activity
20142026
most citedA Model-Driven Approach to Machine Learning and Software Modeling for the IoT

37 citations · 73 across the 19 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.DC2025

Fully Decentralised Consensus for Extreme-scale Blockchain

Siamak Abdi, Giuseppe Di Fatta, Atta Badii +1

Blockchain is a decentralised, immutable ledger technology that has been widely adopted in many sectors for various applications such as cryptocurrencies, smart contracts and suppl…

cs.DC2025

Blockchain Epidemic Consensus for Large-Scale Networks

Siamak Abdi, Giuseppe Di Fatta, Atta Badii +1

Blockchain is a distributed ledger technology that has applications in many domains such as cryptocurrency, smart contracts, supply chain management, and many others. Distributed c…

q-fin.ST2025★ 1 cited

Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis

Meet Satishbhai Sonani, Atta Badii, Armin Moin

This paper presents a novel hybrid model that integrates long-short-term memory (LSTM) networks and Graph Neural Networks (GNNs) to significantly enhance the accuracy of stock mark…

cs.CR2025★ 1 cited

Enhancing SQL Injection Detection and Prevention Using Generative Models

Naga Sai Dasari, Atta Badii, Armin Moin +1

SQL Injection (SQLi) continues to pose a significant threat to the security of web applications, enabling attackers to manipulate databases and access sensitive information without…

physics.ao-ph2025

Using Generative Models to Produce Realistic Populations of UK Windstorms

Yee Chun Tsoi, Kieran M. R. Hunt, Len Shaffrey +3

This study evaluates the potential of generative models, trained on historical ERA5 reanalysis data, for simulating windstorms over the UK. Four generative models, including a stan…