Results 81 to 90 of about 82,529 (316)

Volatility analysis and forecasting of vegetable prices using an ARMA‐GARCH model: An application of the CF filter and seasonal adjustment method to Korean green onions

Agribusiness, EarlyView.
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

The sensory system acts with a neuromedin U signaling pathway to mediate food type-dependent effects on lifespan [PDF]

, 2010
In order to survive, the animal uses its sensory system to interpret the complexity of its environment. Interestingly, a subset of sensory neurons, which function in taste or olfaction, has been found to influence the lifespan of C.
Adilov, Bakhtiyor
core   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Automatic Identification of Narratives: Evaluation Framework, Annotation Methodology, and Dataset Creation

IEEE Access
One of the fundamental components of understanding online discourse in social networks is the identification of narratives. For example, the analysis of disinformation campaigns requires some inference about their communication goals that, in turn ...
Jesus M. Fraile-Hernandez, Anselmo Penas, Pablo Moral   +2 more
doaj   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Using NLP meta, Milton, metaphor models, for improving the activity of the organization [PDF]

The objective of this paper is the improving of the three methods from the neuro- linguistic programming – metaphor, Milton model and the meta-model, so by using this in daily activities by an organization to improve the activities witch, are performed ...
Cornel Marian IOSIF
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Clinical burden and treatment patterns associated with Dravet or Lennox-Gastaut syndromes: A retrospective study using natural language processing of narrative unstructured electronic health records

Heliyon
Introduction: This study aimed to investigate the clinical and humanistic burden in two developmental and epileptic encephalopathies, Dravet syndrome and Lennox-Gastaut syndrome, and describe challenges related to treatment with antiseizure medications ...
Mei Lu, Dave Iwanyckyj, Sally W. Wade, Pablo Racana, Fernando Otalora, Satish Rao   +5 more
doaj   +1 more source

NLP

netbib, 2002
Kaum habe ich die Anmeldebestätigung für das hausinterne Seminar "Neurolinguistisches Programmieren" bekommen, rennt mir auch schon eine Website mit dem Thema NLP über den Weg (via editorial notes).
Edlef Stabenau
openaire   +3 more sources