Results 131 to 140 of about 23,824,788 (291)

Advances and frontiers in multimodal discourse analysis

, 2013
From the 1990s, the multimodal turn in systemic functional linguistics and discourse analysis makes multimodal discourse analysis a popular topic in linguistics and communication studies.
Zhang, D., O'Halloran, Kay, Feng, D.
core   +1 more source

Multimodal Discourse Analysis

Vivien Sommer, Kamil Bembnista
  +4 more sources

Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing

Advanced Functional Materials, EarlyView.
A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee, Geunyoung Kim, Hwa Young Kim, Do Hoon Kim, Hanchan Song, Huisu Noh, Jungwan Noh, Seungwoo Lee, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +10 more
wiley   +1 more source

MINT.tools: Tools and Adaptors Supporting Acquisition, Annotation and Analysis of Multimodal Corpora [PDF]

, 2013
Kousidis S, Pfeiffer T, Schlangen D. MINT.tools: Tools and Adaptors Supporting Acquisition, Annotation and Analysis of Multimodal Corpora. In: Proceedings of Interspeech 2013.
Kousidis, Spyridon, Schlangen, David ; https://orcid.org/, Pfeiffer, Thies ; https://orcid.org/   +2 more
core  

Structural and Semantic Dominants of r/SpaceX Discourse

Вестник Кемеровского государственного университета. Серия: гуманитарные и общественные науки
This study presents a structural and semantic analysis of the discourse within the technologically oriented r/SpaceX community on Reddit. In the contemporary digital landscape, online forums construct and negotiate the public identity of technological ...
Smakotina Natal'ya
doaj   +1 more source

Multimodal Optoelectronic Synapses for Neuromorphic Intelligence: Coupling Light, Electrical, Thermal, and Beyond

Advanced Functional Materials, EarlyView.
This review revisits optoelectronic neuromorphic devices that extend from unimodal sensing toward multimodal perception. Five types of stimuli‐to‐output information flow that are classified based on the device roles within the system and applications are summarized and discussed.
Jihyun Shin, Junhyung Cho, Wangmyung Choi, Jaehyun Hur, Jae Kyeong Jeong, Ulrike Kraft, Hocheon Yoo   +6 more
wiley   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Multimodal Analysis Image (Teacher Edition and Student Edition).

, 2012
The aim of this resource book and the accompanying software Multimodal Analysis Image is to introduce a systematic approach to the study of multimodal texts consisting of linguistic and visual elements.
O'Halloran, Kay, E, M.K.L., Tan, S.
core  

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source