Results 81 to 90 of about 6,586,139 (300)

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Modality-Guided Refinement Learning for Multimodal Emotion Recognition

IEEE Access
Multimodal emotion recognition (MER) aims to understand human emotions by leveraging multiple modalities. Previous MER methods have focused on learning enhanced multimodal representations through various interaction and fusion mechanisms, utilizing ...
Sunyoung Cho
doaj   +1 more source

Learning Multimodality through Genre-Based Multimodal Texts Analysis: Listening to Students’ Voices

Vision: Journal for Language and Foreign Language Learning, 2020
Recently, multimodality has attracted the attention of researchers, notably in the educational milieu. However, only a few studies reported on the way students perceived the use of Genre-Based Multimodal Texts Analysis (GBMTA) for teaching multimodality.
Fuad Abdullah, Soni Tantan Tandiana, Yuyus Saputra   +2 more
doaj   +1 more source

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

Toward Multimodal Analytics in Ubiquitous Learning Environments [PDF]

While Ubiquitous Learning Environments (ULEs) have shown several benefits for learning, they pose challenges for orchestration. Teachers need to be aware of the learning process, which is difficult to achieve when it occurs across a heterogeneous set of ...
Rodriguez Triana, Maria, Villagrá-Sobrino, Sara L., Asensio-Pérez, Juan I., Bote-Lorenzo, Miguel L., Muñoz-Cristóbal, Juan Alberto, Martínez-Monés, Alejandra   +5 more
core   +1 more source

Enhanced Emotion Recognition Through Dynamic Restrained Adaptive Loss and Extended Multimodal Bottleneck Transformer

Applied Sciences
Emotion recognition in video aims to estimate human emotions using acoustic, visual, and linguistic information. This problem is considered multimodal and requires learning different modalities, such as visual, verbal, and vocal cues.
Dang-Khanh Nguyen, Eunchae Lim, Soo-Hyung Kim, Hyung-Jeong Yang, Seungwon Kim   +4 more
doaj   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

IMPLEMENTATION OF THE UTAUT MODEL TO ASSESS THE ACCEPTANCE OF WEB-BASED MULTIMODAL LEARNING MEDIA AMONG TEACHERS

Al-Aulad
This research aims to implement the UTAUT (Unified Theory of Acceptance and Use of Technology) Model in assessing the acceptance of web-based multimodal learning media among teachers.
Williyanti Lestari, Yunus Abidin, Dede Trie Kurniawan   +2 more
doaj   +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