Results 121 to 130 of about 1,494,076 (289)
Robust estimation of dimension reduction space [PDF]
Most dimension reduction methods based on nonparametric smoothing are highly sensitive to outliers and to data coming from heavy-tailed distributions. We show that the recently proposed methods by Xia et al.
Pavel Cizek, Wolfgang Härdle
core
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
A Robust Recursive State Estimation Method for Uncertain Linear Discrete-Time Systems
This study presents a robust estimation approach for linear discrete-time systems subject to parametric uncertainties. To address model mismatch, the proposed method enhances the MHE framework, thereby improving estimation accuracy.
Jiehui Gao, Huabo Liu
doaj +1 more source
Robust adaptive quantum phase estimation
Quantum parameter estimation is central to many fields such as quantum computation, communications and metrology. Optimal estimation theory has been instrumental in achieving the best accuracy in quantum parameter estimation, which is possible when we ...
Shibdas Roy +2 more
doaj +1 more source
Robust Estimation of Some Nonregular Parameters [PDF]
This paper develops optimal estimation of a potentially nondifferentiable functional Г(β) of a regular parameter β, when Г satisfies certain conditions.
Kyungchul Song
core
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani +6 more
wiley +1 more source
In this paper, an information-theoretic and statistical viewpoint of distributed estimation problem is considered as the contribution of the work. So, a novel minimum information-theoretic disturbance diffusion least-mean-square (LMS) algorithm is ...
Hadi Zayyani +3 more
doaj +1 more source
Sustainable bioplastics manufacturing from renewable sources
Bioplastics are manufactured by using polymers from different bio‐based sources. These novel materials not only offer biodegradability but also possess various functional properties that make them suitable for diverse applications. Recent developments in the preparation of bioplastics are reported, highlighting the distinct properties of each type of ...
C. Valeria L. Giosafatto +6 more
wiley +1 more source
Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley +1 more source
Robust adaptive efficient estimation for semi-Markov nonparametric regression models
We consider the nonparametric robust estimation problem for regression models in continuous time with semi-Markov noises. An adaptive model selection procedure is proposed.
Barbu, Vlad +2 more
core

