explainable ai

A Threat Modeling Prioritization and Automation Framework for Composable Architectures

A snapshot of the literature review of the threat modeling for composable architectures is offered, why automation is difficult in this context is shown, and an automation framework to allocate scarce resources according to risk exposure to composable architecture components is proposed.

AgentPort-Bench: A Controlled Seven-Framework Evaluation of Agentic AI Security Portability

Decentralized blockchain governance for explainable causal AI in macroeconomic forecasting

The increasing occurrence of structural breaks, financial crises, and economic uncertainty has significantly weakened the predictive performance of traditional macroeconomic forecasting models. In response to these limitations, this study proposes a blockchain-enabled causal machine learning framework designed to impro...

A mutually reinforcing pixel-level deep network-driven explainable AI for biofouling segmentation and structural health monitoring in marine environments

Marine biofouling is a disadvantage to submerged structures because it reduces the hydrodynamic efficiency, the structural integrity, and the operational costs, hence the necessity of conducting accurate inspection and monitoring as part of marine infrastructure management.. Although underwater imaging systems enable l...

Explaining Cross-National Variations in AI Policy Enactment: Indonesia, Finland, and South Korea

The development of artificial intelligence in education has outpaced the institutionalisation of policies governing its use, accountability, and implementation. Cross-national scholarship remains dominated by discussions of adoption, pedagogical opportunities, and ethical risks, while variation in policy enactment acro...

Responsible AI Governance for Vaccine Safety and Pharmacovigilance in Nigeria: A Policy Review of Risks, Regulatory Gaps, and Implementation Pathways

Modality and cultural tailoring in human–AI disaster communication: examining mechanisms and outcomes for Hispanic communities

Purpose This study examines how GenAI chatbots can support Hurricane preparedness among Hispanic/Latino communities by comparing combined audio-text delivery with text-only delivery and culturally tailored with generic content. It focuses on information overload and emotional attachment as cognitive and affective mecha...

The impact of deep learning and omics data in transforming precision therapy for brain cancer

This review highlights the potential of DL and multi-omics integration in advancing precision oncology for brain cancer by enhancing diagnostic precision, prognostic accuracy, and personalized therapy development.

Integration of multispectral imaging and explainable AI for alfalfa seed priming optimization under saline-alkali stress

Soil salinization poses an increasingly severe threat to sustainable agriculture globally, while conventional seed priming optimization remains time- and resource-intensive, limiting its widespread adoption. This study developed an innovative smart seed priming framework that seamlessly combined multispectral imaging t...

Deep Meta-Learner Stacking with Explainable AI for Vision-Based Plastic Waste Classification

This work introduced a vision-based waste classification system that relies on Deep Meta-Learner Stacking with Explainable AI (DMLSE) to merge the unique feature representations of a BasicCNN, VGG16, ResNet50V2, and MobileNetV2 across the synthetic, garbage, and waste classification datasets.

Editorial: Enhancing gait therapy with artificial intelligence: current trends and future prospects

Impaired mobility is among the most common impairments caused by neurologic, neurodegenerative, and orthopaedic disorders. Depending upon the cause being stroke, Parkinson's disease, spinocerebellar ataxia, or osteoarthritis needing arthroplasty, the disruption in gait and mobility causes dependency, increased risk of...

Smart Loyalty Programs and Consumer Retention in E-Commerce Platforms

Smart Loyalty Programs, Consumer Retention, E-Commerce, AI Personalisation, Gamification, Emotional Loyalty, Customer Lifetime Value, Structural Equation Modeling, Switching Cost, Reward Redemption ABSTRACT The evolution of loyalty programs from simple point-accumulation schemes to intelligent, technology-driven retent...