Results 81 to 90 of about 1,172,362 (258)

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

Expert Validation of Thematic Modeling (BERTopic) and Subsequent Application of LLM to Selected Topics in Qualitative Research Within the Framework of Thematic Analysis

Интеракция. Интервью. Интерпретация
This article explores the application of machine learning and generative language models to the analysis of qualitative interviews. The aim of the study is to develop and validate a mixed methodology combining topic modeling (BERTopic) with expert ...
Polina Igorevna Chervotkina
doaj   +1 more source

Morphological adaptations of cervical vertebrae in plunge‐diving sulids

The Anatomical Record, EarlyView.
Abstract Foraging strategy frequently drives morphological diversification in birds. The plunge‐diving behavior of certain species makes the functional and ecological trade‐offs of variation in cervical vertebrae an especially intriguing question. This study compares cervical vertebrae across five plunge‐diving species and two non‐plunge‐diving species,
Megan L. Vandenberg, Alissa Perez, John Michael Racy, Adam P. Summers, Ed Habtour, Bart Boom   +5 more
wiley   +1 more source

Vegetable Sales Transaction Segmentation using K-Means Clustering for Sales Strategy Optimization

Sistemasi: Jurnal Sistem Informasi
Managing fresh vegetable inventory requires accurate decision-making because of its limited shelf life and variations in unit prices and sales volumes. This study aims to segment vegetable sales transactions at D2 Vegetables, a vegetable supplier, using ...
Dimas Wahyu Eko Prasetyo, Charitas Fibriani (SCOPUS ID=57192643331)   +1 more
doaj   +1 more source

Unsupervised machine learning for multi‐system adverse event pattern detection in pharmacovigilance: A proof‐of‐concept analysis of fluoroquinolone reports in FAERS

British Journal of Clinical Pharmacology, EarlyView.
. Aims Traditional pharmacovigilance detects single drug–event associations but cannot readily characterize multi‐system adverse‐event patterns such as fluoroquinolone‐associated disability. We evaluated unsupervised machine learning for this purpose, using fluoroquinolones as an exemplar.
Niaz Chalabianloo, Sheikh S. Abdullah, Kamran Sedig, Flory T. Muanda   +3 more
wiley   +1 more source

Clustering of Myopia Patients Based on Severity Level, Geographic Area, Age, and Gender Using the K-Means Algorithm: A Case Study of Indra Optik Blitar

Journal of Information and Technology
Indra Optik Blitar manages a large volume of patient medical record data that has not yet been utilized to support strategic decision-making. This study aims to cluster myopia refractive error patients based on their severity level, region, age, and ...
Ayuna Rahim Imannur, Abdi Pandu Kusuma, Wahyu Dwi Puspitasari   +2 more
doaj   +1 more source

Cluster Analysis of Circular Economy and Industrial Symbiosis Practices and Their Impact on Sustainability Performance in the Plastics Industry

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how plastics manufacturing firms can be classified according to their level of implementation of circular economy (CE) and industrial symbiosis (IS) practices and how such adoption influences sustainability performance. Using data from plastics manufacturing firms, we integrate cluster analysis with partial least squares ...
Laura Cristina Ramírez‐Rodríguez, Rafael Mora‐Contreras, Carmen Jaca, Marta Ormazabal   +3 more
wiley   +1 more source

A comparative analysis for optimal wind farm cluster identification using hopkins index and silhouette coefficient

Wind farms, intricate and sophisticated structures composed of multiple strategically positioned wind turbines, represent a remarkable feat of engineering and innovation.
Tao, Siyu, Kimutai, Victor, Feijóo Lorenzo, Andrés Elías   +2 more
core   +1 more source

Evaluating authorship distance methods using the positive Silhouette coefficient [PDF]

, 2013
Unsupervised Authorship Analysis (UAA) aims to cluster documents by authorship without knowing the authorship of any documents. An important factor in UAA is the method for calculating the distance between documents.
Watters, Paul, Dazeley, Richard, Layton, Robert   +2 more
core  

Mapping Non‐Linear ESG Trajectories in OECD Countries: A Topological Entropy Approach

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the evolution of Environmental, Social and Governance (ESG) performance across 38 OECD countries between 2010 and 2024 using a longitudinal and multi‐dimensional analytical framework. Moving beyond static ESG benchmarking approaches, it investigates how sustainability trajectories evolve under changing institutional ...
Sana Gaied Chortane, Rami Salem, Salah Ben Hamad   +2 more
wiley   +1 more source