O. P. Vyas

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 49

Top Topics

Network Architecture

Top Venues

Publications

Tinku Singh, Ayush Sinha, Satakshi Singh, O. P. Vyas, Manish Kumar
Distributed hyperparameter optimization based multivariate time series forecasting. Multim. Tools Appl. 83 (2) (2024)
Anukriti Tripathi, Aneesh, Yuvraj Shivam, Swetank Pandey, Aamod Vyas, O. P. Vyas
Exploring Object Centric Process Mining with MIMIC IV: Unlocking Insights in Healthcare. CAiSE Workshops (2024)
Kumar Saurabh, Deepak Gajjala, Krishna Kaipa, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker
TMAP: A Threat Modeling and Attack Path Analysis Framework for Industrial IoT Systems (A Case Study of IoM and IoP). CoRR (2023)
Harshit Gupta, Pratyush Pareek, Anirudh Arora, Muskan Deep Kaur Maini, Ramesh Kumar Bhukya, O. P. Vyas, Antonio Puliafito
Fed-Trace: An Efficient Model to Traceback Data Poisoning Attacks in Federated Learning. ICCST (2023)
Harshit Gupta, Abhishek Verma, O. P. Vyas, Marco Garofalo, Giuseppe Tricomi, Francesco Longo, Giovanni Merlino, Antonio Puliafito
Empirical Analysis of Federated Learning Algorithms: A Federated Research Infrastructure Use Case. CLOSER (2023)
Uphar Singh, Deepak Gajjala, Rahamatullah Khondoker, Harshit Gupta, Ayush Sinha, O. P. Vyas
Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process Mining. LION (2023)
Ashish Singh Patel, Giovanni Merlino, Antonio Puliafito, Ranjana Vyas, O. P. Vyas, Muneendra Ojha, Vivek Tiwari
An NLP-guided ontology development and refinement approach to represent and query visual information. Expert Syst. Appl. 213 (Part) (2023)
Uphar Singh, Yash Hoskere, Nachiket Tapas, Ranjana Vyas, O. P. Vyas
Evaluating the Effectiveness of Multi-Filtering Techniques on Comprehensibility Improvement of Spaghetti Models. ICCCNT (2023)
Ashish Singh Patel, Ranjana Vyas, O. P. Vyas, Muneendra Ojha, Vivek Tiwari
Motion-compensated online object tracking for activity detection and crowd behavior analysis. Vis. Comput. 39 (5) (2023)
Bagesh Kumar, Amritansh Mishra, Subham Raj, Aditya Kumar, Om Suhas Vibhandik, Aayush Talesara, Shubham Kumar, O. P. Vyas
An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVM. IC3 (2022)
Harshit Gupta, Tarun Kumar Rajput, Ranjana Vyas, O. P. Vyas, Antonio Puliafito
Biometric Iris Identifier Recognition with Privacy Preserving Phenomenon: A Federated Learning Approach. ICONIP (7) (2022)
Kumar Saurabh, Tanuj Kumar, Uphar Singh, O. P. Vyas, Rahamatullah Khondoker
NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains. CoRR (2022)
Ayush Sinha, Shubham Dwivedi, Sandeep Kumar Shukla, O. P. Vyas
Commissioning Random Matrix Theory and Synthetic Minority Oversampling Technique for Power System Faults Detection and Classification. ICONIP (7) (2022)
Kumar Saurabh, Ayush Singh, Uphar Singh, O. P. Vyas, Rahamatullah Khondoker
GANIBOT: A Network Flow Based Semi Supervised Generative Adversarial Networks Model for IoT Botnets Detection. COINS (2022)
Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks. CoRR (2022)
Divyansh Rai, Arpit Agarwal, Bagesh Kumar, O. P. Vyas, Suhaib Khan, S. Shourya
Generating Textual Description Using Modified Beam Search. ICONIP (5) (2022)
Pratyush Pareek, Aaryan Bhardwaj, Sanskar Patro, Anirudh Arora, Muskan Deep Kaur Maini, Bagesh Kumar, O. P. Vyas
Sample Reduction for Support Vector Data Description (SVDD) by Farthest Boundary Point Estimation (FBPE) using Gradients of Data Density. IC3 (2022)
Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks. AIIoT (2022)
Uphar Singh, Kumar Saurabh, Neelaksh Trehan, Ranjana Vyas, O. P. Vyas
Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study. CoRR (2022)
Bagesh Kumar, Amritansh Mishra, Aayush Talesara, Shubham Kumar, Sourav Dey, O. P. Vyas, Ranjana Vyas
Object Detection for Autonomous Vehicle in Hazy Environment using Optimized Deep Learning Techniques. IC3 (2022)
Bagesh Kumar, Aadharsh Roshan, Ayush Baranwal, Sankalp Rajendran, Sahil Sharma, Amritansh Mishra, O. P. Vyas
Optimized Forex Trading using Ensemble of Deep Q-Learning Agents. IC3 (2022)
Uphar Singh, Tushar Musale, Ranjana Vyas, O. P. Vyas
Agricultural Plantation Classification using Transfer Learning Approach based on CNN. CoRR (2022)
Kumar Saurabh, Tanuj Kumar, Uphar Singh, O. P. Vyas, Rahamatullah Khondoker
NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains. AIIoT (2022)
Ashish Singh Patel, Ranjana Vyas, O. P. Vyas, Muneendra Ojha
A study on video semantics; overview, challenges, and applications. Multim. Tools Appl. 81 (5) (2022)
Ashish Singh Patel, Giovanni Merlino, Dario Bruneo, Antonio Puliafito, O. P. Vyas, Muneendra Ojha
Video representation and suspicious event detection using semantic technologies. Semantic Web 12 (3) (2021)
Bagesh Kumar, Ayush Sinha, Sourin Chakrabarti, O. P. Vyas
A fast learning algorithm for One-Class Slab Support Vector Machines. Knowl. Based Syst. 228 (2021)
Ayush Sinha, Mrigyen Sawant, Harsh Kochar, Adarsh Abhija, Ritik Seth, Priyatam Reddy Sornagattu, O. P. Vyas
Demand Response Optimization for Mircogrid Clusters with Deep Reinforcement Learning. ICCCNT (2021)
Ayush Sinha, Sourin Chakrabarti, O. P. Vyas
Distributed Grid restoration based on graph theory. CoRR (2020)
Bagesh Kumar, Ayush Sinha, Sourin Chakrabarti, Aashutosh Khandelwal, Harsh Jain, O. P. Vyas
Sequential Minimal Optimization for One-Class Slab Support Vector Machine. CoRR (2020)
Nidhi Kushwaha, Xudong Sun, Bharat Singh, O. P. Vyas
A Lesson learned from PMF based approach for Semantic Recommender System. J. Intell. Inf. Syst. 50 (3) (2018)
Ashish Singh Patel, Muneendra Ojha, Monika Rani, Abhinav Khare, O. P. Vyas, Ranjana Vyas
Ontology-Based Multi-agent Smart Bike Sharing System (SBSS). SMARTCOMP (2018)
Monika Rani, Maybin K. Muyeba, O. P. Vyas
A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering. CoRR (2017)
Monika Rani, Amit Kumar Dhar, O. P. Vyas
Semi-automatic terminology ontology learning based on topic modeling. Eng. Appl. Artif. Intell. 63 (2017)
Monika Rani, Kumar Vaibhav Srivastava, O. P. Vyas
An Ontological Learning Management System. CoRR (2017)
Nidhi Kushwaha, Giovanni Merlino, Francesco Longo, Dario Bruneo, Antonio Puliafito, O. P. Vyas
Providing Sensor Services by Data Correlation: The #SmartME Approach. CISIS (2017)
Monika Rani, O. P. Vyas
Smart Bike Sharing System to make the City even Smarter. CoRR (2017)
Monika Rani, Amit Kumar Dhar, O. P. Vyas
Semi-Automatic Terminology Ontology Learning Based on Topic Modeling. CoRR (2017)
Monika Rani, Riju Nayak, O. P. Vyas
An Ontology-based Adaptive Personalized E-learning System, Assisted by Software Agents on Cloud Storage. CoRR (2017)
Monika Rani, Sanchit Alekh, Aditya Bhardwaj, Abhinav Gupta, O. P. Vyas
Ontology-based Classification and Analysis of non- emergency Smart-city Events. CoRR (2017)
Aditya Khamparia, Monika Rani, Babita Pandey, O. P. Vyas
Blended e-Learning Training (BeLT): Enhancing Railway Station Controller Knowledge. CoRR (2017)
Nachiket Tapas, O. P. Vyas
IoT deployment for smarter cities with special reference to mobility. ICC (2017)
Nidhi Kushwaha, Xudong Sun, O. P. Vyas, Artus Krohn-Grimberghe
SemPMF: Semantic Inclusion by Probabilistic Matrix Factorization for Recommender System. PAAMS (Special Sessions) (2016)
Aditya Khamparia, Monika Rani, Babita Pandey, O. P. Vyas
Blended e-Learning Training (BeLT): Enhancing Railway Station Controller Knowledge. ICTCS (2016)
Bhawana Rudra, O. P. Vyas
Understanding and mitigating security and authentication issues in service oriented network architecture. Int. J. Secur. Networks 10 (1) (2015)
Bhawana Rudra, O. P. Vyas
Exploration of access control mechanisms for service-oriented network architecture. Int. J. Internet Protoc. Technol. 9 (1) (2015)
Monika Rani, Riju Nayak, O. P. Vyas
An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage. Knowl. Based Syst. 90 (2015)
Nidhi Kushwaha, O. P. Vyas
SemTopMF - Prediction Recomendation by Semantic Topics Through Matrix Factorization Approach. WEBIST (2015)
Nidhi Kushwaha, O. P. Vyas
Information theoretic approach for cold start users with diversity improvement technique for semantic recommender system. Int. J. Metadata Semant. Ontologies 10 (4) (2015)
Bhawana Rudra, A. P. Manu, O. P. Vyas
Service-oriented network architecture: significant issues and principles of communication. Int. J. Comput. Sci. Eng. 10 (3) (2015)
Akhilendra Pratap Singh, O. P. Vyas, Shirshu Varma
Flexible Service Oriented Network Architecture for Wireless Sensor Networks. Int. J. Comput. Commun. Control 9 (5) (2014)
Nidhi Kushwaha, O. P. Vyas
SemMovieRec: extraction of semantic features of DBpedia for recommender system. COMPUTE (2014)
Nidhi Kushwaha, O. P. Vyas
Leveraging Bibliographic RDF Data for Keyword Prediction with Association Rule Mining (ARM). Data Sci. J. 13 (2014)
Bharat Singh, O. P. Vyas
A Meta-Heuristic Regression-Based Feature Selection for Predictive Analytics. Data Sci. J. 13 (2014)
Akhilendra Pratap Singh, O. P. Vyas, Shirshu Varma
A Framework of Service Selection and Composition for Flexible Network Architecture. QSHINE (2013)
Sunitha Soni, O. P. Vyas
Building Weighted Associative Classifiers using Maximum Likelihood Estimation to Improve Prediction Accuracy in Health Care Data Mining. J. Inf. Knowl. Manag. 12 (1) (2013)
Jyothi Pillai, O. P. Vyas, Maybin K. Muyeba
HURI - A Novel Algorithm for Mining High Utility Rare Itemsets. ACITY (2) (2012)
S. Pramod, O. P. Vyas
Recent frequent itemsets mining over data streams. CCSEIT (2012)
Jyothi Pillai, O. P. Vyas
CSHURI - Modified HURI algorithm for Customer Segmentation and Transaction Profitability CoRR (2012)
Venkata Narasimha Pavan Kappara, Ryutaro Ichise, O. P. Vyas
LiDDM: A Data Mining System for Linked Data. LDOW (2011)
A. K. Dwivedi, O. P. Vyas
An Exploratory Study of Experimental Tools for Wireless Sensor Networks. Wirel. Sens. Netw. 3 (7) (2011)
A. K. Dwivedi, V. K. Patle, O. P. Vyas
Investigation on Effectiveness of Simulation Results for Wireless Sensor Networks. BAIP (2010)
C. P. Agrawal, O. P. Vyas, Manoj Kumar Tiwari
Evaluation of Varrying Mobility Models & Network Loads on DSDV Protocol of MANETs CoRR (2009)
Sunitha Soni, Jyothi Pillai, O. P. Vyas
An Associative Classifier using Weighted Association Rule. NaBIC (2009)
O. P. Vyas, M. K. Tiwari, Chandresh Pratap Singh
A Survey of Sensor Network and Related Routing Protocols. ICSOFT (PL/DPS/KE) (2008)
Chandresh Pratap Singh, O. P. Vyas, Manoj Kumar Tiwari
A Survey of Simulation in Sensor Networks. CIMCA/IAWTIC/ISE (2008)
Chandresh Pratap Singh, O. P. Vyas, Manoj Kumar Tiwari
An Overview of Routing Protocols of Sensor Networks. CIMCA/IAWTIC/ISE (2008)
Sandeep Choudhary, M. M. Gore, O. P. Vyas
Path Stability Based Adaptation of MANET Routing Protocols. IWDC (2004)