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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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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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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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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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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...
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Sequential framework for analyzing mobile click-through decision in online travel agency with user digital footprints
In the hotel booking market, high click-through rates are essential for online travel agencies (OTAs) to earn commissions. Given the dominance 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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Enhancing physical layer security via information hiding and chaotic frequency-hop** signal
With the development of super computation ability and invention of quantum computer, safeguarding network layer data confidentiality by computation...
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Combating Fake News Using Implementation Intentions
The rise of misinformation on social media platforms is an extremely worrisome issue and calls for the development of interventions and strategies to...
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Improving stock market prediction accuracy using sentiment and technical analysis
The utilization of sentiment analysis as a method for predicting stock market trends has gained significant attention recently, especially during...
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Joint resource and trajectory optimization for video streaming in UAV-based emergency indoor-outdoor communication
Due to its ability for flexible placement, the Unmanned Aerial Vehicle (UAV) has been widely utilized as an aerial relay to transmit the video...
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Exploiting Shared Sub-Expression and Materialized View Reuse for Multi-Query Optimization
Querying in isolation lacks the potential of reusing intermediate results, which ends up wasting computational resources. Multi-Query Optimization...
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Dissecting bias of ChatGPT in college major recommendations
Large language models (LLMs) such as ChatGPT play a crucial role in guiding critical decisions nowadays, such as in choosing a college major....
