Results 81 to 90 of about 8,339 (216)

The analysis of learning investment effect for artificial intelligence English translation model based on deep neural network

Scientific Reports
With the rapid development of multimodal learning technologies, this work proposes a Future-Aware Multimodal Consistency Translation (FACT) model.
Yan Zhang, Shuangshuang Lyu
doaj   +1 more source

Hydrogel‐Based 3D‐Printable Stretchable Pressure Sensor

Advanced Materials Technologies, EarlyView.
We present a carbon‐black‐functionalized double‐network granular hydrogel (DNGH) pressure sensor capable of detecting pressures from 200 Pa, equivalent to a light finger touch, up to 500 kPa. The sensor exhibits signal drifts below 3.5% after 800 cycles and response times around 80 ms. Leveraging this broad sensing range, we 3D print this material into
Tianyu Yuan, Chenzhuo Li, Antonia Georgopoulou, John M. Kolinski, Esther Amstad   +4 more
wiley   +1 more source

MVACLNet: A Multimodal Virtual Augmentation Contrastive Learning Network for Rumor Detection

Algorithms
In today’s digital era, rumors spreading on social media threaten societal stability and individuals’ daily lives, especially multimodal rumors. Hence, there is an urgent need for effective multimodal rumor detection methods. However, existing approaches
Xin Liu, Mingjiang Pang, Qiang Li, Jiehan Zhou, Haiwen Wang, Dawei Yang   +5 more
doaj   +1 more source

Multiscale Acoustic Bubble Actuators Using Bioinspired Liquid‐Repellent Microstructures

Advanced Materials Technologies, EarlyView.
The article presents multiscale acoustic bubble actuators using bioinspired liquid‐repellent microstructures, enabling programmable trapping, pumping, mixing, and precise flow control. Mimicking springtail microstructures, these scalable actuators (200 µm–1 mm) offer multifunctionality in all‐in‐one devices, letter‐shaped arrays, and 3D cube ...
Cem Balda Dayan, Nima Mahkam, Nihal Olcay Dogan, Ville Liimatainen, Defne Hiz, Aleyna Ilgezdi, Daniel Razansky, Amirreza Aghakhani, Metin Sitti   +8 more
wiley   +1 more source

Exploring the Multimodal Approach in Pre-Service Chemistry Teacher Education: Perspective from Students and Lecturers

Qubahan Academic Journal
This study aims to investigate the implementation of a multimodal approach in the learning process and the summative tests of pre-service chemistry teacher education. Data were collected through Google Forms using semi-structured questions.
Marfuatun Marfuatun, Nahadi Nahadi , Galuh Yuliani , Hernani Hernani   +3 more
doaj   +1 more source

Learning from linguistics: rethinking multimodal enquiry [PDF]

International Journal of Social Research Methodology, 2017
Multimodal studies posit that meaning is not only communicated through spoken and written words, but also through other modes such as images, gesture, gaze, proximity etc. The widespread availability of high-quality, miniaturised audio and video recording and storing technology has made multimodal data collection cheap and easy.
openaire   +4 more sources

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source