[1]
|
Forecasting monthly rainfall using hybrid time-series models and Monte Carlo simulation amidst security challenges: a case study of five districts from northern Nigeria
Environment, Development and Sustainability,
2024
DOI:10.1007/s10668-024-04516-6
|
|
|
[2]
|
Forecasting Southwest Indian Monsoon Rainfall Using the Beta Seasonal Autoregressive Moving Average ($$\beta$$SARMA) Model
Pure and Applied Geophysics,
2023
DOI:10.1007/s00024-022-03217-3
|
|
|
[3]
|
Statistical evaluation of snow accumulation and depletion from remotely sensed MODIS snow time series data using the SARIMA model
Journal of Water Supply: Research and Technology-Aqua,
2023
DOI:10.2166/aqua.2023.231
|
|
|
[4]
|
Climate Change Impacts on Nigeria
Springer Climate,
2023
DOI:10.1007/978-3-031-21007-5_22
|
|
|
[5]
|
Forecasting call center arrivals using temporal memory networks and gradient boosting algorithm
Expert Systems with Applications,
2023
DOI:10.1016/j.eswa.2023.119983
|
|
|
[6]
|
Forecasting call center arrivals using temporal memory networks and gradient boosting algorithm
Expert Systems with Applications,
2023
DOI:10.1016/j.eswa.2023.119983
|
|
|
[7]
|
Long-range, time-varying statistical prediction of annual precipitation in a Mediterranean remote site
Environmental Research: Climate,
2023
DOI:10.1088/2752-5295/acffe9
|
|
|
[8]
|
Forecasting arabica coffee yields by auto-regressive integrated moving average and machine learning approaches
AIMS Agriculture and Food,
2023
DOI:10.3934/agrfood.2023057
|
|
|
[9]
|
Geometric Brownian Motion-Based Time Series Modeling Methodology for Statistical Autocorrelated Process Control: Logarithmic Return Model
International Journal of Mathematics and Mathematical Sciences,
2022
DOI:10.1155/2022/4783090
|
|
|
[10]
|
A novel time series clustering method with fine-tuned support vector regression for customer behavior analysis
Expert Systems with Applications,
2022
DOI:10.1016/j.eswa.2022.117584
|
|
|
[11]
|
Does bootstrapping the remainder component of seasonal time series improve forecasting using SARIMA model? An application to rainfall data
Modeling Earth Systems and Environment,
2022
DOI:10.1007/s40808-022-01399-2
|
|
|
[12]
|
Time series Modeling and Forecasting of Expected Monthly Rainfall in Some Regions of Northern Nigeria Amid Security Challenges
2022 3rd International Informatics and Software Engineering Conference (IISEC),
2022
DOI:10.1109/IISEC56263.2022.9998189
|
|
|
[13]
|
A Modeling Methodology for Positive Autocorrelated Process Data
2022 International Conference on Computer and Drone Applications (IConDA),
2022
DOI:10.1109/ICONDA56696.2022.10000275
|
|
|
[14]
|
A novel time series clustering method with fine-tuned support vector regression for customer behavior analysis
Expert Systems with Applications,
2022
DOI:10.1016/j.eswa.2022.117584
|
|
|
[15]
|
Analysis and forecasting of rainfall trends in semi-arid Bundelkhand region of Madhya Pradesh, India: using statistical methods
Environmental Earth Sciences,
2022
DOI:10.1007/s12665-021-10159-x
|
|
|
[16]
|
Bagging Machine Learning Algorithms: A Generic Computing Framework Based on Machine-Learning Methods for Regional Rainfall Forecasting in Upstate New York
Informatics,
2021
DOI:10.3390/informatics8030047
|
|
|
[17]
|
A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting
2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA),
2021
DOI:10.1109/IISA52424.2021.9555520
|
|
|
[18]
|
Time series prediction of seasonal precipitation in Iran, using data-driven models: a comparison under different climatic conditions
Arabian Journal of Geosciences,
2021
DOI:10.1007/s12517-021-06910-0
|
|
|
[19]
|
Forecasting Weekly Rainfall Using Data Mining Technologies
2020 From Innovation to Impact (FITI),
2020
DOI:10.1109/FITI52050.2020.9424877
|
|
|
[20]
|
Semi-empirical prediction method for monthly precipitation prediction based on environmental factors and comparison with stochastic and machine learning models
Hydrological Sciences Journal,
2020
DOI:10.1080/02626667.2020.1784901
|
|
|
[21]
|
Spatial forecasting of solar radiation using ARIMA model
Remote Sensing Applications: Society and Environment,
2020
DOI:10.1016/j.rsase.2020.100427
|
|
|
[22]
|
Evaluation of Machine Learning approach in flood prediction scenarios and its input parameters: A systematic review
IOP Conference Series: Earth and Environmental Science,
2020
DOI:10.1088/1755-1315/479/1/012038
|
|
|
[23]
|
Rainfall prediction using backpropagation algorithm optimized by Broyden-Fletcher-Goldfarb-Shanno algorithm
IOP Conference Series: Materials Science and Engineering,
2019
DOI:10.1088/1757-899X/567/1/012008
|
|
|
[24]
|
Beyond Traditional Probabilistic Methods in Economics
Studies in Computational Intelligence,
2019
DOI:10.1007/978-3-030-04200-4_40
|
|
|
[25]
|
Trend analysis and ARIMA modeling for forecasting precipitation pattern in Wadi Shueib catchment area in Jordan
Arabian Journal of Geosciences,
2019
DOI:10.1007/s12517-018-4205-z
|
|
|
[26]
|
Auto-regressive integrated moving average (ARIMA) modeling of cocoa production in Nigeria: 1900-2025
Journal of Crop Improvement,
2019
DOI:10.1080/15427528.2019.1610534
|
|
|
[27]
|
Prediction of Flow Flooding in Changhua River Based on Time Series Models
2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC),
2019
DOI:10.1109/IAEAC47372.2019.8997994
|
|
|
[28]
|
Knowledge Science, Engineering and Management
Lecture Notes in Computer Science,
2018
DOI:10.1007/978-3-319-99247-1_42
|
|
|
[29]
|
Modeling and forecasting rainfall patterns of southwest monsoons in North–East India as a SARIMA process
Meteorology and Atmospheric Physics,
2017
DOI:10.1007/s00703-017-0504-2
|
|
|
[30]
|
ARIMA modelling and forecasting of water level in the middle reach of the Yangtze River
2017 4th International Conference on Transportation Information and Safety (ICTIS),
2017
DOI:10.1109/ICTIS.2017.8047762
|
|
|
[31]
|
Analysis of Electric Load Data Based on Time Series
Advances in Applied Mathematics,
2016
DOI:10.12677/AAM.2016.52028
|
|
|