Abhilash Singh
Orcid: 0000-0001-6270-9355
According to our database1,
Abhilash Singh
authored at least 24 papers
between 2019 and 2024.
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Bibliography
2024
Assessment of machine learning models to predict daily streamflow in a semiarid river catchment.
Neural Comput. Appl., July, 2024
AutoML-GWL: Automated machine learning model for the prediction of groundwater level.
Eng. Appl. Artif. Intell., January, 2024
F-TLBO-ID: Fuzzy fed teaching learning based optimisation algorithm to predict the number of k-barriers for intrusion detection.
Appl. Soft Comput., January, 2024
PIML-SM: Physics-Informed Machine Learning to Estimate Surface Soil Moisture From Multisensor Satellite Images by Leveraging Swarm Intelligence.
IEEE Trans. Geosci. Remote. Sens., 2024
Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction.
Environ. Model. Softw., 2024
2023
P2CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the k-barriers for intrusion detection.
Eng. Appl. Artif. Intell., November, 2023
A machine learning approach to predict the k-coverage probability of wireless multihop networks considering boundary and shadowing effects.
Expert Syst. Appl., September, 2023
Dataset, August, 2023
Leveraging hybrid machine learning and data fusion for accurate mapping of malaria cases using meteorological variables in western India.
Intell. Syst. Appl., 2023
A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks.
Expert Syst. Appl., 2023
Strategies to Measure Soil Moisture Using Traditional Methods, Automated Sensors, Remote Sensing, and Machine Learning Techniques: Review, Bibliometric Analysis, Applications, Research Findings, and Future Directions.
IEEE Access, 2023
2022
Intrusion Detection System in Wireless Sensor Network Using Conditional Generative Adversarial Network.
Wirel. Pers. Commun., 2022
LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the k-Barriers for Intrusion Detection Using Wireless Sensor Network.
Sensors, 2022
Drainage congestion due to road network on the Kosi alluvial Fan, Himalayan Foreland.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
ECS-NL: An Enhanced Cuckoo Search Algorithm for Node Localisation in Wireless Sensor Networks.
Sensors, 2021
Remote. Sens., 2021
A novel model to eliminate the doubly near-far problem in wireless powered communication network.
IET Commun., 2021
A Gaussian process regression approach to predict the <i>k</i>-barrier coverage probability for intrusion detection in wireless sensor networks.
Expert Syst. Appl., 2021
Comput. Sci. Rev., 2021
2020
Estimation of Soil Moisture Applying Modified Dubois Model to Sentinel-1; A Regional Study from Central India.
Remote. Sens., 2020
Int. J. Commun. Syst., 2020
A Machine Learning Approach to Predict the Average Localization Error With Applications to Wireless Sensor Networks.
IEEE Access, 2020
2019
Mathematical modelling for reducing the sensing of redundant information in WSNs based on biologically inspired techniques.
J. Intell. Fuzzy Syst., 2019