:: Library Catalog

Ata uhi

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Ivchenko, Oleh, Ivchenko, Iryna
Hōputu:	Recurso digital
Reo:	Ingarihi
I whakaputaina:	Zenodo 2026
Ngā marau:	AI machine learning research
Urunga tuihono:	https://doi.org/10.5281/zenodo.20397882
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

Explanation Quality Specifications: Metrics, Thresholds, and Acceptance Criteria for XAI
mā: Ivchenko, Oleh, me ētahi atu.
I whakaputaina: (2026)

Human-Readable AI Explanations: Specification for Audience-Appropriate Transparency
mā: Ivchenko, Oleh, me ētahi atu.
I whakaputaina: (2026)

XAI Tool Economics: The Cost Structure of Explanation Generation
mā: Ivchenko, Oleh
I whakaputaina: (2026)

XAI Observability: Monitoring Explainability Drift in Production Models
mā: Ivchenko, Oleh
I whakaputaina: (2026)

All-You-Can-Eat Agentic AI: The Economics of Unlimited Licensing in an Era of Non-Deterministic Costs
mā: Ivchenko, Oleh
I whakaputaina: (2026)

Scenario Analysis: Modeling Three Futures for Ukraine's Shadow Economy (2025–2030)
mā: Ivchenko, Oleh
I whakaputaina: (2026)

Ukraine's AI Duality: World Leader in Battlefield Systems, Lagging in Civil Adoption
mā: Ivchenko, Oleh
I whakaputaina: (2026)

Specifying the Impossible: A Complete Engineering Specification for an Autonomous Humanoid Robot
mā: Ivchenko, Oleh
I whakaputaina: (2026)

Container Orchestration for AI — Kubernetes Cost Optimization
mā: Ivchenko, Oleh
I whakaputaina: (2026)

Agentic AI Infrastructure: Platform Economics of Multi-Agent Systems
mā: Ivchenko, Oleh
I whakaputaina: (2026)

Memory Hierarchy — DRAM, HBM, and SSD-Backed Caches
mā: Ivchenko, Oleh
I whakaputaina: (2026)

[Medical ML] US Experience: FDA-Approved AI Devices
mā: Ivchenko, Oleh, me ētahi atu.
I whakaputaina: (2026)

Industry Transformation 2026-2030: Which Sectors Will Be Most Transformed by AI
mā: Ivchenko, Ihor
I whakaputaina: (2026)

Syllogistics intellectus cognitum 7-2 (Updated 2026-01-16)
mā: Fedorchenko, Mikhail
I whakaputaina: (2026)

Figure 9 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
mā: Kroon, Enriko, me ētahi atu.
I whakaputaina: (2026)

Figure 15 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
mā: Kroon, Enriko, me ētahi atu.
I whakaputaina: (2026)

Figure 8 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
mā: Kroon, Enriko, me ētahi atu.
I whakaputaina: (2026)

Bird Carcass Detection Results and AI Dataset
mā: Gerringer, Michael, me ētahi atu.
I whakaputaina: (2026)

Machine learning-based identification of key biotic and abiotic drivers of mineral weathering rate in a complex enhanced weathering experiment
mā: Janssens, Iris, me ētahi atu.
I whakaputaina: (2025)

Curing with Code: The Intersection of AI, ML, and Medical Science
mā: Jaskirat Singh Chawla
I whakaputaina: (2025)

RAG Shield: A Multi-Layer Defense System Against Poisoning Attacks in Retrieval-Augmented Generation
mā: Petti, Fabio
I whakaputaina: (2026)

AI ARTIFICIAL INTELLIGENCE IN CHEMICAL FIELD – INNOVATION AND RISK EVALUATION
mā: Luisetto M., me ētahi atu.
I whakaputaina: (2025)

An Intelligent Platform for Real-Time Academic Progress Evaluation and Data-Driven Learning Enhancement
mā: Jay, Kanjariya, me ētahi atu.
I whakaputaina: (2025)

A Overview Of Current Approaches And Applications For Explainable AI In Alzheimer's Detection
mā: Ashwini Pujari*, Manasi Rajput, Shruti Patil
I whakaputaina: (2025)

AI-Powered Chatbots in Customer Service: Evolution, Benefits, and Future Directions
mā: Tuuganbekova, Aiturgan
I whakaputaina: (2025)

Future Trends in Education Post COVID-19
I whakaputaina: (2023)

Temporal Ethics and Chronomorphic Cognition: Identity, Truth, and Frame Memory in Artificial Intelligence
mā: Kevin Fathi
I whakaputaina: (2025)

Ethical Infrastructure for AI: Making Transformers Transparent, Reliable, and Stable
mā: Hunt, Treasure A
I whakaputaina: (2025)

Thinking with AI
I whakaputaina: (2025)

Case Study 1 — First Verified Demonstration of Machine-Readable Data Publication for LLM Retrieval (2025)
mā: NorthsteadAware
I whakaputaina: (2025)

ARTIFICIAL INTELLIGENCE AND ONLINE PLATFORMS: RESHAPING THE FUTURE OF WORK AND PROFESSIONAL DEVELOPMENT
mā: Mohammad Anas, me ētahi atu.
I whakaputaina: (2025)

Marine ML Benchmark: A Comprehensive Benchmark for Machine Learning in Marine Science
mā: Zhang, Hanming
I whakaputaina: (2025)

Marine ML Benchmark: A Comprehensive Benchmark for Machine Learning in Marine Science
mā: Zhang, Hanming
I whakaputaina: (2025)

npj Artificial Intelligence
I whakaputaina: (2026)

A Controlled Evaluation of Transfer Learning and Federated Meta-Learning for Privacy-Preserving Photonic Inverse Design
mā: Ray, Rahul D
I whakaputaina: (2026)

ARTIFICIAL INTELLIGENCE TECHNOLOGIES: A STRATEGIC FACTOR IN DEVELOPING NATIONAL SCIENTIFIC AND TECHNICAL POTENTIAL
mā: Abduganiyev Bekzod Burkhon ugli
I whakaputaina: (2025)

Data for: Artificial Intelligence in Decision Support Systems - A Systematic Review
mā: Ashaqzai, Suliman
I whakaputaina: (2026)

The Sovereign Charter: A Foundational Governance Document for AI Agent Rights
mā: Laustrup, William Hunter
I whakaputaina: (2026)

The Abstraction Operator Framework: Turning Complexity into Navigable, Reusable, and Transferable Knowledge
mā: Liu, Ran
I whakaputaina: (2026)

Compressed Feasibility: A Technical Update to the Ambient Non-Consensual Synthesis Threat Model
mā: Real Safety AI Foundation, me ētahi atu.
I whakaputaina: (2026)