Study and Analysis of Incremental Apriori Algorithm. - Neeraj Kumar Sharma 005; Naresh Kumar Nagwani (HPAGC, 2011)

Performance Evaluation of Incremental K-means Clustering Algorithm. - Sanjay Chakraborty; Naresh Kumar Nagwani (CoRR, 2014)

Analysis and Study of Incremental DBSCAN Clustering Algorithm. - Sanjay Chakraborty; Naresh Kumar Nagwani (CoRR, 2014)

Performance Comparison of Incremental K-means and Incremental DBSCAN Algorithms. - Sanjay Chakraborty; Naresh Kumar Nagwani; Lopamudra Dey (CoRR, 2014)

Weather Forecasting using Incremental K-means Clustering. - Sanjay Chakraborty; Naresh Kumar Nagwani; Lopamudra Dey (CoRR, 2014)

A Comparative Study of Bug Classification Algorithms. - Naresh Kumar Nagwani; Shrish Verma (Int. J. Softw. Eng. Knowl. Eng., 2014)

Summarizing large text collection using topic modeling and clustering based on MapReduce framework. - Naresh Kumar Nagwani (J. Big Data, 2015)

A Comment on "A Similarity Measure for Text Classification and Clustering". - Naresh Kumar Nagwani (IEEE Trans. Knowl. Data Eng., 2015)

Topical Authoritative Answerer Identification on Q&A Posts using Supervised Learning in CQA Sites. - Tirath Prasad Sahu; Naresh Kumar Nagwani; Shrish Verma (COMPUTE, 2016)

Selecting Best Answer: An Empirical Analysis on Community Question Answering Sites. - Tirath Prasad Sahu; Naresh Kumar Nagwani; Shrish Verma (IEEE Access, 2016)

Multivariate Beta Mixture Model for Automatic Identification of Topical Authoritative Users in Community Question Answering Sites. - Tirath Prasad Sahu; Naresh Kumar Nagwani; Shrish Verma (IEEE Access, 2016)

Folksonomy Based Trend Analysis on Community Question Answering Sites: A Perspective on Software Technologies. - Abhishek K. Singh 001; Debasish Sena; Naresh Kumar Nagwani; Sudhakar Pandey (IEEE Access, 2016)

Generating Intelligent Summary Terms for Improving Knowledge Discovery in Software Bug Repositories. - Naresh Kumar Nagwani; Shrish Verma (Int. J. Softw. Eng. Knowl. Eng., 2016)

Email thread identification using latent Dirichlet allocation and non-negative matrix factorization based clustering techniques. - Aakanksha Sharaff; Naresh Kumar Nagwani (J. Inf. Sci., 2016)

TAGme: A Topical Folksonomy Based Collaborative Filtering for Tag Recommendation in Community Sites. - Abhishek K. Singh 001; Naresh Kumar Nagwani; Sudhakar Pandey (MISNC, 2017)

A bi-level text classification approach for sms spam filtering and identifying priority messages. - Naresh Kumar Nagwani (Int. Arab J. Inf. Technol., 2017)

Effect of N-Grams Technique in Preprocessing of Email Spam Filtering. - Aakanksha Sharaff; Naresh Kumar Nagwani (Int. J. Appl. Evol. Comput., 2017)

SMS spam filtering and thread identification using bi-level text classification and clustering techniques. - Naresh Kumar Nagwani; Aakanksha Sharaff (J. Inf. Sci., 2017)

Detection and Classification of Noise Using Bark Domain Features. - Samrudhi Mohdiwale; Tirath Prasad Sahu; Rahul Kumar Chaurasia; Naresh Kumar Nagwani; Shrish Verma (ICCBN, 2018)

RANKuser: A folksonomy and user profile based algorithm to identify experts in Community Question Answering sites. - Abhishek K. Singh 001; Naresh Kumar Nagwani; Sudhakar Pandey (Data Technol. Appl., 2018)

Automatic Question Tagging Using Multi-label Classification in Community Question Answering Sites. - Tirath Prasad Sahu; Reswanth Sai Thummalapudi; Naresh Kumar Nagwani (CSCloud/EdgeCom, 2019)

Extracting and Summarizing the Commonly Faced Security Issues from Community Question Answering Site. - Abhishek K. Singh 001; Naresh Kumar Nagwani; Sudhakar Pandey (Int. J. Inf. Secur. Priv., 2019)

A user ranking algorithm for efficient information management of community sites using spectral clustering and folksonomy. - Abhishek K. Singh 001; Naresh Kumar Nagwani; Sudhakar Pandey (J. Inf. Sci., 2019)

A Neuro Fuzzy System Based Inflation Prediction of Agricultural Commodities. - Abhishek Dutta 005; Abhisek Nayak; Aditya; Rama Ranjan Panda; Naresh Kumar Nagwani (ICCCNT, 2020)

EEG signal analysis and classification on P300 speller-based BCI performance in ALS patients. - Mridu Sahu; Shrish Verma; Naresh Kumar Nagwani; Sneha Shukla (Int. J. Medical Eng. Informatics, 2020)

ML-EC2: An Algorithm for Multi-Label Email Classification Using Clustering. - Aakanksha Sharaff; Naresh Kumar Nagwani (Int. J. Web Based Learn. Teach. Technol., 2020)

Multi-label software bug categorisation based on fuzzy similarity. - Rama Ranjan Panda; Naresh Kumar Nagwani (Int. J. Comput. Sci. Eng., 2021)

A Comparative Study of Graph Kernels and Clustering Algorithms. - Riju Bhattacharya; Naresh Kumar Nagwani; Sarsij Tripathi (Int. J. Multim. Data Eng. Manag., 2021)

Augmented sequence features and subcellular localization for functional characterization of unknown protein sequences. - Saurabh Agrawal 001; Dilip Singh Sisodia; Naresh Kumar Nagwani (Medical Biol. Eng. Comput., 2021)

Functional characterization of unknown protein sequences using Neuro-Fuzzy based machine learning approach and sequence augmented feature. - Saurabh Agrawal 001; Dilip Singh Sisodia; Naresh Kumar Nagwani (Expert Syst. Appl., 2022)

Classification and intuitionistic fuzzy set based software bug triaging techniques. - Rama Ranjan Panda; Naresh Kumar Nagwani (J. King Saud Univ. Comput. Inf. Sci., 2022)

Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging. - Rama Ranjan Panda; Naresh Kumar Nagwani (Knowl. Inf. Syst., 2022)

Long short term memory based functional characterization model for unknown protein sequences using ensemble of shallow and deep features. - Saurabh Agrawal 001; Dilip Singh Sisodia; Naresh Kumar Nagwani (Neural Comput. Appl., 2022)

An optimized recommendation framework exploiting textual review based opinion mining for generating pleasantly surprising, novel yet relevant recommendations. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani; Upendra Roy BP (Pattern Recognit. Lett., 2022)

Exploring the effectiveness of word embedding based deep learning model for improving email classification. - Deepak Suresh Asudani; Naresh Kumar Nagwani; Pradeep Singh 001 (Data Technol. Appl., 2022)

Utility optimization-based multi-stakeholder personalized recommendation system. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Data Technol. Appl., 2022)

IPSFS: Intuitionistic, pythagorean, and spherical fuzzy similarity computation package in R. - Rama Ranjan Panda; Naresh Kumar Nagwani (Softw. Impacts, 2022)

Intuitionistic Fuzzy Set Based Ensemble Approaches for Software Bug Triaging. - Rama Ranjan Panda; Naresh Kumar Nagwani (OCIT, 2023)

A Centralized LGBM based Attack Detection and Mitigation Approach for Software Defined Networks. - Ravindra Kumar Chouhan; Mithilesh Atulkar; Naresh Kumar Nagwani (ICCCNT, 2023)

Graph Ranked Clustering Based Biomedical Text Summarization Using Top k Similarity. - Supriya Gupta; Aakanksha Sharaff; Naresh Kumar Nagwani (Comput. Syst. Sci. Eng., 2023)

An intuitionistic fuzzy representation based software bug severity prediction approach for imbalanced severity classes. - Rama Ranjan Panda; Naresh Kumar Nagwani (Eng. Appl. Artif. Intell., 2023)

Deep neural network-based multi-stakeholder recommendation system exploiting multi-criteria ratings for preference learning. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Expert Syst. Appl., 2023)

Adaptive and Convex Optimization-Inspired Workflow Scheduling for Cloud Environment. - Kamlesh Lakhwani; Gajanand Sharma; Ramandeep Sandhu; Naresh Kumar Nagwani; Sandeep Bhargava; Varsha Arya; Ammar Almomani (Int. J. Cloud Appl. Comput., 2023)

An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review. - Naresh Kumar Nagwani; Jasjit S. Suri (Int. J. Inf. Manag. Data Insights, 2023)

A hybrid approach for predicting missing follower-followee links in social networks using topological features with ensemble learning. - Riju Bhattacharya; Naresh Kumar Nagwani; Sarsij Tripathi (Data Technol. Appl., 2023)

CommunityGCN: community detection using node classification with graph convolution network. - Riju Bhattacharya; Naresh Kumar Nagwani; Sarsij Tripathi (Data Technol. Appl., 2023)

Frequent item-set mining and clustering based ranked biomedical text summarization. - Supriya Gupta; Aakanksha Sharaff; Naresh Kumar Nagwani (J. Supercomput., 2023)

A framework to detect DDoS attack in Ryu controller based software defined networks using feature extraction and classification. - Ravindra Kumar Chouhan; Mithilesh Atulkar; Naresh Kumar Nagwani (Appl. Intell., 2023)

Impact of word embedding models on text analytics in deep learning environment: a review. - Deepak Suresh Asudani; Naresh Kumar Nagwani; Pradeep Singh 001 (Artif. Intell. Rev., 2023)

Prediction of Software Bug Fixing Time Using Intuitionistic Fuzzy Similarity Measure on Bug Informative Terms. - Rama Ranjan Panda; Naresh Kumar Nagwani (OCIT, 2024)

Multi-label classification and fuzzy similarity-based expert identification techniques for software bug assignment. - Rama Ranjan Panda; Naresh Kumar Nagwani (Int. J. Comput. Sci. Eng., 2024)

Multi-stakeholder recommendation system through deep learning-based preference evaluation and aggregation model with multi-view information embedding. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Inf. Process. Manag., 2024)

A comparative evaluation of machine learning and deep learning algorithms for question categorization of VQA datasets. - Deepak Suresh Asudani; Naresh Kumar Nagwani; Pradeep Singh 001 (Multim. Tools Appl., 2024)

Software bug severity and priority prediction using SMOTE and intuitionistic fuzzy similarity measure. - Rama Ranjan Panda; Naresh Kumar Nagwani (Appl. Soft Comput., 2024)

Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning. - Rama Ranjan Panda; Naresh Kumar Nagwani (Knowl. Inf. Syst., 2024)

Query based biomedical document retrieval for clinical information access with the semantic similarity. - Supriya Gupta; Aakanksha Sharaff; Naresh Kumar Nagwani (Multim. Tools Appl., 2024)

Cancer hallmark analysis using semantic classification with enhanced topic modelling on biomedical literature. - Supriya Gupta; Aakanksha Sharaff; Naresh Kumar Nagwani (Multim. Tools Appl., 2024)

Correction to: Cancer hallmark analysis using semantic classification with enhanced topic modelling on biomedical literature. - Supriya Gupta; Aakanksha Sharaff; Naresh Kumar Nagwani (Multim. Tools Appl., 2024)

Deep ensembled multi-criteria recommendation system for enhancing and personalizing the user experience on e-commerce platforms. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Knowl. Inf. Syst., 2024)

Preference-based crossover technique for optimizing conflicting objectives in multi-stakeholders recommendation systems. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Inf. Sci., 2025)

Multilevel characterization of unknown protein sequences using hierarchical long short term memory model. - Saurabh Agrawal 001; Dilip Singh Sisodia; Naresh Kumar Nagwani (Multim. Tools Appl., 2025)

An extensive bibliometric analysis of artificial intelligence techniques from 2013 to 2023. - Aditi Bajpai; Sonal Yadav; Naresh Kumar Nagwani (J. Supercomput., 2025)