Modulation classification plays a crucial role in advancing wireless communication research involving the recognition of various radio signals. Most existing neural network-based modulation classification methods rely...
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In this study, we created an Intelligent Geospatial Platform called GeoBeeDashboard. the GeoBeeDashboard combines advanced geospatial technologies and artificial intelligence (AI), allowing real-time data visualizatio...
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the proceedings contain 8 papers. the special focus in this conference is on AI and Multimodal Services. the topics include: XcepSENet: An Intelligent Yoga Pose Classification System Based on Mediapipe;arg-T5: A Multi...
ISBN:
(纸本)9783031776809
the proceedings contain 8 papers. the special focus in this conference is on AI and Multimodal Services. the topics include: XcepSENet: An Intelligent Yoga Pose Classification System Based on Mediapipe;arg-T5: A Multi-perspective Argument Generation Method Based on Debate Topic;MRCJE: A Machine Reading Comprehension Framework with Joint Coding for Emotion-Cause Pair Extraction;AI Value Protocol: Utilizing Blockchain to Promote AI AIVP;Enhancing Customer Sentiment Analysis: A Hybrid Approach Using VADER and Machine Learning Techniques;Flood Inundation Range Prediction Method Based on SRR-Informer.
the Internet became the platform for debates and expression of personal opinions on various subjects. Social media have assumed an important role as a tool for interaction and communication between people. To understa...
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the proceedings contain 14 papers. the special focus in this conference is on Security, Privacy, and Applied Cryptographic Engineering. the topics include: Spliced Region Detection and localization in Digita...
ISBN:
(纸本)9783031515828
the proceedings contain 14 papers. the special focus in this conference is on Security, Privacy, and Applied Cryptographic Engineering. the topics include: Spliced Region Detection and localization in Digital Images Based on CNN Learning Guided by Color Transitions and Surface Texture;UN-SPLIT: Attacking Split Manufacturing Using Link Prediction in Graph Neural networks;logarithmic-Size (Linkable) Ring Signatures from Lattice Isomorphism Problems;"We Must Protect the Transformers": Understanding Efficacy of Backdoor Attack Mitigation on Transformer Models;Token Open Secure and Post-quantum Updatable Encryption Based on MLWE;Zero-Knowledge Proofs for SIDH Variants with Masked Degree or Torsion;Post-quantum DNSSEC over UDP via QNAME-Based Fragmentation;cryptanalysis of Short and Provable Secure Lattice-Based Signature Scheme;Cryptanalysis with Countermeasure on the SIS Based Signature Scheme;vulnerability of Dynamic Masking in Test Compression;an Efficient Generic Insider Secure Signcryption with Non-Interactive Non-Repudiation;High-Order Collision Attack Vulnerabilities in Montgomery Ladder Implementations of RSA.
Nowadays, Big Data Analytics is gaining the momentum in boththe academic and industrial research communities. In this context, the issue of performing such a critical process under tight privacy-preservation constrai...
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Distributed energy resources (DERs), such as solar photovoltaic (PV) panels, are essential to modern energy systems, providing resilience and producing clean, local energy. However, their long-term performance is vuln...
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Pneumonia has been a concerning issue worldwide. this infectious disease has a higher mortality rate than Covid-19. More than two million individuals lost their lives in 2019 out of which almost 600,000 were infants l...
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Strong product is an important and effective method for designing a large-scale interconnection network by using several small networks. the large network contains these small networks as its subnetworks and retains m...
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作者:
Kedys, JulianTchappi, IgorNajjar, AmroAI-Robolab
ICR Departement of Computer Science University of Luxembourg Esch-sur-AlzetteL-4365 Luxembourg Poznan University of Technology
Faculty of Computing and Telecommunications Piotrowo 3 Poznan60-965 Poland
5 avenue des Hauts-Fourneaux Esch-sur-AlzetteL-4362 Luxembourg
the following research article constitutes a comprehensive review of state-of-the-art methodologies and problems addressed by current academic literature in the field of deploying autonomous Unmanned Aerial Vehicles (...
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