Results 51 to 60 of about 42,250 (218)
A new hybrid model SARIMA-ETS-SVR for seasonal influenza incidence prediction in mainland China
Journal of Infection in Developing Countries, 2023 Introduction: Seasonal influenza is a serious public health issue in China. This study aimed to develop a new hybrid model for seasonal influenza incidence prediction and provide reference information for early warning management before outbreaks ...
Daren Zhao, Ruihua Zhang
doaj +1 more source
Perbandingan Metode Fuzzy TIME Series dan Holt Double Exponential Smoothing pada Peramalan Jumlah Mahasiswa Baru Institut Pertanian Bogor [PDF]
, 2013 Peramalan merupakan kegiatan memprediksi nilai suatu variabel di masa yang akan datang. Tujuan penelitian ini adalah memprediksi jumlah mahasiswa baru Institut Pertanian Bogor dengan menggunakan metode fuzzy time series dan metode pemulusan eksponensial ...
BUKHARI, F. (F) +2 more
core +2 more sources
Advanced Intelligent Systems, EarlyView.Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi +3 more
wiley +1 more source
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
doaj +1 more source
IEEE Access, 2023 Cryptocurrency is a popular digital currency due to its security and peer-to-peer transferability. Predicting cryptocurrency prices is crucial for investors and traders to make informed decisions on buying, selling, or holding cryptocurrencies based on ...
Sibtain Syed +5 more
doaj +1 more source
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
core +1 more source
British Journal of Clinical Pharmacology, EarlyView.This systematic review identified 112 population pharmacokinetic models of vancomycin in neonates and children. To support rational model selection for model‐informed precision, we developed and applied expert‐driven, transparent criteria that integrate both methodological rigour and clinical relevance.
Zoë Vander Elst +8 more
wiley +1 more source
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
doaj +1 more source
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
core
Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges
Biotechnology and Bioengineering, EarlyView.ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz +3 more
wiley +1 more source