Daily Runoff Prediction in Xijiang River Basin Based on FOA‐TCN‐BiLSTM Model
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Climatology"
DOI: 10.1002/joc.70073
Abstract: Accurate and reliable daily runoff forecasting plays a vital role in water resource management, flood warning and operational scheduling. However, runoff prediction is challenging due to its nonlinear and non‐stationary nature, influenced by climate change,… read more here.
Keywords: bilstm model; runoff prediction; model; tcn bilstm ... See more keywords
A BiLSTM model enhanced with multi-objective arithmetic optimization for COVID-19 diagnosis from CT images
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DOI: 10.1038/s41598-025-94654-2
Abstract: In response to the relentless mutation of the coronavirus disease, current artificial intelligence algorithms for the automated diagnosis of COVID-19 via CT imaging exhibit suboptimal accuracy and efficiency. This manuscript proposes a multi-objective optimization algorithm… read more here.
Keywords: multi objective; diagnosis; bilstm model; covid ... See more keywords
Logging Data Completion Based on an MC-GAN-BiLSTM Model
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DOI: 10.1109/access.2021.3138194
Abstract: Due to environmental interference and operational errors, problems such as incomplete and random missing logging data have occurred during the geophysical logging data collection process. Since it is difficult to establish a geophysical model based… read more here.
Keywords: network; bilstm model; gan bilstm; logging data ... See more keywords
FIBiLS: Fall Detection of Healthy Elderly Using IMU Sensor and BiLSTM Model
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DOI: 10.1109/jsen.2025.3602945
Abstract: Fall recovery refers to an individual’s ability to recover from external perturbation, and it is an obvious phenomenon in cluttered environments. Fall detection systems have evolved primarily for elderly individuals, who are more prone to… read more here.
Keywords: fall; bilstm model; fall detection;
An Enhanced IDBO-CNN-BiLSTM Model for Sentiment Analysis of Natural Disaster Tweets
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DOI: 10.3390/biomimetics9090533
Abstract: The Internet’s development has prompted social media to become an essential channel for disseminating disaster-related information. Increasing the accuracy of emotional polarity recognition in tweets is conducive to the government or rescue organizations understanding the… read more here.
Keywords: bilstm model; analysis; cnn bilstm; model ... See more keywords
Landslide Displacement Prediction Based on Time Series Analysis and Double-BiLSTM Model
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19042077
Abstract: In recent years, machine learning models facilitated notable performance improvement in landslide displacement prediction. However, most existing prediction models which ignore landslide data at each time can provide a different value and meaning. To analyze… read more here.
Keywords: bilstm model; displacement prediction; landslide displacement; displacement ... See more keywords
Landslide Susceptibility Assessment Using a CNN–BiLSTM-AM Model
Sign Up to like & getrecommendations! Published in 2024 at "Sustainability"
DOI: 10.3390/su16219476
Abstract: Landslides are common geological hazards worldwide, posing significant threats to both the environment and human lives. The preparation of a landslides susceptibility map is a major method to address the challenge related to sustainability. The… read more here.
Keywords: bilstm model; susceptibility; landslide susceptibility; cnn bilstm ... See more keywords