To date, most analysis of collaboration between malware authors has been performed on meta-data and compiled binaries, while ignoring artifacts...
Read more arrow_right_altSentence transformers’ job is to convert pieces of text into embedded vectors, where similar (dissimilar) pieces of text have spatially...
Read more arrow_right_altSmartphones and mobile applications are staple tools in the operation of current-age public demonstrations, where they support organizers and participants...
Read more arrow_right_altFederated Learning (FL) permits different parties to collaboratively train a global model without disclosing their respective local labels. A crucial...
Read more arrow_right_altThe rising popularity of Vehicle-to-Network (V2N) applications is driven by the Ultra-Reliable Low-Latency Communications (URLLC) service offered by 5G. The...
Read more arrow_right_altThe Metaverse is a virtual world that is becoming increasingly popular. Recent technological advances, such as head-mounted displays and novel...
Read more arrow_right_altThis paper investigates the accuracy and integrity of location data within the realm of Location-Based Mobile Marketing (LBMM). By analyzing...
Read more arrow_right_altZero-touch network management is essential for beyond 5G and 6G systems, requiring full automation through a closed loop of data...
Read more arrow_right_altThe ability to perform mobile traffic forecasting effectively with Deep Neural Networks (DNN) is instrumental to optimise resource management in...
Read more arrow_right_altMachine Learning (ML) models are widely used for cyberattack detection in Smart Grids (SG) based on Software-Defined Networks (SDN). However,...
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