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Multi-Object Spectroscopy: Automatic Extraction and Previewing of Spectra
With multi-object spectroscopy becoming an integral part of modern astronomical instrumentation, the amount of such data in archives is bound to...
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ASTRO-WISE - An Astronomical Wide-Field Imaging System for Europe
With the new one square degree high resolution wide field imagers coming on-line in the near future, such as the 268 Mpix OmegaCAM at ESO’s VST and...
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To Creation of Virtual Radio Observatory
The approach to the creation of the virtual radio observatory in Russia is described. The proposed system is based on the system operating in the...
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Science Data Archives: Feedback Relations
SAO RAS archive consists from local archives that to receive observational data from diverse acquisition systems. To get access to observational data...
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The Digitized Hamburg Objective Prism Surveys
The digitized objective prism plates of the Hamburg Sky Surveys will be made available via the World-Wide Web, providing the raw data in FITS format...
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PRIME: A Deep Near-Infrared Survey Project
PRIME is a proposed space mission for a deep survey of 25% to 100% of the sky in four near-IR bands (0.9-3.5 μm), to M AB...
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A method for recognizing facial expression intensity based on facial muscle variations
Expression intensity recognition is a research problem in the field of computer vision and pattern recognition, which can be understood as the...
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Cyber intrusion detection using dual interactive Wasserstein generative adversarial network with war strategy optimization in wireless sensor networks
Wireless sensor network (WSN) is one of the essential components of a multi-hop cyber-physical system comprising many fixed or moving sensors. There...
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Dual strategy for single image denoising and generation using deep neural network
Removing noise in the real-world scenario has been a daunting task in the field of natural language processing. Research has shown that Deep Neural...
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Intelligent and efficient task caching for mobile edge computing
Given the problems with a centralized cloud and the emergence of ultra-low latency applications, and the needs of the Internet of Things (IoT), it...
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UDCT: lung Cancer detection and classification using U-net and DARTS for medical CT images
Lung cancer is the most fatal disease in recent times. Early detection of the same is very crucial and challenging task. Therefore, proper diagnostic...
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Multitask EfficientNet affective computing for student engagement detection
In the realm of education, feedback emerges as a pivotal component, serving to foster engagement and interaction while also facilitating the...
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Distributed neuro-fuzzy routing for energy-efficient IoT smart city applications in WSN
Wireless sensor networks (WSNs) enable seamless data gathering and communication, facilitating efficient and real-time decision-making in IoT...
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GSNR-aware resource re-provisioning for C to C+L-bands upgrade in optical backbone networks
Efficient network management in optical backbone networks is essential to manage continuous traffic growth. To accommodate this growth, network...
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A systematic review of factors, data sources, and prediction techniques for earlier prediction of traffic collision using AI and machine Learning
The prevalence of road traffic collisions is a pressing issue both worldwide and within the United States. The consequences of these incidents are...
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Research on a quantification model of online learning cognitive load based on eye-tracking technology
Online learning is characterized by a high degree of complexity and a wealth of information when compared to traditional classroom learning. This can...
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eFuseNet: A deep ensemble fusion network for efficient detection of Arrhythmia and Myocardial Infarction using ECG signals
Myocardial infarction (MI) and cardiac arrhythmias remain leading causes of mortality within cardiovascular diseases. Accurate and timely diagnosis...
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Designing interactive, gamified learning environments: a methodological approach with a case study on statistical quality control
Statistical Quality Control is a subject present in many engineering degrees. Literature identifies shortcomings in the application of Statistical...
