Results 61 to 70 of about 199,738 (266)
A Method for Battery Health Estimation Based on Charging Time Segment
Energies, 2021 The problem of low accuracy and low convenience in the existing state of health (SOH) estimation method for vehicle lithium-ion batteries has become one of the important problems in the electric vehicle field.
Shao-Xun Liu +4 more
doaj +1 more source
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Two Stage Particle Filter for Nonlinear Bayesian Estimation
IEEE Access, 2018 The past several decades have witnessed the successful application of sequential Monte Carlo method (or particle filter) to a variety of fields. It has grown to be a popular method in solving different kinds of nonlinear Bayesian estimation problems ...
Fasheng Wang +3 more
doaj +1 more source
CoRR, 2013 A standard approach to approximate inference in state-space models isto apply a particle filter, e.g., the Condensation Algorithm.However, the performance of particle filters often varies significantlydue to their stochastic nature.We present a class of algorithms, called lattice particle filters, thatcircumvent this difficulty by placing the particles
Dirk Ormoneit +2 more
openaire +3 more sources
CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3
Molecular Oncology, EarlyView.PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh +12 more
wiley +1 more source
Particle Swarm Optimization Artificial Immune Particle Filter
工程科学与技术, 2013 :To solve the particle weights degradation and sample impoverishment problems in particle filter which was used in non-Gaussian nonlinear systems, a new kind of particle filter was proposed.
杜正聪, 冯大海, 牛高远
doaj
Deteksi dan Pelacakan Wajah Berdasarkan Warna Kulit Menggunakan Partikel Filter
Jurnal Rekayasa Elektrika, 2018 Face detection and tracking are one of the areas which always in progress in many applications such as security system, biometric and so on. However, face detection and tracking can become a complex problem when it is done in real time condition.
Budi Sugandi
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On coupling particle filter trajectories [PDF]
Statistics and Computing, 2017 Particle filters are a powerful and flexible tool for performing inference on state-space models. They involve a collection of samples evolving over time through a combination of sampling and re-sampling steps. The re-sampling step is necessary to ensure that weight degeneracy is avoided.
Deborshee Sen +2 more
openaire +3 more sources
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Analisis Metode Kalman Filter, Particle Filter dan Correlation Filter Untuk Pelacakan Objek
Komputika, 2023 Object tracking is a challenging in computer vision. Object tracking is divided into two, which can be one object or several objects, depending on the object being observed.
Ridho Sholehurrohman +2 more
doaj +1 more source