Soumik Sarkar

Automated Seizure Detection in Animal EEG Signals

This study evaluates GRU and LSTM for seizure detection in animal EEG data from rats exposed to kainate or Soman, showing better performance than classical models.

Sewing the future of cotton: a multi-omics study combining nanomechanics, transcriptomics, and phenotypic traits

This study compares nanoscale mechanical properties of cotton fibers between two species and develops machine learning models to predict phenotypic traits using multi-omics data.

Genomic and Phenomic Prediction for Soybean Seed Yield, Protein, and Oil

This paper compares genomic and phenomic prediction for soybean seed yield, protein, and oil content, finding phenomic prediction outperforms genomic for yield while genomic is better for protein and oil.

Integrating genotype and weather variables for soybean yield prediction using deep learning

This paper uses deep learning to predict soybean yield by integrating genotype and weather data from historical trials.