EEG/ERP signal enhancement through an optimally tuned adaptive filter based on marine predators algorithm

2022 ◽  
Vol 73 ◽  
pp. 103427
Author(s):  
S. Yadav ◽  
S.K. Saha ◽  
R. Kar ◽  
D. Mandal
2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Papendra Kumar ◽  
H. S. Bhadauriya ◽  
Agya Ram Verma ◽  
Yatendra Kumar

2016 ◽  
Vol 544 ◽  
pp. 197-211 ◽  
Author(s):  
A Chin ◽  
MR Heupel ◽  
CA Simpfendorfer ◽  
AJ Tobin

2020 ◽  
Vol 635 ◽  
pp. 187-202
Author(s):  
T Brough ◽  
W Rayment ◽  
E Slooten ◽  
S Dawson

Many species of marine predators display defined hotspots in their distribution, although the reasons why this happens are not well understood in some species. Understanding whether hotspots are used for certain behaviours provides insights into the importance of these areas for the predators’ ecology and population viability. In this study, we investigated the spatiotemporal distribution of foraging behaviour in Hector’s dolphin Cephalorhynchus hectori, a small, endangered species from New Zealand. Passive acoustic monitoring of foraging ‘buzzes’ was carried out at 4 hotspots and 6 lower-use, ‘reference areas’, chosen randomly based on a previous density analysis of visual sightings. The distribution of buzzes was modelled among spatial locations and on 3 temporal scales (season, time of day, tidal state) with generalised additive mixed models using 82000 h of monitoring data. Foraging rates were significantly influenced by all 3 temporal effects, with substantial variation in the importance and nature of each effect among locations. The complexity of the temporal effects on foraging is likely due to the patchy nature of prey distributions and shows how foraging is highly variable at fine scales. Foraging rates were highest at the hotspots, suggesting that feeding opportunities shape fine-scale distribution in Hector’s dolphin. Foraging can be disrupted by anthropogenic influences. Thus, information from this study can be used to manage threats to this vital behaviour in the locations and at the times where it is most prevalent.


2014 ◽  
Vol 2 (3) ◽  
pp. 1-8
Author(s):  
Chinmay Chandrakar ◽  
◽  
Monisha Sharma ◽  

2013 ◽  
Vol 32 (7) ◽  
pp. 2078-2081
Author(s):  
Cheng-xi WANG ◽  
Yi-an LIU ◽  
Qiang ZHANG

2013 ◽  
Vol 34 (9) ◽  
pp. 2128-2134
Author(s):  
Di-jun Wu ◽  
Zhen-hai Xu ◽  
Zi-yuan Xiong ◽  
Liang Zhang ◽  
Shun-ping Xiao
Keyword(s):  

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