Sensitivity Measurement of Neural Hardware: A Simulation Based Study. - Amit Prakash Singh; Pravin Chandra; Chandra Shekhar Rai (IC3 (2), 2010)

Metrics for measurement of additive noise to weight in sigmoidal FFANNs. - Amit Prakash Singh; Chandra Shekhar Rai; Pravin Chandra (ICARCV, 2010)

Metrics for Weight Stuck-at-Zero Fault in Sigmoidal FFANNs. - Amit Prakash Singh; Sartaj Singh Sodhi; Pravin Chandra; Chandra Shekhar Rai (EMS, 2013)

A statistically resilient method of weight initialization for SFANN. - Apeksha Mittal; Pravin Chandra; Amit Prakash Singh (ICACCI, 2015)

Entropy based content filtering for Mobile Web Page Adaptation. - Neetu Narwal; Sanjay Kumar Sharma; Amit Prakash Singh (WCI, 2015)

An empirical evaluation of local descriptors in object recognition. - Ritu Rani; Ravinder Kumar 001; Amit Prakash Singh (ICACCI, 2016)

A Novel Hybrid Technique for Big Data Classification Using Decision Tree Learning. - Khyati Ahlawat; Amit Prakash Singh (CICBA (1), 2017)

Defect and fault detection in combinational circuits: Techniques and analysis. - Namita Arya; Amit Prakash Singh (ICACCI, 2017)

Recent Advancements in Image-Based Prediction Models for Diagnosis of Plant Diseases. - Shradha Verma; Anuradha Chug; Amit Prakash Singh (CVIP (1), 2018)

Prediction Models for Identification and Diagnosis of Tomato Plant Diseases. - Shradha Verma; Anuradha Chug; Amit Prakash Singh (ICACCI, 2018)

Dynamic Routing Using Inter Capsule Routing Protocol between Capsules. - Sanjib Kumar Sahu; Pankaj Kumar; Amit Prakash Singh (UKSim, 2018)

Fuzzy rule-base optimisation using genetic algorithm for mobile web page adaptation. - Neetu Narwal; Sanjay Kumar Sharma; Amit Prakash Singh (Int. J. Inf. Decis. Sci., 2018)

An empirical evaluation of translational and rotational invariance of descriptors and the classification of flower dataset. - Ritu Rani; Ravinder Kumar 001; Amit Prakash Singh (Pattern Anal. Appl., 2018)

Empirical Evaluation of Map Reduce Based Hybrid Approach for Problem of Imbalanced Classification in Big Data. - Khyati Ahlawat; Anuradha Chug; Amit Prakash Singh (Int. J. Grid High Perform. Comput., 2019)

Impact of reduction in descriptor size on object detection and classification. - Ritu Rani; Amit Prakash Singh; Ravinder Kumar 001 (Multim. Tools Appl., 2019)

Benchmarking framework for class imbalance problem using novel sampling approach for big data. - Khyati Ahlawat; Anuradha Chug; Amit Prakash Singh (Int. J. Syst. Assur. Eng. Manag., 2019)

Impact of Hyperparameter Tuning on Deep Learning Based Estimation of Disease Severity in Grape Plant. - Shradha Verma; Anuradha Chug; Amit Prakash Singh (SCDM, 2020)

Investigate the Impact of Resampling Techniques on Imbalanced Datasets: A Case Study in Plant Disease Prediction. - Anshul Bhatia; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (IC3, 2021)

A Novel Hybrid Sampling Algorithm for Solving Class Imbalance Problem in Big Data. - Khyati Ahlawat; Anuradha Chug; Amit Prakash Singh (Adv. Data Sci. Adapt. Anal., 2021)

Weight and bias initialization routines for Sigmoidal Feedforward Network. - Apeksha Mittal; Amit Prakash Singh; Pravin Chandra (Appl. Intell., 2021)

Statistical analysis of machine learning techniques for predicting powdery mildew disease in tomato plants. - Anshul Bhatia; Anuradha Chug; Amit Prakash Singh (Int. J. Intell. Eng. Informatics, 2021)

A Modified Binary Descriptor for Object Detection. - Ritu Rani; Ravinder Kumar 001; Amit Prakash Singh (J. Inf. Technol. Res., 2021)

A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture: A Case Study of Banana Crop. - Amit Prakash Singh; Priyanka Sahu; Anuradha Chug; Dinesh Singh (IEEE Access, 2022)

A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction. - Anshul Bhatia; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (Intell. Data Anal., 2022)

A secure and improved two factor authentication scheme using elliptic curve and bilinear pairing for cyber physical systems. - Aritro Sengupta; Amit Prakash Singh; Pankaj Kumar; Tapobrata Dhar (Multim. Tools Appl., 2022)

Multi-Disease Classification in In-Field Coffee Leaves Using Cost-Efficient Ensemble Classifier. - Ayushi Gupta; Anuradha Chug; Amit Prakash Singh (ICCCNT, 2023)

A platform independent and forensically sound method to extract WhatsApp data from mobile phones. - Aritro Sengupta; Amit Prakash Singh; B. M. Vinjit (Int. J. Electron. Secur. Digit. Forensics, 2023)

A novel framework for image-based plant disease detection using hybrid deep learning approach. - Anuradha Chug; Anshul Bhatia; Amit Prakash Singh; Dinesh Singh (Soft Comput., 2023)

Fractional mega trend diffusion function-based feature extraction for plant disease prediction. - Anshul Bhatia; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (Int. J. Mach. Learn. Cybern., 2023)

Novel fuzzy clustering-based undersampling framework for class imbalance problem. - Vibha Pratap; Amit Prakash Singh (Int. J. Syst. Assur. Eng. Manag., 2023)

Classification of crop leaf diseases using image to image translation with deep-dream. - Priyanka Sahu; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (Multim. Tools Appl., 2023)

PDS-MCNet: a hybrid framework using MobileNetV2 with SiLU6 activation function and capsule networks for disease severity estimation in plants. - Shradha Verma; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (Neural Comput. Appl., 2023)

Processing and optimized learning for improved classification of categorical plant disease datasets. - Ayushi Gupta; Anuradha Chug; Amit Prakash Singh (Intell. Data Anal., 2024)

Plant Disease Detection and Severity Assessment Using Image Processing and Deep Learning Techniques. - Shradha Verma; Anuradha Chug; Amit Prakash Singh; Dinesh Singh (SN Comput. Sci., 2024)

Revisiting activation functions: empirical evaluation for image understanding and classification. - Shradha Verma; Anuradha Chug; Amit Prakash Singh (Multim. Tools Appl., 2024)

modSwish: a new activation function for neural network. - Heena Kalim; Anuradha Chug; Amit Prakash Singh (Evol. Intell., 2024)