Results 21 to 30 of about 1,173 (176)

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Investigating Irish English With ICE-Ireland [PDF]

, 2013
The investigation of specific features of Irish English has a long tradition. Yet, with the arrival of large corpora and corpus tools, new avenues of research have opened up for the discipline. The present paper investigates features commonly ascribed to
Schneider, Gerold
core   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

GitTables: A Large-Scale Corpus of Relational Tables

, 2023
The success of deep learning has sparked interest in improving relational table tasks, like data preparation and search, with table representation models trained on large table corpora.
Hulsebos, Madelon, Madelon Hulsebos, Paul Groth, Demiralp, Ç., Groth, Paul, Hulsebos, M., Demiralp, Çağatay, Çagatay Demiralp, Groth, P.; id_orcid   +8 more
core   +1 more source

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

Advanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson, Nebojša Maleševic, Anders Björkman, Christian Antfolk   +3 more
wiley   +1 more source

Offline Corpus Augmentation for English-Amharic Machine Translation

, 2022
International audienceThe purpose of this study was to investigate the effect of corpus augmentation on the quality of English-Amharic Machine Translation (MT). In fact, trigram and four-gram Statistical Machine Translation (SMT) language models, as well
Smaïli, Kamel, Biadgligne, Yohannes
core  

Trends and Limitations in Transformer-Based BCI Research

Applied Sciences
Transformer-based models have accelerated EEG motor imagery (MI) decoding by using self-attention to capture long-range temporal structures while complementing spatial inductive biases.
Maximilian Achim Pfeffer, Johnny Kwok Wai Wong, Sai Ho Ling   +2 more
doaj   +1 more source

Auditory Stimulation of Slow‐Wave Sleep Promotes Recovery after Brain Injury in an Animal Model

Annals of Neurology, EarlyView.
Objective Traumatic brain injury (TBI) significantly reduces the quality of life for millions of survivors worldwide, causing persistent brain tissue damage and cognitive impairments, with no established therapeutic interventions currently available.
Carlos G. Moreira, Adrian Müllner, Meltem Gönel, Pascal Hofmann, Filipe Teixeira, Rosa C. Paolicelli, Inês Dias, Sergio I. Nemirovsky, Christian R. Baumann, Daniela Noain   +9 more
wiley   +1 more source