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ORCIDAbhilash Singh
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2020 – today
- 2024
[j22]Abhilash Singh
, Seyed Muhammad Hossein Mousavi, Jaiprakash Nagar:
F-TLBO-ID: Fuzzy fed teaching learning based optimisation algorithm to predict the number of k-barriers for intrusion detection. Appl. Soft Comput. 151: 111163 (2024)- [j21]Abhilash Singh, Sharad Patel, Vipul Bhadani, Vaibhav Kumar, Kumar Gaurav:
AutoML-GWL: Automated machine learning model for the prediction of groundwater level. Eng. Appl. Artif. Intell. 127(Part B): 107405 (2024) - [j20]Vipul Bhadani, Abhilash Singh, Vaibhav Kumar, Kumar Gaurav:
Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction. Environ. Model. Softw. 175: 105995 (2024) - [j19]Amit Kumar, Kumar Gaurav, Abhilash Singh, Zaher Mundher Yaseen:
Assessment of machine learning models to predict daily streamflow in a semiarid river catchment. Neural Comput. Appl. 36(21): 13087-13106 (2024) - [j18]Abhilash Singh, Kumar Gaurav:
PIML-SM: Physics-Informed Machine Learning to Estimate Surface Soil Moisture From Multisensor Satellite Images by Leveraging Swarm Intelligence. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [i3]Abhilash Singh, Seyed Muhammad Hossein Mousavi, Kumar Gaurav:
SHS: Scorpion Hunting Strategy Swarm Algorithm. CoRR abs/2407.14202 (2024) - 2023
- [j17]Abhilash Singh, Kumar Gaurav, Gaurav Kailash Sonkar, Cheng-Chi Lee:
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 11: 13605-13635 (2023) - [j16]Abhilash Singh, Jaiprakash Nagar, J. Amutha, Sandeep Sharma:
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. 126(Part D): 107137 (2023) - [j15]Abhilash Singh, J. Amutha, Jaiprakash Nagar, Sandeep Sharma:
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. 211: 118588 (2023) - [j14]Jaiprakash Nagar, Sanjay Kumar Chaturvedi, Sieteng Soh, Abhilash Singh:
A machine learning approach to predict the k-coverage probability of wireless multihop networks considering boundary and shadowing effects. Expert Syst. Appl. 226: 120160 (2023) - [j13]Abhilash Singh, Manish Mehra, Amit Kumar, M. Niranjannaik, Dev Priya, Kumar Gaurav:
Leveraging hybrid machine learning and data fusion for accurate mapping of malaria cases using meteorological variables in western India. Intell. Syst. Appl. 17: 200164 (2023) - [d1]Abhilash Singh, Vaibhav Kotiyal, Sandeep Sharma, Jaiprakash Nagar, Cheng-Chi Lee:
Average Localization Error (ALE) in sensor node localization process in WSNs. UCI Machine Learning Repository, 2023
- 2022
- [j12]Abhilash Singh, Mood Niranjan Naik, Kumar Gaurav:
Drainage congestion due to road network on the Kosi alluvial Fan, Himalayan Foreland. Int. J. Appl. Earth Obs. Geoinformation 112: 102892 (2022) - [j11]Abhilash Singh, J. Amutha, Jaiprakash Nagar, Sandeep Sharma, Cheng-Chi Lee:
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 22(3): 1070 (2022) - [j10]Tanya Sood, Satyartha Prakash, Sandeep Sharma, Abhilash Singh, Hemant Choubey:
Intrusion Detection System in Wireless Sensor Network Using Conditional Generative Adversarial Network. Wirel. Pers. Commun. 126(1): 911-931 (2022) - [i2]Abhilash Singh, J. Amutha, Jaiprakash Nagar, Sandeep Sharma:
A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks. CoRR abs/2208.11887 (2022) - 2021
- [j9]Abhilash Singh, Sandeep Sharma, Jitendra Singh:
Nature-inspired algorithms for Wireless Sensor Networks: A comprehensive survey. Comput. Sci. Rev. 39: 100342 (2021) - [j8]Abhilash Singh, Jaiprakash Nagar, Sandeep Sharma, Vaibhav Kotiyal:
A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks. Expert Syst. Appl. 172: 114603 (2021) - [j7]Jitendra Singh, Akanksha Chaturvedi, Sandeep Sharma, Abhilash Singh:
A novel model to eliminate the doubly near-far problem in wireless powered communication network. IET Commun. 15(12): 1539-1547 (2021) - [j6]Abhilash Singh, Kumar Gaurav, Atul Kumar Rai, Zafar Beg:
Machine Learning to Estimate Surface Roughness from Satellite Images. Remote. Sens. 13(19): 3794 (2021) - [j5]Vaibhav Kotiyal, Abhilash Singh, Sandeep Sharma, Jaiprakash Nagar, Cheng-Chi Lee:
ECS-NL: An Enhanced Cuckoo Search Algorithm for Node Localisation in Wireless Sensor Networks. Sensors 21(11): 3576 (2021) - [i1]Abhilash Singh, Sandeep Sharma, Jitendra Singh:
Nature-Inspired Algorithms for Wireless Sensor Networks: A Comprehensive Survey. CoRR abs/2101.10453 (2021) - 2020
- [j4]Abhilash Singh, Vaibhav Kotiyal, Sandeep Sharma, Jaiprakash Nagar, Cheng-Chi Lee:
A Machine Learning Approach to Predict the Average Localization Error With Applications to Wireless Sensor Networks. IEEE Access 8: 208253-208263 (2020) - [j3]Sandeep Sharma, Rahul Kumar, Abhilash Singh, Jitendra Singh:
Wireless information and power transfer using single and multiple path relays. Int. J. Commun. Syst. 33(14) (2020) - [j2]Abhilash Singh, Kumar Gaurav, Ganesh Kumar Meena, Shashi Kumar:
Estimation of Soil Moisture Applying Modified Dubois Model to Sentinel-1; A Regional Study from Central India. Remote. Sens. 12(14): 2266 (2020)
2010 – 2019
- 2019
- [j1]Abhilash Singh, Sandeep Sharma, Jitendra Singh, Rahul Kumar:
Mathematical modelling for reducing the sensing of redundant information in WSNs based on biologically inspired techniques. J. Intell. Fuzzy Syst. 37(5): 6829-6839 (2019)
Coauthor Index
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