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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

K. Ahmed

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Open access Aug 2026

Detection of False Stealthy Data Injection Attacks in Smart Meters Using Machine Learning and Blockchain Technology

Despite the benefits associated with the use of smart meters in advanced metering infrastructure, the widespread deployment of such meters has introduced vulnerabilities that leave power systems susceptible to stealthy false data injection attacks which cannot be detected by conventional methods. In this paper, we pres...

Mohiuddin Mehedi, Abdul Aziz Kabir, K. Ahmed et al. · 0 citations
Open access Aug 2026

A hybrid deep learning framework for early detection and forecasting of financial crises in local government economies

BiTransAttnNet, a hybrid deep learning model for early detection and forecasting of local government financial crises, demonstrates strong generalization, robustness, and SHAP-based interpretability analysis of the original fiscal indicators, revealing that expenditure, fiscal revenue, and debt-related variables are th...

Mst Masuma Akter Semi, Md Masud Karim Rabbi, Md Asraful Islam et al. · 0 citations
Open access Sep 2026

WPIS: Machine Learning-Driven E-Commerce Churn Prediction Integrating Technical Metrics and Information Quality for Strategic MIS Decision Support

Results support the hypothesis that ensemble learning captures non-linear interactions between technical and information-quality dimensions, offering a reproducible, theoretically grounded foundation for data-driven MIS decision-making in digital commerce.

Mainul Islam Khan, Md Abutaher Dewan, K. Ahmed et al. · 0 citations
Open access Sep 2026

Cryptographically Secured Machine Learning for Resilient Multi-Tier Supply Chains

This work introduces a novel solution that utilizes cryptography and Artificial Intelligence (AI)-powered predictive modeling for the security of supply chain data and provides a more comprehensive security solution that extends cryptography for intermediary supply chain data, making it more secure and protected from p...

Alfaiz Madhiya, Vijay Solanki, K. Ahmed et al. · 0 citations
Open access Aug 2026

Predictive Analytics in Cloud-Native Privilege-Escalation Detection: Enhancing Accuracy Through Temporal Graph Attention and Reinforcement Learning

PEGraphSec-Net is introduced, a graph-theoretical framework for detecting privilege-escalation-relevant identity behavior, modeling cloud identity interactions as dynamic heterogeneous graphs of users, services, roles, tokens, and workloads and linking the model’s top-ranked traffic-level features back to the identity-...

M. Pranto, Md. Deluar Hossen, Mamunur R. Raja et al. · 0 citations
Open access Jul 2026

Transformer-Based Multimodal Intelligence for Software Defect Detection: A Cloud-Native LLM Framework with Explainable AI for Digital Infrastructure Maintenance

This paper presents a cloud-native, transformer-based multimodal intelligence framework that integrates Large Language Model semantic encoding with deep neural learning to enable automated defect prediction and proactive maintenance of large-scale digital infrastructure.

Mst Masuma Akter Semi, Md Masud Karim Rabbi, K. Ahmed et al. · 0 citations

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