O. P. Vyas

Orcid: 0000-0001-5014-8837

Affiliations:
  • Indian Institute of Information Technology-Allahabad, Department of Information Technology, India


According to our database1, O. P. Vyas authored at least 79 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Distributed hyperparameter optimization based multivariate time series forecasting.
Multim. Tools Appl., January, 2024

Exploring Object Centric Process Mining with MIMIC IV: Unlocking Insights in Healthcare.
Proceedings of the Advanced Information Systems Engineering Workshops, 2024

From Chaos to Clarity: An Object-Centric Process Mining Case Study in Complaint Requisition Management System.
Proceedings of the Best Dissertation Award, 2024

2023
Motion-compensated online object tracking for activity detection and crowd behavior analysis.
Vis. Comput., May, 2023

An NLP-guided ontology development and refinement approach to represent and query visual information.
Expert Syst. Appl., 2023

TMAP: A Threat Modeling and Attack Path Analysis Framework for Industrial IoT Systems (A Case Study of IoM and IoP).
CoRR, 2023

Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process Mining.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Fed-Trace: An Efficient Model to Traceback Data Poisoning Attacks in Federated Learning.
Proceedings of the IEEE International Carnahan Conference on Security Technology, 2023

Evaluating the Effectiveness of Multi-Filtering Techniques on Comprehensibility Improvement of Spaghetti Models.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Empirical Analysis of Federated Learning Algorithms: A Federated Research Infrastructure Use Case.
Proceedings of the 13th International Conference on Cloud Computing and Services Science, 2023

2022
A study on video semantics; overview, challenges, and applications.
Multim. Tools Appl., 2022

Insider attack mitigation in a smart metering infrastructure using reputation score and blockchain technology.
Int. J. Inf. Sec., 2022

Agricultural Plantation Classification using Transfer Learning Approach based on CNN.
CoRR, 2022

Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study.
CoRR, 2022

Commissioning Random Matrix Theory and Synthetic Minority Oversampling Technique for Power System Faults Detection and Classification.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Generating Textual Description Using Modified Beam Search.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Biometric Iris Identifier Recognition with Privacy Preserving Phenomenon: A Federated Learning Approach.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Sample Reduction for Support Vector Data Description (SVDD) by Farthest Boundary Point Estimation (FBPE) using Gradients of Data Density.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

Optimized Forex Trading using Ensemble of Deep Q-Learning Agents.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

Object Detection for Autonomous Vehicle in Hazy Environment using Optimized Deep Learning Techniques.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVM.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

GANIBOT: A Network Flow Based Semi Supervised Generative Adversarial Networks Model for IoT Botnets Detection.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks.
Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains.
Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

2021
Video representation and suspicious event detection using semantic technologies.
Semantic Web, 2021

A fast learning algorithm for One-Class Slab Support Vector Machines.
Knowl. Based Syst., 2021

Demand Response Optimization for Mircogrid Clusters with Deep Reinforcement Learning.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2020
Design of a Trustless Smart City system: The #SmartME experiment.
Internet Things, 2020

Sequential Minimal Optimization for One-Class Slab Support Vector Machine.
CoRR, 2020

Distributed Grid restoration based on graph theory.
CoRR, 2020

2019
Toward a Trustless Smart City: the #SmartME Experience.
Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019

2018
A Lesson learned from PMF based approach for Semantic Recommender System.
J. Intell. Inf. Syst., 2018

Maximum spanning tree based redundancy elimination for feature selection of high dimensional data.
Int. Arab J. Inf. Technol., 2018

Ontology-Based Multi-agent Smart Bike Sharing System (SBSS).
Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

2017
Fuzzy Rule-Based Approach for Software Fault Prediction.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Augmented intuitive dissimilarity metric for clustering of Web user sessions.
J. Inf. Sci., 2017

Semi-automatic terminology ontology learning based on topic modeling.
Eng. Appl. Artif. Intell., 2017

A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering.
CoRR, 2017

Smart Bike Sharing System to make the City even Smarter.
CoRR, 2017

Ontology-based Classification and Analysis of non- emergency Smart-city Events.
CoRR, 2017

IoT deployment for smarter cities with special reference to mobility.
Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017

Providing Sensor Services by Data Correlation: The #SmartME Approach.
Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2017

2016
Investigation of security issues for service-oriented network architecture.
Secur. Commun. Networks, 2016

A PSO Based Approach for Producing Optimized Latent Factor in Special Reference to Big Data.
Int. J. Serv. Sci. Manag. Eng. Technol., 2016

An ontological learning management system.
Comput. Appl. Eng. Educ., 2016

A Discounted Fuzzy Relational Clustering of Web Users' Using Intuitive Augmented Sessions Dissimilarity Metric.
IEEE Access, 2016

Towards an Ontology development for automated applications in Smart City environment of SmartME Project.
Proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools, 2016

SemPMF: Semantic Inclusion by Probabilistic Matrix Factorization for Recommender System.
Proceedings of the Trends in Practical Applications of Scalable Multi-Agent Systems, 2016

Blended e-Learning Training (BeLT): Enhancing Railway Station Controller Knowledge.
ICTCS, 2016

2015
An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage.
Knowl. Based Syst., 2015

Understanding and mitigating security and authentication issues in service oriented network architecture.
Int. J. Secur. Networks, 2015

Information theoretic approach for cold start users with diversity improvement technique for semantic recommender system.
Int. J. Metadata Semant. Ontologies, 2015

Exploration of access control mechanisms for service-oriented network architecture.
Int. J. Internet Protoc. Technol., 2015

Service-oriented network architecture: significant issues and principles of communication.
Int. J. Comput. Sci. Eng., 2015

SemTopMF - Prediction Recomendation by Semantic Topics Through Matrix Factorization Approach.
Proceedings of the WEBIST 2015, 2015

2014
Flexible Service Oriented Network Architecture for Wireless Sensor Networks.
Int. J. Comput. Commun. Control, 2014

Leveraging Bibliographic RDF Data for Keyword Prediction with Association Rule Mining (ARM).
Data Sci. J., 2014

A Meta-Heuristic Regression-Based Feature Selection for Predictive Analytics.
Data Sci. J., 2014

SemMovieRec: extraction of semantic features of DBpedia for recommender system.
Proceedings of the 7th ACM India Computing Conference, 2014

2013
Building Weighted Associative Classifiers using Maximum Likelihood Estimation to Improve Prediction Accuracy in Health Care Data Mining.
J. Inf. Knowl. Manag., 2013

A Framework of Service Selection and Composition for Flexible Network Architecture.
Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Networks, 2013

2012
CSHURI - Modified HURI algorithm for Customer Segmentation and Transaction Profitability
CoRR, 2012

Recent frequent itemsets mining over data streams.
Proceedings of the Second International Conference on Computational Science, 2012

HURI - A Novel Algorithm for Mining High Utility Rare Itemsets.
Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012

2011
An Exploratory Study of Experimental Tools for Wireless Sensor Networks.
Wirel. Sens. Netw., 2011

LiDDM: A Data Mining System for Linked Data.
Proceedings of the WWW2011 Workshop on Linked Data on the Web, 2011

2010
Nearest Neighbour Classification for Trajectory Data.
Proceedings of the Information and Communication Technologies - International Conference, 2010

Investigation on Effectiveness of Simulation Results for Wireless Sensor Networks.
Proceedings of the Information Processing and Management, 2010

2009
Evaluation of Varrying Mobility Models & Network Loads on DSDV Protocol of MANETs
CoRR, 2009

An Associative Classifier using Weighted Association Rule.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

2008
Efficient clustering technique for regionalisation of a spatial database.
Int. J. Bus. Intell. Data Min., 2008

A Survey of Sensor Network and Related Routing Protocols.
Proceedings of the ICSOFT 2008, 2008

Associative Classifiers for Predictive Analytics: Comparative Performance Study.
Proceedings of the EMS 2008, 2008

An Overview of Routing Protocols of Sensor Networks.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

A Survey of Simulation in Sensor Networks.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2005
Efficient calendar based temporal association rule.
SIGMOD Rec., 2005

Temporal Approach to Association Rule Mining Using T-Tree and P-Tree.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

2004
Path Stability Based Adaptation of MANET Routing Protocols.
Proceedings of the Distributed Computing, 2004


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