Ashu Jain

发表

Short-Term Water Demand Forecast Modelling at IIT Kanpur Using Artificial Neural Networks

Ashu Jain, A. Kumar Varshney, Umesh Chandra Joshi, 2001 .

Discussion of “Performance of Neural Networks in Daily Streamflow Forecasting” by S. Birikundavyi, R. Labib, H. T. Trung, and J. Rousselle

K. P. Sudheer, Ashu Jain, Sanaga Srinivasulu, 2004 .

Hydrologic Model Calibration Using Evolutionary Optimisation

S. Srinivasulu, Ashu Jain, 2009 .

Development of Wash-Durable Antimicrobial Cotton Fabrics by In Situ Green Synthesis of Silver Nanoparticles and Investigation of Their Antimicrobial Efficacy against Drug-Resistant Bacteria

B. S. Butola, A. Malik, H. Malik, 2022, Antibiotics.

Development of a Physics-Guided Neural Network Model for Effective Urban Flood Management

Bharat Lohani, Ashu Jain, Arjun Balakrishna Madayala, 2022, Journal of Hydrologic Engineering.

Advanced Rule-Based System for Rainfall Occurrence Forecasting by Integrating Machine Learning Techniques

Ashu Jain, Vikas Kumar Vidyarthi, 2023, Journal of Water Resources Planning and Management.

Multi dye degradation and antibacterial potential of Papaya leaf derived silver nanoparticles

A. Malik, Priyadarshini Dey, Deepak Gola, 2020 .

Mathematical modelling of seed-mediated size-specific growth of spherical silver nanoparticles using Azadirachta indica leaf extract

A. Malik, Ashu Jain, Hitendra Kumar Malik, 2020, Journal of Taibah University for Science.

Identification of Unknown Groundwater Pollution Sources Using Artificial Neural Networks

Ashu Jain, Bithin Datta, B. Datta, 2004 .

Temporal scaling in river flow: can it be chaotic? / L’invariance d’échelle de l’écoulement fluvial peut-elle être chaotique?

Ashu Jain, Bellie Sivakumar, Satish Kumar Regonda, 2004 .

Development of effective and efficient rainfall‐runoff models using integration of deterministic, real‐coded genetic algorithms and artificial neural network techniques

Ashu Jain, Sanaga Srinivasulu, S. Srinivasulu, 2004 .

Optimal Design of Composite Channels Using Genetic Algorithm

Ashu Jain, Rajib Kumar Bhattacharjya, Srinivasulu Sanaga, 2004 .

Modeling and Analysis of Concrete Slump Using Artificial Neural Networks

Ashu Jain, Sudhir Misra, Sanjeev Kumar Jha, 2008 .

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

K. P. Sudheer, Holger R. Maier, Graeme C. Dandy, 2010, Environ. Model. Softw..

A comparative analysis of training methods for artificial neural network rainfall-runoff models

Ashu Jain, Sanaga Srinivasulu, S. Srinivasulu, 2006, Appl. Soft Comput..

Hybrid neural network models for hydrologic time series forecasting

Ashu Jain, Avadhnam Madhav Kumar, Ashu Jain, 2007, Appl. Soft Comput..

Development of simple semi-distributed approaches for modelling complex rainfall–runoff process

Ashu Jain, Vikas Kumar Vidyarthi, 2023, Hydrological Sciences Journal.

Explaining the internal behaviour of artificial neural network river flow models

K. P. Sudheer, Ashu Jain, K. Sudheer, 2004 .

COVID-19: Understanding the Pandemic Emergence, Impact and Infection Prevalence Worldwide

Priyadarshini Dey, Deepak Gola, N. Chauhan, 2020 .

Short‐term water demand forecast modeling techniques—CONVENTIONAL METHODS VERSUS AI

Ashu Jain, Lindell Ormsbee, L. Ormsbee, 2002 .

Dissection of trained neural network hydrologic models for knowledge extraction

Ashu Jain, Sumant Kumar, Ashu Jain, 2009 .

Identification of physical processes inherent in artificial neural network rainfall runoff models

K. P. Sudheer, Ashu Jain, Sanaga Srinivasulu, 2004 .

Comparative Analysis of Event-Based Rainfall-Runoff Modeling Techniques—Deterministic, Statistical, and Artificial Neural Networks

Ashu Jain, S. K. V. Prasad Indurthy, Ashu Jain, 2003 .

Modeling rainfall-runoff process using artificial neural network with emphasis on parameter sensitivity

Vikas Kumar Vidyarthi, Ashu Jain, Shikha Chourasiya, 2020, Modeling Earth Systems and Environment.

Evaporation modelling using neural networks for assessing the self‐sustainability of a water body

Ashu Jain, Tirthankar Roy, Tirthankar Roy, 2017 .

An evaluation of artificial neural network technique for the determination of infiltration model parameters

Amit Kumar, Ashu Jain, Amit Kumar, 2006, Appl. Soft Comput..

Integrated approach to model decomposed flow hydrograph using artificial neural network and conceptual techniques

Ashu Jain, Sanaga Srinivasulu, S. Srinivasulu, 2006 .

Comment on ‘Comparison of static-feedforward and dynamic-feedback neural networks for rainfall-runoff modeling’ by Y.M. Chiang, L.C. Chang, and F.J. Chang, 2004. Journal of Hydrology 290 (3–4), 297–311

Ashu Jain, Ashu Jain, 2005 .

Determination of an optimal unit pulse response function using real-coded genetic algorithm

Ashu Jain, Rajib Kumar Bhattacharjya, Sanaga Srinivasalu, 2005 .

AN EVALUATION OF THE AVAILABLE TECHNIQUES FOR ESTIMATING MISSING FECAL COLIFORM DATA 1

Ashu Jain, Lindell Ormsbee, L. Ormsbee, 2004 .

Neural network based solutions for locating groundwater pollution sources

J. Kumar, Ashu Jain, R. Srivasta, 2009 .

Rainfall-Runoff Modelling: Integrating Available Data and Modern Techniques

Ashu Jain, Sanaga Srinivasulu, S. Srinivasulu, 2009 .

River Flow Prediction Using an Integrated Approach

Ashu Jain, Sanaga Srinivasulu, Ashu Jain, 2009 .

Water rights in India: economic good, fundamental rights, or human rights?

Ashu Jain, G. Lilienthal, 2020 .

Optimal groundwater management using state-space surrogate models: a case study for an arid coastal region

Niels Schütze, Jens Grundmann, Marco Brettschneider, 2016 .

Knowledge extraction from trained ANN drought classification model

Ashu Jain, Vikas Kumar Vidyarthi, Ashu Jain, 2020 .

A DECISION SUPPORT SYSTEM FOR DROUGHT CHARACTERIZATION AND MANAGEMENT

Ashu Jain, Lindell Ormsbee, L. Ormsbee, 2001 .

RECENT ADVANCES IN KNOWLEDGE EXTRACTION FROM NEURAL NETWORK BASED HYDROLOGIC MODELS

K. P. Sudheer, Ashu Jain, K. Sudheer, 2009 .

RAINFALL RUNOFF MODELLING USING NEURAL NETWORKS: STATE-OF-THE-ART AND FUTURE RESEARCH NEEDS

K. P. Sudheer, Holger R. Maier, Graeme C. Dandy, 2009 .

Does ANN really acquire the physics of the system? A study using conceptual components from an established water balance model

Ashu Jain, Vikas Kumar Vidyarthi, 2023, Journal of Hydroinformatics.

RECENT ADVANCES IN KNOWLEDGE EXTRACTION FROM NEURAL NETWORK BASED HYDROLOGIC MODELS

K. Sudheer, Ashu Jain, 2009 .

Artificial neuron models for hydrological modeling

Ashu Jain, Seema Narain, Ashu Jain, 2007, 2007 International Joint Conference on Neural Networks.