Results 81 to 90 of about 708,924 (281)

Two Types of Distributed CFAR Detection Based on Weighting Functions in Fusion Center for Weibull Clutter

open access: yesJournal of Engineering, 2013
Two types of distributed constant false alarm rate (CFAR) detection using binary and fuzzy weighting functions in fusion center are developed. In the two types of distributed detectors, it was assumed that the clutter parameters at the local sensors are ...
Amir Zaimbashi
doaj   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

open access: yesFEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

From Centralized Data Fusion to Hard- and Soft-Decision Fusion in Multisensor Distributed Detection Systems a New Multiple-Bit Decision Fusion Approach

open access: yesIEEE Access
We consider multisensor distributed detection systems with data fusion which consist of a number of distributed local sensors and a data fusion center.
Ashraf M. Aziz
doaj   +1 more source

The Asynchronous Training Algorithm Based on Sampling and Mean Fusion for Distributed RNN

open access: yesIEEE Access, 2020
Training of large scale deep neural networks with distributed implementations is an effective way to improve the efficiency. However, high network communication cost for synchronizing gradients and parameters is a major bottleneck in distributed training.
Dejiao Niu   +3 more
doaj   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

k-medoids-Trust-Based Distributed H Fusion Filtering Method [PDF]

open access: yesJisuanji gongcheng
To address the issues during system state estimation in the presence of node failures or anomalies in Wireless Sensor Networks (WSNs), a k-medoids-trust-based distributed H∞ fusion filtering method is proposed to improve the robustness and accuracy of ...
ZHU Hongbo, GAO Yanshen
doaj   +1 more source

Distributed Fusion Kalman Self-turning Filter

open access: yesProceedings of the 2nd International Conference On Systems Engineering and Modeling, 2013
This paper puts forward an optimal and distributed fusion Kalman filter based on the Riccati equation, optimal and distributed fusion The Kalman filter has fewer calculated dimensions and less calculated amount than the centralized global optimal Kalman filter. Therefore, it has greater effect in the practice.
openaire   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

open access: yesMolecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak   +4 more
wiley   +1 more source

Optimally Distributed Kalman Filtering with Data-Driven Communication

open access: yesSensors, 2018
For multisensor data fusion, distributed state estimation techniques that enable a local processing of sensor data are the means of choice in order to minimize storage and communication costs.
Katharina Dormann   +2 more
doaj   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

open access: yesMolecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken   +7 more
wiley   +1 more source

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