Results 131 to 140 of about 48,097 (299)

Advancing Artificial Intelligence in Myopia Management: From Predicting Progression to Supporting Clinical Decisions

Med Research, EarlyView.
The AI‐enabled multimodal framework for whole‐life myopia management. Graphical abstract illustrates the transition of myopia care from premyopia to myopia, high myopia, and pathologic myopia. Multimodal data, including demographic and refractive information, genetic, behavioral and environmental factors, ophthalmic imaging, and omics profiles, can be ...
Zewei Zhang, Yun Wang, Lifei Zhang, Dongmei Chen, Weijie Zhang, Fang Li, Jibo Zhou   +6 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

Another Look at Measures of Forecast Accuracy [PDF]

We discuss and compare measures of accuracy of univariate time series forecasts. The methods used in the M-competition and the M3-competition, and many of the measures recommended by previous authors on this topic, are found to be inadequate, and many of
Anne B. Koehler, Rob J. Hyndman
core  

Machine Learning‐Guided Design of Cu–Ni–Sn Alloys With Tailored Ni3Sn/Ni3Sn2 Precipitates

Materials Genome Engineering Advances, EarlyView.
To address the trade‐off between strength and conductivity in Cu–Ni–Sn alloys, this study proposes a new closed‐loop design strategy that integrates machine learning, thermodynamic calculations, and experimental verification from the perspective of “phase selectivity”, providing a new approach for multiphase control and synergistic improvement of multi‐
Fei Tan, Wei Chen, Jingpeng Yu, Jiaqi Lan, Zixuan Zhao, Yanbin Jiang, Zhu Xiao, Wenqin Xu, Meng Wang, Guofu Xu, Zhou Li   +10 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

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

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

An Integrated Statistical and Machine Learning Framework for Predicting the Dry Sliding Tribological Behavior of CFRP and GFRP Composites Under Environmental Aging and Loading Conditions

Polymer Composites, EarlyView.
The graphical abstract presents the experimental and data‐driven framework used to investigate the dry sliding tribological behavior of CFRP and GFRP composites. The effects of seawater, engine oil, diesel fuel, aging time, and normal load on the specific wear rate (SWR) and coefficient of friction (COF) were evaluated using pin‐on‐disc tests, ANOVA ...
Ahmet Saylık, İhsan Tuğal, Şemsettin Temiz   +2 more
wiley   +1 more source

Solids Conveying in Injection Molding Machines—Analytical Model for Smooth and Grooved Feed Sections Derived From DEM Simulations

Polymer Engineering &Science, EarlyView.
Understanding Solids Conveying in Injection Molding Machines – Dimensions. ABSTRACT Solids conveying is a key aspect for the design of polymer processing machines, especially for processes with high screw speeds, grooved feed sections, and material with low bulk density.
Jan Landgraeber, Volker Schoeppner, Dennis Kleinschmidt, Dominik Jonek, Nils Grieger   +4 more
wiley   +1 more source

Enumeració de mapes planaris

, 2020
Al llarg d'aquest treball s'estudiarà l'enumeració dels mapes planaris arrelats i mapes planaris arrelats bipartits amb n arestes a partir del mètode simbòlic i mètode quadràtic introduït per Tutte. A més, aquests dos resultats serviran per construir bijeccions per comptar el nombre de quadrangulacions arrelades amb n cares, mapes planaris arrelats ...
openaire   +1 more source