Riparian habitat quality and seasonality drives spatiotemporal habitat ecology of sympatric Asian otters in southern Western Ghats

A Moun, T Ramesh, R Kalle - Frontiers in Mammal Science, 2024 - frontiersin.org
Introduction Riparian habitats in the Western Ghats are vital semi-terrestrial zones playing
multi-functional roles in the conservation of freshwater species. In dynamic ecosystems, we …

Forecasting the Number of Ship Passengers with SARIMA Approach (A Case Study: Semayang Port, Balikpapan City)

M Multiningsih, E Siswanah… - JTAM (Jurnal Teori dan …, 2022 - journal.ummat.ac.id
From year to year, the number of ship passengers at Semayang Port, Balikpapan city tends
to fluctuate. It also doubles in certain months and repeats every year. Sea transportation …

[PDF][PDF] A Conceptual Machine Learning Approach for Rainfall Pattern Prediction in Umuahia Metropolis

EC Agina, UD George, PU Usip - 2024 - researchgate.net
The erratic nature of rainfall in Umuahia metropolis of Abia State, Nigeria due to the constant
variations in atmospheric conditions, results in extreme weather conditions such as drought …

Forecasting of Monthly Closing Water Level of Angat Dam in the Philippines: SARIMA Modeling Approach

A Tejada Jr, MS Talento, LP Ebal, C Villar… - Journal of …, 2023 - ovcre.uplb.edu.ph
The operation and management of Angat Dam as a multipurpose dam for domestic,
irrigation, power, and flood control purposes, is governed by the operation rule curve of dam …

Does bootstrap** the remainder component of seasonal time series improve forecasting using SARIMA model? An application to rainfall data

PM Osei - Modeling Earth Systems and Environment, 2022 - Springer
Many time series exhibit both trends and seasonal patterns. Accounting accurately for such
seasonal patterns in time series goes a long way to improve forecasting accuracy of …

[PDF][PDF] DATA AND COMPUTER CENTER PREDICTION OF USAGE AND COST

GF MATEUS - 2023 - run.unl.pt
In recent years, Cloud computing usage has considerably increased and, nowadays, it is the
backbone of many emerging applications. However, behind cloud structures, we have …

Data and Computer Center Prediction of Usage and Cost: An Interpretable Machine Learning Approach

GF Mateus - 2023 - search.proquest.com
In recent years, Cloud computing usage has considerably increased and, nowadays, it is the
backbone of many emerging applications. However, behind cloud structures, we have …

A Study of ARIMA Model to Safeguard the Quality of Soil in the Drip Irrigation System

S Mohurle, S Gedam - International Conference on Communication and …, 2023 - Springer
Abstract The Auto-Regressive Integrated Moving Average is a time series statistical tool that
evaluates the change in the value of a variable over a given period of time. It helps to predict …

Fractal Scaling Properties in Rainfall Time Series: A Case of Thiruvallur District, Tamil Nadu, India

IL Kane, VM Suresh - Groundwater Management and Resources, 2021 - books.google.com
In the present study, the features of rainfall time series (1971–2016) in 9 meteorological
regions of Thiruvallur, Tamil Nadu, India that comprises Thiruvallur, Korattur_Dam, Ponneri …

Identification of Auto Regressive Model Parameter for Rainfall Forecasting in Baleswar District of Odisha

I Roy, B Das - … in Sustainable Infrastructure (ICRDSI-2020)—GEO …, 2022 - Springer
Rainfall plays an important role in the success of agriculture through adequate surface
storage and groundwater recharge. Besides, it also creates havoc due to high intensity …