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Sanjit Kumar
Observed names:
Kumar, Sanjit,
Lalita Kumari
Institutions:
Indian Institute of Technology Patna,
Amity University
Observed institutions:
Indian Institute of Technology Guwahati,
Indian Institute of Technology Patna,
SRM Institute of Science and Technology,
Amity University
ORCID:
0000-0001-6000-6365
Observed ORCID:
0000-0001-6000-6365
OpenAlex ID:
A5076304438
Estimation of time dependent scour depth around circular bridge piers: Application of ensemble machine learning methods
2023
·
Sanjit Kumar
, Manish Kumar Goyal
, et al.
·
Ocean Engineering
·
60
AI-driven predictions of geophysical river flows with vegetation
2024
·
Sanjit Kumar
, Mayank Agarwal
, et al.
·
Scientific Reports
·
25
PDF
Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches
2024
·
Sanjit Kumar
, Giuseppe Oliveto
, et al.
·
Journal of Hydroinformatics
·
21
PDF
Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques
2023
·
Sanjit Kumar
, Bimlesh Kumar
, et al.
·
Expert Systems with Applications
·
21
Forecasting particle Froude number in non-deposition scenarios within sewer pipes through hybrid machine learning approaches
2024
·
Sanjit Kumar
, Vishal Deshpande
, et al.
·
Results in Engineering
·
11
Predicting the abrasion loss of open-graded friction course mixes with EAF steel slag aggregates using machine learning algorithms
2022
·
Madhu Lisha Pattanaik
, Sanjit Kumar
, et al.
·
Construction and Building Materials
·
11
Application of novel hybrid machine learning techniques for particle Froude number estimation in sewer pipes
2022
·
Sanjit Kumar
, Bablu Kirar
, et al.
·
Natural Hazards
·
8
Leveraging AlphaFold 3 for Structural Modeling of Neurological Disorder-Associated Proteins: A Pathway to Precision Medicine
2024
·
Nishant Gadde
, Sachi Dodamani
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
7
Standalone and Hybrid machine learning approaches to predict sediment load in an alluvial channel
2025
·
Sanjit Kumar
, Vishal Deshpande
, et al.
·
Engineering Applications of Artificial Intelligence
·
6
Radial Basis Function Regression (RBFR), ARRBFR models for Estimation of Particle Froude Number in Sewer Pipes Under Deposited Conditions
2023
·
Sanjit Kumar
, Mayank Agarwal
, et al.
·
International Conference on Information Systems and Computer Networks (ISCON)
·
5
Estimation of Particle Froude Number in Deposited Bed Condition Using Hybrid Machine Learning Models
2024
·
Sanjit Kumar
, Mayank Agarwal
, et al.
·
Lecture notes in networks and systems
·
3
Hybrid Machine Learning for Predicting Particle Froude Number in Auto-washout Drainage Systems with Sedimented Beds
2026
·
Sanjit Kumar
, Mayank Agarwal
, et al.
·
Journal of Data Science and Intelligent Systems
PDF
Optimizing Intrusion Detection Systems Using Machine Learning for Enhanced Cybersecurity and Threat Prevention
2026
·
Lalita Kumari
, Garima Srivastava
, et al.
·
Lecture notes in networks and systems
Deep Learning Models for Analyzing Gait Dynamics in Neurodegenerative Diseases
2025
·
Nishant Gadde
, Rishi Kanaparti
, et al.
·
IEEE Conference on Computer Applications (ICCA)
Anaphora Resolution through Salience in Magahi: A Syntactic and Semantic Analysis
2024
·
Sanjit Kumar
, Lalita Kumari
, et al.
·
International Conference on Information Management & Machine Intelligence (ICIMMI)
PDF
The Power of AI in Banking 4.0: Enhancing Customer Experience and Operational Efficiency
2024
·
Lalita Kumari
, Sanjit Kumar
, et al.
·
International Conference on Information Management & Machine Intelligence (ICIMMI)
PDF
Automated Detection of Atrial Fibrillation Using Deep Convolutional Neural Networks: Advancing Cardiac Diagnostics through AI-Driven ECG Analysis
2024
·
Nishant Gadde
, Rayaan Altaf
, et al.
·
OSF Preprints (OSF Preprints)
Predicting US Elections: A Machine Learning Approach
2024
·
Nishant Gadde
, Sanjit Kumar
, et al.
·
Research Square
Efficient functioning of a sewer system: application of novel hybrid machine learning methods for the prediction of particle Froude number
2024
·
Sanjit Kumar
, Bablu Kirar
, et al.
·
Journal of Hydroinformatics
PDF
Predict Total Sediment Load Using Standalone and Ensemble Machine Learning Models
2024
·
Sanjit Kumar
, Mayank Agarwal
, et al.
·
Lecture notes in networks and systems
Dataset of Flow Velocity Prediction in Vegetated Alluvial Channels Comparing Empirical and State-of-the-art Hybrid Machine Learning Models
2023
·
Kumar, Sanjit
, Deshpande, Vishal
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Estimation of Time-Dependent Pier Scour Depth Using Ensemble and Boosting-Based Data-Driven Approaches
2023
·
Sanjit Kumar
, Mayank Agarwal
, et al.
·
Lecture notes in civil engineering
Geopolymer material based on copper-nickel slag mechanically activated in air and in CO 2
2011
·
А. М. Калинкин
, Б. И. Гуревич
, et al.
Plastic shrinkage cracking of fibre reinforced concrete under variable ambient conditions
2004
·
Sanjit Kumar
·
Shodhganga
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Works count:
24
Citation count:
178
H-index:
7
I10-index:
6
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