Monthly climate prediction using deep convolutional neural network and long short-term memory

Q Guo, Z He, Z Wang - Scientific Reports, 2024 - nature.com
Climate change affects plant growth, food production, ecosystems, sustainable socio-
economic development, and human health. The different artificial intelligence models are …

Deep learning model for temperature prediction: A case study in New Delhi

VK Shrivastava, A Shrivastava, N Sharma… - Journal of …, 2023 - Wiley Online Library
This study is based on temperature prediction in the capital of India (New Delhi). We have
adopted different ML models such as (MPR and DNN) which are designed and implemented …

Advanced milk production modelling using high-order generalized least deviation method

M Abotaleb, T Makarovskikh - Modeling Earth Systems and Environment, 2024 - Springer
Abstract The United States' agricultural sector depends heavily on production to
continuously supply the country's enormous demand for milk and dairy products. Despite its …

COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach

D Uzun Ozsahin, E Precious Onakpojeruo… - Diagnostics, 2023 - mdpi.com
The novel coronavirus (COVID-19), also known as SARS-CoV-2, is a highly contagious
respiratory disease that first emerged in Wuhan, China in 2019 and has since become a …

Analyzing and predicting the monthly temperature of tehran using ARIMA model, artificial neural network, and its improved variant

S Jafarian-Namin, D Shishebori… - Journal of Applied …, 2024 - journal-aprie.com
The temperature has been a highly discussed issue in climate change. Predicting it plays an
essential role in human affairs and lives. It is a challenging task to provide an accurate …

[图书][B] Autonomous agricultural vehicles: Concepts, principles, components, and development guidelines

A Roshanianfard, SF Ardabili - 2023 - taylorfrancis.com
This comprehensive guide to agricultural robots is the ideal companion for any student or
professional engineer looking to understand and develop autonomous vehicles to use on …

Statistical modeling for long-term meteorological forecasting: a case study in Van Lake Basin

Z Pala, F Şevgin - Natural Hazards, 2024 - Springer
Predicting environmental variables for a sustainable environment is vital for effective
resource management and regional development, especially in sensitive regions such as …

Relative humidity prediction with covariates and error correction based on SARIMA-EG-ECM model

J Guo, L Zhang, R Guo - Modeling Earth Systems and Environment, 2023 - Springer
RH is a physical quantity measuring atmospheric water vapor content. Predicting RH is of
great importance in weather, climate, industrial production, crops, human health, and …

Relative humidity prediction across the Indian subcontinent using Kumaraswamy distribution based non-Gaussian model

M Shad, YD Sharma, P Narula - Environmental Science and Pollution …, 2024 - Springer
Relative humidity (RH) significantly influences various aspects of human life, including
agriculture, weather prediction, indoor air quality, and energy consumption. Its intricate non …

Artificial neural networks approach for forecasting of monthly relative humidity in Sivas, Turkey

C Gurlek - Journal of Mechanical Science and Technology, 2023 - Springer
Relative humidity is a crucial parameter for various agricultural and engineering applications
and atmospheric dynamics; hence its accurate and reliable estimation is essential. This …