Results 41 to 50 of about 99,057 (272)

A New Neutrosophic Approach of Wiener Filtering for MRI Denoising

open access: yesMeasurement Science Review, 2013
In this paper, a new filtering method based on neutrosophic set (NS) approach of wiener filter is presented to remove Rician noise from magnetic resonance image.
Mohan J., Krishnaveni V., Guo Yanhui
doaj   +1 more source

Automated Detection of Cancer Associated Genes Using a Combined Fuzzy-Rough-Set-Based F-Information and Water Swirl Algorithm of Human Gene Expression Data. [PDF]

open access: yesPLoS ONE, 2016
This study describes a novel approach to reducing the challenges of highly nonlinear multiclass gene expression values for cancer diagnosis. To build a fruitful system for cancer diagnosis, in this study, we introduced two levels of gene selection such ...
Pugalendhi Ganesh Kumar   +2 more
doaj   +1 more source

Set-membership PHD filter [PDF]

open access: yes, 2013
JRC.G.3-Maritime ...
Benavoli A., Papi F.
openaire   +1 more source

Inhibiting stearoyl‐CoA desaturase suppresses bone metastatic prostate cancer by modulating cellular stress, mTOR signaling, and DNA damage response

open access: yesFEBS Letters, EarlyView.
Bone metastasis in prostate cancer (PCa) patients is a clinical hurdle due to the poor understanding of the supportive bone microenvironment. Here, we identify stearoyl‐CoA desaturase (SCD) as a tumor‐promoting enzyme and potential therapeutic target in bone metastatic PCa.
Alexis Wilson   +7 more
wiley   +1 more source

State Estimation for Measurement-Saturated Memristive Neural Networks with Missing Measurements and Mixed Time Delays Subject to Cyber-Attacks: A Non-Fragile Set-Membership Filtering Framework

open access: yesApplied Sciences
This paper is concerned with the state estimation problem based on non-fragile set-membership filtering for a class of measurement-saturated memristive neural networks (MNNs) with unknown but bounded (UBB) noises, mixed time delays and missing ...
Ziyang Wang   +4 more
doaj   +1 more source

Low-Complexity Reduced-Rank Beamforming Algorithms [PDF]

open access: yes, 2013
A reduced-rank framework with set-membership filtering (SMF) techniques is presented for adaptive beamforming problems encountered in radar systems.
de Lamare, R. C., Wang, L.
core  

Aggressive prostate cancer is associated with pericyte dysfunction

open access: yesMolecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero   +11 more
wiley   +1 more source

Particle filter adaptation for distributed sensors via set membership [PDF]

open access: yes2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
A distributed set-membership-constrained particle filter (SMCPF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternatives, SMC-PF offers reduced overhead for inter-sensor communications because it requires only particle weights to be exchanged among sensors, instead of raw measurements or ...
Shahrokh Farahmand   +2 more
openaire   +1 more source

Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells

open access: yesMolecular Oncology, EarlyView.
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son   +13 more
wiley   +1 more source

Kalman Bucy Filtered Neuro Fuzzy Image Denoising for Medical Image Processing [PDF]

open access: yesNeutrosophic Sets and Systems
Neutrosophic sets (NS) have referred to as interval fuzzy sets applied in minimizing the uncertainty and fuzziness in computer-vision and machine-learning communities and hence employed for several applications.
Mohanapriya G   +3 more
doaj   +1 more source

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