machine vision algorithms
6 papers by 5 researchers working on machine vision algorithms.
Vahan Petroian, Ulrich Wagner, Philipp Keller
Annals of Synthetic Bioarchitecture, 2024 · Vol. 1, No. 182 · pp. 775–805
We investigate the formation and propagation dynamics of topological defects within DNA origami structures designed to serve as programmable information storage media. By exploiting the programmed degradation kinetics induced by specific…
Vivian Holloway, Klaus Richter, Vahan Petroian
Annals of Advanced Soft Matter Dynamics, 2026 · Vol. 24, No. 147 · pp. 95–131
We investigate the formation and stabilization kinetics of topological defects within a synthetic polymer membrane designed for micro-scale aerial buoyancy control. These membranes undergo programmed self-folding driven by controlled…
Kerem Alpdoğan, Dietrich Hauser, Levon Khachatrian
Annals of Applied Geo-Environmental Science, 2024 · Vol. 42, No. 368 · pp. 46–85
Large-scale environmental remediation and sustainable infrastructure projects face inherent epistemic uncertainty due to the multitude of interacting biogeochemical, hydrological, and socio-economic variables. This paper posits that these…
Klaus Richter, Vahan Petroian, Serkan Aksoy
Annals of Geo-Environmental Toxicology, 2026 · Vol. 21, No. 330 · pp. 729–749
This study investigates the unintended ecological and public health consequences borne by neighboring societies following the sustained operation of the Metsamor Nuclear Reactor in Armenia. Monitoring data spanning the last decade reveals…
Leyla Demir, Klaus Richter, Patricia Holloway
Annals of Urban Cognitive Ecology, 2024 · Vol. 37, No. 972 · pp. 252–283
This study investigates the physiological and psychological sequelae associated with daily commutes exceeding sixty minutes within Istanbul's complex metropolitan transit network. Utilizing mixed-methods approaches, we quantified the…
Klaus Richter, Philipp Keller, Gregor Maurer
Annals of Abyssal Biophysics, 2024 · Vol. 26, No. 954 · pp. 430–463
This study explores the hypothesis that deep-pelagic cephalopods utilize highly tuned mechanoreceptors to navigate using minute, long-range pressure wave patterns generated by ambient oceanic flows. We deployed novel acoustic tags capable…