federated learning

code for Adaptive and Explainable Federated Learning Framework for Robust Intrusion Detection in Heterogeneous and Adversarial IoT Environments

Big Data and Artificial Intelligence for Fintech Innovation Systematic Literature Review

Big Data Analytics (BDA) and Artificial Intelligence (AI) have emerged as key drivers of fintech innovation, enabling financial institutions to improve operational efficiency, risk management, customer services, and data-driven decision making. However, the growing literature remains fragmented, highlighting the need f...

Digital Sustainability Intelligence and Social Media Analytics: A Bibliometric Analysis

The combination of artificial intelligence (AI) and social media analytics provides the means to recognize and predict sustainability-related trends from large volumes of publicly available user data. Its adoption, however, is constrained by concerns about privacy, ethics, and transparency. This bibliometric study anal...

Privacy‐Preserving Federated Deep Learning for 6G Network Security Monitoring

These findings demonstrate that the proposed framework provides accurate, secure, interpretable, and computationally efficient intrusion detection for privacy‐preserving 6G virtual network environments.

Development of a geographic information mapping and dynamic monitoring platform for multi-network data fusion

To address governance bottlenecks such as data silos and fragmented monitoring in the implementation of the "Ten Networks" strategy in Xinjiang's Kezhou Prefecture, and to facilitate digital transformation in border regions, this paper conducts research on multi-network data integration, geographic information mapping,...

Code and results for "Semantic Knowledge-Base Poisoning in AI-Native 6G: A Provenance-Based Meaning-Drift Audit for Trustworthy Federated Semantic Communication"

This record contains the complete, self-contained code and precomputed results accompanying the article "Semantic Knowledge-Base Poisoning in AI-Native 6G: A Provenance-Based Meaning-Drift Audit for Trustworthy Federated Semantic Communication." It reproduces every table and figure in the paper. The study introduces se...

Code and results for "Semantic Knowledge-Base Poisoning in AI-Native 6G: A Provenance-Based Meaning-Drift Audit for Trustworthy Federated Semantic Communication"

This record contains the complete, self-contained code and precomputed results accompanying the article "Semantic Knowledge-Base Poisoning in AI-Native 6G: A Provenance-Based Meaning-Drift Audit for Trustworthy Federated Semantic Communication." It reproduces every table and figure in the paper. The study introduces se...

XAI-Driven and Privacy-Preserving Federated Learning for Secure Intrusion Detection in 6G Fog-IoT Environments

The convergence of 6G radio access, software-defined fog infrastructure, and large-scale IoT deployments is reshaping a long-standing problem in network and service management: detecting intrusions close to where traffic originates, without exporting raw telemetry from the fog tier, and without turning the detector int...

NHS AI Readiness Landscape 2026

# Project Title: NHS AI Readiness - Scoping the State of the Nation ## Background and rationale Interest in artificial intelligence in healthcare is growing quickly, but we know little about how prepared United Kingdom (UK) National Health Service (NHS) organisations are to adopt it safely and at scale. National strate...

THE EL-RAKHAWI JUDICIAL SYSTEM UNIFIED COMPUTATIONAL JURISPRUDENCE FROM CRIMINAL PRINCIPLES TO INTEGRATED COMPUTATIONAL-LEGAL, ECONOMIC, AND PHYSICAL MODELS

The El-Rakhawi Judicial System establishes the definitive global standard for Computational Jurisprudence, transforming legal science from interpretive tradition to exact discipline. It integrates mathematical formalization, empirical validation, and culturally adaptive deployment to serve as a Justice Accelerator and...

Bibliometric Mapping of Cloud Linked Artificial Intelligence in the Internet of Things

The convergence of artificial intelligence (AI) and the Internet of Things (IoT) is increasing interest in how intelligence is distributed across cloud, edge, fog, and device layers. This study maps the 2020-2026 development of cloud-linked AI-IoT research using Scopus metadata. The reported Scopus query required AI or...

AI-Based Cybercrime Detection and Prevention System

digital services have expanded rapidly, and cybercrime has become one of the most pressing threats to secure online interaction. Traditional signature- and rule-based security tools are largely reactive, so they struggle to keep pace with newly evolving attacks such as phishing, malicious URL distribution, and identity...