Explainable Hybrid CNN-LSTM Model with Integrated Gradient Attribution for Multi-layer Root Zone Soil Moisture Prediction: A Case Study on Cocoa Plantation in Malaysia

FRAUDDETECTNET: A CAPSULE NETWORK WITH CNN-LSTM HYBRID MODEL FOR REAL-TIME BANKING FRAUD

With the dynamic digital banking ecosystem, fraud detection is still an important issue. This paper

Integrating process-related information into an artificial neural network for root-zone soil moisture prediction

International audience Abstract. Quantification of root-zone soil moisture (RZSM) is

Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria

Abstract This paper provides an in-depth analysis and performance evaluation of four Sol

A Hybrid Spatio-Temporal Transformer-LSTM Network for Explainable Crop Yield Prediction Using Multi-Source Remote Sensing in Arid African Regions

The escalating food security crisis in Sub-Saharan Africa, driven by population growth and climate v

Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model

Abstract. We show that satellite-derived estimates of shallow soil moisture can be used to calibrate

Comparative study of CNN, LSTM and hybrid CNN-LSTM model in amazigh speech recognition using spectrogram feature extraction and different gender and age dataset