Results 71 to 80 of about 1,190,682 (254)

Sparse Fusion for Multimodal Transformers

, 2022
Multimodal classification is a core task in human-centric machine learning. We observe that information is highly complementary across modalities, thus unimodal information can be drastically sparsified prior to multimodal fusion without loss of accuracy.
Noah Stier, Yi Ding, Mason Wang, Tobias Hollerer, Alex Rich, Matthew Turk, Pradeep Sen   +6 more
core   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 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

Do you see or hear first: The case for perception simultaneity as a quality measure for multimodal biometric fusion

, 2010
This paper discusses the phenomenon of perception simultaneity, and how it can be employed as aquality measure for multimodal biometric fusion. Traditional experiments for measuring perception simultaneity are extended for use in a multimodal biometric ...
C. Eswaran, Eswaran, C., Chiung Ching Ho, Chiung, Ching Ho   +3 more
core   +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

Multimodal Data Fusion in Learning Analytics: A Systematic Review

Sensors, 2020
Multimodal learning analytics (MMLA), which has become increasingly popular, can help provide an accurate understanding of learning processes. However, it is still unclear how multimodal data is integrated into MMLA.
Su Mu, Meng Cui, Xiaodi Huang
doaj   +1 more source

Tuning the Optoelectronic Properties of Wide Bandgap Perovskites: Data‐Driven Insights from Combinatorial Synthesis and High‐Throughput Experimentation

Advanced Functional Materials, EarlyView.
Combinatorial vapor deposition enables independent tuning of Cs/Pb and Br/Cl in wide‐bandgap perovskites. Automated multimodal mapping of 500+ compositions reveals a high‐energy optical transition that correlates with enhanced photoluminescence, defining a practical Cs/Pb window.
Alexander Wieczorek, Sergey Tsarev, Nathan Rodkey, Oleksandr Pshyk, Stefanie Frick, Maksym V. Kovalenko, Sebastian Siol   +6 more
wiley   +1 more source

Multifunctional Neutrophil Nanovesicles Induce Remodeling of Tumor Immune Microenvironment and Synergistic Multimodal Tumor Therapy

Advanced Functional Materials, EarlyView.
Schematic illustration of the engineered RN@FDT for multimodal tumor therapy. a) Fabrication of FD&DOX/TFA‐loaded RGD‐NNV (RN@FDT) and the light‐triggered disassemble of RN@FDT. b) After internalized by tumor cells, RN@FDT are disintegrated under NIR‐II laser irradiation to boost PTT and induce cell apoptosis.
Jiahui Zhang, Cheng Ji, Xin‐Jian Fang, Yu Qian, Jiayuan Shi, Wenhui Liu, Baiyuan Fan, Yuan Zhong, Jiayi Wang, Dan Yu, Maoye Wang, Min Fu, Xiaoxin Zhang, Runbi Ji, Hélder A. Santos, Hongbo Zhang, Xu Zhang   +16 more
wiley   +1 more source

GCMA-Net: A Gated Cross-Modal Attention Network for Arabic Multimodal Sentiment Analysis

IEEE Access
Arabic multimodal sentiment analysis (MSA) remains challenging due to linguistic diversity, modality imbalance, and the limitations of traditional fusion techniques in capturing cross-modal interactions.
Ayoub Ben Cheikhi, El Habib Nfaoui
doaj   +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