explainable ai

One Communication System, Twelve Languages: A Structured Approach to Developing Basic Spoken Communication Across Languages

This report describes an instructional system designed to develop basic spoken communication across twelve European languages: Norwegian, Dutch, German, Luxembourgish, French, Spanish, Portuguese, Italian, Romanian, Bulgarian, Russian, and Polish. The system is deliberately narrower than twelve conventional beginner la...

والنماذج التوليدية MLOps، هندسة الذكاء الاصطناعي الحديثة: الشامل في التعلم الآلي

إليك ملخص شامل لكتاب " ، هندسة الذكاء الاصطناعي الحديثة: الشامل في التعلم الآلي والنماذج التوليدية , MLOps" للدكتورة عابدة الحناوي: الفكرة المحورية للكتاب يسد هذا الكتاب الفجوة الكبيرة بين الجانب النظرى الأكاديمي للذكاء الاصطناعي والجانب الهندسي التطبيقي (AI Engineering / MLOps). فهو لا يكتفي بشرح كيفية بناء الخوارزميا...

Exploring Engineers' Perspectives on the Adoption of Artificial Intelligence in Logic Circuit Design and Optimization

Abstract The increasing complexity of digital circuits has encouraged the use of Artificial Intelligence (AI) in Electronic Design Automation (EDA) to assist with logic synthesis, circuit optimization, and design analysis. Machine learning approaches, including Graph Neural Networks (GNNs) and Reinforcement Learning (R...

Innovation in Energy Transition: Lessons from Digital Twin and Industry 4.0 Deployments

Digital twin (DT) technologies, tightly coupled with Industry 4.0 methodologies, are emerging as fundamental enablers for innovation and optimization in renewable and low-carbon energy systems. Unlike traditional offline simulation, DTs support a live, bidirectional connection to physical assets and networks, enablin...

Generative Resonance as a Macrodynamic Theory of Growth and Stagnation ー Population, Productivity, Participation, and the Endogenous Cooling of Economic Development

Short Description This paper develops Generative Resonance Theory as a macrodynamic explanation of growth and stagnation. It introduces generative resonance intensity, (G=\Phi R), as a state variable describing a society's capacity to connect unrealized possibilities with relational participation. The framework explain...

Agentic AI for Autonomous Fault Diagnosis and Root Cause Analysis in Industrial Maintenance

Results demonstrate that the agent successfully identifies multiple concurrent root causes, produces actionable maintenance steps, and generalizes to synthetic failures, establishing a scalable, explainable framework for intelligent industrial maintenance.

Topological and Geometric Native Coding for Higher Dimensional Programming

Abstract This record contains the comprehensive monograph, "Topological and Geometric Native Coding for Higher Dimensional Programming" by Elias Oulad Brahim (September 2026). The research introduces ToposLang and the novel paradigm of Geometric Native Coding (GNC), which challenges the structural limitations of the cl...

Condensation Happens Without Any Attraction: What Decides Is the Wavelength Overtaking the Spacing ── the condensation temperature of an ideal Bose gas contains only constants, the mass and the number density, with no interparticle potential at all ── the separator is whether switching off the interaction makes it disappear ── [Paper 663]

It is natural to think that a phase changes because particles attract one another. But the condensation of bosons happens without any attraction at all. The condensation temperature of an ideal Bose gas is computed in three cases, and what fixes that temperature is examined. No new theorem or law is claimed. Scope of t...

Topological and Geometric Native Coding for Higher Dimensional Programming

Abstract This record contains the comprehensive monograph, "Topological and Geometric Native Coding for Higher Dimensional Programming" by Elias Oulad Brahim (September 2026). The research introduces ToposLang and the novel paradigm of Geometric Native Coding (GNC), which challenges the structural limitations of the cl...

Beyond DNA: An Explainable AI-Driven Multimodal Framework for Long-Term Missing Person Identification: A Systematic Review and Conceptual Model

Predicting Fines Migration Threshold in Sandstone Reservoir: A Machine Learning Framework for Predicting Critical Salt Concentration

Fines migration is a well-documented phenomenon in sandstones, which impairs permeability and causes productivity and injectivity issues. Critical salt concentration (CSC) defines the lowest brine salinity below which fines detach from sand surface due to increased repulsive forces between fines and sand. While prior...

Modeling artificial intelligence readiness and semiotic override in Indonesian geometry education

Findings show that hardware exposure alone is insufficient for AI-oriented learning transformation, andometry teachers should diagnose symbolic overreliance and strengthen visualization-based scaffolding, while school leaders and policymakers should balance infrastructure procurement with adaptive pedagogy, teacher sup...