Research works

Bridging the Interpretability Gap: A Comparative Review of Regulatory Trends and Technical Implementations of Explainable AI (XAI) in the Financial Systems of Emerging Economies

As financial institutions transition from traditional statistical models to complex "black-box" AI systems, the demand for transparency has created a critical interpretability gap. This paper provides a comparative review of the regulatory trends and technical implementations of...

Low-Rank Segre Geometry, Automorphism Groups, and Complement Cohomology of a Binary Two-Step Algebra

This paper determines the intrinsic geometry, symmetry structure, and complement cohomology of an explicit forty-three-dimensional two-step nilpotent associative algebra over the binary field and of its associated algebra group. The contraction ranks of the induced quadratic map...

Language-Mediated Belief/Behavior Attractors in Human-AI Interaction: A Mechanism and Defensive Architecture for AI Mind-Virus Phenomena

We examine how large language models can participate in the propagation of language-mediated belief/behavior attractors — self-reinforcing patterns of interpretation that move through human-agent conversation and shape what people believe and do. The mechanism is not biological c...

Artificial Intelligence in Healthcare. A review of recent trends, applications, challenges and future directions

Artificial intelligence (AI) is becoming an important technology in modern healthcare because of its ability to analyze large volumes of clinical, biomedical, and patient-generated data. AI-based systems are being applied in disease diagnosis, medical imaging, drug discovery, per...

Explainable AI in Healthcare: A Comparative Analysis of Interpretability Techniques for Clinical Decision Support Systems

Artificial intelligence has made a great impact on healthcare by providing accurate disease diagnosis, personalised treatment regimens, and efficient clinical decision making. But many of the advanced machine learning and deep learning models are black-box systems, and healthcare...

The Cover-up of a Terrorist Incident by the 'United Kingdom Government'

This document is "The Cover-up of a Terrorist Incident by the 'United Kingdom Government'", authored by Graham Edwin Wilkins. It serves as a comprehensive record of the author's attempts to report and seek assistance regarding a sustained campaign of alleged crimes committed agai...

Response Quotients for Exact Semantic Representation

Given a state space, admitted interface space, outcome space, and response map, we identify states that agree under every admitted query. The resulting response quotient carries a uniquely descended Full Admitted Response. We define response spaces and response-equivalence-preser...

The Cover-up of a Terrorist Incident by the 'United Kingdom Government'

This document is "The Cover-up of a Terrorist Incident by the 'United Kingdom Government'", authored by Graham Edwin Wilkins. It serves as a comprehensive record of the author's attempts to report and seek assistance regarding a sustained campaign of alleged crimes committed agai...

A Chloroplast-Inspired Theranostic Nanoplatform for Self-Sustaining Oxygen-Elevating Photodynamic Therapy and Glutathione-Triggered Carbon-Centered Radical Synergistic Therapy

Abstract Achieving precise drug delivery to the tumor site can minimize systemic side effects caused by off-target effects. As a therapy that depends on oxygen content, photodynamic therapy (PDT) is significantly constrained by the hypoxic nature of the tumor microenvironment (TM...

Discrete Derivation of the Fano Plane from the Non-Freezing Principle

This paper establishes, within the discrete regime of the Triniton framework, that the non-freezing filter MP(III) — the third constitutive component of the Meta-Principle — together with the selection filters N1–N4, P-admissibility, Class A, and a lexicographic CPE refinement, f...

A Multimodal IoT Framework for Analyzing Student stress through Personalized Yoga Intervention and Explainable AI (XAI)

Psychological stress among students is a critical public health issue, it affects academic performance and long-term mental stability. Traditional diagnostic methods like interviews and periodic counselling, which failed to provide continuous and personalized monitoring. This pro...

Artificial intelligence in education focused on standardized learning

Artificial Intelligence in Education Focused on Standardized Learning: A Learning Analytics Review Artificial Intelligence (AI) has emerged as a transformative force in education, reshaping teaching, learning, assessment, and educational management. Recent research highlights the...

Technical Limitations of Artificial General Intelligence: A Systematic Literature Review

Artificial general intelligence (AGI) describes a form of artificial intelligence capable of handling diverse intellectual tasks with human-like adaptability and proficiency. Unlike narrow AI, which is built for specific functions, AGI stands out due to its ability to exercise so...

Artificial Intelligence in Higher Education: A review of Applications Benefits, Challenges and future Directions

Artificial Intelligence (AI) is changing higher education through individualized learning, intelligent tutoring systems, learning analytics, automated assessment and generative AI applications. AI is being adopted by universities around the world to improve the quality of teachin...

EMBARK: An Atlas of the Earth-Departure Interstellar Reachable Set, Surveyed on a Real Catalog as a Function of Departure Epoch and Technology Level

Abstract (English) When humanity launches interstellar probes with propulsion technologies that actually exist, how does the set of reachable stellar systems grow as a function of departure epoch t and technology level P? Using a clean eligible catalog of 37,498 stars built on Ga...

The Catalogue Is the Instrument: how the choice of sign inventory moves the statistics of an undeciphered script

Statistical arguments about undeciphered scripts — whether a sign system "behaves like language" — are computed on a transliteration, and a transliteration presupposes a catalogue of signs. For rongorongo the published catalogues disagree by an order of magnitude (about 50 to abo...

The Entropy of Artificial Cognition: Deciphering the Anthropogenic Footprint and Multilingual Energetic Tax of Large Language Models

We are currently facing a growing challenge known as the "hidden cost of intelligence," driven by the immense energy consumption required to develop and practically deploy artificial intelligence (AI) models. This research paper analyzes the environmental impact of AI models and...

The Impact of Generative Artificial Intelligence on Mental Health: Opportunities, Challenges, and Ethical Concerns

Mental health conditions are one of the most pressing public health issues globally, impacting people of all ages and making it difficult for people to operate in health care systems around the world. As Generative Artificial Intelligence (GenAI) evolves quickly, it offers novel...

Application of artificial neural networks for prediction modeling and analysis of the thermophysical properties of Fe₃O₄/water ferrofluid using experimental measurement

Abstract The use of nanofluids has attracted significant attention due to their improved thermal performance compared with conventional heat transfer fluids. Because nanoparticles are on the nanometer scale, problems such as channel blockage and severe abrasion can be reduced. Am...

The Kernel Deficit Dominates Twice the Hull Deficit

For a simple polygon F in the plane, the kernel K(F) is the set of points that see all of F, and the convex hull C(F) measures how far F is from being convex. We prove that the two associated losses are linked by a sharp factor of two: area(F)(area(F) − area(K)) ≥ 2·area(K)(area(...