ABSTRACT Biological visual tracking closely parallels the autonomous navigation that requires motion recognition, typically progressing through a cascade of optical perception, adaptive attention, and real‐time tracking. However, most efforts focus on low‐level perception and decoupled algorithms, while overlooking the...
Yumin Ren, Kai Zhang, Xianqiang Xie et al.· Advanced Functional Material...· 0 citations
Pumping a well lowers the water table around it, and it is easily taken that the effect fades a little way off. What this paper shows is that in a horizontally spreading aquifer (two-dimensional flow) the drawdown decreases only as the logarithm of distance and, with continued pumping, keeps falling as the logarithm of...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Release Notes — v1.4.1 (28 September 2026) DOI: assigned upon Zenodo release — supersedes v1.4.0 (https://doi.org/10.5281/zenodo.22739112) Running corrections: 2/pdf/190_T0_Korrekturen_De.pdf Change log: 001_FFGFT_Changelog_De.md FFGFT — Fundamental Fractal-Geometric Field Theory shows: all Standard Model constants fol...
jpascher· Zenodo (CERN European Organi...· 0 citations
his paper presents a comparative evaluation of contextual-only and machine learning-enhanced biometric access-control systems in an edge computing environment. The contextual only baseline used device trust, known location, login time, access history, resource sensitivity, contextual risk prediction, and Chinese Wall p...
Paul Ndudiri Ohia, Friday Eleonu Onuodu, Ugochi Adaku Okengwu· International Journal of Inn...· 0 citations
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Automated Guided Vehicles (AGVs) serve as the backbone of modern smart factory logistics, yet their operational efficiency is often limited by sub optimal energy management during navigation. Conventional heuristic based Fuzzy Logic Controllers (FLCs) frequently exhibit oscillatory responses, leading to high current sp...
THE FIVE-FOLD CAPACITY RECORD Paper X of the Five-Fold Dark Series Gates on the returning door words \(14\), \(41\), \(11111\), and \(44444\) Chloe Jane Tully Independent researcher · New South Wales, Australia correspondence on request · September 2026 https://orcid.org/0009-0007-5661-7332 10.5281/zenodo.23006153 chlo...
Chloe Tully· Zenodo (CERN European Organi...· 0 citations
A stable spin one half particle with unit electric charge and one Dirac unit of magnetic charge is examined at 1.86 TeV, with a 3 TeV monopole as a second benchmark. In the ATLAS barrel it reaches the electromagnetic calorimeter only if its initial velocity exceeds 0.45c at central rapidity and 0.62c at the edge of the...
Robert Bruce Ware· Zenodo (CERN European Organi...· 0 citations
This paper introduces CO-FREDA (co-participative Frugal, Responsible, Equitable Data-Algorithm Driven Science) as a methodology for designing AI systems that are technically robust, resource-aware, and socially accountable. CO-FREDA combines contemporary computing methods with feminist and decolonial perspectives to mo...
Genoveva Vargas‐Solar· Communications in computer a...· 0 citations
{ "name": "opening_range_breakout_with_prior_day_pivot_reclaim", "source": "floor trader pivot point method (e.g., John Person, Camarilla)", "type": "entry_engine", "rule": "Enter long when price trades above prior day pivot and maintains 1-min close above it after first hour opening range breakout; enter short when pr...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
[2026-09-23] Erratum — the logarithm at s = R. This record states that the local expansion at the dominant singularity s = R carries a logarithm arising from a resonance between the exponent −γ and the integer exponents {0, …, 2d−2}. That statement is withdrawn as an unconditional claim. The correct criterion is the on...
Papanokechi· Zenodo (CERN European Organi...· 0 citations
This is the extended, definitive version (v16.2) of the P0_Distilled research programme, with full technical appendices — it supplements the distilled entry-point paper (P0_Distilled_v0.1) with the complete Lakatosian structure, derivations, and experimental protocol. The programme's hard core is a single metaphysical...
Francesco Iavarone· Zenodo (CERN European Organi...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
