All Stories

  1. Assessing morphology of Jhelum river and prediction of centerline shifting using autoregressive integrated moving average model
  2. Modelling response of infiltration loss toward water table depth using RBFN, RNN, ANFIS techniques
  3. Prediction of runoff using BPNN, FFBPNN, CFBPNN algorithm in arid watershed: A case study
  4. Efficiency of River Flow Prediction in River Using Wavelet-CANFIS: A Case Study
  5. Estimation of Sediment Load Using Adaptive Neuro-Fuzzy Inference System at Indus River Basin, India
  6. Assessment of Sediment Load Concentration Using SVM, SVM-FFA and PSR-SVM-FFA in Arid Watershed, India: A Case Study
  7. Assessment of Suspended Sediment Load with Neural Networks in Arid Watershed
  8. Assessment of Groundwater Potential Using Neural Network: A Case Study
  9. Modelling runoff in a river basin, India: an integration for developing un-gauged catchment
  10. Prediction of Sedimentation in an Arid Watershed Using BPNN and ANFIS
  11. Appraisal of Runoff Through BPNN, RNN, and RBFN in Tentulikhunti Watershed: A Case Study
  12. Estimation of Runoff Through BPNN and SVM in Agalpur Watershed
  13. Sediment assessment for a watershed in arid region via neural networks
  14. Assessment of Sediment Concentration Through RBNN and SVM-FFA in Arid Watershed, India
  15. Infiltration Loss Affects Toward Groundwater Fluctuation Through CANFIS in Arid Watershed: A Case Study
  16. Prediction of Flood Using Adaptive Neuro-Fuzzy Inference Systems: A Case Study
  17. Rainfall Forecasting Through ANN and SVM in Bolangir Watershed, India
  18. Discharge Measurement in Part of Hirakud Canal System, Odisha, India, Using Chiu’s Equation
  19. Optimization of the Cropping Pattern Using Cuckoo Search Technique
  20. Stream Flow Forecasting in Mahanadi River Basin using Artificial Neural Networks
  21. Dynamic Modelling of Runoff in a Watershed Using Artificial Neural Network
  22. Estimation of Aquifer Potential Using BPNN, RBFN, RNN, and ANFIS
  23. Estimating Runoff Using Feed-Forward Neural Networks in Scarce Rainfall Region
  24. Integrated Sensor Networking for Estimating Ground Water Potential in Scanty Rainfall Region: Challenges and Evaluation
  25. Sedimentation Process and Its Assessment Through Integrated Sensor Networks and Machine Learning Process
  26. Application of Genetic Algorithm to Derive an Optimal Cropping Pattern, in Part of Hirakud Command
  27. Evaluation of suspended sediment concentration using descent neural networks
  28. Modelling sediment concentration using back propagation neural network and regression coupled with genetic algorithm
  29. Flow forecasting of hirakud reservoir with ARIMA model
  30. Derivation of Optimal Cropping Pattern in Part of Hirakud Command using Cuckoo Search