A survey on change detection and time series analysis with applications
With the advent of the digital computer, time series analysis has gained wide attention and is
being applied to many fields of science. This paper reviews many traditional and recent …
being applied to many fields of science. This paper reviews many traditional and recent …
Deep unsupervised domain adaptation with time series sensor data: A survey
Sensors are devices that output signals for sensing physical phenomena and are widely
used in all aspects of our social production activities. The continuous recording of physical …
used in all aspects of our social production activities. The continuous recording of physical …
Machine learning in weather prediction and climate analyses—applications and perspectives
B Bochenek, Z Ustrnul - Atmosphere, 2022 - mdpi.com
In this paper, we performed an analysis of the 500 most relevant scientific articles published
since 2018, concerning machine learning methods in the field of climate and numerical …
since 2018, concerning machine learning methods in the field of climate and numerical …
Coherency and phase delay analyses between land cover and climate across Italy via the least-squares wavelet software
E Ghaderpour, P Mazzanti, GS Mugnozza… - International Journal of …, 2023 - Elsevier
Land cover and climate monitoring is a crucial task in agriculture, forestry, hazard
management, and ecosystems assessment. In this paper, normalized difference vegetation …
management, and ecosystems assessment. In this paper, normalized difference vegetation …
Data intelligence model and meta-heuristic algorithms-based pan evaporation modelling in two different agro-climatic zones: a case study from Northern India
Precise quantification of evaporation has a vital role in effective crop modelling, irrigation
scheduling, and agricultural water management. In recent years, the data-driven models …
scheduling, and agricultural water management. In recent years, the data-driven models …
A hybrid model for streamflow forecasting in the basin of euphrates
HC Kilinc, B Haznedar - Water, 2022 - mdpi.com
River flow modeling plays a crucial role in water resource management and ensuring its
sustainability. Therefore, in recent years, in addition to the prediction of hydrological …
sustainability. Therefore, in recent years, in addition to the prediction of hydrological …
A new clustering method to generate training samples for supervised monitoring of long-term water surface dynamics using Landsat data through Google Earth …
Water resources are vital to the survival of living organisms and contribute substantially to
the development of various sectors. Climatic diversity, topographic conditions, and uneven …
the development of various sectors. Climatic diversity, topographic conditions, and uneven …
Long term trend analysis of river flow and climate in northern Canada
Changes in water resources within basins can significantly impact ecosystems, agriculture,
and biodiversity, among others. Basins in northern Canada have a cold climate, and the …
and biodiversity, among others. Basins in northern Canada have a cold climate, and the …
A comparison of BPNN, GMDH, and ARIMA for monthly rainfall forecasting based on wavelet packet decomposition
Accurate rainfall forecasting in watersheds is of indispensable importance for predicting
streamflow and flash floods. This paper investigates the accuracy of several forecasting …
streamflow and flash floods. This paper investigates the accuracy of several forecasting …
Design and application of a low-cost, low-power, LoRa-GSM, IoT enabled system for monitoring of groundwater resources with energy harvesting integration
The rapid expansion of Internet of Things (IoT) devices and applications has accelerated
research in various areas of human development. However, the cost of commercial …
research in various areas of human development. However, the cost of commercial …