Naresh Kumar Nagwani

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 45

Top Topics

Community Question Answering

Intuitionistic Fuzzy

Text Classification

Top Venues

Data Technol. Appl.

Publications

Deepak Suresh Asudani, Naresh Kumar Nagwani, Pradeep Singh
A comparative evaluation of machine learning and deep learning algorithms for question categorization of VQA datasets. Multim. Tools Appl. 83 (19) (2024)
Rama Ranjan Panda, Naresh Kumar Nagwani
Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning. Knowl. Inf. Syst. 66 (3) (2024)
Supriya Gupta, Aakanksha Sharaff, Naresh Kumar Nagwani
Query based biomedical document retrieval for clinical information access with the semantic similarity. Multim. Tools Appl. 83 (18) (2024)
Rama Ranjan Panda, Naresh Kumar Nagwani
Software bug severity and priority prediction using SMOTE and intuitionistic fuzzy similarity measure. Appl. Soft Comput. 150 (2024)
Kamlesh Lakhwani, Gajanand Sharma, Ramandeep Sandhu, Naresh Kumar Nagwani, Sandeep Bhargava, Varsha Arya, Ammar Almomani
Adaptive and Convex Optimization-Inspired Workflow Scheduling for Cloud Environment. Int. J. Cloud Appl. Comput. 13 (1) (2023)
Rahul Shrivastava, Dilip Singh Sisodia, Naresh Kumar Nagwani
Deep neural network-based multi-stakeholder recommendation system exploiting multi-criteria ratings for preference learning. Expert Syst. Appl. 213 (Part) (2023)
Ravindra Kumar Chouhan, Mithilesh Atulkar, Naresh Kumar Nagwani
A Centralized LGBM based Attack Detection and Mitigation Approach for Software Defined Networks. ICCCNT (2023)
Naresh Kumar Nagwani, Jasjit S. Suri
An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review. Int. J. Inf. Manag. Data Insights 3 (1) (2023)
Ravindra Kumar Chouhan, Mithilesh Atulkar, Naresh Kumar Nagwani
A framework to detect DDoS attack in Ryu controller based software defined networks using feature extraction and classification. Appl. Intell. 53 (4) (2023)
Deepak Suresh Asudani, Naresh Kumar Nagwani, Pradeep Singh
Impact of word embedding models on text analytics in deep learning environment: a review. Artif. Intell. Rev. 56 (9) (2023)
Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi
CommunityGCN: community detection using node classification with graph convolution network. Data Technol. Appl. 57 (4) (2023)
Supriya Gupta, Aakanksha Sharaff, Naresh Kumar Nagwani
Frequent item-set mining and clustering based ranked biomedical text summarization. J. Supercomput. 79 (1) (2023)
Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi
A hybrid approach for predicting missing follower-followee links in social networks using topological features with ensemble learning. Data Technol. Appl. 57 (1) (2023)
Supriya Gupta, Aakanksha Sharaff, Naresh Kumar Nagwani
Graph Ranked Clustering Based Biomedical Text Summarization Using Top k Similarity. Comput. Syst. Sci. Eng. 45 (3) (2023)
Rama Ranjan Panda, Naresh Kumar Nagwani
Intuitionistic Fuzzy Set Based Ensemble Approaches for Software Bug Triaging. OCIT (2023)
Rama Ranjan Panda, Naresh Kumar Nagwani
An intuitionistic fuzzy representation based software bug severity prediction approach for imbalanced severity classes. Eng. Appl. Artif. Intell. 122 (2023)
Rama Ranjan Panda, Naresh Kumar Nagwani
IPSFS: Intuitionistic, pythagorean, and spherical fuzzy similarity computation package in R. Softw. Impacts 14 (2022)
Rama Ranjan Panda, Naresh Kumar Nagwani
Classification and intuitionistic fuzzy set based software bug triaging techniques. J. King Saud Univ. Comput. Inf. Sci. 34 (8 Part B) (2022)
Saurabh Agrawal, Dilip Singh Sisodia, Naresh Kumar Nagwani
Long short term memory based functional characterization model for unknown protein sequences using ensemble of shallow and deep features. Neural Comput. Appl. 34 (6) (2022)
Rama Ranjan Panda, Naresh Kumar Nagwani
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging. Knowl. Inf. Syst. 64 (11) (2022)
Saurabh Agrawal, Dilip Singh Sisodia, Naresh Kumar Nagwani
Functional characterization of unknown protein sequences using Neuro-Fuzzy based machine learning approach and sequence augmented feature. Expert Syst. Appl. 205 (2022)
Rahul Shrivastava, Dilip Singh Sisodia, Naresh Kumar Nagwani, Upendra Roy BP
An optimized recommendation framework exploiting textual review based opinion mining for generating pleasantly surprising, novel yet relevant recommendations. Pattern Recognit. Lett. 159 (2022)
Rahul Shrivastava, Dilip Singh Sisodia, Naresh Kumar Nagwani
Utility optimization-based multi-stakeholder personalized recommendation system. Data Technol. Appl. 56 (5) (2022)
Deepak Suresh Asudani, Naresh Kumar Nagwani, Pradeep Singh
Exploring the effectiveness of word embedding based deep learning model for improving email classification. Data Technol. Appl. 56 (4) (2022)
Saurabh Agrawal, Dilip Singh Sisodia, Naresh Kumar Nagwani
Augmented sequence features and subcellular localization for functional characterization of unknown protein sequences. Medical Biol. Eng. Comput. 59 (11) (2021)
Riju Bhattacharya, Naresh Kumar Nagwani, Sarsij Tripathi
A Comparative Study of Graph Kernels and Clustering Algorithms. Int. J. Multim. Data Eng. Manag. 12 (1) (2021)
Rama Ranjan Panda, Naresh Kumar Nagwani
Multi-label software bug categorisation based on fuzzy similarity. Int. J. Comput. Sci. Eng. 24 (3) (2021)
Mridu Sahu, Shrish Verma, Naresh Kumar Nagwani, Sneha Shukla
EEG signal analysis and classification on P300 speller-based BCI performance in ALS patients. Int. J. Medical Eng. Informatics 12 (4) (2020)
Abhishek Dutta, Abhisek Nayak, Aditya, Rama Ranjan Panda, Naresh Kumar Nagwani
A Neuro Fuzzy System Based Inflation Prediction of Agricultural Commodities. ICCCNT (2020)
Aakanksha Sharaff, Naresh Kumar Nagwani
ML-EC2: An Algorithm for Multi-Label Email Classification Using Clustering. Int. J. Web Based Learn. Teach. Technol. 15 (2) (2020)
Abhishek K. Singh, Naresh Kumar Nagwani, Sudhakar Pandey
Extracting and Summarizing the Commonly Faced Security Issues from Community Question Answering Site. Int. J. Inf. Secur. Priv. 13 (3) (2019)
Abhishek K. Singh, Naresh Kumar Nagwani, Sudhakar Pandey
A user ranking algorithm for efficient information management of community sites using spectral clustering and folksonomy. J. Inf. Sci. 45 (5) (2019)
Tirath Prasad Sahu, Reswanth Sai Thummalapudi, Naresh Kumar Nagwani
Automatic Question Tagging Using Multi-label Classification in Community Question Answering Sites. CSCloud/EdgeCom (2019)
Abhishek K. Singh, Naresh Kumar Nagwani, Sudhakar Pandey
RANKuser: A folksonomy and user profile based algorithm to identify experts in Community Question Answering sites. Data Technol. Appl. 52 (3) (2018)
Samrudhi Mohdiwale, Tirath Prasad Sahu, Rahul Kumar Chaurasia, Naresh Kumar Nagwani, Shrish Verma
Detection and Classification of Noise Using Bark Domain Features. ICCBN (2018)
Abhishek K. Singh, Naresh Kumar Nagwani, Sudhakar Pandey
TAGme: A Topical Folksonomy Based Collaborative Filtering for Tag Recommendation in Community Sites. MISNC (2017)
Naresh Kumar Nagwani, Aakanksha Sharaff
SMS spam filtering and thread identification using bi-level text classification and clustering techniques. J. Inf. Sci. 43 (1) (2017)
Naresh Kumar Nagwani
A bi-level text classification approach for sms spam filtering and identifying priority messages. Int. Arab J. Inf. Technol. 14 (4) (2017)
Aakanksha Sharaff, Naresh Kumar Nagwani
Effect of N-Grams Technique in Preprocessing of Email Spam Filtering. Int. J. Appl. Evol. Comput. 8 (1) (2017)
Tirath Prasad Sahu, Naresh Kumar Nagwani, Shrish Verma
Topical Authoritative Answerer Identification on Q&A Posts using Supervised Learning in CQA Sites. COMPUTE (2016)
Tirath Prasad Sahu, Naresh Kumar Nagwani, Shrish Verma
Selecting Best Answer: An Empirical Analysis on Community Question Answering Sites. IEEE Access 4 (2016)
Abhishek K. Singh, Debasish Sena, Naresh Kumar Nagwani, Sudhakar Pandey
Folksonomy Based Trend Analysis on Community Question Answering Sites: A Perspective on Software Technologies. IEEE Access 4 (2016)
Tirath Prasad Sahu, Naresh Kumar Nagwani, Shrish Verma
Multivariate Beta Mixture Model for Automatic Identification of Topical Authoritative Users in Community Question Answering Sites. IEEE Access 4 (2016)
Aakanksha Sharaff, Naresh Kumar Nagwani
Email thread identification using latent Dirichlet allocation and non-negative matrix factorization based clustering techniques. J. Inf. Sci. 42 (2) (2016)
Naresh Kumar Nagwani, Shrish Verma
Generating Intelligent Summary Terms for Improving Knowledge Discovery in Software Bug Repositories. Int. J. Softw. Eng. Knowl. Eng. 26 (5) (2016)
Naresh Kumar Nagwani
Summarizing large text collection using topic modeling and clustering based on MapReduce framework. J. Big Data 2 (2015)
Naresh Kumar Nagwani
A Comment on "A Similarity Measure for Text Classification and Clustering". IEEE Trans. Knowl. Data Eng. 27 (9) (2015)
Sanjay Chakraborty, Naresh Kumar Nagwani
Performance Evaluation of Incremental K-means Clustering Algorithm. CoRR (2014)
Sanjay Chakraborty, Naresh Kumar Nagwani, Lopamudra Dey
Weather Forecasting using Incremental K-means Clustering. CoRR (2014)
Sanjay Chakraborty, Naresh Kumar Nagwani, Lopamudra Dey
Performance Comparison of Incremental K-means and Incremental DBSCAN Algorithms. CoRR (2014)
Sanjay Chakraborty, Naresh Kumar Nagwani
Analysis and Study of Incremental DBSCAN Clustering Algorithm. CoRR (2014)
Naresh Kumar Nagwani, Shrish Verma
A Comparative Study of Bug Classification Algorithms. Int. J. Softw. Eng. Knowl. Eng. 24 (1) (2014)
Neeraj Kumar Sharma, Naresh Kumar Nagwani
Study and Analysis of Incremental Apriori Algorithm. HPAGC (2011)