Results 81 to 90 of about 34,984 (114)
Accurate sales prediction is crucial for inventory and marketing in e-commerce. Cross-border sales involve complex patterns that traditional models cannot capture.
Hao Hu, Jinshun Cai, Chenke Xu
doaj +1 more source
This research project aimed to address the growing concern about methane emissions from seaweed by developing a Convolutional Neural Network (CNN) model capable of accurately predicting these emissions.
Clifford Jaylen Louime +1 more
doaj +1 more source
Time Series Forecasts of International Tourism Demand for Australia, [PDF]
This paper examines stationary and nonstationary time series by formally testing for the presence of unit roots and seasonal unit roots prior to estimation, model selection and forecasting.
Christine Lim, Michael McAleer
core
PENERAPAN PERAMALAN PENJUALAN (SALES FORECAST) TAS RANSEL (CARRIER) SERI EIGER CLASSIC DYNO 75L SEBAGAI DASAR PENYUSUNAN PERENCANAAN PRODUKSI PADA PT. EIGERINDO MULTI PRODUK INDUSTRI [PDF]
ABSTRAK Penelitian ini bertujuan untuk membandingkan peramalan penjualan, dan perencanaan produksi versi perusahaan dengan versi metode – metode yang digunakan secara kuantitatif. PT.
Pembimbing I, Wasito., SE.,MSIE +1 more
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IS THE BOX-COX TRANSFORMATION NEEDED IN MODELING TELKOM’S STOCK PRICE USING NNAR AND DESH METHODS?
Accurate stock price forecasting requires appropriate preprocessing, particularly for time series data with high variability and nonlinear patterns.
Michela Sheryl Noven +2 more
doaj +1 more source
A hybrid deep learning and tree based approach to forecast AQI in indoor environments
The attendance, well-being and comfort of students is directly affected by the air quality in the classroom. Additionally, the performance of teachers and staff is also impacted by it.
Anurag Barthwal, Shwetank Avikal
doaj +1 more source
Forecasting from one day to one week ahead for the Spanish system operator [PDF]
This paper discusses the building process and models used by Red Eléctrica de España (REE), the Spanish system operator, in short-term electricity load forecasting. REE's forecasting system consists of one daily model and 24 hourly models with a common
Cancelo, José Ramón +2 more
core +1 more source
This research aimed to compare the performance of the Double Exponential Smoothing and Holt-Winter methods in forecasting the Farmer Exchange Rate (NTP) for the Horticulture Farmer Subsector in Aceh Province.
Zulfa Razi +3 more
doaj +1 more source
An artificial neural network (ANN) is a network of a group of units to be processed which is modeled based on the behavior of human neural networks. ANN has one of its tasks, namely prediction.
Al-Khowarizmi Al-Khowarizmi +5 more
doaj +1 more source
On the relevance of modeling volatility for pricing purposes [PDF]
This paper presents a two-factor (Vasicek-CIR) model of the term structure of interest rates and develops its pricing and empirical properties. We assume that default free discount bond prices are determined by the time to maturity and two factors, the ...
Manuel Moreno
core

