Evaluation of Composting and the Quality of Compost from the Source Separated Municipal Solid Waste by D Dadi, H Sulaiman, S Leta

“… The aerobic composting potential and quality of Source Separated Municipal Solid Waste (SSMSW) was studied using four different treatments for over 80 days. …”
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Improving the Performance of Individually Calibrated SSVEP Classification by Rhythmic Entrainment Source Separation by Wei Xu, Yufeng Ke, Dong Ming

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Research on multi-target recognition method based on WSN and blind source separation by Pengju HE, Gangyi LIU, Siyi LIU

Subjects: “…multi-target recognition,blind source separation (BSS)…”
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soundscape_IR: A source separation toolbox for exploring acoustic diversity in soundscapes by Yi‐Jen Sun, Shih‐Ching Yen, Tzu‐Hao Lin

“…However, assessing the diversity of animal vocalizations remains challenging due to the interference of environmental and anthropogenic noise. A tool for separating sound sources and delineating changes in acoustic signals is crucial for an effective assessment of acoustic diversity. …”
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Alfvén Waves from Interchange Reconnection at Separators as a Possible Source of Switchbacks by Dana Longcope, Philip Klaassen

“…These findings appear to support the plausibility of interchange reconnection as a possible source of switchbacks.…”
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APPLICATION OF COMPENSATION METHOD FOR SEPARATION USEFUL SIGNAL AND INTERFERENCE FROM NEARBY SOURCES by S. A. Ivanov, D. A. Savin

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Deep source separation of overlapping gravitational-wave signals and nonstationary noise artifacts by Niklas Houba

“…In this work, we present a deep learning-based framework for blind source separation in LISA data, employing an encoder-decoder architecture commonly used in digital audio processing to isolate individual signals within complex mixtures. …”
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Superresolution in separation estimation between two dynamic incoherent sources using spatial demultiplexing by Konrad Schlichtholz, Łukasz Rudnicki

“…Recently, it was shown that perfect measurement based on spatial mode demultiplexing (SPADE) in Hermite–Gauss modes allows one to reach the quantum limit of precision for estimation of separation between two weak incoherent stationary sources. …”
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Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect by Pubo Huang, Yu Wei

Subjects: “…nonlinear blind source separation…”
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EgoSep: Egocentric On-Screen Sound Source Separation for Real-Time Edge Computing by Donghyeok Jo, Jun-Hwa Kim, Jihoon Jeon, Chee Sun Won

“…Recent advancements in deep learning have enabled effective audio-visual sound source separation methods. Simultaneously, the increasing adoption of wearable devices capable of processing audio-visual information has further driven the demand for On-screen Sound source Separation (OSS), particularly in dynamic, egocentric scenarios. …”
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ANALYSIS METHOD AND PROCESS OPTIMIZATION OF VIBRATION SIGNAL IN PRECISION MILLING BASED ON BLIND SOURCE SEPARATION by GUO MiaoXian, HUANG Chao, GUO WeiCheng, WU ChongJun

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Research on Defrosting System of Air-source Heat Pump with Liquid Storage Gas-liquid Separator by Ma Longxia, Liu Zixuan, Wang Fenghao, Wang Zhihua, Lou Yechun

Subjects: “…air-source heat pump…”
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Nonlinear blind source separation algorithm based on spline interpolation and artificial bee colony optimization by Lei CHEN, Shi-zhong GAN, Li-yi ZHANG, Guang-yan WANG

Subjects: “…blind source separation…”
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Kernel-FastICA-Based Nonlinear Blind Source Separation for Anti-Jamming Satellite Communications by Xiya Sun, Changqing Li, Jiong Li, Qi Su

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A Robust Cross-Band Network for Blind Source Separation of Underwater Acoustic Mixed Signals by Xingmei Wang, Peiran Wu, Haisu Wei, Yuezhu Xu, Siyu Wang

Subjects: “…blind source separation…”
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Flow parsing as causal source separation allows fast and parallel object and self-motion estimation by Malte Scherff, Markus Lappe

“…Flow parsing is a process speculated to allow the brain’s sensitivity to optic flow to separate the causal sources of retinal motion in information due to self-motion and information due to object motion. …”
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A mammalian inferior colliculus model for sound source separation using interaural time differences. by Christian Leibold, Sebastian Groß

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Alterations in brain iron and myelination in children with ASD: A susceptibility source separation imaging study by Xiang Zhou, Ya‑Yin Deng, Long Qian, Shuang‑Shuang Zhong, Feng‑Yun Zou, Li‑Shan Shen, Xiao‑Wen Luo, Bo-Ya Yin, Yi-Fan He, Ruo‑Mi Guo

“…This study utilized an advanced susceptibility source separation technique, APART-QSM (iterAtive magnetic suscePtibility sources sepARaTion), to investigate brain iron and myelination alterations in children with ASD and link neuroimaging findings to clinical symptom severity. …”
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Separating Repeating Fast Radio Bursts Using the Minimum Spanning Tree as an Unsupervised Methodology by C. R. García, Diego F. Torres, Jia-Ming Zhu-Ge, Bing Zhang

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A Sparse Underdetermined Blind Source Separation Method and Its Application in Fault Diagnosis of Rotating Machinery by HongChao Wang, WenLiao Du

“…In some sense, the above two factors often cause the result that the fault diagnosis of rolling bearing is the problem of underdetermined blind source separation. The independence and non-Gaussian characteristic of the observed signals are the prerequisite of most of existent blind source separation methods. …”
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