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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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An Improved Pelican Optimization Algorithm Based Residual Recurrent Neural Network for Channel Estimation with Hybrid Precoder in MIMO-OFDM System
Massive multiple input multiple output (MIMO) technology stands as a cornerstone in the evolution of 5G networks. Using an abundance of degrees of...
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Psychosocial factors that favor citizen participation in the generation of scientific knowledge
BackgroundCitizen participation in the generation of scientific knowledge is one of the major challenges facing science and technology systems. This...
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Toward fair graph neural networks via real counterfactual samples
Graph neural networks (GNNs) have become pivotal in various critical decision-making scenarios due to their exceptional performance. However,...
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Aspect-based drug review classification through a hybrid model with ant colony optimization using deep learning
The task of aspect-level sentiment analysis is intricately designed to determine the sentiment polarity directed towards a specific target within a...
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Advancing automotive high-performance computing: integrating direction API with LORA technology in unified machine vision for future smart cars
This manuscript addresses the challenges in develo** Automotive High-Performance Computing (HPC) systems for Future Smart Cars and Unmanned Mobile...
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Towards optimal score level fusion for adaptive multi-biometric authentication system
Multi-biometric authentication systems have been extensively investigated due to their merit over unimodal systems. Multi-biometric systems not only...
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Autonomous Landing of Unmanned Aerial Vehicles: Hybrid Metaheuristic Aided Detection and Extended Kalman Filter for Localization
The majority of uses for UAVs are in precision agriculture, cinematography, aerial surveillance, military applications, disaster relief, construction...
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Energy-efficient virtual machine placement in heterogeneous cloud data centers: a clustering-enhanced multi-objective, multi-reward reinforcement learning approach
Efficient virtual machine (VM) placement is vital for optimizing the performance of cloud data centers. While recent studies have addressed this...
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Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems
Coatis optimization algorithm (COA) has recently emerged as an innovative meta-heuristic algorithm (MA) for global optimization, garnering...
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Privacy-preserving cross-domain recommendation using hybrid federated transfer learning
Cross-domain recommender systems, which serve as a panacea to data sparsity and cold-start problems, are increasingly vital for providing...
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Vehicle-infrastructure cooperative 3D target detection based on Feature Prediction Atrous Spatial Pyramid Pooling Net
Due to wireless communication delays in actual Vehicle-Infrastructure Cooperation (VIC) data transmission, the misalignment in time and space of the...
