Results 201 to 210 of about 1,376,548 (306)

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
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, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Design and testing of a soil-dividing device for a pineapple strip-tillage furrower. [PDF]

PLoS One
Sun H, Zhang W, Wang H, Li H, Sun P, Zou H, Wang C, Lu M, Xue Z.   +8 more
europepmc   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

Machine learning-assisted Raman spectroscopy for non-destructive analysis of crude palm oil quality. [PDF]

NPJ Sci Food
Adade SYS, Agyekum AA, Nunekpeku X, Johnson NAN, Ekumah JN, Kwadzokpui BA, Lin H, Li H, Chen Q.   +8 more
europepmc   +1 more source

Species Coexistence Mechanisms in Tropical Forests

Tropical forests support the highest species richness of any terrestrial biome -- a single hectare of Amazonian or Borneanrainforest may harbour 300-400 tree species, versus 30-50 in temperate deciduous forests -- yet the mechanismsmaintaining this extraordinary diversity against competitive exclusion remain among the most debated questions inecology ...
Nina Popescu, Lea Muller, Elena Horvath
openaire   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

AI-based analysis of key predictors of CO₂ emissions across income groups. [PDF]

iScience
Fannouch R, Tounsi S.
europepmc   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

Co-Expression Modules and Core Regulatory Factors Linked to Maize Abiotic Stress Resistance Under the Compound Agroecological Stress Index in Southwest China. [PDF]

Plants (Basel)
Yang Y, Zhang H, Wang L, Li J, Liu J, Liu Y, Shen H, Yin Z.   +7 more
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source