Results 161 to 170 of about 2,091 (213)

Understanding Consumption of Illicit Drugs and New Psychoactive Substances in Australia by Triangulating Drug Checking and Wastewater‐Based Epidemiology

Drug Testing and Analysis, EarlyView.
First Australian study combining wastewater‐based epidemiology and drug checking, demonstrating how complementary data sources enhance monitoring of illicit drugs and emerging psychoactive substances during high‐use periods. ABSTRACT Consumption of psychotropic drugs is a major economic and public health challenge in Australia.
Muhammad Usman, Malcolm McLeod, Dhayaalini Nadarajan, Joseph Clokey, Pritesh Prasad, Rory Verhagen, Benjamin Tscharke, Maurizio Quinto, Richard Bade   +8 more
wiley   +1 more source

The segregation of Calb1, Calb2, and Prph neurons reveals distinct and mixed neuronal populations and projections to hair cells in the inner ear and central nuclei

Developmental Dynamics, EarlyView.
Three populations of hair cells have a distinct expression of Calb1 and Calb2. (A, A′D) The central is highly positive for Calb1 while surrounding HC are positive for Calb2. Later, a calyx forms primarily with Calb1. (B, B′, D′, D″) Saccule and utricle start out positive for Calb2 but will upregulate the Calb1 in the striola that is primarily forming ...
Jeong Han Lee, Ebenezer N. Yamoah, Jennifer Kersigo, Karen Elliott, Niya LaRoda, Gabriela Pavlinkova, Bernd Fritzsch   +6 more
wiley   +1 more source

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Ship detection with deep learning: a survey

Artificial Intelligence Review, 2023
Meng Joo Er
exaly   +2 more sources

Ship Detection in Satellite Optical Imagery

2020 3rd Artificial Intelligence and Cloud Computing Conference, 2020
Deep learning ship detection in satellite optical imagery suffers from false positive occurrences with clouds, landmasses, and man-made objects that interfere with correct classification of ships, typically limiting class accuracy scores to 88%. This work explores the tensions between customization strategies, class accuracy rates, training times, and ...
Benjamin Smith, Sean Chester, Yvonne Coady   +2 more
openaire   +1 more source

Ship Detection with Sar Based on Yolo

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Synthetic aperture radar (SAR) allows all-weather, day and night surveillance. Thus, it is of great significance for the ship detection and recognition. Because of the SAR special imaging mechanism, it is very difficult to extract the ship features with SAR image for the traditional target detection algorithm.
Shaobin Jiang, Mingcang Zhu, Yong He 0007, Zezhong Zheng, Fangrong Zhou, Guoqing Zhou 0001   +5 more
openaire   +1 more source

New method for ship detection

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
In this paper, a new method is proposed for ship detection based on generalized optimization of polarimetric contrast enhancement (GOPCE). Since the scattering coefficients of a sea area vary with local incident angle, pixels at different incident angles should be processed differently.
Jian Yang 0011, Wei Gao
openaire   +1 more source

Ship infrared detection/vulnerability [PDF]

SPIE Proceedings, 1993
The IR contrast of ships at sea is of importance for those who want to detect or identify the ship and for those who worry about this. This IR contrast is determined by a large number of parameters. Of course temperatures of the ship's structure and those of the ambient sea and air are important, but also important are the reflection properties of the ...
openaire   +1 more source

A Review on Object Detection Algorithms for Ship Detection

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021
Object recognition joins computer vision technique for spotting and tracking down objects in images and videos. This paper enlightens object recognition algorithms that are currently available. The algorithms analyzed include Multi-Input Convolutional Long Short Term Memory (Multi-Input convLSTM) and Rotational Libra Region Based Convolutional Neural ...
Safa Mohammed Sali, N L Manisha, Gnana King, K Vidya Mol   +3 more
openaire   +1 more source

Operational approach for ship detection and classification

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
The necessity to control all the activities within the marine environment is nowadays vital for most official authorities. Besides protecting the ecosystem and providing safety and surveillance along the transportation corridors, illegal immigration and sustainable economic activities are also issues to cover.
Gerard Margarit, Jordi J. Mallorquí
openaire   +1 more source

Ship detection in RADARSAT SAR imagery

SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 2002
An automatic detection model for ship targets in RADARSAT SAR images is being developed by using statistical methods, Radon transform and other image processing techniques. This paper presents current progress made on the detection model.
Qingshan Jiang, Shengrui Wang, Djemel Ziou, Ali El Zaart, Maria T. Rey, Goze B. Bénié, Michael Henschel   +6 more
openaire   +1 more source