An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Techno-economic analysis and resilience enhancement of a hospital microgrid under grid outage scenarios. [PDF]
Eissa MA, Samy MM, Said M.
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Topology modeling and energy efficiency prediction of parallel chillers based on deep learning. [PDF]
Liu Y, Yang X, Zhang L, Tian Y.
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Trajectory Optimization of Airport Surface Guidance Operations for Unmanned Guidance Vehicles. [PDF]
Sun T, Wang K, Tang K, Yuan D, Zhu X.
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Enhancing Engine Performance and Sustainability: Gold Nanoparticles and Machine Learning for Biodiesel Optimization in Compression Ignition Systems. [PDF]
Gadagi A +7 more
europepmc +1 more source
A model for predicting fuel consumption of gasoline fueled road vehicles
openaire +1 more source
Design framework and optimization of portable biomedical waste decomposition systems using ANN and MOPSO. [PDF]
Bhaiswar NN +4 more
europepmc +1 more source

