Results 161 to 170 of about 29,833 (295)
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez +4 more
wiley +1 more source
Design‐for‐Benchmarking in Soft Robotics: Navigating Component‐System Dichotomy
Soft robotics faces a profound evaluation challenge: the Component‐System Dichotomy, where isolated component tests fail to predict integrated performance. This article presents a systematic survey of critical reporting gaps across actuation, sensing, and control.
Matteo Lo Preti +4 more
wiley +1 more source
Electric-load forecasting using interval models based on granularity and justifiable principles. [PDF]
Al-Hmouz R +4 more
europepmc +1 more source
Union with God and the Holy Spirit: A New Paradigm of Justification
This study explores justification as a triune act of God. If God is a Trinity and it is God who justifies (Rom 8:33) then justification must be an act of all three divine persons: God the Father, God the Son, and God the Holy Spirit.
Holtzen, Thomas L.
core
A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti +6 more
wiley +1 more source
CrunchLLM: Multitask LLMs for Structured Business Reasoning and Outcome Prediction. [PDF]
Sadia RT, Cheng Q.
europepmc +1 more source
Throughout its long career in American secondary schools, the topic of geometry has frequently been the target of educators who see a course of study that struggles for a rationale for inclusion in the curriculum.
Pandiscio, Eric
core
Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition
A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki +8 more
wiley +1 more source
Reply to Ritson-Williams et al. and Loya and van Woesik: Coral replacement research is vital due to uncertainty and unprecedented stress. [PDF]
Camacho AE, Dana DA, Matz M.
europepmc +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source

