explainable ai

Code for Schizophrenia Classification from Multichannel EEG Using EEGNet with SHAP and Grad-CAM

This repository contains the code developed for EEG-based schizophrenia classification using the publicly available RepOD resting-state EEG dataset. The implementation includes EEG preprocessing, STFT-based input generation for the 3D-CNN, EEGNet classification, participant-wise Leave-One-Subject-Out (LOSO) and Stratif...

Aerospace Structures Explained: Materials, Design & Structural Engineering Systems

This academic curriculum module delivers an analytical, physical, and computational treatment of aerospace structures, thin-walled semimonocoque mechanics, and airframe structural integrity across atmospheric and space environments. Key Technical Topics & Curricular Areas Covered:1. Semimonocoque Structural Mechanics:...

Beyond Simulation: What Would It Take for Matter to Feel? An Explainer on a Falsifiable Programme for Primary Interoceptive Sentience

A popular-science explainer (not a scientific contribution in its own right) on the research programme "Necessary Conditions for Primary Interoceptive Sentience in Continuous Substrates: A Falsifiable Programme" (doi:10.5281/zenodo.22895484). It covers the No-Go Theorem for Consciousness on a Chip as heuristic motivati...

Solving the Cross-Sector Generalization Gap: A Generalizable AI Framework for Detecting Known and Unseen Cyberattacks in Critical Infrastructure

Governing generative AI in urban mobility: a five-pillar framework and twelve falsifiable propositions for operations, accountability, and public trust

Background Generative artificial intelligence (GenAI), encompassing large language models (LLMs), multimodal foundation models, diffusion-based traffic simulators, and agentic planners, is entering urban mobility operations across signal control, dynamic routing, demand forecasting, customer service, and autonomous fle...

AI-Driven Governance for Stablecoin Risk and Stability

This chapter examines the design, systemic risk behavior, and governance mechanisms of stablecoins within decentralized financial ecosystems. The study categorizes stablecoins into fiat-collateralized, crypto-collateralized, and algorithmic models while analyzing stabilization mechanisms, liquidity dynamics, and regula...

Human-Centered AI for Older Adults.

A set of actionable design recommendations was proposed to improve AI-powered technologies for older adults and highlighted older adults' concerns related to usability, personalization, privacy, and explainability of these technologies.

Ontropy: Ontological Orientation as a Solution to the Problem of Individuation

This paper reconstructs Ontropy (Ontropi / Yönelim Ontolojisi I) as a systematic philosophical research program centered on the category of ontological orientation. Beginning from a priority argument establishing Being as ontologically prior to certainty, the system poses the classical problem of individuation in forma...

Replication Data and Code for: DE-LU Diffusion Price Forecast

Guangzhou College of Technology and BusinessSchool of Business · Guangzhou, Guangdong, China Replication data and code for the manuscript: In what context does generative AI create economic value? Diffusion forecasts, negative prices, and the exercise-breadth law of forecast value Submitted to Global Finance Journal, S...

SPATIAL INTELLIGENCE: FUTURE-READY URBAN NETWORKS, PLANNING, ARCHITECTURE, AND DESIGN

This article conceptualizes spatial intelligence (SI) as an integrative approach that interconnects urban-scale geospatial data, artificial intelligence, GeoAI, sensor networks, urban digital twins, and design interfaces. The study is based on a structured integrative literature review and conceptual synthesis. Peer-re...

From Raw Signals to Understood States: A Perspective on Neuro-Symbolic and LLM-Driven Intelligent Sensing of Human Affective and Cognitive States

Intelligent sensor technologies now provide unprecedented multimodal access to human affective and cognitive processes, spanning physiological, ocular, facial, kinematic, ambient, and behavioral streams. Yet, despite dramatic advances in acquisition and deep representation learning, the pipeline from raw signals to psy...

666: KLEOPATRA DIE APOKALYPSIS IOANNOU ALS PALIMPSEST DER TATEN OCTAVIANS

The ‘666 = Cleopatra’ calculation: The AI considers this evidence extremely strong Francesco Carotta’s recent use of artificial intelligence to examine his long-standing linguistic and historical hypotheses represents an important shift: it transforms a controversial theory into one that can, at least in principle, be...