Soil and vegetation property data from the Ultuna R3-RAM56 long-term soil amendment experiment, 1956–2023SND by Grace Pold, Emme MacDonald, Sabina Braun, Anke M. Herrmann

“…The data presented here provides the backbone for numerous published studies in international peer-reviewed journals, and provides a useful time series for calibrating models of soil carbon and nitrogen stocks under varying agricultural management practices in relation to soil amendments.…”
Get full text

PV Power Forecasting in the Hexi Region of Gansu Province Based on AP Clustering and LSTNet by Xujiong Li, Guoming Yang, Jun Gou

“…It consists of a combination of affinity propagation clustering and long-term and short-term time series network models. First, the affinity propagation algorithm is used to divide the regionally distributed photovoltaic station clusters into different seasons. …”
Get full text

Superconducting Gravimeter Calibration by CoLocated Gravity Observations: Results from GWR C025 by Bruno Meurers

“…Based on these results the gravity time series of VI and CO have been analyzed. The respective amplitude factors for O1, K1, and M2 agree almost perfectly at both stations after correcting for ocean loading effects. …”
Get full text

A Hybrid Deep Learning Framework for Network Flow Forecasting of Power Grid Enterprise by Xin Huang, Ting Hu, Pei Pei, Qin Li, Xin Zhang

“…The network flow series in power grid enterprise always contain complex patterns and outliers, and VMD is applied to adaptively process complex net flow time series into several subseries with simpler patterns. …”
Get full text

Estimation of Groundwater Storage Change and Groundwater Recharge Using GRACE data in Jedeb Watershed Under the Application of Google Earth Engine by Tade Mule Asrade, Mulu Sewinet Kerebih, Natnael Yasab Assefa

“…The groundwater recharge is estimated from a time series of groundwater storage using the water table fluctuation method. …”
Get full text

Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network by Ruyi Yang

“…The neural network can approximate the nonlinear function with arbitrary precision, and the time series prediction model based on the neural network can well reflect the nonlinear development trend of information. …”
Get full text

Effects of zooplankton abundance on the spawning phenology of winter-spawning Downs herring (Clupea harengus). by Paul Marchal, Carolina Giraldo, David Johns, Sébastien Lefebvre, Christophe Loots, Lola Toomey

“…A two-tiered approach building on the monthly distribution of commercial herring landings was developed, which consisted of, (1) calculating the timing and duration of spawning season based on estimated deviations from basic harmonic signals and, (2) analysing their inter-annual variations in relation to biotic (zooplankton abundance) and abiotic (temperature) environmental variables through time series analyses. The start, midpoint and ending of herring spawning season were increasingly delayed over the period 1999-2021, a process which was correlated with the abundance of Calanus finmarchicus. …”
Get full text

A Digital Twin Comprehensive Monitoring System for Ship Equipment by Miao Zhe, Zhao Yong, Su Shaojuan, Song Nanzhe

“…Through data-driven models and operational monitoring system analysis, our PSO-SVM-based time series prediction method demonstrated excellent predictive capabilities for catamaran equipment, achieving efficient fault warnings using a threshold method. …”
Get full text

Effect of Inflation on Export Earnings in Uganda (1990-2022). by Eyanu, Daniel

“…The study employed a quantitative approach with Descriptive Correlational Design to analyze secondary time series data generated from the World Development Indicators to test the relationship between exchange rates, Tariff rates, and Inflation on export earnings. …”
Get full text

Trade Openness and Economic Growth in Uganda (1986-2022). by Kobusingye, Judith

“…The study employed a quantitative approach with Descriptive Correlational Design to analyze secondary time series data generated from the world Development Indicators to test the relationship between government expenditure, export earnings and Trade openness on Economic Growth. …”
Get full text

TRADE POLICY AND PERFORMANCE OF EXPORT MANUFACTURING INDUSTRIES by Nafiu, Lukman Abiodun, Maiga, Issaka Hamadi

“…This study examines the impact of trade policy and performance of export manufacturing industries. It adopts time series data on a number of policy variables to determine their impacts on the manufacture exports as well as their significance or otherwise in stimulating export. …”
Get full text

Characterization of RAP Signal Patterns, Temporal Relationships, and Artifact Profiles Derived from Intracranial Pressure Sensors in Acute Traumatic Neural Injury by Abrar Islam, Amanjyot Singh Sainbhi, Kevin Y. Stein, Nuray Vakitbilir, Alwyn Gomez, Noah Silvaggio, Tobias Bergmann, Mansoor Hayat, Logan Froese, Frederick A. Zeiler

“…After leveraging the time-series structure of RAP, similar methods were applied to ICP and AMP for comparison with RAP. …”
Get full text

Analysis of Land Use Changes In the period 2018-2005 in Nazloo District of Urmia City by Sahar Mehrran, Ali Akbar Taghilou, Khadijeh Javan

“…Analysis of land use change in Nazlou district of Urmia in the 2005-2018 time series Abstract Population growth, increased prosperity, the spread of technology, and the improper use of land have in recent decades imposed many changes on land. …”
Get full text

TAXATION AND ECONOMIC DEVELOPMENT IN NIGERIA by Adebowale Ogunsola

“…Therefore, this study investigated the influence of taxation on the economic development in Nigeria. The study adopted time series research method. The data used were obtained from secondary sources, which covered a period from 2015 to 2022. …”
Get full text

Mine water inflow prediction model based on variational mode decomposition and gated recurrent units optimized by improved chimp optimization algorithm by Juntao Chen, Mingjin Fan

“…To improve the accuracy of mine water prediction, this paper proposes the VMD-iCHOA-GRU mine water prediction model by selecting and improving it according to the previous research results in decomposition method, time series prediction model and optimization algorithm. …”
Get full text

Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning by Maryam Talebvand, Amir Lakizadeh, Faranak Fotouhi

“…Experimental results show that the proposed method, due to its better compatibility with time-series data, has been able to improve the FOG detection process to achieve higher accuracy than the best available methods.…”
Get full text

Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network by Lukas Falat, Dusan Marcek, Maria Durisova

“…Authors test the suggested model on high-frequency time series data of USD/CAD and examine the ability to forecast exchange rate values for the horizon of one day. …”
Get full text

Dynamic Contagion of Systemic Risks on Global Main Equity Markets Based on Granger Causality Networks by Qiuhong Zheng, Liangrong Song

“…A total of 156 Granger causal networks of stock markets are constructed by using the Granger causality test and time series sliding window based on stock index data of 34 major stock markets in the world from 2004 to 2017. …”
Get full text

Sustainable Cold Chain Management: An Evaluation of Predictive Waste Management Models by Hajar Fatorachian, Kulwant Pawar

“…The findings underscore the novelty of combining ARIMA’s time-series capabilities with MLR’s multivariable analysis to address complex demand drivers. …”
Get full text

Unconventional monetary policy and the (Neo)Fisher effect: has the federal reserve misunderstood monetary policy? by Andrew Phiri

“…Our findings indicate that policy choices significantly influence the behavior of individual time series, with unconventional monetary policy leading to greater variability and traditional policy resulting in weaker variability. …”
Get full text