Mathematical modelling for reducing the sensing of redundant information in WSNs based on biologically inspired techniques. - Abhilash Singh; Sandeep Sharma 001; Jitendra Singh; Rahul Kumar (J. Intell. Fuzzy Syst., 2019)

A Machine Learning Approach to Predict the Average Localization Error With Applications to Wireless Sensor Networks. - Abhilash Singh; Vaibhav Kotiyal; Sandeep Sharma 001; Jaiprakash Nagar; Cheng-Chi Lee (IEEE Access, 2020)

Wireless information and power transfer using single and multiple path relays. - Sandeep Sharma 001; Rahul Kumar; Abhilash Singh; Jitendra Singh (Int. J. Commun. Syst., 2020)

Estimation of Soil Moisture Applying Modified Dubois Model to Sentinel-1; A Regional Study from Central India. - Abhilash Singh; Kumar Gaurav; Ganesh Kumar Meena; Shashi Kumar (Remote. Sens., 2020)

Nature-inspired algorithms for Wireless Sensor Networks: A comprehensive survey. - Abhilash Singh; Sandeep Sharma 001; Jitendra Singh (Comput. Sci. Rev., 2021)

A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks. - Abhilash Singh; Jaiprakash Nagar; Sandeep Sharma 001; Vaibhav Kotiyal (Expert Syst. Appl., 2021)

A novel model to eliminate the doubly near-far problem in wireless powered communication network. - Jitendra Singh; Akanksha Chaturvedi; Sandeep Sharma 001; Abhilash Singh (IET Commun., 2021)

Machine Learning to Estimate Surface Roughness from Satellite Images. - Abhilash Singh; Kumar Gaurav; Atul Kumar Rai; Zafar Beg (Remote. Sens., 2021)

ECS-NL: An Enhanced Cuckoo Search Algorithm for Node Localisation in Wireless Sensor Networks. - Vaibhav Kotiyal; Abhilash Singh; Sandeep Sharma 001; Jaiprakash Nagar; Cheng-Chi Lee (Sensors, 2021)

Drainage congestion due to road network on the Kosi alluvial Fan, Himalayan Foreland. - Abhilash Singh; Mood Niranjan Naik; Kumar Gaurav (Int. J. Appl. Earth Obs. Geoinformation, 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. - Abhilash Singh; J. Amutha; Jaiprakash Nagar; Sandeep Sharma 001; Cheng-Chi Lee (Sensors, 2022)

Intrusion Detection System in Wireless Sensor Network Using Conditional Generative Adversarial Network. - Tanya Sood; Satyartha Prakash; Sandeep Sharma 001; Abhilash Singh; Hemant Choubey (Wirel. Pers. Commun., 2022)

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. - Abhilash Singh; Kumar Gaurav; Gaurav Kailash Sonkar; Cheng-Chi Lee (IEEE Access, 2023)

A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks. - Abhilash Singh; J. Amutha; Jaiprakash Nagar; Sandeep Sharma 001 (Expert Syst. Appl., 2023)

Leveraging hybrid machine learning and data fusion for accurate mapping of malaria cases using meteorological variables in western India. - Abhilash Singh; Manish Mehra; Amit Kumar; Mood Niranjan Naik; Dev Priya; Kumar Gaurav (Intell. Syst. Appl., 2023)

Average Localization Error (ALE) in sensor node localization process in WSNs. - Abhilash Singh; Vaibhav Kotiyal; Sandeep Sharma 001; Jaiprakash Nagar; Cheng-Chi Lee (UCI Machine Learning Repository, 2023)

A machine learning approach to predict the k-coverage probability of wireless multihop networks considering boundary and shadowing effects. - Jaiprakash Nagar; Sanjay Kumar Chaturvedi; Sieteng Soh; Abhilash Singh (Expert Syst. Appl., 2023)

P2CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the k-barriers for intrusion detection. - Abhilash Singh; Jaiprakash Nagar; J. Amutha; Sandeep Sharma 001 (Eng. Appl. Artif. Intell., 2023)

SHS: Scorpion Hunting Strategy Swarm Algorithm. - Abhilash Singh; Seyed Muhammad Hossein Mousavi; Kumar Gaurav (CoRR, 2024)

Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction. - Vipul Bhadani; Abhilash Singh; Vaibhav Kumar; Kumar Gaurav (Environ. Model. Softw., 2024)

PIML-SM: Physics-Informed Machine Learning to Estimate Surface Soil Moisture From Multisensor Satellite Images by Leveraging Swarm Intelligence. - Abhilash Singh; Kumar Gaurav (IEEE Trans. Geosci. Remote. Sens., 2024)

F-TLBO-ID: Fuzzy fed teaching learning based optimisation algorithm to predict the number of k-barriers for intrusion detection. - Abhilash Singh; Seyed Muhammad Hossein Mousavi; Jaiprakash Nagar (Appl. Soft Comput., 2024)

AutoML-GWL: Automated machine learning model for the prediction of groundwater level. - Abhilash Singh; Sharad Patel; Vipul Bhadani; Vaibhav Kumar; Kumar Gaurav (Eng. Appl. Artif. Intell., 2024)

Assessment of machine learning models to predict daily streamflow in a semiarid river catchment. - Amit Kumar; Kumar Gaurav; Abhilash Singh; Zaher Mundher Yaseen (Neural Comput. Appl., 2024)

Overcoming data scarcity: A transfer learning framework with fine-tuned neural networks and multi-sensor satellite image fusion for soil moisture estimation. - Abhilash Singh; M. Niranjannaik; Kumar Gaurav (Eng. Appl. Artif. Intell., 2025)

AutoML-Fire: Automated machine-learning approach to predict forest fires. - Saurabh Toraskar; Adil Khan; M. Niranjannaik; Abhilash Singh; Kumar Gaurav (Environ. Model. Softw., 2025)

Recent advancements in soft ankle/knee exoskeletons technologies: systems, actuation and control. - Harsh Harikrishnan Soni; Pranjal Sharma; Mervin Joe Thomas; C. M. C. Krishnan; Abhilash Singh (Robotics Auton. Syst., 2025)