Results 31 to 40 of about 54,243 (312)

A risk function for behavioral disruption of Blainville’s beaked whales (Mesoplodon densirostris) from mid-frequency active sonar

, 2014
There is increasing concern about the potential effects of noise pollution on marine life in the world’s oceans. For marine mammals, anthropogenic sounds may cause behavioral disruption, and this can be quantified using a risk function that relates sound
Ashley Dilley, Neales, Bert, Jarvis, S, Thomas Len, Bert Neales, Dilley, Ashley, Harwood John, McCarthy, Elena, Jessica Shaffer, New, Leslie, Morrissey, Ronald, Moretti David, Leslie New, Marques, Tiago A., Moretti, David, Shaffer Jessica, Harwood, John, John Harwood, Marques, Tiago, Neales Bert, David Moretti, Susan Jarvis, Shaffer, Jessica, Morrissey Ronald, Tiago Marques, New Leslie, Mccarthy, E, Morrissey, Ron, Ronald Morrissey, Jarvis Susan, New, Leslie Frances, Len Thomas, Marques Tiago, Dilley Ashley, Elena McCarthy, Jarvis, Susan, McCarthy Elena, Thomas, Len   +37 more
core   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Active sonar target recognition method based on multi‐domain transformations and attention‐based fusion network

IET Radar, Sonar & Navigation
The classification and recognition of underwater targets by an active sonar system remain challenging and complex. Traditional methods have limited classification performance in time and spatially varying ocean channels.
Qingcui Wang, Shuanping Du, Wei Zhang, Fangyong Wang   +3 more
doaj   +1 more source

Investigation and Numerical Simulation of the Acoustic Target Strength of the Underwater Submarine Vehicle

Inventions, 2022
Modern weapon systems’ survival hinges on their detection capabilities more than anything else. In the active sonar equation, the acoustic target strength is crucial.
Kaveripakam Sathish, Rajesh Anbazhagan, Ravikumar Chinthaginjala Venkata, Fabio Arena, Giovanni Pau   +4 more
doaj   +1 more source

Thermoelectric Properties of a Diketopyrrolopyrrole Polymer With Radical Pending Units

Advanced Electronic Materials, EarlyView.
The successful incorporation of TEMPO radicals as side‐chain groups onto the conjugated backbone of an n‐type polymer significantly enhanced the doping efficiency of N‐DMBI via a hydrogen transfer doping mechanism. ABSTRACT Organic n‐type polymers usually suffer from relatively low electrical conductivity which hampers their application as an active ...
Jiang Jing, Qian Liu, Ilknur Hatice Eryilmaz, Loup Chopplet, Melissa Berteau‐Rainville, Marc Daniel Paulik, Zuchong Yang, Nicolas Battaglini, Vincent Noël, Benoit Piro, Tim Leydecker, Steven E. Bottle, Aung Ko Ko Kyaw, Christopher R McNeill, Giorgio Mattana, Prashant Sonar, Emanuele Orgiu   +16 more
wiley   +1 more source

Matched cross‐spectrum phase processing for source depth estimation in deep water

IET Radar, Sonar & Navigation
Zhou et al. (2022) proposed a method for instantaneous source depth estimation in deep water using matched beam intensity processing (MBIP) that leverages depth‐related oscillatory features arising from Lloyd's mirror interference in the frequency domain
Lisheng Zhou, Xiaohong Yang, Guangying Zheng, Fangwei Zhu, Fangyong Wang   +4 more
doaj   +1 more source

Simulated Research on Passive Sonar Range Using Different Hydrographic Conditions

MATEC Web of Conferences, 2015
As an example using the passive sonar, it calculated the quality factor of passive sonar using the sonar equation. The sound field was calculated under different depth and range using multiform hydrographic conditions.
Han Jing, Zhang XueGang, Meng ChunXia, Cao Feng   +3 more
doaj   +1 more source

Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body

Sensors, 2019
Auto-detecting a submerged human body underwater is very challenging with the absolute necessity to a diver or a submersible. For the vision sensor, the water turbidity and limited light condition make it difficult to take clear images.
Huu-Thu Nguyen, Eon-Ho Lee, Sejin Lee
doaj   +1 more source

Elevation Angle Estimations of Wide-Beam Acoustic Sonar Measurements for Autonomous Underwater Karst Exploration

Sensors, 2020
This paper proposes a solution for merging the measurements from two perpendicular profiling sonars with different beam-widths, in the context of underwater karst (cave) exploration and mapping.
Yohan Breux, Lionel Lapierre
doaj   +1 more source

Coupling of Dual Channel Waveform ALS and Sonar for Investigation of Lake Bottoms and Shore Zones

Remote Sensing, 2021
In this work, we proposed to include remote sensing techniques as a part of the methodology for natural lake bottom mapping, with a focus on the littoral zone.
Jarosław Chormański, Barbara Nowicka, Aleksander Wieckowski, Maurycy Ciupak, Jacek Jóźwiak, Tadeusz Figura   +5 more
doaj   +1 more source