Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Precipitation and Co-precipitation

Precipitation and Co-precipitation

Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...

Precipitation Processes

Precipitation Processes

The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...

Prediction Intervals

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

Precipitation Gravimetry

Precipitation Gravimetry

Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...

Responses to Drought and Flooding

Responses to Drought and Flooding

Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.

Steps in Outbreak Investigation

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Retraction Note: AI-optimized GRU-based self-attention model for predictive diabetes staging in IoT healthcare 5.0.

Scientific reports·2026

Same author

Optimized CNN-based ensemble deep learning approach for potato leaf disease detection with data augmentation.

Scientific reports·2026

Same author

A dynamic light image enhancement algorithm using generative adversarial network for group activity recognition.

Scientific reports·2026

Same author

Color image security technique combining encryption and data hiding for healthcare applications.

Computer methods and programs in biomedicine·2026

Same author

Improving predictive reliability and automation of smart grids using the StarNet ensemble model.

Scientific reports·2026

Same author

Retraction Note: Sentimental analysis based federated learning privacy detection in fake web recommendations using blockchain model.

Scientific reports·2026

Search research articles

Related Experiment Video

Updated: Jun 5, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Advance drought prediction through rainfall forecasting with hybrid deep learning model.

Brij B Gupta^1,2,3,4, Akshat Gaurav^5,6, Razaz Waheeb Attar⁷

¹Department of Computer Science and Information Engineering, Asia University, Taichung, 413, Taiwan. bbgupta@asia.edu.tw.

Scientific Reports

|December 13, 2024

Summary

Accurate rainfall prediction is key to mitigating drought damage. A new hybrid stacked model using Bi-directional LSTM and LSTM layers improves forecasting accuracy for better drought management.

More Related Videos

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Related Experiment Videos

Last Updated: Jun 5, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

Environmental science
Data science
Meteorology

Background:

Drought poses a significant natural disaster risk, impacting large areas over time.
Accurate drought prediction is essential for damage reduction and effective management strategies.

Purpose of the Study:

To propose a novel hybrid stacked model for rainfall prediction to enhance drought forecasting.
To improve the accuracy of drought prediction through advanced time series analysis.

Main Methods:

Developed a hybrid stacked model integrating Bi-directional Long Short-Term Memory (Bi-LSTM) and Long Short-Term Memory (LSTM) layers.
Utilized Bi-LSTM in the first layer for feature extraction and LSTM in the second layer for prediction.
Processed multivariate time series data, capturing complex temporal dependencies in both forward and backward directions.

Main Results:

The model demonstrated improved forecasting accuracy in rainfall prediction.
The hybrid stacked approach effectively captured complex temporal dependencies in the data.
Trained using Mean Squared Error loss and Adam optimizer, achieving enhanced predictive performance.

Conclusions:

The proposed hybrid stacked model shows significant potential for proactive drought management through accurate rainfall prediction.
This approach offers a valuable tool for improving drought forecasting and mitigating its adverse effects.