[HTML][HTML] Drought prediction: a comprehensive review of different drought prediction models and adopted technologies
Precipitation deficit conditions and temperature anomalies are responsible for the
occurrence of various types of natural disasters that cause tremendous loss of human life …
occurrence of various types of natural disasters that cause tremendous loss of human life …
[HTML][HTML] Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
S Salcedo-Sanz, J Pérez-Aracil, G Ascenso… - Theoretical and Applied …, 2024 - Springer
Atmospheric extreme events cause severe damage to human societies and ecosystems.
The frequency and intensity of extremes and other associated events are continuously …
The frequency and intensity of extremes and other associated events are continuously …
Prediction of the standardized precipitation index based on the long short-term memory and empirical mode decomposition-extreme learning machine models: The …
Ö Coşkun, H Citakoglu - Physics and Chemistry of the Earth, Parts A/B/C, 2023 - Elsevier
This research predicted the meteorological drought of Sakarya province in northwest Türkiye
using long short-term memory (LSTM). This deep learning algorithm has gained popularity …
using long short-term memory (LSTM). This deep learning algorithm has gained popularity …
[HTML][HTML] Prioritizing sub-watersheds for soil erosion using geospatial techniques based on morphometric and hypsometric analysis: a case study of the Indian Wyra …
The hydrological availability and scarcity of water can be affected by geomorphological
processes occurring within a watershed. Hence, it is crucial to perform a quantitative …
processes occurring within a watershed. Hence, it is crucial to perform a quantitative …
Combination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India
Standardized precipitation index prediction and monitoring are essential to mitigating the
effect of drought actions on precision farming, environments, climate-smart agriculture, and …
effect of drought actions on precision farming, environments, climate-smart agriculture, and …
[HTML][HTML] Machine learning models development for accurate multi-months ahead drought forecasting: Case study of the Great Lakes, North America
The Great Lakes are critical freshwater sources, supporting millions of people, agriculture,
and ecosystems. However, climate change has worsened droughts, leading to significant …
and ecosystems. However, climate change has worsened droughts, leading to significant …
Examining evolutionary scale modeling‐derived different‐dimensional embeddings in the antimicrobial peptide classification through a KNIME workflow
KL Martínez‐Mauricio, CR García‐Jacas… - Protein …, 2024 - Wiley Online Library
Molecular features play an important role in different bio‐chem‐informatics tasks, such as
the Quantitative Structure–Activity Relationships (QSAR) modeling. Several pre‐trained …
the Quantitative Structure–Activity Relationships (QSAR) modeling. Several pre‐trained …
Modeling of meteorological, agricultural, and hydrological droughts in semi-arid environments with various machine learning and discrete wavelet transform
Recent meteorological, hydrological, and agricultural droughts in the Mediterranean regions
have raised concerns about the impact of climate change. In this study, the meteorological …
have raised concerns about the impact of climate change. In this study, the meteorological …
Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India
This research was established to accurately forecast daily scale air quality index (AQI) which
is an essential environmental index for decision-making. Researchers have projected …
is an essential environmental index for decision-making. Researchers have projected …
Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector …
The development of advanced technologies based on computer aid models in the domain of
crops and agriculture productively is a modern advancement. Machine learning (ML) based …
crops and agriculture productively is a modern advancement. Machine learning (ML) based …