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Low dose computed tomography (LDCT) is desirable for both diagnostic imaging and image guided interventions. Denoisers are openly used to improve the quality of LDCT. Deep learning (DL)-based denoisers have shown state-of-the-art…

Image and Video Processing · Electrical Eng. & Systems 2020-12-08 Ti Bai , Biling Wang , Dan Nguyen , Bao Wang , Bin Dong , Wenxiang Cong , Mannudeep K. Kalra , Steve Jiang

The present work describes a website designed for remote teaching of optical measurements using lasers. It enables senior undergraduate and postgraduate students to learn theoretical aspects of the subject and also have a means to perform…

Physics Education · Physics 2018-03-02 Veena Singh , Richa Dubey , P. K. Panigrahi , K. Muralidhar

KLOE, a new state of the art detector recently commissioned for physics operation at DAFNE, has many innovative interesting features, especially in the DAQ and Trigger areas. Custom electronics assert a trigger in a 2 microseconds decision…

High Energy Physics - Experiment · Physics 2012-08-27 The KLOE Collaboration

The new Data Acquisition system for the gravitational wave detector AURIGA has been designed from the ground up in order to take advantage of hardware and software platforms that became available in recent years; namely, i386 computers…

Instrumentation and Detectors · Physics 2007-05-23 A. Ceseracciu , G. Vedovato , A. Ortolan

In high energy physics experiments (HEP), high speed and fault resilient data communication is needed between detectors/sensors and the host PC. Transient faults can occur in the communication hardware due to various external effects like…

Instrumentation and Detectors · Physics 2015-04-01 Swagata Mandal , Suman Sau , Amlan Chakrabarti , Subhasis Chattopadhyay

Artificial visual attention systems aim to support technical systems in visual tasks by applying the concepts of selective attention observed in humans and other animals. Such systems are typically evaluated against ground truth obtained…

Computer Vision and Pattern Recognition · Computer Science 2013-08-01 Jan Tünnermann , Markus Hennig , Michael Silbernagel , Bärbel Mertsching

No-Reference Image Quality Assessment (NR-IQA), responsible for assessing the quality of a single input image without using any reference, plays a critical role in evaluating and optimizing computer vision systems, e.g., low-light…

Computer Vision and Pattern Recognition · Computer Science 2025-02-24 Yi Yu , Song Xia , Xun Lin , Wenhan Yang , Shijian Lu , Yap-peng Tan , Alex Kot

Iterative linear quadratic regulator (iLQR) has gained wide popularity in addressing trajectory optimization problems with nonlinear system models. However, as a model-based shooting method, it relies heavily on an accurate system model to…

Machine Learning · Computer Science 2022-09-16 Zilong Cheng , Yulin Li , Kai Chen , Jun Ma , Tong Heng Lee

Circulatory system abnormalities might be an indicator of diseases or tissue damage. Early detection of vascular abnormalities might have an important role during treatment and also raise the patient's awarenes. Current detection methods…

Computer Vision and Pattern Recognition · Computer Science 2023-09-07 Ayse Altay , Abdurrahman Gumus

The Time-of-Flight system is a proposed addition to the STAR detector currently installed at RHIC. The proposal is based on a new technology called the Multi-gap Resistive Plate Chamber (MRPC), and consists of approximately 23,000 channels…

Nuclear Experiment · Physics 2007-05-23 Joachim Schambach

Some preliminary thoughts on how to design and develop the DAQ architecture for the Silicon tracking system at the future Linear electron positron collider, are briefly presented here. The proposed structure includes three DAQ levels. The…

'EPECUR' experiment setup is under construction at the beam line 322 of the ITEP proton synchrotron. The experiment requires several large area drift chambers to provide reasonable acceptance and fine pitch proportional chambers for beam…

The FemtoDAQ is a low-cost two channel data acquisition system which we have used to investigate the signal characteristics of silicon photomultipliers (SiPMs) coupled to fast scintillators. The FemtoDAQ system can also be used to…

Instrumentation and Methods for Astrophysics · Physics 2017-08-02 Wojtek Skulski , Andreas Ruben , Segev BenZvi

The strong coupling between individual optical emitters and propagating surface plasmons confined to a conducting nanotip make this system act as an ideal interface for quantum networks, through which a stationary qubit and a flying photon…

Quantum Physics · Physics 2008-12-05 Fang-Yu Hong , Shi-Jie Xiong

The integrated low-level trigger and data acquisition (TDAQ) system of the NA62 experiment at CERN is described. The requirements of a large and fast data reduction in a high-rate environment for a medium-scale, distributed ensemble of many…

Self-supervised methods based on contrastive learning have achieved great success in unsupervised visual representation learning. However, most methods under this framework suffer from the problem of false negative samples. Inspired by the…

Computer Vision and Pattern Recognition · Computer Science 2023-11-20 Chen Peng , Xianzhong Long , Yun Li

Decoded Quantum Interferometry (DQI) is a recently proposed quantum algorithm for approximating solutions to combinatorial optimization problems by reducing instances of linear satisfiability to bounded-distance decoding over superpositions…

Quantum cloud platforms have scaled hardware capacity but not the abstraction exposed to users: small programs still monopolise entire processors, and existing Quantum Virtual Machine (QVM) designs often rely on fixed, topology-specific…

Quantum Physics · Physics 2026-04-02 Shusen Liu , Pascal Jahan Elahi , Ugo Varetto

The Smart Driving Skill Evaluation (SDSE) System presented in this paper expedite the testing of candidates aspiring for a driving license in a more efficient and transparent manner, as compared to the present manual testing procedure…

Computers and Society · Computer Science 2013-08-19 Mohit John , Arun JosephPalai

Unsupervised 3D object detection serves as an important solution for offline 3D object annotation. However, due to the data sparsity and limited views, the clustering-based label fitting in unsupervised object detection often generates…

Computer Vision and Pattern Recognition · Computer Science 2025-03-14 Qiming Xia , Wenkai Lin , Haoen Xiang , Xun Huang , Siheng Chen , Zhen Dong , Cheng Wang , Chenglu Wen