Results 71 to 80 of about 31,930 (259)

Multi-label Text Classification Using Multinomial Models [PDF]

, 2004
Traditional approaches to pattern recognition tasks normally consider only the unilabel classification problem, that is, each observation (both in the training and test sets) has one unique class label associated to it. Yet in many real-world tasks this is only a rough approximation, as one sample can be labeled with a set of classes and thus ...
David Vilar, María José Castro 0001, Emilio Sanchis   +2 more
openaire   +1 more source

Self‐Sintering Ionogel Binder for Flexible, Recyclable, and Healable Printed Giant Magnetoresistive Sensors

Advanced Functional Materials, EarlyView.
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo, Xiaotao Wang, Guannan Mu, Proloy Taran Das, Igor Veremchuk, Conrad Schubert, Aaron D. Cross, Yevhen Zabila, Xuan Peng, Larysa Baraban, Denys Makarov   +10 more
wiley   +1 more source

Molecular Rotors: From Newtonian Fluids to Functional Materials as Viscosity and Temperature Sensing Tools

Advanced Functional Materials, EarlyView.
Molecular rotors are fluorescent molecules that are sensitive to viscosity and temperature variations in the environment. They exhibit a direct correlation between fluorescence and viscosity within Newtonian fluids. However, this correlation becomes less straightforward in complex systems.
Flavia Di Scala, Alice Briole, Valerii Myndrul, Thomas J. Cleij, Hanne Diliën, Bérengère Abou, Bart van Grinsven   +6 more
wiley   +1 more source

Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy

Advanced Materials, EarlyView.
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa, Gracia Mendoza, Silvia Irusta, Manuel Arruebo   +3 more
wiley   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Contrastive Enhanced Learning for Multi-Label Text Classification

Applied Sciences
Multi-label text classification (MLTC) aims to assign appropriate labels to each document from a given set. Prior research has acknowledged the significance of label information, but its utilization remains insufficient.
Tianxiang Wu, Shuqun Yang
doaj   +1 more source

Chiral Altermagnetic Magnetoelectrics

Advanced Materials, EarlyView.
In this work, we introduce a previously unexplored class of magnetoelectric materials, which we term chiral altermagnetic magnetoelectrics, in which structural chirality and Néel‐vector‐driven polarization are intrinsically coupled in nonpolar altermagnetic systems.
Chengwu Xie, Weizhen Meng, Zhenzhou Guo, Xiaodong Zhou, Shifeng Qian, Tie Yang, Wenhong Wang, Zhenxiang Cheng, Xiaotian Wang   +8 more
wiley   +1 more source

Contrastive learning-enhanced dual attention network for multi-label text classification

Journal of King Saud University: Computer and Information Sciences
Multi-label text classification aims to assign each document a subset of relevant labels from a predefined set, addressing the realistic scenario where texts can belong to multiple categories or topics. This task is challenging due to the need to capture
Hui Huang, Mingfeng Yu, Shuai Yu, Yongbin Qin, Chuan Lin   +4 more
doaj   +1 more source

Resolving Nanoscale Heterogeneities in Lead Halide Perovskites Through Low‐Dose Concurrent 4D‐STEM‐EDX Mapping

Advanced Materials, EarlyView.
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu, Alexandra A. Sheader, Mohsen Danaie, David G. Hopkinson, Katherine E. MacArthur, Nakita K. Noel, Christopher S. Allen   +6 more
wiley   +1 more source