Results 121 to 130 of about 16,703 (255)
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
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
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
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
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Transformer‐Based Contextual Modeling for Predicting Calories From Recipes
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
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
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.
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
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
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

