DESCINet: A hierarchical deep convolutional neural network with skip connection for long time series forecasting
AQB Silva, WN Gonçalves, ET Matsubara - Expert Systems with …, 2023 - Elsevier
Time series forecasting is the process of predicting future values of a time series from
knowledge of its past data. Although there are several models for making short-term …
knowledge of its past data. Although there are several models for making short-term …
The impact of natural resource management, innovation, and tourism development on environmental sustainability in low-income countries
B Farrukh, I Younis, C Longsheng - Resources Policy, 2023 - Elsevier
Natural resource depletion and the effects of global warming on the environment have
emerged as urgent worldwide challenges. Many countries have responded by implementing …
emerged as urgent worldwide challenges. Many countries have responded by implementing …
Machine Learning for Smart Irrigation in Agriculture: How Far along Are We?
The management of water resources is becoming increasingly important in several contexts,
including agriculture. Recently, innovative agricultural practices, advanced sensors, and …
including agriculture. Recently, innovative agricultural practices, advanced sensors, and …
Modeling industrial energy demand in relation to subsector manufacturing output and climate change: artificial neural network insights
The study aims to adopt an artificial neural network (ANN) for modeling industrial energy
demand in Taiwan related to the subsector manufacturing output and climate change. This is …
demand in Taiwan related to the subsector manufacturing output and climate change. This is …
Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2
MA Merchant - Advances in Space Research, 2023 - Elsevier
Lakes and ponds are extensive features throughout the circumpolar region, spanning a
broad range of environmental conditions which controls their hydro-ecological processes …
broad range of environmental conditions which controls their hydro-ecological processes …
How Australia's economy gained momentum because of Covid‐19
The objective of the paper is to assess the resilience of the economy of Australia following
the Covid‐19 pandemic that hit the global economy in Q4 2019, in years 2020, 2021 and …
the Covid‐19 pandemic that hit the global economy in Q4 2019, in years 2020, 2021 and …
Measuring the resilience to the Covid-19 pandemic of Eurozone Economies with their 2050 forecasts
This paper measures the resilience of Eurozone economies following the economic shock of
the Covid-19 pandemic that hit the global economy. Q2 2022 to Q4 2050 real GDP forecasts …
the Covid-19 pandemic that hit the global economy. Q2 2022 to Q4 2050 real GDP forecasts …
Innovative trend analysis for evaluation of groundwater storage in Baitarani River Basin
Groundwater plays an important role in our environment. In recent decades, groundwater-
related issues within the river basin are significantly increasing in most part of the world. It is …
related issues within the river basin are significantly increasing in most part of the world. It is …
SeqOAE: Deep sequence-to-sequence orthogonal auto-encoder for time-series forecasting under variable population sizes
This paper presents a novel approach to modeling non-linear time-series data in which the
population size changes over observation time. This is a common phenomenon when …
population size changes over observation time. This is a common phenomenon when …
Using correlation analysis to examine the impact of Covid-19 pandemics on various socioeconomic aspects: Case study of Indonesia
This paper diagnoses the determination of Covid-19 on economic and social aspects in
Indonesia. Panel data collected from 34 provinces in Indonesia for the 2020-2023 period …
Indonesia. Panel data collected from 34 provinces in Indonesia for the 2020-2023 period …