O presente trabalho descreve o desenvolvimento de um sistema automatizado de deteção de mistura de matéria-prima numa linha de bobinagem têxtil, recorrendo a visão computacional e fluorescência ultravioleta (UV) (365 nm). Sob radiação UV, o poliéster emite fluorescência visível enquanto o nylon permanece opticamente ne...
Mariana Araújo Carneiro· Zenodo (CERN European Organi...· 0 citations
O presente trabalho descreve o desenvolvimento de um sistema automatizado de deteção de mistura de matéria-prima numa linha de bobinagem têxtil, recorrendo a visão computacional e fluorescência ultravioleta (UV) (365 nm). Sob radiação UV, o poliéster emite fluorescência visível enquanto o nylon permanece opticamente ne...
Mariana Araújo Carneiro· Zenodo (CERN European Organi...· 0 citations
Smartphones provide a widely available platform for multidimensional mobility sensing, but the mapped evidence largely concerns feasibility, technical validation, or associations with clinical status and outcomes, which will require standardized acquisition and reporting, cross-device and cross-platform validation, con...
Edwin H. Y. Lui, Ralph J. Mobbs· Journal of Neurology· 0 citations
This work contributes a typology of eight incongruence modes as a vocabulary for the structural breakdowns that human-agent collectives produce, specifying a generative model of human-agent collectives and using Monte Carlo simulation to parameterize it.
J. Oppenlaender, Aku Visuri, S. Hosio· Proceedings of the 2026 ACM...· 0 citations
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A search-based metamorphic testing approach that identifies a minimal set of transformations on underwater images to induce incorrect model predictions, thereby revealing VLM failures and derive lessons for software engineering practitioners and researchers working on quality assurance of VLM-based software systems.
Muhammad Yousaf, Aitor Arrieta, Shaukat Ali et al.· 0 citations
The Milvue SmartUrgences AI software may provide useful decision support during acute radiographic assessment, but AI output should complement rather than replace clinical and radiological assessment.
M. H. Christensen, Rasmus Elsøe, Firaz Mahdi et al.· Skeletal Radiology· 1 citation
The findings support the claim that BF is a more structured and automation-friendly framework than CWE, and exploration reveals specific gaps in BF, including under-specified guidance on attributes.
Mohammad Nazmul Hoque, Shaswata Mitra, Subash Neupane et al.· 0 citations
The contribution is a bounded application of established optimization to selecting assurance context for a software change; discovering the obligations and downstream agent benefit remain open.
A preliminary nonvalidated script for cone detection in retinal AO images with support from GPT-4 is developed and before such a script can be used in clinical research, it should undergo more fine-tuning and extensive testing.
J. Pas, Ludo van der Zanden, Yoeri van Leeuwen et al.· JMIR Formative Research· 0 citations
Securing wireless communication against eavesdropping is critical, particularly in dynamic and decentralized environments. We present gr-PHYSEC, a new GNU Radio out-of-tree (OOT) module for real-time physical-layer key generation. Unlike traditional key generation that relies on pre-shared secrets or computational comp...
Jose Angel Sanchez Viloria, G. Sklivanitis, D. Pados· 0 citations
This paper formalizes a test-based approach for bivariate causal discovery by repurposing goodness-of-fit and independence tests within a hypothesis-testing framework and demonstrates the use and behavior of the inferential framework through simulations that vary the degree of assumption violation, as well as through r...
Shreya Prakash, Fan Xia, Elena Erosheva· 0 citations
This work examines what structure is supplied by the game or workflow, what AI learns or produces, which capabilities and artifacts transfer across settings and roles, and what evidence supports the claims and identifies cross-role connections.
Meng-Yang-Yu-Jing-Jia Luo, Yan-Lin Li, Hao Li et al.· 4 citations
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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.
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