Rigorous formulation and solution of the deterministic nonlinear trajectory inversion problem in four-dimensional Hilbert spaces via the Riccati Differential Equation (DRE) and Continuous Algebraic Riccati Equation (CARE). Derives the optimal LQR feedback law, proves entropy neutralization, and establishes bifurcation...
Dimitar Stavrev Prodromov· Zenodo (CERN European Organi...· 0 citations
Invisible image watermarking supports copyright protection, provenance tracing, and AI-generated content governance. However, deep encoder-decoder and generative watermarks, public image editors, and latent-space reconstruction have transformed watermark attacks into a rapidly evolving landscape beyond conventional dis...
Complete lattice computation of Wilson loop expectation values under SU(3) gauge theory on a four-dimensional Euclidean lattice. Establishes color confinement via the area law and extracts the non-perturbative Yang-Mills mass gap of 77.71 MeV from the two-point glueball correlator spectral decomposition. ⚖️ PROPRIETARY...
Dimitar Stavrev Prodromov· Zenodo (CERN European Organi...· 0 citations
A liquid with small spheres mixed in at volume fraction φ has, when dilute, (1 + 2.5φ) times its original viscosity. Einstein wrote the coefficient as 1 in his 1906 doctoral thesis and corrected it to 2.5 in 1911. This paper checks the Stokes solution for a sphere in a uniform straining flow by symbolic computation, ob...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
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This study establishes the Diabetic Retinopathy Latent Diffusion Synthesizer (DR-LDS) as a highly resource-efficient solution to the medical data bottleneck by leveraging a fine-tuned Variational Autoencoder for domain-adapted latent space compression, alongside an optimized U-Net.
Touhid Alam, Tze Hui Liew, M. Morol et al.· Discover Artificial Intellig...· 0 citations
Aims: This study develops a dynamic explanation for the gap between task-level artificial intelligence productivity and durable enterprise value. It introduces verification debt, the accumulated stock of unverified assumptions, weak review, concealed dependencies, deferred validation, and capability loss.
Study Design:...
Kwan-Hong Tan· Journal of global economics,...· 2 citations
Masked diffusion language models can revise committed tokens to correct errors at the cost of additional computation. Because recovery benefits vary across tokens and denoising steps, fixed policies can spend this computation on unhelpful revisions. We present EXplicit Outcome-Driven Uncertainty Screening (EXODUS), a m...
Dongfang Zhao· Zenodo (CERN European Organi...· 0 citations
This study examines how teacher educators interpret and recontextualise pedagogical knowledge encountered in international educational technology training initiatives. Drawing on narrative inquiry and autoethnographic reflection, the article presents the experiences of two South African STEM teacher educators who parti...
Liztie Prinsloo, Zaheera Jina Asvat· Technology Pedagogy and Educ...· 0 citations
Chaos-based image ciphers built on a permutation-diffusion structure are effective, but most rely on regular block shuffles or single-pass global diffusion, and few report the cryptographic properties of their internal building blocks.This paper proposes a puzzle-based image encryption scheme in which square image piec...
Devaraj F V, Jalesh Kumar· International journal of int...· 0 citations
During practical operation of methanol-fueled solid oxide fuel cell (SOFC), the endothermic reforming induces large temperature gradients and high first principal stress, accelerating cell degradation. To improve the thermomechanical performance of methanol-fueled SOFC, gradient-porosity anodes are proposed in this wor...
Wenbin Xie, Haoteng Yuan, Yinghui Sun et al.· Journal of Power Sources· 0 citations
Description This record provides the pretrained CSP diffusion model used by GSS (Generative Structure Search), a framework that combines diffusion generative models with energy-based guidance from machine-learning force fields to search for stable crystal structures. The paper's main experiments target periodic crystal...
Yifang Qin· Zenodo (CERN European Organi...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
