explainable ai

Toward a General Theory of Technology: Technogenesis, Technological Membership, Dynamic Taxonomy, and Recursive Meta-Technology

Technology is studied through artifacts, techniques, infrastructures, knowledge systems, institutions, organizational arrangements, and sociotechnical systems, yet these traditions do not converge on a single operational architecture for determining when materially heterogeneous constructs belong to the technological d...

Structured PREreview of "Epidemiology and Antimicrobial Susceptibility Patterns of Staphylococcus aureus Isolates from Clinical Specimens at Meru Teaching and Referral Hospital, Kenya"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23111619. Does the introduction explain the objective of the research presented in the preprint? Yes Are the methods well-suited for this research? Somewhat inappropriate...

SYNERGISING FINITE ELEMENT METHODS WITH AI-DRIVEN PREDICTIVE RISK MODELS IN MANUFACTURING: A SYSTEMATIC REVIEW

Today's manufacturing industry is increasingly turning to simulation, sensing, and data-driven decisions, but these often do not converge into a single workflow. While the Finite Element Method (FEM) can give physically-based predictions of stress, strain, deformation and temperature, models with the high fidelity are...

Structured PREreview of "Epidemiology and Antimicrobial Susceptibility Patterns of Staphylococcus aureus Isolates from Clinical Specimens at Meru Teaching and Referral Hospital, Kenya"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23111619. Does the introduction explain the objective of the research presented in the preprint? Yes Are the methods well-suited for this research? Somewhat inappropriate...

Diagnostic accuracy of deep learning applied to liver MRI for hepatocellular carcinoma detection: a systematic review and HSROC meta-analysis of patient-level evidence

Liver MRI is central to non-invasive hepatocellular carcinoma (HCC) diagnosis. Deep learning (DL) is increasingly studied for detection and interpretation, but the maturity, transportability, and patient-level diagnostic evidence for these systems remain uncertain. We searched MEDLINE, Embase, and Web of Science from 2...

An intelligent cybersecurity framework for banking systems: integrating neural networks, large language models, and federated learning for anti-money laundering and fraud detection

The fraud of money laundering costs the global financial system USD 800 billion to USD 2 trillion annually, while digital banking contributes to the increasing number and complexity of money laundering transactions. If there are adversarial forces that are constantly adapting their approach to avoid complying with a co...

Evaluation of an Artificial Intelligence–Driven Language Model for Age-Specific Patient Education in Pediatric Orthopaedics

GenAI LLMs can generate age-specific explanations for common surgical procedures, treatments, and diagnostic markers in pediatric orthopaedics using an artificial intelligence language model based on the child's age.

Reframing epidemic early warning: toward AI-native decision intelligence for public health governance

This work proposes reframing early warning as the perceptual foundation of AI-native decision intelligence for public health governance, and introduces ACCESS—integrating situational sensing, cognitive reasoning, scenario simulation, collective coordination, explainable accountability, and adaptive evolution.

Artificial intelligence in higher education assessment as an ecosystem of pedagogy governance and legitimacy

Artificial intelligence (AI) is rapidly reshaping higher education assessment through applications such as automated feedback, adaptive testing, learning analytics, automated scoring, and generative support. Yet scholarship on AI-enabled assessment remains fragmented across technical, pedagogical, ethical, governance,...

Understanding the Root Cause of Transient Failures in NAND-Type 3D Flash Memory

NAND-type 3D Flash memory—built on vertically stacked memory cells to achieve higher storage density and enhanced performance—has become a foundational technology in modern data-storage systems and AI workloads. However, continued scaling to further increase density and improve device characteristics introduces subst...

Leveraging multi-dataset stacking ensemble for early screening autism spectrum disorder in adults with explainable AI

Explainable AI Insights into Gender-Associated Facial and Upper-Body Patterns in Public Speaking: An Exploratory Study

Gender differences in non-verbal public-speaking expressivity through Facial Action Unit (AU) statistics and upper-body posture and movement cues are investigated and postural and dynamic gender-associated patterns in public speaking are revealed.