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Fighting Fire with Fire: Combating Criminal Abuse of Cryptocurrency with a P2P Mindset
As part of the P2P sharing economy, cryptocurrencies offer both creative and criminal opportunities. To deal with offenders, solutions such as...
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Data Ingestion Validation Through Stable Conditional Metrics with Ranking and Filtering
We introduce an advanced method for validating data quality, which is crucial for ensuring reliable analytics insights. Traditional data quality...
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Statistical analysis and characterization of signaling and user traffic of a commercial multi-band LTE system
The fourth-generation (4 G) cellular network is currently the dominant mobile technology used worldwide. The analysis of the network behavior can...
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IoT traffic management using deep learning based on osmotic cloud to edge computing
IoT is critical in many application areas, such as smart cities, health care, and surveillance systems. Each application has its own QoS...
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Application of Deep Learning in the Classification of Maritime Safety Information
Maritime safety information (MSI) refers to urgent information concerning navigation warnings, weather warnings, weather forecasts, and other...
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LoRa interference issues and solution approaches in dense IoT networks: a review
Low Power Wide Area Networks (LPWAN) are prominent option of wireless communication technology for dense Internet of Things (IoT) applications. With...
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Making It Possible for the Auditing of AI: A Systematic Review of AI Audits and AI Auditability
Artificial intelligence (AI) technologies have become the key driver of innovation in society. However, numerous vulnerabilities of AI systems can...
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Post-quantum framework for authorized and secure communication in multi-server networking
Multi-server authentication, called single sign-on, enables users to easily access the necessary services from multiple servers with a single...
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The bundled task assignment problem in mobile crowdsensing: a lagrangean relaxation-based solution approach
This paper studies the Bundled Task Assignment Problem in Mobile Crowdsensing (BTAMC), a significant extension of the traditional Task Assignment...
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Automated photo filtering for tourism domain using deep and active learning: the case of Israeli and worldwide cities on instagram
Social media platforms like Instagram significantly influence tourists’ travel decisions by providing them with valuable insights, recommendations,...
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Optimization of LDPC-coded power series MIMO/FSO link with hybrid-SIM based on machine learning in satellite downlink for 5G and beyond applications
This study presents a thorough evaluation of satellite downlink performance in a Free Space Optics (FSO) system with a Low-Density-Parity-Check...
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A dynamic spectrum access algorithm based on deep reinforcement learning with novel multi-vehicle reward functions in cognitive vehicular networks
As a revolution in the field of transportation, the demand for communication of vehicles is increasing. Therefore, how to improve the success rate of...
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An energy-optimized green cooperative cognitive radio network for better spectrum sharing
Higher energy consumption and poor spectrum sharing were identified as the common problems in spectrum sharing at cognitive radio networks. So to...
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An energy-aware traffic offloading approach based on deep learning and optimization in massive MIMO
In the wireless communication, the shortage of bandwidth has motivated the investigation and study of the wireless access technology called massive...
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UAV flight path planning optimization
In modern warfare, the use of UAVs for reconnaissance, search and rescue missions is very common, and it is essential to plan the flight path of...
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Skyline-based Exploration of Temporal Property Graphs
In this paper, we focus on temporal property graphs, that is, property graphs whose labeled nodes and edges as well as the values of the properties...
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Comparing and Improving Active Learning Uncertainty Measures for Transformer Models by Discarding Outliers
Despite achieving state-of-the-art results in nearly all Natural Language Processing applications, fine-tuning Transformer-encoder based language...
