explainable ai

Digital Technology-Augmented Indigenous Knowledge Management: A Qualitative Exploration of Sustainable Competitiveness among Bamboo Craft MSMEs in Tasikmalaya, Indonesia

ABSTRACT Digital technologies are increasingly reshaping creative industries by expanding access to design references, market intelligence, external knowledge, and digital communication opportunities. However, limited attention has been given to how digital technologies interact with indigenous knowledge systems in tra...

Explainable AI-based deep learning for predicting soil dielectric and salinity properties using FTIR spectroscopy in gypsum-amended soils

Reimagining cardiometabolic health through artificial intelligence and digital health innovations

This comprehensive review evaluates the current landscape of digital health in cardiometabolic care and highlights the evolving capabilities of AI in outperforming traditional risk models, extracting high-dimensional patterns from multimodal data, and powering clinical decision support systems through electronic medica...

AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions

This review critically analyzes the cybersecurity research published over the past few years on cyber threats across the various layers of the IIoT architecture, publicly available cybersecurity datasets, evaluation practices, and AI-based intrusion detection methods to provide a pathway toward resilient, adaptive, and...

The Role of Academic Locus of Control and Technology Use in Predicting EFL Learners’ Language Learning Motivation

A conceptual framework that connects academic locus of control, technology use, and language learning motivation in the English as a foreign language context is proposed and argues that an internal orientation encourages the agentic behaviour through which learners seek out and continue using digital learning tools.

Artificial Intelligence Governance in Smart Government: Trend and Insight of Digital Inclusion, Transparency, and Public Service Transformation

Digital inclusion, smart cities, generative AI, citizen engagement, public service delivery, and digital governance emerged as prominent themes, whereas explainable AI, privacy, cybersecurity, and human-centered design remained peripheral.

Developing validity arguments for artificial intelligence-based assessment: Balancing affordances and threats.

Validity for AI-based assessment should be approached as ongoing governance of a sociotechnical system rather than one-time validation of a static instrument or assessment process, according to Kane's four inferences.

An Explainable Deep Learning Framework for Early Skin Cancer Detection Using Dermoscopic Image Analysis

Experimental results indicate that the proposed framework achieves high diagnostic accuracy while providing interpretable insights that assist dermatologists in understanding model predictions.

Relevance is not enough: A Communication-Oriented Retrieval System for Consequential Scientific Question Answering

This work focuses on consequential scientific questions whose results directly shape people's lives and study them through a public water-quality communication system, where residents and community leaders interpret the findings and choose actions.

From sensing to semantics: a comprehensive survey of AI-based animal behavior monitoring via pose estimation, behavior recognition, and UAV-enabled observation

This comprehensive review on animal behavior intelligent monitoring aims to systematically summarize the latest advanced technological frontiers of advanced artificial intelligence in animal behavior monitoring, also to identify the research challenges and explore future research directions in this field.

Prevalence of Small Fibre Pathology in Fibromyalgia: An Updated Systematic Review and Meta-Analysis Showing Increasing Heterogeneity

A pooled prevalence figure for small fibre pathology in fibromyalgia is therefore not currently interpretable; a standardised case definition is a prerequisite for meaningful synthesis.

CERVEX: A Foundation-Model Framework With Built-In Explainable AI for Automated Cervical Cytology Classification From Pap Smear Images

CERVEX enables auto- mated analysis of cervical cytology microscope fields by linking cell classification, computation-linked spatial evidence, and in- terpretable numerical morphology indices in one pipeline.