Results 111 to 120 of about 24,451 (260)
Adaptive conversational AI systems in high-stakes domains require rigorous architectural validation prior to deployment. However, existing evaluation approaches often fail to distinguish which system-level properties can be reliably assessed under fully ...
Kesara Harisara Punchihewa +4 more
doaj +1 more source
Milled polycrystalline NMC811 cathode (MPC NMC) with smaller secondary particle and higher surface area had 1) greater cathode tortuosity, 2) reduced surface Ni on the cycled MPC cathodes consistent with surface reconstruction, and 3) increased Ni deposition from cathode‐anode crosstalk, manifesting in lower functional capacity and higher impedance ...
Edelmy J. Marin Bernardez +22 more
wiley +1 more source
Identifiability Implies Robust Identifiability [Elektronisk resurs]
In identification from a deterministic point of view an algorithm is said to be robustly convergent if the true system is regained when the noise level tends to zero.
Glad, Torkel, +2 more
core
At Home Detection of Ovarian Health Biomarker in Menstruation Blood
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon +3 more
wiley +1 more source
ABSTRACT Photonic integrated circuits (PICs) can deliver unparalleled performance for future neuromorphic computing applications. Such neuromorphic PICs require a large number of tunable switches, which are typically realized with current‐controlled heaters, resulting in considerable energy consumption.
Jens Samland +10 more
wiley +1 more source
Effective identifiability criteria for tensors and polynomials
A tensor T, in a given tensor space, is said to be h-identifiable if it admits a unique decomposition as a sum of h rank one tensors. A criterion for h-identifiability is called effective if it is satisfied in a dense, open subset of the set of rank h ...
StaglianÃ2, Giovanni +5 more
core +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Appendix C. Weak identifiability issues.
Weak identifiability ...
Anne Charmantier (532107) +2 more
core +1 more source
Amid the rise of machine learning models, a substantial portion of plant growth models remains mechanistic, seeking to capture an in-depth understanding of the underlying phenomena governing the system’s dynamics.
Jean Velluet +2 more
doaj +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source

