Results 101 to 110 of about 11,177,407 (275)

Zero-Shot Social Media Crisis Classification: A Training-Free Multimodal Approach

Applied Sciences
Rapid classification of social media content during humanitarian crises is essential for effective disaster relief; however, traditional approaches require extensive annotated training data, which are often unavailable during new disasters.
Franziska Schwarz, Klaus Dieter Schwarz, Daniel Arias Aranda, Kendrick Bollens, Navaneeth Shivananjappa, Reiner Creutzburg, Vesna Dimitrova   +6 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification [PDF]

Zero-shot learning has been extensively investigated in the broader field of visual recognition, attracting significant interest recently. However, the current work on zero-shot learning in document image classification remains scarce.
Sheikh, Talha Uddin, Khan, Muhammad Saif Ullah, Stricker, Didier, Afzal, Muhammad Zeshan, Sinha, Sankalp   +4 more
core  

Light‐Imprinted Chirality in Nanomaterials: From Principles to Applications

Advanced Science, EarlyView.
Light‐induced chirality represents a transformative paradigm for fabricating chiral nanostructures. This review provides a comprehensive framework encompassing light‐based strategies for imprinting and tuning chirality in nanomaterials, which guides researchers in harnessing light to create next‐generation functional materials.
Xinru Jin, Emiliano Cortés, Alexander O. Govorov, Tao Ding   +3 more
wiley   +1 more source

Molecular Editing Reveals a Bilobalide Chemotype that Attenuates Prolyl Endopeptidase (PREP)‐Linked Neuroinflammation

Advanced Science, EarlyView.
Molecular editing of bilobalide uncovers BB56, a PREP‐engaging chemotype with enhanced anti‐inflammatory activity in microglia. Integrated CETSA‐MS, SAR, and pathway analyses link BB56 to attenuation of p38 MAPK/NF‐κB and NLRP3‐associated inflammatory signaling, highlighting bilobalide editing as a strategy for developing neuroinflammation‐modulating ...
Chanin Sillapachaiyaporn, Wenjing Wang, Yao Qin, Lili Yan, Stephan Scheeff, Xu He, Qiong Wu, Yue Lin, Jinsai Shang, Xin Ye, Jing Liu, Kailei Sun, Chun Wai Yeung, Junzhe Huang, Zhenghui Chen, Xiaodong Liu, Yiqun Geng, Shannon Wing Ngor Au, Bonaventure Y. Ip, Ho Ko, Billy Wai‐Lung Ng   +20 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

CLIP-GMC: Contrastive Language-image Pretraining Model for Few-shot Galaxy Morphology Classification

The Astronomical Journal
Galaxy morphology classification relies on precise structural feature characterization, yet expert classifications are scarce. While citizen science initiatives (e.g., Galaxy Zoo) provide millions of crowd-sourced labels, traditional supervised models ...
Handa Cai, Weibin Chen
doaj   +1 more source

No Labels Needed: Zero-Shot Image Classification with Collaborative Self-Learning

2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI)
While deep learning, including Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), has significantly advanced classification performance, its typical reliance on extensive annotated datasets presents a major obstacle in many practical scenarios where such data is scarce.
Matheus Vinícius Todescato, Joel Luís Carbonera   +1 more
openaire   +2 more sources

Few-shot Hyperspectral Image Classification using Relational Generative Adversarial Network

Hyperspectral image (HSI) classification is an essential task in remote sensing, but its performance is greatly affected by limited labeled samples.
Guo, Baoqing, Xiao, Chuangbai, Zhou, Jun, Wei, Wei, Tong, Lei   +4 more
core   +1 more source

Surfaceome Reprogramming of Stemsomes Promotes Lung Cancer Targeting via Potentiated Receptor–Ligand Interactions

Advanced Science, EarlyView.
This study presents a surfaceome‐reprogramming strategy for mutation‐independent lung cancer therapy by repurposing dexamethasone to prime mesenchymal stem cell‐derived nanovesicles. The engineered vesicles leverage multi‐valent interactions mediated by upregulated adhesion proteins, EPHA2, and NOTCH3.
Geunhye Kim, In Ah Kwon, Bo Seop Jeong, Hyo Seon Kim, Joo‐Hwan Park, Sung Jean Park, Sang‐Rae Lee, Youngki Lee, Dongwoo Khang   +8 more
wiley   +1 more source