explainable ai

99.04% of the Proton's Mass Is Not the Higgs ── The Electron Is 100% Higgs, So Within One Word "Mass" There Is a Factor of 104 ── Set the Vacuum Expectation Value to 0 and the Proton Loses Only 0.96% ── [Paper 286]

It is said that “the Higgs particle gives things their mass.”This paper asks what fraction of “things”──the answer, for the proton, is 0.96%. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is claimed──the PDG quark masses, the proton a...

AI-Driven Geospatial Hydrology: Machine Learning and Decision Support for Surface Water Dynamics

Official Codebase Release (v1.0.1) Accompanying reproducible code, neural architectures, data pipelines, and decision-support tools for the Springer Nature Monograph: "AI-Driven Geospatial Hydrology: Machine Learning and Decision Support for Surface Water Dynamics" (2026) by Burak Can. Key Capabilities & Modules Earth...

Economic Convergence Under Technological and Climate Transformation

Economic Convergence Under Technological and Climate Transformation presents a comprehensive macro‑structural framework explaining how emerging markets can achieve sustained catch‑up growth amid two simultaneous global transitions: the Technological Wave—AI, robotics, digital automation—and the Climate Wave—decarboniza...

"Beyond Medical Treatment: The Role of Healthcare Professionals in Patient-Centred, Safe and Supportive Healthcare"

Why this is a strong title This title combines the main ideas of the research paper: Beyond Medical Treatment → healthcare is more than diagnosis and medicines. Role of Healthcare Professionals → doctors, nurses and other professionals. Patient-Centred → importance of patient needs and participation. Safe → patient saf...

AI-Driven Geospatial Hydrology: Machine Learning and Decision Support for Surface Water Dynamics

Official Codebase Release (v1.0.1) Accompanying reproducible code, neural architectures, data pipelines, and decision-support tools for the Springer Nature Monograph: "AI-Driven Geospatial Hydrology: Machine Learning and Decision Support for Surface Water Dynamics" (2026) by Burak Can. Key Capabilities & Modules Earth...

KI - Quo vadis? Von ChatGPT über neuronale Netze zu neuromorpher KI

Praktisch nutzbare Künstliche Intelligenz entstand aus dem Bündnis kluger Köpfe mit den rechentechnischen Fähigkeiten Boolescher Automaten – natürliche Intelligenz dagegen aus Selbstorganisation und Evolution. Dieser zweite Weg rückt mit dem neuromorphen Rechnen zunehmend wieder in das Blickfeld von Wissenschaft und Pr...

FieldMaizeLeaf-8: A Real-Field Early Vegetative Maize Leaf Stress Image Dataset from Bangladesh

FieldMaizeLeaf-8 consists of 3,975 early vegetative maize leaf images collected as a research resource for studies in maize stress classification, computer vision, deep learning, and explainable artificial intelligence. The images were collected from real field conditions in Daudkandi, Cumilla, Bangladesh, and represen...

Using Explainable AI to Identify Spanish SDOH Keywords

Procedural urbanism as infrastructure: a systematic historical analysis of rules, data, and governance

Abstract Procedural modelling has evolved from a niche computer-graphics technique into an increasingly important infrastructure within computational urbanism, geodesign, 3D GIS, heritage reconstruction, scenario-based planning, and urban digital-twin research. Yet these computational and planning-oriented literatures...

Who Is the 'Who'? A Bearer-First Framework for Artificial Consciousness, Welfare, Privacy, and Responsibility

AbstractDebates about artificial consciousness and AI welfare ask whether an artificial system can feel, deserve protection, possess private interests, or bear responsibility. Each question contains a prior pronoun: whose experience, welfare, history, action, and future? For organisms, body, developmental history, and...

FieldMaizeLeaf-8: A Real-Field Early Vegetative Maize Leaf Stress Image Dataset from Bangladesh

FieldMaizeLeaf-8 consists of 3,975 early vegetative maize leaf images collected as a research resource for studies in maize stress classification, computer vision, deep learning, and explainable artificial intelligence. The images were collected from real field conditions in Daudkandi, Cumilla, Bangladesh, and represen...

Epistemic Compression in Artificial Intelligence Mediated Communication: Preserving Reconstructive Structure Under Successive AI Transformation

Artificial intelligence increasingly mediates information through successive transformations involving retrieval, ranking, summarization, synthesis, recommendation, and reuse. These transformations can preserve accurate conclusions while altering the relationships through which those conclusions can be independently ex...