Results 121 to 130 of about 120,272 (297)

Optimization of Flexural Strength of PLA Flexural Test Specimens Produced by FDM Using Taguchi L27 Orthogonal Array and Hybrid Regression Model

Journal of Polymer Science, EarlyView.
This study investigates the impact of FDM process parameters on the flexural strength of PLA components using a Taguchi L27 orthogonal array. Analysis reveals wall thickness and layer height as the primary determinants of mechanical performance. A highly accurate regression model is developed, providing a robust predictive framework to optimize 3D ...
Mehmet Şah Gültekin, Cüneyt Özdemir
wiley   +1 more source

Parameter investigation for urban surface‐energy balance: A large‐eddy simulation study

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Large eddy simulation modelling is used to investigate the variation in surface‐energy balance (SEB) across an ensemble of morphometrically identical urban geometries. The geometries have the same plan‐area fraction, vegetated fraction, and frontal‐area index, but are unique in terms of building and green‐space layout.
Christopher E. Wilson, Jonathan K. P. Shonk, Sylvia I. Bohnenstengel, Athanasios Paschalis, Maarten van Reeuwijk   +4 more
wiley   +1 more source

MODELING AND FORECASTING THE TOTAL VOLUME OF GOODS TRANSPORTED BY RAIL IN INDONESIA USING SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (SARIMA)

Barekeng
Transportation has an important role in supporting the mobility of people in Indonesia. Trains are included in the most widely used transportation category because they are effective and efficient, not only transporting passengers, trains also have a ...
Idrus Syahzaqi, Sediono Sediono, Aurellia Calista Anggakusuma, Ezha Easyfa Wieldyanisa, Sabrina Salsa Oktavia   +4 more
doaj   +1 more source

Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations

Quality and Reliability Engineering International, EarlyView.
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim, Huadong Mo, Hemanshu Pota, Daoyi Dong   +3 more
wiley   +1 more source

MODEL SELECTION FOR B-SPLINE REGRESSION USING AKAIKE INFORMATION CRITERION (AIC) METHOD FOR IDR-USD EXCHANGE RATE PREDICTION

Barekeng
Exchange rate data is a collection of information about the exchange rate the foreign currency which collected by time. Autoregressive Integrated Moving Average (ARIMA) is a well-known time series analysis.
Indriani Wahyu Nur Pratiwi, Sri Utami Zuliana   +1 more
doaj   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Forecasting the Financial Times Stock Exchange Bursa Malaysia Kuala Lumpur Composite Index Using Geometric Brownian Motion

Journal of Computing Research and Innovation, 2018
In Malaysia, Financial Times Stock Exchange (FTSE) of Bursa Malaysia Kuala Lumpur Composite Index (FBMKLCI) provides charts, companies’ profile and other market data to help the local and foreign investors to make decisions involving their investments ...
Teoh Yeong Kin, Suzanawati Abu Hasan, Nashni Hamdan   +2 more
doaj  

COMPARATIVE ANALYSIS OF FUZZY TIME SERIES CHEN AND MARKOV CHAIN METHODS FOR FORECASTING ELECTRICITY CONSUMPTION IN MATARAM CITY

Barekeng
The consumption of electrical energy continues to experience fluctuations every month, and these fluctuations cannot be accurately predicted. This uncertainty can become a problem if not projected and planned effectively.
Nirwanto Nirwanto, Syamsul Bahri, Lisa Harsyiah   +2 more
doaj   +1 more source

Ecological and Technological Insights to Enhance Rice Production: A Machine Learning Approach for Sustainable Agriculture in Granma, Cuba

Sustainable Development, EarlyView.
ABSTRACT Amid the quest for sustainable agriculture, this study explores key ecological and technological factors influencing crop production under climate change. We conduct a comprehensive assessment of temperature, biomass, farmer education, renewable energy devices, greenhouse gas emissions and their effects on rice yields in Granma, Cuba, from ...
Afzal Ahmed Dar, Zhi Chen, Sergio RodrIguez‐Rodríguez, Fariborz Haghighat, Chunjiang An, Roberto Alejandro García Reyes, Beatriz González‐Rosales   +6 more
wiley   +1 more source

Effect of microscopy-assisted portoenterostomy (MAPE) for biliary atresia

Pediatric surgery international (Print), 2021
T. Ueno, T. Kodama, Yuki Noguchi, Motonari Nomura, R. Saka, Y. Takama, Y. Tazuke, K. Bessho, H. Okuyama   +8 more
semanticscholar   +1 more source