Results 51 to 60 of about 2,690,170 (252)

Gallium Microalloying in Bi–Sn Solders: Interfacial Phase Formation, Wettability, and Long‐Term Shear Reliability Under Isothermal Aging

Advanced Engineering Materials, EarlyView.
Gallium microalloying redirects interfacial reactions in low‐temperature Bi–Sn solders from Cu–Sn toward Cu–Ga intermetallic formation. The resulting Cu–Ga layer suppresses intermetallic growth during thermal aging, alters fracture pathways, and improves interfacial stability.
Iva Králová, Markéta Klimtová, Mohd Faizul Mohd Sabri, Yew Hoong Wong, Petr Veselý, Martin Plaček, Karel Dušek   +6 more
wiley   +1 more source

Engineering Antigen Density on M13 Bacteriophage for Personalized Nanovaccine

Advanced Healthcare Materials, EarlyView.
Increasing antigen density on the phage capsid impacts phage uptake and antigen cross‐presentation by antigen‐presenting cells, leading to enhanced activation of antitumor CD8+ T cells in the draining lymph nodes. These activated CD8+ T cells subsequently recognize the antigen‐expressing tumors and mediate their specific cytotoxic killing, thereby ...
Shengnan Huang, Allison Madow, Jack Rudrum, Huaiyao Peng, Hao Nghi Luu, Peiyan Dong, Jifa Qi, Angela M. Belcher   +7 more
wiley   +1 more source

Training dataset splits for the Named Entity Recognition (NER) task.

, 2023
Training dataset splits for the Named Entity Recognition (NER) task.
Kenneth E. Schackart III (17468593), Charles E. Cook (17468599), Heidi J. Imker (2031736), Ana-Maria Istrate (17468596)   +3 more
core   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Named Entity Recognition and Named Entity Linking on Esports Contents [PDF]

Annals of computer science and information systems, 2020
Ziyu Liu, Yifan Leng, Meiqi Wang, Congzhu Lin   +3 more
doaj   +1 more source

Research Progress of Multimodal Named Entity Recognition [PDF]

Zhengzhou Daxue xuebao. Gongxue ban
In order to solve the problems in studies of multimodal named entity recognition, such as the lack of text feature semantics, the lack of visual feature semantics, and the difficulty of graphic feature fusion, a series of multimodal named entity ...
WANG Hairong, XU Xi, WANG Tong, JING Boxiang   +3 more
doaj   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Named entity recognition approaches [PDF]

, 2008
Recognizing and extracting exact name entities, like Persons, Locations and Organizations are very useful to mining information from text. Learning to extract names in natural language text is called Named Entity Recognition (NER) task.
Mamat, Ali, Affendey, Lilly Suriani, Mansouri, Alireza   +2 more
core   +1 more source

Precision and Recall for named-entity recognition.

, 2019
Precision and Recall for named-entity recognition.
Milana Frenkel-Morgenstern (10186), Alessandro Gorohovski (7299962), Lars Juhl Jensen (850), Somnath Tagore (456311)   +3 more
core   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source