Results 51 to 60 of about 44,374 (263)

Automatic classification of Chinese programming MOOC reviews using fine-tuned BERTs and GPT-augmented data

Educational Technology & Society
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners’ learning.
Xieling Chen, Haoran Xie, Di Zou, Lingling Xu, Fu Lee Wang
doaj   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Scalable Video Processing and Frame Analysis System for Automated Monitoring of Chicken Behavior Based on Artificial Intelligence Technologies

Proceedings of the International Conference on Applied Innovations in IT
Modern global crises have significantly impacted the agribusiness sector, particularly poultry farming, which has experienced issues with logistics, labor shortages, and disruptions in the supply of feed and veterinary drugs.
Svitlana Antoshchuk, Oleksii Danchuk, Tetiana Kunup   +2 more
doaj   +1 more source

Artificial Intelligence Plant Doctor: Plant Disease Diagnosis Using GPT4-vision [PDF]

Research in Plant Disease
Integrated pest management is essential for controlling plant diseases that reduce crop yields. Rapid diagnosis is crucial for effective management in the event of an outbreak to identify the cause and minimize damage.
Yoeguang Hue, Jea Hyeoung Kim, Gang Lee, Byungheon Choi, Hyun Sim, Jongbum Jeon, Mun-Il Ahn, Yong Kyu Han, Ki-Tae Kim   +8 more
doaj   +1 more source

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

Advanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno, Qiangrui Dong, Marco Post, Xin Meng, Cristiano Glessi, Nynke Marije Hettema, Nidas Brandsma, Sebbe Blokhuizen, Alejandro Castañeda Garcia, Srividya Ganapathy, Thieme Schmidt, Lars van Roemburg, Bing Xu, Chun‐Ting Cho, Liedewij Laan, Miao‐Ping Chien, Daan Brinks   +16 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

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

Comparative performance of humans versus GPT-4.0 and GPT-3.5 in the self-assessment program of American Academy of Ophthalmology

Scientific Reports, 2023
To compare the performance of humans, GPT-4.0 and GPT-3.5 in answering multiple-choice questions from the American Academy of Ophthalmology (AAO) Basic and Clinical Science Course (BCSC) self-assessment program, available at https://www.aao.org/education/
Andrea Taloni, Massimiliano Borselli, Valentina Scarsi, Costanza Rossi, Giulia Coco, Vincenzo Scorcia, Giuseppe Giannaccare   +6 more
doaj   +1 more source

GPT-PPG: a GPT-based foundation model for photoplethysmography signals

Physiological Measurement
Abstract Objective. This study aims to introduce a novel generative pre-trained transformer (GPT)-based foundation model specifically tailored to photoplethysmography (PPG) signals, enabling effective adaptation to various downstream biomedical tasks. Approach.
Zhaoliang Chen, Cheng Ding, Saurabh Kataria, Runze Yan, Minxiao Wang, Randall Lee, Xiao Hu   +6 more
openaire   +3 more sources

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