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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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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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Hierarchical multi-granularity classification based on bidirectional knowledge transfer
Hierarchical multi-granularity classification is the task of classifying objects according to multiple levels or granularities. The class hierarchy...
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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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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...
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Towards Detection of DDoS Attacks in IoT with Optimal Features Selection
The exponential growth of internet-enabled devices and their interconnectedness heightens the vulnerability of technology to cyber threats. The...
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Exploiting smartphone defence: a novel adversarial malware dataset and approach for adversarial malware detection
Adversarial malware poses novel threats to smart devices since they grow progressively integrated into daily life, highlighting their potential...
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Skin Lesion Classification via ensemble method on deep learning
Deep neural networks have shown promising results in the classification of skin lesion images, particularly when they focus on the most significant...
