Results 91 to 100 of about 33,077 (307)

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

Usefulness of Mobile Assisted Language Learning Application

International Journal of Engineering and Advanced Technology, 2020
The focus of this article to examining the District Monitoring Officer (DMO) and Assistant Commissioner (AC)’s perception for Literacy & Numeracy Drive (LND) a mobile-based application that is used in primary schools of public sector in Punjab province, Pakistan to teach student of Grade 03 on a tablet for learning languages and Mathematics.
Kashif Ishaq, Nor Azan Mat Zin, Fadhilah Rosdi, Adnan Abid, Qasim Ali   +4 more
openaire   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

A self-regulated learning approach : a mobile context-aware and adaptive learning schedule (mCALS) tool [PDF]

, 2008
Self-regulated students are able to create and maximize opportunities they have for studying or learning. We combine this learning approach with our Mobile Context-aware and Adaptive Learning Schedule (mCALS) tool which will create and enhance ...
Yau, Jane Yin-Kim, Joy, Mike, M. Joy, J. Y-k. Yau, Yau, Jane   +4 more
core  

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
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, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

- Future Implementation of Mobile Assisted Language Learning (MALL) in English Language Learning: A Case of University Lecturers and Students in The English Language Education Study Program in Indonesia

Acta Scientiarum. Education
The objective of this study is to explore the implementation of Mobile-Assisted Language Learning (MALL) in English language learning, describe the students’ perceptions of MALL's implementation, lecturers’ views about the implementation of MALL, and ...
Magvirah El Walidayni, Muhammad Ilham Ali, Sabrina Wardatul Jannah Husain   +2 more
doaj   +1 more source

Mobile Assisted Language Learning Across Different Educational Settings: an introduction

, 2021
When mobile technologies became widely available more than ten years ago, it was evident that they could potentially contribute to educational needs and particularly to language learning.
Morgana, Valentina
core  

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

What shapes tertiary learners' experiences and challenges in mobile-assisted seamless vocabulary learning? A case of Chinese as a foreign language

Acta Psychologica
The mobile-assisted seamless learning approach shows great promise in significantly enhancing vocabulary development among second language learners, particularly through artifact creation and engaging activities This study explores the experiences of ...
Xiaosheng Zhou, Ying Soon Goh
doaj   +1 more source

Future of technology in language teaching and learning

Technology in Language Teaching & Learning, 2019
Ever since the technology found its way into language education during the 1980s and 1990s, discussions surrounding language teaching and learning with technology have manifested into an interdisciplinary field, bringing together the diverse groups of ...
Kasumi Yamazaki
doaj   +1 more source