Results 51 to 60 of about 34,984 (114)
SISTEM PERAMALAN PENGADAAN BAHAN BAKU PRODUKSI SEBLAK BASAH INSTANT MOMMYINDO DENGAN IMPLEMENTASI METODE WINTER:(Studi Kasus : Perusahaan Seblak Basah Instant Mommyindo) [PDF]
, 2016 Bisnis di kota-kota besar masih didominasi oleh bisnis kreatif, dimana termasuk di dalamnya adalah bisnis kuliner. Berdasarkan data dari Badan Pusat Statistik, pada tahun 2014 telah terjadi peningkatan pertumbuhan untuk sektor industri makanan sebesar 10,
Enlina, Auliasa
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LogiThis study presents a novel forecasting framework that integrates Genetic Algorithms (GA) with Long Short-Term Memory (LSTM) networks to enhance the prediction accuracy of passenger volumes in Thailand's public transportation systems.
Khumla Pornsiri, Sarawan Kamthorn
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Jurnal Serambi Engineering, 2022 Perishable product adalah suatu produk yang sangat rentan mengalami kerusakan salah satunya adalah cabai rawit. UD Sayur Gresik adalah salah satu usaha yang bergerak di bidang sayur yang salah satu produk nya yaitu cabai rawit berdasarkan dari plot data ...
Mochammad Anshori, Dzakiyah Widyaningrum
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Pemodelan Poisson Hidden Markov Untuk Prediksi Banyaknya Kecelakaan Di Jalan Tol Jakarta-cikampek [PDF]
, 2016 Model Poisson hidden Markov digunakan untuk memodelkan banyaknya kecelakaan yang terjadi di jalan tol Jakarta-Cikampek pada tahun 2013- 2014. Data banyaknya kecelakaan merupakan barisan observasi yang mengalami overdispersi dan bergantung pada penyebab ...
BUKHARI, F. (F) +2 more
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Forecasting PM2.5 in Malaysia Using a Hybrid Model
Aerosol and Air Quality Research, 2023 Predicting future PM2.5 concentrations based on knowledge obtained from past observational data is very useful for predicting air pollution. This paper aims to develop a hybrid forecasting model using an Artificial Neural Network (ANN) and Triple ...
Ezahtulsyahreen Ab. Rahman +3 more
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DiagnosticsBackground: Myocardial perfusion scintigraphy (MPS) is an important tool for evaluating ischemia in diabetic populations. However, applications of advanced predictive models like multivariate adaptive regression splines (MARS) to estimate summed stress ...
Chien-Han Yuan +5 more
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Transforming oil market analysis: A novel GAN + LSTM predictive framework
Next EnergyA novel method of predicting the crude oil WTI futures prices based on a data set covering April 12, 2009 through January 7, 2024. To capture complex market dynamics more precisely, it incorporates key market factors such as open, high, and low price ...
Prity Kumari +2 more
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Energy Management through Cost Forecasting for Residential Buildings in New Zealand [PDF]
, 2019 Over the last two decades, the residential building sector has been one of the largest energy consumption sectors in New Zealand. The relationship between that sector and household energy consumption should be carefully studied in order to optimize the ...
Liu, Zhansheng +2 more
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Predicting hourly heating load in residential buildings using a hybrid SSA–CNN–SVM approach
Case Studies in Thermal EngineeringThis study proposes a hybrid prediction model using sparrow search algorithm (SSA) to optimize the convolutional neural network (CNN) and support vector machine (SVM), in order to perform accurate prediction of secondary supply temperature (Ts2).
Wenhan An +4 more
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A machine learning approach to portfolio pricing and risk management for high-dimensional problems
, 2021 We present a general framework for portfolio risk management in discrete time, based on a replicating martingale. This martingale is learned from a finite sample in a supervised setting.
Fernandez-Arjona, Lucio +1 more
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