PUF-Enabled Key-Exchange Protocol for Vehicular Ad-Hoc Networks
Published in: IEEE Transactions on Intelligent Transportation Systems
Dec 11, 2025
The Internet of Vehicles (IoV) enables data exchange among individuals, cloud resources, road infrastructures, and vehicles, interconnected through Vehicular Ad Hoc Networks (VANETs). VANETs comprise vehicles with Onboard Units (OBUs), Roadside Units (RSUs), and a Trusted Party Agent (TPA). The data transmission among these entities supports seamless interaction and collaborative traffic management. However, data transmission on public communication channels in VANETs presents significant chall...
EdgeAI-Powered Hybrid ESN-GRU Model for High-Accuracy and Efficient Short-Term Load Forecasting in Smart Grids
Published in: IEEE ACCESS
Dec 09, 2025
With the widespread use of renewable energy sources (RES) in the smart grid, the next generation power system, short-term load forecasting (STLF) is of critical importance in grid stability and energy optimization. Traditional STLF models include issues such as high computational cost, dependency on cloud infrastructure, and latency issues, which are undesirable for real-time energy management. To solve these issues, the EdgeAI paradigm, which combines edge computing and artificial intelligence...
Supervised methods of machine learning for email classification: a literature survey
Published in: Systems Science & Control Engineering
Nov 20, 2025
Muath AlShaikh
Yasser Alrajeh
Sultan Alamri
suhib melhem
Intoday’sdigital landscape,email isacknowledgedasacriticalconduitforglobaldataexchanges. Withasurgeindatavolume,malefactorsexploituseridentities,leadingtodatamisuse.Cybercriminalsemployelectronictransgressionssuchasphishingandspamtoorchestratesecurityinfractions. Machinelearningcountersthesebreachesusingmyriadtechniques,demonstratingsignificantefficiencyinidentifyingphishingemails.Wecandividemachinelearningintotwotypes:supervised andunsupervised.Supervisedlearningrequirespre-trainingthemodelonl...
Advancing text summarization with specialized datasets: computer science and geography domains
Published in: Digital Scholarship in the Humanities
Nov 14, 2025
Huzaifa Bin Faheem
Aamir Wali
Saleha Muzammil
Haroon Mahmood
Summaira Sarfraz
Haya Asif
Automatic text summarization (ATS) has seen considerable development, but state-of-the-art models depend on vast training data, limiting their applicability in scholarly communication and digital knowledge management for technical and domain-specific texts where annotated datasets are scarce. This article addresses this critical gap. First, to create a controlled, data-constrained setting for study, we created two specialized datasets: CS-Summ and Geog-Summ, comprising 794 and 438 manually summ...