Results 81 to 90 of about 12,418,444 (305)

Techno-economic analysis of carbon-based additives and process optimization for enhanced hydrogen production in integrated pyrolysis/gasification and carbon capture systems

Journal of CO2 Utilization
Overexploitation of fossil fuels leads to issues of energy security and environmental pollution. Integrating carbon capture and utilisation (CCU) with biomass and waste plastics pyrolysis/gasification offers a promising route for simultaneous hydrogen ...
Wenxin Lu, Yuxing Ding, Zhaoxi Dong, Xin Peng, Yue Chai, Dunfeng Xiao, Yurong Liu, Feng Qian, Iqbal M. Mujtaba   +8 more
doaj   +1 more source

Semi-Supervised Classification Based on Low Rank Representation

Algorithms, 2016
Graph-based semi-supervised classification uses a graph to capture the relationship between samples and exploits label propagation techniques on the graph to predict the labels of unlabeled samples.
Xuan Hou, Guangjun Yao, Jun Wang
doaj   +1 more source

Algorithms for ℓp Low Rank Approximation [PDF]

, 2017
We consider the problem of approximating a given matrix by a low-rank matrix so as to minimize the entry-wise ℓp-approximation error, for any P ≥ 1; the case p = 2 is the classical SVD problem.
Chierichetti, Flavio, Gollapudi, Sreenivas, Kumar, Ravi, Lattanzi, Silvio, Panigrahy, Rina, Woodruff, David P.   +5 more
core  

Low-Rank Approximation of Tensors [PDF]

, 2015
28 pages, 5 ...
Friedland, Shmuel, Tammali, Venu
openaire   +2 more sources

Cerebrospinal Fluid Liquid Biopsy Enables Targeted Therapy Without Tissue Diagnosis in Pediatric Low‐Grade Gliomas With BRAF V600E Mutation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We present two pediatric cases of pediatric low‐grade gliomas (PLGG) with BRAF V600E mutations diagnosed and monitored using cerebrospinal fluid (CSF) liquid biopsy analyzed via digital droplet PCR (ddPCR), without tissue biopsy. Both patients were treated with dabrafenib and trametinib and monitored through clinical assessments, magnetic ...
Hannah Sultan, Damien Faury, Alexander G. Weil, Harrison J. Westwick, Nada Jabado, Sébastien Perreault   +5 more
wiley   +1 more source

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

Design of Microwave-based Brain Tumor Detection Framework with the Development of Sparse and Low-Rank Compressive Sensing Image Reconstruction

International Journal of Technology, 2020
Cancer is one of the leading causes of death, and the brain is one of the body’s cancer-prone organs.  The early detection of brain tumors can reduce cancer risk, which is practically assisted and conducted using scanners such as computed ...
Hermawan Rahman Sholeh, Mia Rizkinia, Basari Basari   +2 more
doaj   +1 more source

Effect of -O- on Water Molecule Adsorption and Adsorption Mechanism of Lignite and Coke

Journal of Chemistry, 2021
The high moisture content of lignite restricts its extensive and efficient use. Furthermore, the reabsorption of lignite is also a factor that affects lignite spontaneous combustion. Therefore, it is of great importance to study the process and mechanism
Xue Bai, Yue Yin Song, Ying Yue Teng, Wen Lu Zhang, Yin Min Song, Yun Fei Wang   +5 more
doaj   +1 more source

On Low Rank-Width Colorings

European Journal of Combinatorics, 2017
17 pages, 2 ...
Kwon, O-joung, Pilipczuk, Michał, Siebertz, Sebastian   +2 more
openaire   +2 more sources

Large Margin Low Rank Tensor Analysis [PDF]

Neural Computation, 2014
We present a supervised model for tensor dimensionality reduction, which is called large margin low rank tensor analysis (LMLRTA). In contrast to traditional vector representation-based dimensionality reduction methods, LMLRTA can take any order of tensors as input.
Zhong, Guoqiang, Cheriet, Mohamed
openaire   +4 more sources