Skip to content

Category

explainable ai

2,752 papers

#explainable ai Open access Oct 2026

Leakage-Conscious Machine Learning and MCDM Analysis of Y/Bi-Substituted Bi-2212 Ceramics

Y/Bi substitution in Bi-2212 ceramics produces a peaked mechanical response within a narrow composition window. This materials informatics study applies a compact, leakage-conscious machine-learning protocol to the published indentation dataset to recover and explain that compositional trend. The modelling table compri...

Nuri Alper METİN, Gülnur Kurtul · 0 citations
#explainable ai Oct 2026

Comparative Evaluation of Explainable AI Techniques for Histopathology-Based Cancer Detection Using Deep Learning

The analysis of histopathological images is an important method of diagnosing cancer. Deep learning models, such as convolutional neural networks and transformer-based models have demonstrated great potential in automated cancer detection. However, they are black-box and cannot be understood in a clinical context. In t...

Anandhi K., Krithiga T. · 0 citations
#explainable ai Open access Oct 2026

Computational Chemical Engineering Explained: Models & Simulation

Computational Chemical Engineering Explained: Models & Simulation serves as an open educational resource (OER) curriculum framework and foundational reference manual connecting first-principles transport phenomena, numerical methods, and modern data-driven architectures to chemical process design and control. Developed...

Prep4Uni.Online · 0 citations
#explainable ai Review Open access Oct 2026

Toward an integrative theoretical model of AI-supported cybersecurity governance and organizational resilience

Artificial intelligence (AI) increasingly supports cybersecurity work through risk scoring, anomaly detection, alert triage, vulnerability prioritization, threat-intelligence enrichment, and incident-response assistance. Existing research explains important aspects of technical performance, responsible AI, cybersecurit...

Irlenys Josefina Tersek Rodríguez · 0 citations
#explainable ai Open access Oct 2026

Pharmacometabolomic signatures as individualised biochemical response evidence: towards a precision jurisprudence framework for forensic toxicology and criminal responsibility

Precision medicine is transforming drug response from a population level assumption into an individualised biochemical event. Pharmacometabolomics, which profiles metabolic signatures associated with drug exposure and response, offers a mechanistic basis for explaining interindividual variability in therapeutic efficac...

Okechukwu Paul-Chima Ugwu, Maria Edet Umo, Richard A. Akwagiobe et al. · 0 citations
#explainable ai Open access Oct 2026

Computational Chemical Engineering Explained: Models & Simulation

Computational Chemical Engineering Explained: Models & Simulation serves as an open educational resource (OER) curriculum framework and foundational reference manual connecting first-principles transport phenomena, numerical methods, and modern data-driven architectures to chemical process design and control. Developed...

Prep4Uni.Online · 0 citations
#explainable ai Open access Oct 2026

AI Execution Safety Literature vs. the Arcstone Invariant Substrate: Downstream Actuation Mechanics, Tier Mapping, and Citation-Tree Synthesis

Document Reference: ARC-LIT-003Companion Specifications: ARC-SPEC-AGENT-HCE-001 (10.5281/zenodo.23076445) & ARC-ANL-INJ-002 (10.5281/zenodo.23076559)Governing Framework: Invariant Taxonomy (Physical, Digital, Legacy)Primary Target: Downstream Actuation Mechanics (DAM) & SynthesisTarget Master Anchor: A-77-DELTA-SHIELD-...

Jesse Ward Tuohy · 0 citations
#explainable ai Open access Oct 2026

A holistic trustworthy AI pipeline for building trusted AI-enabled applications

Abstract AI-enabled applications have achieved widespread adoption for complex problem-solving and informed decision-making. However, growing concerns regarding AI system failures that lead to bias, inequalities, and untrustworthy outcomes necessitate a move beyond performance evaluation to ensure trustworthy, equitabl...

Bilal Sardar, Shareeful Islam, Dmitry Amelin et al. · 0 citations
#explainable ai Book Open access Oct 2026

AI AND BIG DATA ANALYTICS FOR BUSINESS MANAGEMENT: CONCEPTS, TOOLS AND STRATEGIES

AI and Big Data Analytics for Business Management: Concepts, Tools and Strategies explores how artificial intelligence and big data analytics are transforming modern business decision-making and management practices. The book explains key concepts, analytical tools, technologies, and strategies used to collect, process...

Dr.B. Gopi, G. Radha Krishna Murthy, Medishetti Swetha et al. · 0 citations
#explainable ai Open access Oct 2026

CAST-DRO: Cognition-aware service triage with configurable risk adjustment for resource-constrained AI information services

AI information service platforms must allocate heterogeneous requests across models, memory, clarification, and human review under joint resource constraints. We develop CAST, a cognition-aware five-action service-triage framework; CAST-ERM learns group-level empirical allocations, and CAST-DRO adds a configurable mean...

Hengyu Sha, Yanjie Song, Xiaoshuai Hao et al. · 0 citations
#explainable ai Open access Oct 2026

Data Management Plan — Strategic Decision-Making and Optimization: Empowering SMEs with Data-Driven Systems for Resilience and Digital Competitiveness

Data management plan for an industrial doctorate on evaluative AI for strategic decision-making in SMEs, produced with CORA.eiNa DMP (CSUC) using the UOC doctoral-student template. It is maintained as a living document, revised when the facts change rather than filed once. The plan covers data collection from public UK...

Gines Molina-Abril · 0 citations
#explainable ai Open access Oct 2026

Machine learning and electroencephalography for enhanced learning in human-computer interaction

Human-computer interaction has become fundamental to modern society. Improvements in this field have extensive potential across a number of important application domains, such as the capacity to augment human efficiency in the industry sector, evolve technology consumption in recreational settings, and transform learni...

Thomas Simpson · 0 citations

From tech blogs

See all →
MIT News · Artificial Intelligence Oct 28, 2026

3 Questions: Why infrastructure is entering a defining era

Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.