dilation convolutional neural networks for remaining useful lifetime estimation

Neurocomputing, 2021
Abstract In this paper, we present a novel approach for multivariate time series data analysis with special emphasis on industrial sensor data sets. The approach applies deep convolutional neural networks as a base architecture, incorporating a generalization of the dilated convolution operation on the receptive fields.
Andreas Schwung, Steven Ding, Gavneet Singh Chadha   +2 more
exaly   +2 more sources