Path Stability Based Adaptation of MANET Routing Protocols. - Sandeep Choudhary; M. M. Gore; O. P. Vyas 001 (IWDC, 2004)

A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases. - Lokesh Kumar Sharma; Om Prakash Vyas; Uma Shanker Tiwary; Ranjana Vyas (MLDM, 2005)

Temporal Approach to Association Rule Mining Using T-Tree and P-Tree. - Keshri Verma; Om Prakash Vyas; Ranjana Vyas (MLDM, 2005)

Efficient calendar based temporal association rule. - Keshri Verma; Om Prakash Vyas (SIGMOD Rec., 2005)

A Survey of Simulation in Sensor Networks. - Chandresh Pratap Singh; O. P. Vyas 001; Manoj Kumar Tiwari (CIMCA/IAWTIC/ISE, 2008)

An Overview of Routing Protocols of Sensor Networks. - Chandresh Pratap Singh; O. P. Vyas 001; Manoj Kumar Tiwari (CIMCA/IAWTIC/ISE, 2008)

Associative Classifiers for Predictive Analytics: Comparative Performance Study. - Ranjana Vyas; Lokesh Kumar Sharma; Om Prakash Vyas; Simon Scheider (EMS, 2008)

A Survey of Sensor Network and Related Routing Protocols. - O. P. Vyas 001; M. K. Tiwari; Chandresh Pratap Singh (ICSOFT (PL/DPS/KE), 2008)

Efficient clustering technique for regionalisation of a spatial database. - Lokesh Kumar Sharma; Simon Scheider; Willy Kloesgen; Om Prakash Vyas (Int. J. Bus. Intell. Data Min., 2008)

An Associative Classifier using Weighted Association Rule. - Sunitha Soni; Jyothi Pillai; O. P. Vyas 001 (NaBIC, 2009)

Evaluation of Varrying Mobility Models & Network Loads on DSDV Protocol of MANETs - C. P. Agrawal; O. P. Vyas 001; Manoj Kumar Tiwari (CoRR, 2009)

Investigation on Effectiveness of Simulation Results for Wireless Sensor Networks. - A. K. Dwivedi; V. K. Patle; O. P. Vyas 001 (BAIP, 2010)

Nearest Neighbour Classification for Trajectory Data. - Lokesh Kumar Sharma; Om Prakash Vyas; Simon Scheider; Ajaya K. Akasapu (ICT, 2010)

LiDDM: A Data Mining System for Linked Data. - Venkata Narasimha Pavan Kappara; Ryutaro Ichise; O. P. Vyas 001 (LDOW, 2011)

An Exploratory Study of Experimental Tools for Wireless Sensor Networks. - A. K. Dwivedi; O. P. Vyas 001 (Wirel. Sens. Netw., 2011)

HURI - A Novel Algorithm for Mining High Utility Rare Itemsets. - Jyothi Pillai; O. P. Vyas 001; Maybin K. Muyeba (ACITY (2), 2012)

Recent frequent itemsets mining over data streams. - S. Pramod; O. P. Vyas 001 (CCSEIT, 2012)

CSHURI - Modified HURI algorithm for Customer Segmentation and Transaction Profitability - Jyothi Pillai; O. P. Vyas 001 (CoRR, 2012)

A Framework of Service Selection and Composition for Flexible Network Architecture. - Akhilendra Pratap Singh; O. P. Vyas 001; Shirshu Varma (QSHINE, 2013)

Building Weighted Associative Classifiers using Maximum Likelihood Estimation to Improve Prediction Accuracy in Health Care Data Mining. - Sunitha Soni; O. P. Vyas 001 (J. Inf. Knowl. Manag., 2013)

SemMovieRec: extraction of semantic features of DBpedia for recommender system. - Nidhi Kushwaha; O. P. Vyas 001 (COMPUTE, 2014)

A Meta-Heuristic Regression-Based Feature Selection for Predictive Analytics. - Bharat Singh; O. P. Vyas 001 (Data Sci. J., 2014)

Leveraging Bibliographic RDF Data for Keyword Prediction with Association Rule Mining (ARM). - Nidhi Kushwaha; O. P. Vyas 001 (Data Sci. J., 2014)

Flexible Service Oriented Network Architecture for Wireless Sensor Networks. - Akhilendra Pratap Singh; O. P. Vyas 001; Shirshu Varma (Int. J. Comput. Commun. Control, 2014)

SemTopMF - Prediction Recomendation by Semantic Topics Through Matrix Factorization Approach. - Nidhi Kushwaha; O. P. Vyas 001 (WEBIST, 2015)

Service-oriented network architecture: significant issues and principles of communication. - Bhawana Rudra; A. P. Manu; O. P. Vyas 001 (Int. J. Comput. Sci. Eng., 2015)

Exploration of access control mechanisms for service-oriented network architecture. - Bhawana Rudra; O. P. Vyas 001 (Int. J. Internet Protoc. Technol., 2015)

Information theoretic approach for cold start users with diversity improvement technique for semantic recommender system. - Nidhi Kushwaha; O. P. Vyas 001 (Int. J. Metadata Semant. Ontologies, 2015)

Understanding and mitigating security and authentication issues in service oriented network architecture. - Bhawana Rudra; O. P. Vyas 001 (Int. J. Secur. Networks, 2015)

An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage. - Monika Rani; Riju Nayak; O. P. Vyas 001 (Knowl. Based Syst., 2015)

Blended e-Learning Training (BeLT): Enhancing Railway Station Controller Knowledge. - Aditya Khamparia; Monika Rani; Babita Pandey; O. P. Vyas 001 (ICTCS, 2016)

SemPMF: Semantic Inclusion by Probabilistic Matrix Factorization for Recommender System. - Nidhi Kushwaha; Xudong Sun 002; O. P. Vyas 001; Artus Krohn-Grimberghe (PAAMS (Special Sessions), 2016)

Towards an Ontology development for automated applications in Smart City environment of SmartME Project. - Nidhi Kushwaha; Om Prakash Vyas; Carlo Puliafito; Ranjana Vyas (VALUETOOLS, 2016)

A Discounted Fuzzy Relational Clustering of Web Users' Using Intuitive Augmented Sessions Dissimilarity Metric. - Dilip Singh Sisodia; Shrish Verma; Om Prakash Vyas (IEEE Access, 2016)

An ontological learning management system. - Monika Rani; Kumar Vaibhav Srivastava; Om Prakash Vyas (Comput. Appl. Eng. Educ., 2016)

A PSO Based Approach for Producing Optimized Latent Factor in Special Reference to Big Data. - Bharat Singh; Om Prakash Vyas (Int. J. Serv. Sci. Manag. Eng. Technol., 2016)

Investigation of security issues for service-oriented network architecture. - Bhawana Rudra; Om Prakash Vyas (Secur. Commun. Networks, 2016)

Providing Sensor Services by Data Correlation: The #SmartME Approach. - Nidhi Kushwaha; Giovanni Merlino; Francesco Longo 001; Dario Bruneo; Antonio Puliafito; O. P. Vyas 001 (CISIS, 2017)

IoT deployment for smarter cities with special reference to mobility. - Nachiket Tapas; O. P. Vyas 001 (ICC, 2017)

Ontology-based Classification and Analysis of non- emergency Smart-city Events. - Monika Rani; Sanchit Alekh; Aditya Bhardwaj; Abhinav Gupta 004; O. P. Vyas 001 (CoRR, 2017)

Smart Bike Sharing System to make the City even Smarter. - Monika Rani; O. P. Vyas 001 (CoRR, 2017)

A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering. - Monika Rani; Maybin K. Muyeba; O. P. Vyas 001 (CoRR, 2017)

Semi-automatic terminology ontology learning based on topic modeling. - Monika Rani; Amit Kumar Dhar; O. P. Vyas 001 (Eng. Appl. Artif. Intell., 2017)

Augmented intuitive dissimilarity metric for clustering of Web user sessions. - Dilip Singh Sisodia; Shrish Verma; Om Prakash Vyas (J. Inf. Sci., 2017)

Fuzzy Rule-Based Approach for Software Fault Prediction. - Pradeep Singh 001; Nikhil R. Pal; Shrish Verma; Om Prakash Vyas (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Ontology-Based Multi-agent Smart Bike Sharing System (SBSS). - Ashish Singh Patel; Muneendra Ojha; Monika Rani; Abhinav Khare; O. P. Vyas 001; Ranjana Vyas (SMARTCOMP, 2018)

Maximum spanning tree based redundancy elimination for feature selection of high dimensional data. - Bharat Singh; Om Prakash Vyas (Int. Arab J. Inf. Technol., 2018)

A Lesson learned from PMF based approach for Semantic Recommender System. - Nidhi Kushwaha; Xudong Sun 002; Bharat Singh; O. P. Vyas 001 (J. Intell. Inf. Syst., 2018)

Toward a Trustless Smart City: the #SmartME Experience. - Abhinav Khare; Giovanni Merlino; Francesco Longo 001; Antonio Puliafito; Om Prakash Vyas (WETICE, 2019)

Distributed Grid restoration based on graph theory. - Ayush Sinha; Sourin Chakrabarti; O. P. Vyas 001 (CoRR, 2020)

Sequential Minimal Optimization for One-Class Slab Support Vector Machine. - Bagesh Kumar; Ayush Sinha; Sourin Chakrabarti; Aashutosh Khandelwal; Harsh Jain; O. P. Vyas 001 (CoRR, 2020)

Design of a Trustless Smart City system: The #SmartME experiment. - Abhinav Khare; Giovanni Merlino; Francesco Longo 001; Antonio Puliafito; Om Prakash Vyas (Internet Things, 2020)

Demand Response Optimization for Mircogrid Clusters with Deep Reinforcement Learning. - Ayush Sinha; Mrigyen Sawant; Harsh Kochar; Adarsh Abhija; Ritik Seth; Priyatam Reddy Sornagattu; O. P. Vyas 001 (ICCCNT, 2021)

A fast learning algorithm for One-Class Slab Support Vector Machines. - Bagesh Kumar; Ayush Sinha; Sourin Chakrabarti; O. P. Vyas 001 (Knowl. Based Syst., 2021)

Video representation and suspicious event detection using semantic technologies. - Ashish Singh Patel; Giovanni Merlino; Dario Bruneo; Antonio Puliafito; O. P. Vyas 001; Muneendra Ojha (Semantic Web, 2021)

NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains. - Kumar Saurabh; Tanuj Kumar; Uphar Singh; O. P. Vyas 001; Rahamatullah Khondoker (AIIoT, 2022)

LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks. - Kumar Saurabh; Saksham Sood; P. Aditya Kumar; Uphar Singh; Ranjana Vyas; O. P. Vyas 001; Rahamatullah Khondoker (AIIoT, 2022)

GANIBOT: A Network Flow Based Semi Supervised Generative Adversarial Networks Model for IoT Botnets Detection. - Kumar Saurabh; Ayush Singh; Uphar Singh; O. P. Vyas 001; Rahamatullah Khondoker (COINS, 2022)

An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVM. - Bagesh Kumar; Amritansh Mishra; Subham Raj; Aditya Kumar; Om Suhas Vibhandik; Aayush Talesara; Shubham Kumar; O. P. Vyas 001 (IC3, 2022)

Object Detection for Autonomous Vehicle in Hazy Environment using Optimized Deep Learning Techniques. - Bagesh Kumar; Amritansh Mishra; Aayush Talesara; Shubham Kumar; Sourav Dey; O. P. Vyas 001; Ranjana Vyas (IC3, 2022)

Optimized Forex Trading using Ensemble of Deep Q-Learning Agents. - Bagesh Kumar; Aadharsh Roshan; Ayush Baranwal; Sankalp Rajendran; Sahil Sharma; Amritansh Mishra; O. P. Vyas 001 (IC3, 2022)

Sample Reduction for Support Vector Data Description (SVDD) by Farthest Boundary Point Estimation (FBPE) using Gradients of Data Density. - Pratyush Pareek; Aaryan Bhardwaj; Sanskar Patro; Anirudh Arora; Muskan Deep Kaur Maini; Bagesh Kumar; O. P. Vyas 001 (IC3, 2022)

Biometric Iris Identifier Recognition with Privacy Preserving Phenomenon: A Federated Learning Approach. - Harshit Gupta; Tarun Kumar Rajput; Ranjana Vyas; O. P. Vyas 001; Antonio Puliafito (ICONIP (7), 2022)

Generating Textual Description Using Modified Beam Search. - Divyansh Rai; Arpit Agarwal; Bagesh Kumar; O. P. Vyas 001; Suhaib Khan; S. Shourya (ICONIP (5), 2022)

Commissioning Random Matrix Theory and Synthetic Minority Oversampling Technique for Power System Faults Detection and Classification. - Ayush Sinha; Shubham Dwivedi; Sandeep Kumar Shukla; O. P. Vyas 001 (ICONIP (7), 2022)

Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study. - Uphar Singh; Kumar Saurabh; Neelaksh Trehan; Ranjana Vyas; O. P. Vyas 001 (CoRR, 2022)

Agricultural Plantation Classification using Transfer Learning Approach based on CNN. - Uphar Singh; Tushar Musale; Ranjana Vyas; O. P. Vyas 001 (CoRR, 2022)

Insider attack mitigation in a smart metering infrastructure using reputation score and blockchain technology. - Jaya Singh; Ayush Sinha; Priyanka Goli; Venkatesan Subramanian 002; Sandeep Kumar Shukla; Om Prakash Vyas (Int. J. Inf. Sec., 2022)

A study on video semantics; overview, challenges, and applications. - Ashish Singh Patel; Ranjana Vyas; O. P. Vyas 001; Muneendra Ojha (Multim. Tools Appl., 2022)

Empirical Analysis of Federated Learning Algorithms: A Federated Research Infrastructure Use Case. - Harshit Gupta; Abhishek Verma; O. P. Vyas 001; Marco Garofalo; Giuseppe Tricomi; Francesco Longo 001; Giovanni Merlino; Antonio Puliafito (CLOSER, 2023)

Evaluating the Effectiveness of Multi-Filtering Techniques on Comprehensibility Improvement of Spaghetti Models. - Uphar Singh; Yash Hoskere; Nachiket Tapas; Ranjana Vyas; O. P. Vyas 001 (ICCCNT, 2023)

Fed-Trace: An Efficient Model to Traceback Data Poisoning Attacks in Federated Learning. - Harshit Gupta; Pratyush Pareek; Anirudh Arora; Muskan Deep Kaur Maini; Ramesh Kumar Bhukya; O. P. Vyas 001; Antonio Puliafito (ICCST, 2023)

Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process Mining. - Uphar Singh; Deepak Gajjala; Rahamatullah Khondoker; Harshit Gupta; Ayush Sinha; O. P. Vyas 001 (LION, 2023)

TMAP: A Threat Modeling and Attack Path Analysis Framework for Industrial IoT Systems (A Case Study of IoM and IoP). - Kumar Saurabh; Deepak Gajjala; Krishna Kaipa; Ranjana Vyas; O. P. Vyas 001; Rahamatullah Khondoker (CoRR, 2023)

An NLP-guided ontology development and refinement approach to represent and query visual information. - Ashish Singh Patel; Giovanni Merlino; Antonio Puliafito; Ranjana Vyas; O. P. Vyas 001; Muneendra Ojha; Vivek Tiwari (Expert Syst. Appl., 2023)

Motion-compensated online object tracking for activity detection and crowd behavior analysis. - Ashish Singh Patel; Ranjana Vyas; O. P. Vyas 001; Muneendra Ojha; Vivek Tiwari (Vis. Comput., 2023)

From Chaos to Clarity: An Object-Centric Process Mining Case Study in Complaint Requisition Management System. - Anukriti Tripathi; Ayush Raj; Himanshu Singla; Rohini Nandan; Ranjana Vyas; O. P. Vyas 001 (BPM (Demos / Resources Forum), 2024)

Exploring Object Centric Process Mining with MIMIC IV: Unlocking Insights in Healthcare. - Anukriti Tripathi; Aneesh; Yuvraj Shivam; Swetank Pandey; Aamod Vyas; O. P. Vyas 001 (CAiSE Workshops, 2024)

Improving Heart Disease Prediction: Insights from Federated Deep Learning. - Harshit Gupta; Akash Bhardwaj; Md. Shaheer Rafeeq; Anand Choudhary; Indrajeet Garse; O. P. Vyas 001; Antonio Puliafito (ICCCNT, 2024)

Achieving Grid Resilience and Stability with Horizontal Federated Learning Based Energy Demand Forecasting. - Harshit Gupta; Kaushik Nath 003; Ayush Sinha; O. P. Vyas 001; Antonio Puliafito (ICCCNT, 2024)

Enhancing Industrial IoT Intrusion Detection with Hyperparameter Optimization. - Pranav Sahu; O. P. Vyas 001; Rishita Barnwal; Ayushi Singla; Priyanshu (ICCCNT, 2024)

SGridNet: An Efficient and Optimize Bagging Deep Learning for Intrusion Detection in Smart Grid Networks. - Pranav Sahu; O. P. Vyas 001; Ranjana Vyas (ICCCNT, 2024)

Optimizing Hyperparameters of Deep Learning Models for Stock Price Prediction. - Uphar Singh; Sanghmitra Tamrakar; Kumar Saurabh; Ranjana Vyas; O. P. Vyas 001 (ICCCNT, 2024)

Machine Learning Vulnerabilities at the Edge: A Study of Multi-stage Gray-box Attacks*. - Ayush Sinha; Ishan Shrivastava; Nachiket Tapas; O. P. Vyas 001 (ICCCNT, 2024)

Enhancing Object-Centric Process Model with Flattening Technique. - Anukriti Tripathi; Radhika Kedia; O. P. Vyas 001 (ICCCNT, 2024)

Distributed hyperparameter optimization based multivariate time series forecasting. - Tinku Singh; Ayush Sinha; Satakshi Singh; O. P. Vyas 001; Manish Kumar 001 (Multim. Tools Appl., 2024)

Federated learning across the compute continuum: A hierarchical approach with splitNNs and personalized layers. - Harshit Gupta; Arya Krishnan; O. P. Vyas 001; Giovanni Merlino; Francesco Longo 001; Antonio Puliafito (Future Gener. Comput. Syst., 2025)