Results 91 to 100 of about 169,139 (307)

Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method [PDF]

open access: yes, 2011
We propose a non-hierarchical decentralized algorithm for the asymptotic minimization of possibly time-varying convex functions. In our method, each agent in a network has a private, local (possibly time-varying) cost function, and the objective is to ...
Renato L. G. Cavalcante   +11 more
core   +1 more source

Collaborative Spectrum Sensing Based on Distributed Adaptive Filtering

open access: yesIEEE Open Journal of the Communications Society
Spectrum sharing technology can reduce the problem of limited spectrum resources failing to meet the demands of multiple users, and it is one of the important topics in effectively integrating existing communication technologies with the sixth-generation
Siyu Xie   +5 more
doaj   +1 more source

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

open access: yesMolecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan   +16 more
wiley   +1 more source

Investigating the memory requirements for publish/subscribe filtering algorithms

open access: yes, 2005
Various filtering algorithms for publish/subscribe systems have been proposed. One distinguishing characteristic is their internal representation of Boolean subscriptions: They either require conversions to disjunctive normal forms (canonical approaches)
Bittner, Sven, Hinze, Annika
core  

Reliable H∞ filtering for discrete time-delay systems with randomly occurred nonlinearities via delay-partitioning method

open access: yes, 2011
The official published version can be found at the link below.In this paper, the reliable H∞ filtering problem is investigated for a class of uncertain discrete time-delay systems with randomly occurred nonlinearities (RONs) and sensor failures. RONs are
Liu, Y   +5 more
core   +1 more source

Distributed sensor fusion estimation algorithms based on Kalman Filtering [PDF]

open access: yesITM Web of Conferences
Efficient distributed sensor fusion is critical for reliable state estimation in applications such as autonomous vehicles, robotics, and environmental monitoring.
Ni Si
doaj   +1 more source

Cell‐cycle‐specific lesion evolution rather than inhibition of double‐strand‐break repair underpins cisplatin radiosensitization

open access: yesMolecular Oncology, EarlyView.
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu   +10 more
wiley   +1 more source

Design and analysis of an efficient distributed event notification service

open access: yes, 2004
Event Notification Services (ENS) use the publish/subscribe paradigm to continuously inform subscribers about events they are interested in. Subscribers define their interest in so-called profiles.
Bittner, Sven, Hinze, Annika
core  

Distributed angle‐only orbit determination algorithm for non‐cooperative spacecraft based on factor graph

open access: yesIET Radar, Sonar & Navigation
Bayesian filtering provides an effective approach for the orbit determination of a non‐cooperative target using angle measurements from multiple CubeSats.
Zhixun Zhang   +4 more
doaj   +1 more source

Distributed Box Particle Filtering for Target Tracking in Sensor Networks

open access: yesInternational Journal of Distributed Sensor Networks, 2015
Distributed target tracking is a significant technique and is widely used in many applications. Combined with the interval analysis, box particle filtering (BPF) has been proposed to solve the problem of Bayesian filtering when the uncertainties in the ...
Ying Liu, Hao Liu
doaj   +1 more source

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