Results 61 to 70 of about 2,361,330 (284)
, 2017 The instantaneous underdetermined audio source separation problem of K-sensors, L-sources mixing scenario (where K < L) has been addressed by many different approaches, provided the sources remain quite distinct in the virtual positioning space spanned ...
Mitianoudis, Nikolaos, Sgouros, Thomas
core +1 more source
Sparse Sources Are Separated Sources
, 2006 Publication in the conference proceedings of EUSIPCO, Florence, Italy ...
openaire +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
Speech Separation Using Advanced Deep Neural Network Methods: A Recent Survey
Big Data and Cognitive ComputingSpeech separation, as an important research direction in audio signal processing, has been widely studied by the academic community since its emergence in the mid-1990s.
Zeng Wang, Zhongqiang Luo
doaj +1 more source
Applied Sciences, 2020 The Chinese government is committed to ensuring separation of municipal solid waste (MSW), promoting the integrated development of the MSW management system with the renewable resource recovery system, and achieving construction of ecological ...
Chunlin Xin +4 more
doaj +1 more source
Nutrient recovery technologies for management of blackwater: A review
Frontiers in Environmental Science, 2023 Nutrient recovery and recycling are of great importance in sustainable development. Blackwater (BW) refers to wastewater from toilets, which contains feces, urine, water, and toilet paper from flush toilets.
Xuemei Wang +8 more
doaj +1 more source
Underdetermined blind source separation based on Fuzzy C-Means and Semi-Nonnegative Matrix Factorization [PDF]
, 2012 Conventional blind source separation is based on over-determined with more sensors than sources but the underdetermined is a challenging case and more convenient to actual situation.
Alshabrawy, Ossama S. +3 more
core +1 more source
J. Mach. Learn. Res., 2004 A new algorithmic framework called denoising source separation (DSS) is introduced. The main benefit of this framework is that it allows for easy development of new source separation algorithms which are optimised for specific problems. In this framework, source separation algorithms are constucted around denoising procedures.
Särelä, Mr Jaakko, Valpola, Dr Harri
openaire +3 more sources
Multimodal blind source separation for moving sources [PDF]
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009 A novel multimodal approach is proposed to solve the problem of blind source separation (BSS) of moving sources. The challenge of BSS for moving sources is that the mixing filters are time varying, thus the unmixing filters should also be time varying, which are difficult to track in real time.
Syed M. Naqvi +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
wiley +1 more source