O. P. Vyas

78 papers B 1C 3Misc 1Journal 35Unranked 38
YearRankTypeTitle / Venue / Authors
2025 J jnl
Federated learning across the compute continuum: A hierarchical approach with splitNNs and personalized layers.
Future Gener. Comput. Syst.
Harshit Gupta, Arya Krishnan, O. P. Vyas, Giovanni Merlino, Francesco Longo, Antonio Puliafito
2024 — conf
Achieving Grid Resilience and Stability with Horizontal Federated Learning Based Energy Demand Forecasting.
ICCCNT
Harshit Gupta, Kaushik Nath, Ayush Sinha, O. P. Vyas, Antonio Puliafito
2024 J jnl
Distributed hyperparameter optimization based multivariate time series forecasting.
Multim. Tools Appl.
Tinku Singh, Ayush Sinha, Satakshi Singh, O. P. Vyas, Manish Kumar
2024 — conf
Enhancing Industrial IoT Intrusion Detection with Hyperparameter Optimization.
ICCCNT
Pranav Sahu, O. P. Vyas, Rishita Barnwal, Ayushi Singla, Priyanshu
2024 — conf
Enhancing Object-Centric Process Model with Flattening Technique.
ICCCNT
Anukriti Tripathi, Radhika Kedia, O. P. Vyas
2024 — conf
Exploring Object Centric Process Mining with MIMIC IV: Unlocking Insights in Healthcare.
CAiSE Workshops
Anukriti Tripathi, Aneesh, Yuvraj Shivam, Swetank Pandey, Aamod Vyas, O. P. Vyas
2024 — conf
From Chaos to Clarity: An Object-Centric Process Mining Case Study in Complaint Requisition Management System.
BPM (Demos / Resources Forum)
Anukriti Tripathi, Ayush Raj, Himanshu Singla, Rohini Nandan, Ranjana Vyas, O. P. Vyas
2024 — conf
Improving Heart Disease Prediction: Insights from Federated Deep Learning.
ICCCNT
Harshit Gupta, Akash Bhardwaj, Md. Shaheer Rafeeq, Anand Choudhary, Indrajeet Garse, O. P. Vyas, Antonio Puliafito
2024 — conf
Machine Learning Vulnerabilities at the Edge: A Study of Multi-stage Gray-box Attacks
ICCCNT
Ayush Sinha, Ishan Shrivastava, Nachiket Tapas, O. P. Vyas
2024 — conf
Optimizing Hyperparameters of Deep Learning Models for Stock Price Prediction.
ICCCNT
Uphar Singh, Sanghmitra Tamrakar, Kumar Saurabh, Ranjana Vyas, O. P. Vyas
2024 — conf
SGridNet: An Efficient and Optimize Bagging Deep Learning for Intrusion Detection in Smart Grid Networks.
ICCCNT
Pranav Sahu, O. P. Vyas, Ranjana Vyas
2023 J jnl
An NLP-guided ontology development and refinement approach to represent and query visual information.
Expert Syst. Appl.
Ashish Singh Patel, Giovanni Merlino, Antonio Puliafito, Ranjana Vyas, O. P. Vyas, Muneendra Ojha, Vivek Tiwari
2023 — conf
Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process Mining.
LION
Uphar Singh, Deepak Gajjala, Rahamatullah Khondoker, Harshit Gupta, Ayush Sinha, O. P. Vyas
2023 C conf
Empirical Analysis of Federated Learning Algorithms: A Federated Research Infrastructure Use Case.
CLOSER
Harshit Gupta, Abhishek Verma, O. P. Vyas, Marco Garofalo, Giuseppe Tricomi, Francesco Longo, Giovanni Merlino, Antonio Puliafito
2023 — conf
Evaluating the Effectiveness of Multi-Filtering Techniques on Comprehensibility Improvement of Spaghetti Models.
ICCCNT
Uphar Singh, Yash Hoskere, Nachiket Tapas, Ranjana Vyas, O. P. Vyas
2023 — conf
Fed-Trace: An Efficient Model to Traceback Data Poisoning Attacks in Federated Learning.
ICCST
Harshit Gupta, Pratyush Pareek, Anirudh Arora, Muskan Deep Kaur Maini, Ramesh Kumar Bhukya, O. P. Vyas, Antonio Puliafito
2023 J jnl
Motion-compensated online object tracking for activity detection and crowd behavior analysis.
Vis. Comput.
Ashish Singh Patel, Ranjana Vyas, O. P. Vyas, Muneendra Ojha, Vivek Tiwari
2023 J jnl
TMAP: A Threat Modeling and Attack Path Analysis Framework for Industrial IoT Systems (A Case Study of IoM and IoP).
CoRR
Kumar Saurabh, Deepak Gajjala, Krishna Kaipa, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker
2022 J jnl
A study on video semantics; overview, challenges, and applications.
Multim. Tools Appl.
Ashish Singh Patel, Ranjana Vyas, O. P. Vyas, Muneendra Ojha
2022 J jnl
Agricultural Plantation Classification using Transfer Learning Approach based on CNN.
CoRR
Uphar Singh, Tushar Musale, Ranjana Vyas, O. P. Vyas
2022 — conf
An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVM.
IC3
Bagesh Kumar, Amritansh Mishra, Subham Raj, Aditya Kumar, Om Suhas Vibhandik, Aayush Talesara, Shubham Kumar, O. P. Vyas
2022 — conf
Biometric Iris Identifier Recognition with Privacy Preserving Phenomenon: A Federated Learning Approach.
ICONIP (7)
Harshit Gupta, Tarun Kumar Rajput, Ranjana Vyas, O. P. Vyas, Antonio Puliafito
2022 — conf
Commissioning Random Matrix Theory and Synthetic Minority Oversampling Technique for Power System Faults Detection and Classification.
ICONIP (7)
Ayush Sinha, Shubham Dwivedi, Sandeep Kumar Shukla, O. P. Vyas
2022 — conf
GANIBOT: A Network Flow Based Semi Supervised Generative Adversarial Networks Model for IoT Botnets Detection.
COINS
Kumar Saurabh, Ayush Singh, Uphar Singh, O. P. Vyas, Rahamatullah Khondoker
2022 — conf
Generating Textual Description Using Modified Beam Search.
ICONIP (5)
Divyansh Rai, Arpit Agarwal, Bagesh Kumar, O. P. Vyas, Suhaib Khan, S. Shourya
2022 — conf
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks.
AIIoT
Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker
2022 J jnl
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks.
CoRR
Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker
2022 — conf
NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains.
AIIoT
Kumar Saurabh, Tanuj Kumar, Uphar Singh, O. P. Vyas, Rahamatullah Khondoker
2022 J jnl
NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains.
CoRR
Kumar Saurabh, Tanuj Kumar, Uphar Singh, O. P. Vyas, Rahamatullah Khondoker
2022 — conf
Object Detection for Autonomous Vehicle in Hazy Environment using Optimized Deep Learning Techniques.
IC3
Bagesh Kumar, Amritansh Mishra, Aayush Talesara, Shubham Kumar, Sourav Dey, O. P. Vyas, Ranjana Vyas
2022 — conf
Optimized Forex Trading using Ensemble of Deep Q-Learning Agents.
IC3
Bagesh Kumar, Aadharsh Roshan, Ayush Baranwal, Sankalp Rajendran, Sahil Sharma, Amritansh Mishra, O. P. Vyas
2022 — conf
Sample Reduction for Support Vector Data Description (SVDD) by Farthest Boundary Point Estimation (FBPE) using Gradients of Data Density.
IC3
Pratyush Pareek, Aaryan Bhardwaj, Sanskar Patro, Anirudh Arora, Muskan Deep Kaur Maini, Bagesh Kumar, O. P. Vyas
2022 J jnl
Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study.
CoRR
Uphar Singh, Kumar Saurabh, Neelaksh Trehan, Ranjana Vyas, O. P. Vyas
2021 — conf
A Methodological Review of Time Series Forecasting with Deep Learning Model: A Case Study on Electricity Load and Price Prediction.
MIND
Ayush Sinha, Tinku Singh, Ranjana Vyas, Manish Kumar, O. P. Vyas
2021 J jnl
A fast learning algorithm for One-Class Slab Support Vector Machines.
Knowl. Based Syst.
Bagesh Kumar, Ayush Sinha, Sourin Chakrabarti, O. P. Vyas
2021 — conf
Classification of Indoor-Outdoor Scene Using Deep Learning Techniques.
MIND
Bagesh Kumar, Harshit Gupta, Shriyash Pravin Ingale, O. P. Vyas
2021 — conf
Demand Response Optimization for Mircogrid Clusters with Deep Reinforcement Learning.
ICCCNT
Ayush Sinha, Mrigyen Sawant, Harsh Kochar, Adarsh Abhija, Ritik Seth, Priyatam Reddy Sornagattu, O. P. Vyas
2021 J jnl
Video representation and suspicious event detection using semantic technologies.
Semantic Web
Ashish Singh Patel, Giovanni Merlino, Dario Bruneo, Antonio Puliafito, O. P. Vyas, Muneendra Ojha
2020 J jnl
Distributed Grid restoration based on graph theory.
CoRR
Ayush Sinha, Sourin Chakrabarti, O. P. Vyas
2020 J jnl
Sequential Minimal Optimization for One-Class Slab Support Vector Machine.
CoRR
Bagesh Kumar, Ayush Sinha, Sourin Chakrabarti, Aashutosh Khandelwal, Harsh Jain, O. P. Vyas
2018 J jnl
A Lesson learned from PMF based approach for Semantic Recommender System.
J. Intell. Inf. Syst.
Nidhi Kushwaha, Xudong Sun, Bharat Singh, O. P. Vyas
2018 B conf
Ontology-Based Multi-agent Smart Bike Sharing System (SBSS).
SMARTCOMP
Ashish Singh Patel, Muneendra Ojha, Monika Rani, Abhinav Khare, O. P. Vyas, Ranjana Vyas
2017 J jnl
A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering.
CoRR
Monika Rani, Maybin K. Muyeba, O. P. Vyas
2017 J jnl
An Ontological Learning Management System.
CoRR
Monika Rani, Kumar Vaibhav Srivastava, O. P. Vyas
2017 J jnl
An Ontology-based Adaptive Personalized E-learning System, Assisted by Software Agents on Cloud Storage.
CoRR
Monika Rani, Riju Nayak, O. P. Vyas
2017 J jnl
Blended e-Learning Training (BeLT): Enhancing Railway Station Controller Knowledge.
CoRR
Aditya Khamparia, Monika Rani, Babita Pandey, O. P. Vyas
2017 — conf
IoT deployment for smarter cities with special reference to mobility.
ICC
Nachiket Tapas, O. P. Vyas
2017 J jnl
Ontology-based Classification and Analysis of non- emergency Smart-city Events.
CoRR
Monika Rani, Sanchit Alekh, Aditya Bhardwaj, Abhinav Gupta, O. P. Vyas
2017 Misc conf
Providing Sensor Services by Data Correlation: The #SmartME Approach.
CISIS
Nidhi Kushwaha, Giovanni Merlino, Francesco Longo, Dario Bruneo, Antonio Puliafito, O. P. Vyas
2017 J jnl
Semi-Automatic Terminology Ontology Learning Based on Topic Modeling.
CoRR
Monika Rani, Amit Kumar Dhar, O. P. Vyas
2017 J jnl
Semi-automatic terminology ontology learning based on topic modeling.
Eng. Appl. Artif. Intell.
Monika Rani, Amit Kumar Dhar, O. P. Vyas
2017 J jnl
Smart Bike Sharing System to make the City even Smarter.
CoRR
Monika Rani, O. P. Vyas
2016 — conf
Blended e-Learning Training (BeLT): Enhancing Railway Station Controller Knowledge.
ICTCS
Aditya Khamparia, Monika Rani, Babita Pandey, O. P. Vyas
2016 — conf
SemPMF: Semantic Inclusion by Probabilistic Matrix Factorization for Recommender System.
PAAMS (Special Sessions)
Nidhi Kushwaha, Xudong Sun, O. P. Vyas, Artus Krohn-Grimberghe
2015 J jnl
An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage.
Knowl. Based Syst.
Monika Rani, Riju Nayak, O. P. Vyas
2015 J jnl
Exploration of access control mechanisms for service-oriented network architecture.
Int. J. Internet Protoc. Technol.
Bhawana Rudra, O. P. Vyas
2015 J jnl
Information theoretic approach for cold start users with diversity improvement technique for semantic recommender system.
Int. J. Metadata Semant. Ontologies
Nidhi Kushwaha, O. P. Vyas
2015 C conf
SemTopMF - Prediction Recomendation by Semantic Topics Through Matrix Factorization Approach.
WEBIST
Nidhi Kushwaha, O. P. Vyas
2015 J jnl
Service-oriented network architecture: significant issues and principles of communication.
Int. J. Comput. Sci. Eng.
Bhawana Rudra, A. P. Manu, O. P. Vyas
2015 J jnl
Understanding and mitigating security and authentication issues in service oriented network architecture.
Int. J. Secur. Networks
Bhawana Rudra, O. P. Vyas
2014 J jnl
A Meta-Heuristic Regression-Based Feature Selection for Predictive Analytics.
Data Sci. J.
Bharat Singh, O. P. Vyas
2014 J jnl
Flexible Service Oriented Network Architecture for Wireless Sensor Networks.
Int. J. Comput. Commun. Control
Akhilendra Pratap Singh, O. P. Vyas, Shirshu Varma
2014 J jnl
Leveraging Bibliographic RDF Data for Keyword Prediction with Association Rule Mining (ARM).
Data Sci. J.
Nidhi Kushwaha, O. P. Vyas
2014 — conf
SemMovieRec: extraction of semantic features of DBpedia for recommender system.
COMPUTE
Nidhi Kushwaha, O. P. Vyas
2013 C conf
A Framework of Service Selection and Composition for Flexible Network Architecture.
QSHINE
Akhilendra Pratap Singh, O. P. Vyas, Shirshu Varma
2013 J jnl
Building Weighted Associative Classifiers using Maximum Likelihood Estimation to Improve Prediction Accuracy in Health Care Data Mining.
J. Inf. Knowl. Manag.
Sunitha Soni, O. P. Vyas
2012 J jnl
CSHURI - Modified HURI algorithm for Customer Segmentation and Transaction Profitability
CoRR
Jyothi Pillai, O. P. Vyas
2012 — conf
HURI - A Novel Algorithm for Mining High Utility Rare Itemsets.
ACITY (2)
Jyothi Pillai, O. P. Vyas, Maybin K. Muyeba
2012 — conf
Recent frequent itemsets mining over data streams.
CCSEIT
S. Pramod, O. P. Vyas
2011 J jnl
An Exploratory Study of Experimental Tools for Wireless Sensor Networks.
Wirel. Sens. Netw.
A. K. Dwivedi, O. P. Vyas
2011 — conf
LiDDM: A Data Mining System for Linked Data.
LDOW
Venkata Narasimha Pavan Kappara, Ryutaro Ichise, O. P. Vyas
2010 — conf
Investigation on Effectiveness of Simulation Results for Wireless Sensor Networks.
BAIP
A. K. Dwivedi, V. K. Patle, O. P. Vyas
2009 — conf
An Associative Classifier using Weighted Association Rule.
NaBIC
Sunitha Soni, Jyothi Pillai, O. P. Vyas
2009 J jnl
Evaluation of Varrying Mobility Models & Network Loads on DSDV Protocol of MANETs
CoRR
C. P. Agrawal, O. P. Vyas, Manoj Kumar Tiwari
2008 — conf
A Survey of Sensor Network and Related Routing Protocols.
ICSOFT (PL/DPS/KE)
O. P. Vyas, M. K. Tiwari, Chandresh Pratap Singh
2008 — conf
A Survey of Simulation in Sensor Networks.
CIMCA/IAWTIC/ISE
Chandresh Pratap Singh, O. P. Vyas, Manoj Kumar Tiwari
2008 — conf
An Overview of Routing Protocols of Sensor Networks.
CIMCA/IAWTIC/ISE
Chandresh Pratap Singh, O. P. Vyas, Manoj Kumar Tiwari
2004 — conf
Path Stability Based Adaptation of MANET Routing Protocols.
IWDC
Sandeep Choudhary, M. M. Gore, O. P. Vyas