Results 111 to 120 of about 26,379,250 (355)
Measures of effectiveness for data fusion based on information entropy [PDF]
, 2000 This thesis is concerned with measuring and predicting the performance and effectiveness of a data fusion process. Its central proposition is that information entropy may be used to quantify concisely the effectiveness of the process.
Noonan, C.A., Noonan, Colin Anthony
core
Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods [PDF]
, 2005 Usual image fusion methods inject features from a high spatial resolution panchromatic sensor into every low spatial resolution multispectral band trying to preserve spectral signatures and improve spatial resolution to that of the panchromatic sensor ...
Fors Aldrich, Octavi +7 more
core +1 more source
Pixel Level Image Fusion using Fuzzylet Fusion Algorithm [PDF]
, 2013 Image fusion algorithms based on SWT (Stationary Wavelet Transform) and fuzzy logic were developed and demonstrated. It was observed that fusion using SWT with higher levels of decomposition provides better fusion results. Similarly, Fuzzy image fusion
Bindu, Elias, Naidu, VPS, Swathi, Nair
core
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
A common data fusion framework for space robotics: architecture and data fusion methods
, 2018 International audienceData fusion algorithms make it possible to combine data from different sensors into symbolic representations such as environment maps, object models, and position estimates.
Dominguez, Raúl +14 more
core +2 more sources
Shanghai Jiaotong Daxue xuebaoTo address the problems of low recognition accuracy and loss of feature information caused by shadows and uneven lighting in traditional clustering algorithms for bridge crack extraction, this paper proposes a bridge crack extraction method based on an ...
WEN Xialu, HUANG He, WANG Huifeng, GAO Tao
doaj +1 more source
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016 In this paper, we report the outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society.
A.-V. Vo +8 more
doaj +1 more source
Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source