Results 121 to 130 of about 37,859 (302)

Modeling and analyzing MAPE-K feedback loops for self-adaptation

, 2015
The MAPE-K (Monitor-Analyze-Plan-Execute over a shared Knowledge) feedback loop is the most influential reference control model for autonomic and self-adaptive systems.
P. Arcaini, Paolo Arcaini, Patrizia Scandurra, P. Scandurra, Elvinia Riccobene, E. Riccobene   +5 more
core   +1 more source

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

Energy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah, Aymen Ochi, Sonia Bezi   +2 more
wiley   +1 more source

Overcoming Cell Fixture Challenges in High‐Pressure Operation of Solid‐State Batteries

Energy Science &Engineering, EarlyView.
Accurate application of high uniaxial pressure remains a limiting factor in large‐format solid‐state battery testing. A spring‐loaded fixture employing deflection‐based pressurization enables precise, homogeneous, and reproducible pressure application without expensive in‐fixture sensors, providing a robust framework for systematic investigation of ...
Lovis Wach, Constantin Ruess, Sophie Grabmann, Ruediger Daub   +3 more
wiley   +1 more source

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

Food Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang, Shuangcheng Huang, Qingbo Lu, Xinyi Guo   +3 more
wiley   +1 more source

ANALISIS LAJU PREDIKSI INFLASI DI INDONESIA: PERBANDINGAN MODEL GARCH/ARCH DENGAN LONG SHORT TERM MEMORY

Jurnal Lebesgue
Inflation is a condition wherein the general level of prices for goods and services in an economy continually rises. Predicting inflation serves as a crucial link in establishing future inflation values. The dynamic nature of inflation allows for changes
Agisna Mutiara, Nina Fitriyati, Mahmudi Mahmudi   +2 more
doaj   +1 more source

Breaking the Loop: AWARE is the New MAPE-K

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering
Self-adaptive systems have traditionally relied on the MAPE-K loop. It consists of a centralized, reactive, and sequential loop for monitoring, analyzing, planning, and executing system adaptations. However, the increasing complexity and dynamic nature of modern systems have exposed the limitations of MAPE-K loops, including their lack of proactivity ...
Sanwouo, Brell, Quinton, Clément, Temple, Paul   +2 more
openaire   +2 more sources

Pendekatan Model Fuzzy untuk Pendugaan Bobot Badan Kerbau Lumpur Berdasarkan Lingkar Dada dan Panjang Badan

, 2013
Body weight of a swamp buffalo can be determined by measuring the buffalo weight directly or indirectly. Measuring the buffalo weight directly is relatively difficult. Measuring the weight indirectly can be performed using a conventional formula or fuzzy
Sista, Ito Hadi
core  

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Problemas y desafíos de la minería de oro artesanal y en pequeña escala en Colombia

Revista Facultad de Ciencias Económicas, 2016
El objetivo del presente artículo de reflexión es analizar brevemente las condiciones sociales, políticas, económicas, tecnológicas y ambientales de la minería artesanal y en pequeña escala (MAPE) del oro en Colombia.
Freddy Hernán Pantoja Timarán, Sebastián David Pantoja Barrios   +1 more
doaj