Reducing Depth Measurement Uncertainty in Industrial Robot Stereo Vision Through Error-Aware Disparity Refinement. [PDF]
Meng L, Wei H, Zhang H.
europepmc +1 more source
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa +3 more
wiley +1 more source
Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source
Strategic decoupling between grant and publication language in AI and cancer research: a cross-national LLM-assisted analysis. [PDF]
Wang X, Sun Y.
europepmc +1 more source
Core Measures of Inflation as Predictors of Total Inflation
Theodore M. Crone +3 more
openaire +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer +6 more
wiley +1 more source
Bioinspired ventral-groove fibers for volume-programmable pneumatic actuation. [PDF]
Zhang X +8 more
europepmc +1 more source
A Bioinspired Underwater Soft Robot for Active Intravesical Liquid Delivery and Mixing
A bioinspired underwater soft robot is reported that integrates an elastic strain energy‐driven soft robotic pump with a programmable flexible magnetic valve, enabling remotely controlled, programmable, and sustained liquid release and mixing. This functionality is enabled by the synergistic integration of elastic strain energy‐driven pumping and ...
Jacob Katona +7 more
wiley +1 more source
Equipotent Doses and ED95 Extrapolation: Methodological Concerns in Trials of Ciprofol-Esketamine/Sufentanil for Elderly ESD [Letter]. [PDF]
Li L, Zhang Z, Wang Z, Li C.
europepmc +1 more source

