Results 161 to 170 of about 4,900,567 (209)

Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment

open access: yesAdvanced Intelligent Systems, EarlyView.
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

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang   +4 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne   +5 more
wiley   +1 more source

Continuous and Large‐Scale: ELEANOR, the Soft Architected Arm Inspired by the Elephant Trunk

open access: yesAdvanced Intelligent Systems, EarlyView.
A large‐scale, architected continuum robot inspired by the macroscopic properties of the African elephant trunk achieves adaptive elephant‐like movements and whole‐body grasping. The results demonstrate that designing from the natural system’s macroscopic properties, rather than prescribing behaviors, provides a powerful strategy for developing ...
Giovanna A. Naselli   +8 more
wiley   +1 more source

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi   +4 more
wiley   +1 more source

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