ARIMA vs LSTM on NASDAQ stock exchange data

D Kobiela, D Krefta, W Król, P Weichbroth - Procedia Computer Science, 2022 - Elsevier
This study compares the results of two completely different models: statistical one (ARIMA)
and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are …

Forecasting of tilapia (Oreochromis niloticus) production in Bangladesh using ARIMA model

MAB Siddique, B Mahalder, MM Haque, MH Shohan… - Heliyon, 2024 - cell.com
Tilapia farming has expanded rapidly in Bangladesh over the years thanks to a suitable
climate for aquaculture and a consistently increasing demand for the fish rich in vitamins and …

ANALISA DERET WAKTU CURAH HUJAN DAN KARAKTERISTIK IKLIM DI KOTA MAJALENGKA

F Yustiana, N Ibrahim - Jurnal Teknik Sipil, 2023 - jurnal.usk.ac.id
Pemanasan global bukan lagi issue karena sudah menunjukkan dampak yang nyata.
Peningkatan suhu pasti mengubah karakteristik hujan dan menimbulkan cuaca ekstrem …

Modeling partial least square of users loyalty on the public hospital in Malang of Indonesia

S Harini, S Handoyo, AA Salsabil… - … of Engineering and …, 2020 - repository.uin-malang.ac.id
The hospital as one of the health service institutions must be able to improve the quality of
services for the community in order to obtain the highest level of health. The purposes of this …

Anticipating the Scarcity of Food Commodity to Sufficient Availability for the Community in East Java with a Comparison Approach to Forecasting Artificial Neural …

A Widodo, DW Brata, N Rakhmawati… - Brawijaya …, 2023 - atlantis-press.com
This research was conducted to predict food commodity prices which include beef prices,
medium quality rice price data, chicken egg prices, sugar prices, branded cooking oil prices …