Results 11 to 20 of about 1,110,530 (285)
An Event Recognition Method for Φ-OTDR Sensing System Based on Deep Learning
Sensors, 2019 Phase-sensitive optical time domain reflectometer (Φ-OTDR) based distributed optical fiber sensing system has been widely used in many fields such as long range pipeline pre-warning, perimeter security and structure health monitoring.
Yi Shi, Yuanye Wang, Lei Zhao, Zhun Fan
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Multi-Modality Imaging: A Software Fusion and Image-Guided Therapy Perspective
Frontiers in Physics, 2018 With the introduction of computers in medical imaging, which were popularized with the presentation of Hounsfield's ground-breaking work in 1971, numerical image reconstruction and analysis of medical images became a vital part of medical imaging ...
Wolfgang Birkfellner +5 more
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Deepdive: A Learning-Based Approach for Virtual Camera in Immersive Contents
Virtual Reality & Intelligent Hardware, 2022 A 360° video stream provide users a choice of viewing one’s own point of interest inside the immersive contents. Performing head or hand manipulations to view the interesting scene in a 360° video is very tedious and the user may view the interested ...
Muhammad Irfan, Muhammad Munsif
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Human Mobility Monitoring in Very Low Resolution Visual Sensor Network
Sensors, 2014 This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 × 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power ...
Nyan Bo Bo +13 more
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Sensors, 2021 Yellow rust is a disease with a wide range that causes great damage to wheat. The traditional method of manually identifying wheat yellow rust is very inefficient.
Qian Pan +4 more
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Investigating the impact of image content on the energy efficiency of hardware-accelerated digital spatial filters [PDF]
, 2019 Battery-operated low-power portable computing devices are becoming an inseparable part of human daily life. One of the major goals is to achieve the longest battery life in such a device.
Badii, Atta, Raval, Rajkumar K.
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IEEE Access, 2021 In computer vision, traditional machine learning (TML) and deep learning (DL) methods have significantly contributed to the advancements of medical image analysis (MIA) by enhancing prediction accuracy, leading to appropriate planning and diagnosis ...
Siraj Khan +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 With the development of ship detection in optical remote sensing images, it is convenient to obtain accurate detection results and ship images. Owing to the superior performance of convolutional neural networks (CNNs), one way to acquire the category of ...
Jiawei Shi, Zhiguo Jiang, Haopeng Zhang
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Detection of Stomach Cancer by TV-Endoscope Colour Enhancement Image Processing [PDF]
, 2008 Using modern TV-endoscope equipment, we have experimented image processing in several ways. This time, we designed new image processing unit called “Color Subtracted Enhancement image processing unit”.
Masaki Miyamoto
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Assessment of eye fatigue caused by head-mounted displays using eye-tracking
BioMedical Engineering OnLine, 2019 Background Head-mounted displays (HMDs) and virtual reality (VR) have been frequently used in recent years, and a user’s experience and computation efficiency could be assessed by mounting eye-trackers.
Yan Wang +5 more
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