Results 111 to 120 of about 8,388 (214)

Named Entity Recognition for Medical Records of Heart Failure Using a Pre-trained BERT Model

Journal of Applied Informatics and Computing
This study aims to develop a Named Entity Recognition (NER) model based on a pre-trained BERT model for medical records of heart failure patients. The focus of this research is to classify essential medical entities from unstructured medical record texts.
Mikael Triartama Manurung, I Gusti Ngurah Lanang Wijayakusuma, I Putu Winada Gautama   +2 more
doaj   +1 more source

Controlling Film Formation in Inkjet‐printed MAPbBr3 Through Graphene Incorporation for Enhanced Photodetection

Advanced Materials Technologies, EarlyView.
This work highlights the impact of incorporating graphene nanoflakes into precursor inks of MAPbBr3 for inkjet‐printed optoelectronic device applications. A substantial modification of the crystallization dynamics is reported despite miniscule concentrations.
Kenneth Lobo, Javier Bartolomé, María Vila, Giovanni Vescio, Raúl I. Sánchez‐Alarcón, Junaid Khan, Júlia Marí Guaita, Francisco Palacio Bonet, Juan P. Martínez‐Pastor, Sergi Hernández, Blas Garrido, Carmen Coya, Albert Cirera   +12 more
wiley   +1 more source

Transformers meets neoantigen detection: a systematic literature review

Journal of Integrative Bioinformatics
Cancer immunology offers a new alternative to traditional cancer treatments, such as radiotherapy and chemotherapy. One notable alternative is the development of personalized vaccines based on cancer neoantigens.
Machaca Vicente, Goyzueta Valeria, Cruz María Graciel, Sejje Erika, Pilco Luz Marina, López Julio, Túpac Yván   +6 more
doaj   +1 more source

INFLUENCE OF DATA AUGMENTATION ON NAMED ENTITY RECOGNITION USING TRANSFORMER-BASED MODELS

Електроніка та інформаційні технології
Transformer-based models have demonstrated their effectiveness for natural language processing tasks. Training these models requires huge amounts of textual data.
Bohdan Pavlyshenko, I. Drozdov
doaj   +1 more source

Harnessing Ultrafast Optical Pulses for 3D Microfabrication by Selective Tweezing and Immobilization of Colloidal Particles in an Integrated System

Advanced Photonics Research, Volume 6, Issue 5, May 2025.
Microfabrication using nano‐ to micron‐sized blocks has transformative potential for next‐gen electronics, optoelectronics, and materials. Traditional methods are limited by scalability and precision. STIC, a single‐laser system for precise colloid manipulation and immobilization using femtosecond lasers, is introduced that enables efficient 3D ...
Krishangi Krishna, Jieliyue Sun, Wenyu Liu, Robert H. Hurt, Kimani C. Toussaint Jr.   +4 more
wiley   +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

Domain adaptive English aspect word extraction method based on bidirectional long and short-term memory network and multi-head attention mechanism

Journal of Applied Science and Engineering
English aspect word extraction is a core task of aspect level sentiment analysis. With the continuous development of social networks, more users tend to make decisions based on comment text, and pay more attention to the details of comment text ...
Tianxiao Wang
doaj   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Research on feature extraction of unstructured large power texts

Zhejiang dianli
Large power texts contain numerous abbreviations of technical terms， alternative names， and irregular expressions. Existing word segmentation tools often fail to identify specialized vocabulary in the electrical engineering field， significantly hindering
WANG Jiakai, HUANG Peizhuo, LI Yongle, SHENG Shuang, LIU Yang, ZHENG Ling, WEI Zhenhua   +6 more
doaj   +1 more source