Results 121 to 130 of about 4,368,274 (347)

Enhanced LFR-toolbox for MATLAB and LFT-based gain scheduling [PDF]

, 2004
We describe recent developments and enhancements of the LFR-Toolbox for MATLAB for building LFT-based uncertainty models and for LFT-based gain scheduling.
Hecker, Simon, Magni, Jean-Francios, Varga, Andras   +2 more
core  

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

Scheduling and Codeword Length Optimization in Time Varying Wireless Networks

, 2006
In this paper, a downlink scenario in which a single-antenna base station communicates with K single antenna users, over a time-correlated fading channel, is considered.
Bayesteh, Alireza, Khandani, Amir K., Sadrabadi, Mehdi Ansari   +2 more
core   +5 more sources

Adaptive Fuzzy Gain Scheduling of PI Controller for Control of the Wind Energy Conversion Systems

, 2015
In this work, the Wind Energy Conversion Systems (WECS) based on doubly fed induction generator (DFIG) model is built. First, we consider the vector control strategy of the active and reactive powers in order to ensure an optimum operation.
K. Bedoud, M. Ali-rachedi, T. Bahi, R. Lakel   +3 more
semanticscholar   +1 more source

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

Molecular 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, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Energy-Efficient and Learning-Aware Edge Intelligence With Probabilistic Scheduling

IEEE Open Journal of the Communications Society
In edge intelligence networks, various applications exist based on different users and datasets. To realize intelligence, many works design various edge learning models to process these data.
Haihui Xie, Pingping Xu, Zhaogang Shu, Shuwu Chen, Changsheng You   +4 more
doaj   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

A Gain-Scheduling PI Control Based on Neural Networks

Complexity, 2017
This paper presents a gain-scheduling design technique that relies upon neural models to approximate plant behaviour. The controller design is based on generic model control (GMC) formalisms and linearization of the neural model of the process.
Stefania Tronci, Roberto Baratti
doaj   +1 more source

Energy Harvesting Cooperative Networks: Is the Max-Min Criterion Still Diversity-Optimal?

, 2014
This paper considers a general energy harvesting cooperative network with M source-destination (SD) pairs and one relay, where the relay schedules only m user pairs for transmissions.
Ding, Zhiguo, Poor, H. Vincent
core  

Gain scheduled flight control law for a flexible aircraft : A practical approach [PDF]

, 2007
Abstract: This paper presents a gain-scheduling method applied to flight control law design. The method is a stabilitypreservinginterpolation technique ofexisting controllers under observer-state feedback form.
Bérard, Caroline, Puyou, Guilhem
core