Results 121 to 130 of about 16,703 (255)

Unveiling financial well-being: Insights from retired people in Third Age group in Poland, Spain and Denmark

open access: yesEconomics and Business Review
The study investigates the financial well-being of older people in Poland, Spain and Denmark, with a particular focus on their ability to make ends meet.
Jajko-Siwek Alicja
doaj   +1 more source

Forecasting Topic, Word, and Hashtag Popularity on X (Twitter) Using LightGBM for Digital Marketing Optimization

open access: yesJournal of Applied Informatics and Computing
This study presents a machine learning, based framework to forecast the popularity of topics, words, and hashtags on platform X (Twitter) for data-driven digital marketing optimization.
Deannisa Syafira Putri   +2 more
doaj   +1 more source

Automating Archaeological Discovery: Assessing Geospatial Artificial Intelligence (GeoAI) Tools for Stone Wall Identification in Kweneng, South Africa

open access: yesArchaeometry, EarlyView.
ABSTRACT The discovery of archaeological sites traditionally entails the utilisation of physically demanding exploration methodologies, including terrain surveying and the analysis of historical records. Recent technological developments have led to an increased use of non‐invasive remote sensing techniques, including Google Earth, LiDAR and aerial ...
Mncedisi J. Siteleki
wiley   +1 more source

ОПТИМІЗАЦІЯ ГІБРИДНИХ МОДЕЛЕЙ НА ОСНОВІ TCN, LSTM, LIGHTGBM ДЛЯ ПРОГНОЗУВАННЯ ЕНЕРГОСПОЖИВАННЯ В РОЗУМНИХ БУДИНКАХ

open access: yesКібербезпека: освіта, наука, техніка
Точне короткострокове прогнозування навантаження є ключовим завданням для ефективного управління енергоресурсами в системах розумного будинку. Гібридні моделі, що поєднують архітектури глибокого навчання (DL) та ансамблі дерев рішень, є провідним ...
Дмитро Ніщеменко
doaj   +1 more source

Transformer‐Based Contextual Modeling for Predicting Calories From Recipes

open access: yesApplied AI Letters, Volume 7, Issue 3, October 2026.
A transformer‐based regression model with token‐level attention pooling is proposed for predicting calorie content directly from unstructured recipe text. By fine‐tuning RoBERTa in an end‐to‐end manner, attention is learned to be focused on calorie‐relevant tokens such as ingredients, fats, and cooking methods.
Md. Siam Ansary, Amina Brinto
wiley   +1 more source

Predicción de concentraciones de PM2.5 y PM10 utilizando los algoritmos XGboost y LightGBM: un estudio de caso en Lima, Perú

open access: yesInterfases
La contaminación del aire es un problema importante que afecta tanto a la salud humana como al medio ambiente, causando millones de muertes prematuras anualmente en todo el mundo y degradando severamente el estado del planeta.
Johan Andrés Oblitas Mantilla   +1 more
doaj   +1 more source

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare   +3 more
wiley   +1 more source

Based on PCA and SSA-LightGBM oil-immersed transformer fault diagnosis method.

open access: yes
A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data
Jianfei Chi   +4 more
core   +1 more source

Comparison of Random Forest, XGBoost, and LightGBM Methods for the Human Development Index Classification

open access: yesJambura Journal of Mathematics
Machine learning classification is an effective tool for categorizing data based on patterns, which is particularly useful in analyzing the Human Development Index (HDI) in Indonesia. HDI serves as a key indicator of regional development progress, making
Yunna Mentari Indah   +4 more
doaj   +1 more source

Integrative Identification of Anti‐Photoaging Peptides From Stress‐Tolerant Microorganisms via Machine Learning and KEAP1–NRF2 Docking

open access: yesJournal of Peptide Science, Volume 32, Issue 8, August 2026.
Novel short‐chain peptides targeting the KEAP1‐NRF2 axis were identified through a multimodal discovery platform combining a stress‐tolerant microbial library with machine learning and molecular docking. These peptides regulate collagen synthesis and reduce MMP1/9 levels in human fibroblasts, providing significant protection against photoaging ...
Hanui Lee   +8 more
wiley   +1 more source

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