A Fuzzy Interactive Method for Multiobjective Engineering Design Problems. - Kusum Deep; Krishna Pratap Singh; Mitthan Lal Kansal (ICETET, 2008)

A real coded genetic algorithm for solving integer and mixed integer optimization problems. - Kusum Deep; Krishna Pratap Singh; Mitthan Lal Kansal; C. Mohan 002 (Appl. Math. Comput., 2009)

Global Optimization of Molecular Potential Energy Function Using a Real Coded Genetic Algorithm. - Shashi Barak; Kusum Deep; Krishna Pratap Singh; Vinod Kumar Katiyar (BIOCOMP, 2010)

An interactive method using genetic algorithm for multi-objective optimization problems modeled in fuzzy environment. - Kusum Deep; Krishna Pratap Singh; Mitthan Lal Kansal; C. Mohan 002 (Expert Syst. Appl., 2011)

Cuckoo Search Optimization for Job Shop Scheduling Problem. - Shekhar Singh; Krishna Pratap Singh (SocProS (1), 2014)

Fuzzy-based interactive method for solution of bi- and multi-level programming problems. - Krishna Pratap Singh; Kusum Deep; Mitthan Lal Kansal (Int. J. Inf. Decis. Sci., 2014)

An Aggregation Based Approach with Pareto Ranking in Multiobjective Genetic Algorithm. - Muneendra Ojha; Krishna Pratap Singh; Pavan Chakraborty; Shekhar Verma (SocProS (2), 2015)

SVM with Feature Selection and Extraction Techniques for Defect-Prone Software Module Prediction. - Raj Kumar; Krishna Pratap Singh (SocProS (2), 2016)

Flip Error Elimination and Core Map Selection in Patch and Stitch Algorithms for Localization in Wireless Sensor Network. - Jyoti Kashniyal; Shekhar Verma; Krishna Pratap Singh (ICCCT, 2017)

Regularized Artificial Neural Network for Financial Data. - Rajat Gupta; Shrikant Gupta; Muneendra Ojha; Krishna Pratap Singh (SocProS (1), 2017)

Long Short-Term Memory Recurrent Neural Network Architectures for Melody Generation. - Abhinav Mishra; Kshitij Tripathi; Lakshay Gupta; Krishna Pratap Singh (SocProS (2), 2017)

Wireless Sensor Networks Localization Using Progressive Isomap. - Jyoti Kashniyal; Shekhar Verma; Krishna Pratap Singh (Wirel. Pers. Commun., 2017)

Staircase based differential privacy with branching mechanism for location privacy preservation in wireless sensor networks. - Bodhi Chakraborty; Shekhar Verma; Krishna Pratap Singh (Comput. Secur., 2018)

Highlighted Word Encoding for Abstractive Text Summarization. - Daisy Monika Lal; Krishna Pratap Singh; Uma Shanker Tiwary (IHCI, 2019)

Self-taught Learning: Image Classification Using Stacked Autoencoders. - Upendra Pratap Singh; Swapnil Chavan; Sahil Hindwani; Krishna Pratap Singh (SocProS (1), 2019)

A review of multi-objective optimisation and decision making using evolutionary algorithms. - Muneendra Ojha; Krishna Pratap Singh; Pavan Chakraborty; Shekhar Verma (Int. J. Bio Inspired Comput., 2019)

An Efficient Framework Using Normalized Dominance Operator for Multi-Objective Evolutionary Algorithms. - Muneendra Ojha; Krishna Pratap Singh; Pavan Chakraborty; Shekhar Verma (Int. J. Swarm Intell. Res., 2019)

A new patch and stitch algorithm for localization in wireless sensor networks. - Jyoti Kashniyal; Shekhar Verma; Krishna Pratap Singh (Wirel. Networks, 2019)

Differentially Private Location Privacy Preservation in Wireless Sensor Networks. - Bodhi Chakraborty; Shekhar Verma; Krishna Pratap Singh (Wirel. Pers. Commun., 2019)

DP-ANN: A new Differential Private Artificial Neural Network with Application on Health data (Workshop Paper). - Indrajeet Kumar Sinha; Krishna Pratap Singh; Shekhar Verma (BigMM, 2020)

Few Shots Learning: Caricature to Image Recognition Using Improved Relation Network. - Rashi Agrawal; Upendra Pratap Singh; Krishna Pratap Singh (CVIP (3), 2020)

Temporal Differential Privacy in Wireless Sensor Networks. - Bodhi Chakraborty; Shekhar Verma; Krishna Pratap Singh (J. Netw. Comput. Appl., 2020)

Handwritten signature verification using shallow convolutional neural network. - Anamika Jain; Satish Kumar Singh; Krishna Pratap Singh (Multim. Tools Appl., 2020)

Signature Based Authentication: A Multi-label Classification Approach to Detect the Language and Forged Sample in Signature. - Anamika Jain; Satish Kumar Singh; Krishna Pratap Singh (CVIP (1), 2021)

Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform. - Snigdha Sen; Snehanshu Saha; Pavan Chakraborty; Krishna Pratap Singh (IEA/AIE (2), 2021)

Layer Freezing for Regulating Fine-tuning in BERT for Extractive Text Summarization. - M. D. Aaditya; Daisy Monika Lal; Krishna Pratap Singh; Muneendra Ojha (PACIS, 2021)

Deep Hybrid Summarizer with Reinforced Sentence Selection. - Daisy Monika Lal; Ajay Kumar Singh; Krishna Pratap Singh (PACIS, 2021)

Multi-task learning using GNet features and SVM classifier for signature identification. - Anamika Jain; Satish Kumar Singh; Krishna Pratap Singh (IET Biom., 2021)

Signature verification using geometrical features and artificial neural network classifier. - Anamika Jain; Satish Kumar Singh; Krishna Pratap Singh (Neural Comput. Appl., 2021)

MTFL: Multi-task Federated Learning for Classification of Healthcare X-Ray Images. - Priyush Kumar; Indrajeet Kumar Sinha; Krishna Pratap Singh (CVIP (2), 2022)

VAE-AD: Unsupervised Variational Autoencoder for Anomaly Detection in Hyperspectral Images. - Nikhil Ojha; Indrajeet Kumar Sinha; Krishna Pratap Singh (ICONIP (7), 2022)

A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate. - Snigdha Sen; Snehanshu Saha; Pavan Chakraborty; Krishna Pratap Singh (ICONIP (5), 2022)

Meta-DZSL: a meta-dictionary learning based approach to zero-shot recognition. - Upendra Pratap Singh; Krishna Pratap Singh; Manoj Thakur (Appl. Intell., 2022)

ICE: Information coverage estimate for automatic evaluation abstractive summaries. - Daisy Monika Lal; Krishna Pratap Singh; Uma Shanker Tiwary (Expert Syst. Appl., 2022)

R-GRU: Regularized gated recurrent unit for handwritten mathematical expression recognition. - Aniket Pal; Krishna Pratap Singh (Multim. Tools Appl., 2022)

Multi-level shared-weight encoding for abstractive sentence summarization. - Daisy Monika Lal; Krishna Pratap Singh; Uma Shanker Tiwary (Neural Comput. Appl., 2022)

NucNormZSL: nuclear norm-based domain adaptation in zero-shot learning. - Upendra Pratap Singh; Krishna Pratap Singh; Manoj Thakur (Neural Comput. Appl., 2022)

A Personalized Cancer Diagnosis using Text based Clinical Data with Machine Learning Models. - Anand Geed; Ritesh Chandra; Sadhana Tiwari; Sonali Agarwal; Krishna Pratap Singh (OCIT, 2023)

Learning to Learn with Indispensable Connections. - Sambhavi Tiwari; Manas Gogoi; Shekhar Verma; Krishna Pratap Singh (CoRR, 2023)

DenseBAM-GI: Attention Augmented DeneseNet with momentum aided GRU for HMER. - Aniket Pal; Krishna Pratap Singh (CoRR, 2023)

FAM: fast adaptive meta-learning. - Indrajeet Kumar Sinha; Shekhar Verma; Krishna Pratap Singh (CoRR, 2023)

Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment. - Indrajeet Kumar Sinha; Shekhar Verma; Krishna Pratap Singh (CoRR, 2023)

A lightweight relation network for few-shots classification of hyperspectral images. - Anshul Mishra; Upendra Pratap Singh; Krishna Pratap Singh (Neural Comput. Appl., 2023)

AdamR-GRUs: Adaptive momentum-based Regularized GRU for HMER problems. - Aniket Pal; Krishna Pratap Singh (Appl. Soft Comput., 2023)

Enhancing Text-to-Image Synthesis with Higher Fusion Powers in Deep Fusion GAN. - Chanakya Patibandla; Harsha Putla; Krishna Pratap Singh (ICCCNT, 2024)

Evaluating Data Poisoning Vulnerability in Selective Reincarnation within c-MARL to Salt and Pepper Noise Attack. - Harsha Putla; Chanakya Patibandla; Krishna Pratap Singh; P. Nagabhushan (ICCCNT, 2024)

MDMFL: Monitored Defence Mechanism for Federated Learning against Data Poisoning Attack. - Indrajeet Kumar Sinha; Avadhoot Bangal; Krishna Pratap Singh; Shekhar Verma (ICCCNT, 2024)

RLTQC: Reinforcement Based Tabular Q-Learning for Cowry Game. - Harsha Putla; Krishna Pratap Singh; P. Nagabhushan (TENCON, 2024)

Deep Q-Snake: An Intelligent Agent Mastering the Snake Game with Deep Reinforcement Learning. - Debjyoti Ray; Arindam Ghosh; Muneendra Ojha; Krishna Pratap Singh (TENCON, 2024)

Sliding Window Gradient Sign Attack. - Indrajeet Kumar Sinha; Naman Kapoor; Krishna Pratap Singh (TENCON, 2024)

Robustness of Generative Adversarial CLIPs Against Single-Character Adversarial Attacks in Text-to-Image Generation. - Chanakya Patibandla; Harsha Putla; Krishna Pratap Singh (IEEE Access, 2024)

FAM: Adaptive federated meta-learning for MRI data. - Indrajeet Kumar Sinha; Shekhar Verma; Krishna Pratap Singh (Pattern Recognit. Lett., 2024)

A nuclear norm-induced robust and lightweight relation network for few-shots classification of hyperspectral images. - Upendra Pratap Singh; Krishna Pratap Singh; Manoj Thakur (Multim. Tools Appl., 2024)

A Pilot Study of Observation Poisoning on Selective Reincarnation in Multi-Agent Reinforcement Learning. - Harsha Putla; Chanakya Patibandla; Krishna Pratap Singh; P. Nagabhushan (Neural Process. Lett., 2024)

MAC: a meta-learning approach for feature learning and recombination. - Sambhavi Tiwari; Manas Gogoi; Shekhar Verma; Krishna Pratap Singh (Pattern Anal. Appl., 2024)

An Adjustable Pneumatic Planter with Reduced Source Vibration for Better Precision in Field Seeding. - Jyotirmay Mahapatra; Prem Shanker Tiwari; Krishna Pratap Singh; Balaji Murhari Nandede; Ramesh K. Sahni; Vikas Pagare; Jagjeet Singh; D. J. Shrinivasa; Sandip Mandal (Sensors, 2024)

Meta-DPSTL: meta learning-based differentially private self-taught learning. - Upendra Pratap Singh; Indrajeet Kumar Sinha; Krishna Pratap Singh; Shekhar Verma (Int. J. Mach. Learn. Cybern., 2024)

Learning to learn: a lightweight meta-learning approach with indispensable connections. - Sambhavi Tiwari; Manas Gogoi; Shekhar Verma; Krishna Pratap Singh (J. Supercomput., 2025)

Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture. - Abhishek Upadhyay; Narendra Singh Chandel; Krishna Pratap Singh; Subir Kumar Chakraborty; Balaji Murhari Nandede; Mohit Kumar; A. Subeesh; Konga Upendar; Ali Salem; Ahmed Elbeltagi (Artif. Intell. Rev., 2025)

Performance evaluation of efficient interpretable CNN-transformer model for redshift prediction. - Snigdha Sen; Ambuj Kumar Pandit; Pavan Chakraborty; Krishna Pratap Singh (Signal Image Video Process., 2025)