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ORCIDO. P. Vyas 0001
Om Prakash Vyas
Person information
- affiliation: Indian Institute of Information Technology-Allahabad, Department of Information Technology, India
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2020 – today
- 2024
[j29]Tinku Singh
, Ayush Sinha, Satakshi Singh, O. P. Vyas, Manish Kumar:
Distributed hyperparameter optimization based multivariate time series forecasting. Multim. Tools Appl. 83(2): 5031-5053 (2024)- [c39]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: 360-372 - 2023
- [j28]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): 118998 (2023) - [j27]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): 2127-2147 (2023) - [c38]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: 324-331 - [c37]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: 1-6 - [c36]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: 1-6 - [c35]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: 1-15 - [i16]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 abs/2312.15319 (2023) - 2022
- [j26]Jaya Singh, Ayush Sinha, Priyanka Goli, Venkatesan Subramanian, Sandeep Kumar Shukla, Om Prakash Vyas:
Insider attack mitigation in a smart metering infrastructure using reputation score and blockchain technology. Int. J. Inf. Sec. 21(3): 527-546 (2022) - [j25]Ashish Singh Patel, Ranjana Vyas, O. P. Vyas, Muneendra Ojha:
A study on video semantics; overview, challenges, and applications. Multim. Tools Appl. 81(5): 6849-6897 (2022) - [c34]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: 736-742 - [c33]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: 753-759 - [c32]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: 1-5 - [c31]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: 242-249 - [c30]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: 417-428 - [c29]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: 429-439 - [c28]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: 467-475 - [c27]Divyansh Rai, Arpit Agarwal, Bagesh Kumar, O. P. Vyas, Suhaib Khan, S. Shourya:
Generating Textual Description Using Modified Beam Search. ICONIP (5) 2022: 136-147 - [c26]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: 493-504 - [c25]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: 518-529 - [i15]Uphar Singh, Kumar Saurabh, Neelaksh Trehan, Ranjana Vyas, O. P. Vyas:
Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study. CoRR abs/2206.09414 (2022) - [i14]Uphar Singh, Tushar Musale, Ranjana Vyas, O. P. Vyas:
Agricultural Plantation Classification using Transfer Learning Approach based on CNN. CoRR abs/2206.09420 (2022) - [i13]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 abs/2207.00424 (2022) - [i12]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 abs/2207.10803 (2022) - 2021
- [j24]Bagesh Kumar, Ayush Sinha, Sourin Chakrabarti, O. P. Vyas:
A fast learning algorithm for One-Class Slab Support Vector Machines. Knowl. Based Syst. 228: 107267 (2021) - [j23]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): 467-491 (2021) - [c24]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: 1-7 - 2020
- [j22]Abhinav Khare, Giovanni Merlino, Francesco Longo, Antonio Puliafito, Om Prakash Vyas:
Design of a Trustless Smart City system: The #SmartME experiment. Internet Things 10: 100126 (2020) - [i11]Ayush Sinha, Sourin Chakrabarti, O. P. Vyas:
Distributed Grid restoration based on graph theory. CoRR abs/2011.03214 (2020) - [i10]Bagesh Kumar, Ayush Sinha, Sourin Chakrabarti, Aashutosh Khandelwal, Harsh Jain, O. P. Vyas:
Sequential Minimal Optimization for One-Class Slab Support Vector Machine. CoRR abs/2011.03243 (2020)
2010 – 2019
- 2019
- [c23]Abhinav Khare, Giovanni Merlino, Francesco Longo, Antonio Puliafito, Om Prakash Vyas:
Toward a Trustless Smart City: the #SmartME Experience. WETICE 2019: 204-207 - 2018
- [j21]Bharat Singh, Om Prakash Vyas:
Maximum spanning tree based redundancy elimination for feature selection of high dimensional data. Int. Arab J. Inf. Technol. 15(5): 831-841 (2018) - [j20]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): 441-453 (2018) - [c22]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: 417-422 - 2017
- [j19]Monika Rani, Amit Kumar Dhar, O. P. Vyas:
Semi-automatic terminology ontology learning based on topic modeling. Eng. Appl. Artif. Intell. 63: 108-125 (2017) - [j18]Dilip Singh Sisodia, Shrish Verma, Om Prakash Vyas:
Augmented intuitive dissimilarity metric for clustering of Web user sessions. J. Inf. Sci. 43(4): 480-491 (2017) - [j17]Pradeep Singh, Nikhil R. Pal, Shrish Verma, Om Prakash Vyas:
Fuzzy Rule-Based Approach for Software Fault Prediction. IEEE Trans. Syst. Man Cybern. Syst. 47(5): 826-837 (2017) - [c21]Nidhi Kushwaha, Giovanni Merlino, Francesco Longo, Dario Bruneo, Antonio Puliafito, O. P. Vyas:
Providing Sensor Services by Data Correlation: The #SmartME Approach. CISIS 2017: 864-874 - [c20]Nachiket Tapas, O. P. Vyas:
IoT deployment for smarter cities with special reference to mobility. ICC 2017: 147:1-147:4 - [i9]Monika Rani, Sanchit Alekh, Aditya Bhardwaj, Abhinav Gupta, O. P. Vyas:
Ontology-based Classification and Analysis of non- emergency Smart-city Events. CoRR abs/1708.00856 (2017) - [i8]Monika Rani, Kumar Vaibhav Srivastava, O. P. Vyas:
An Ontological Learning Management System. CoRR abs/1708.09475 (2017) - [i7]Monika Rani, Riju Nayak, O. P. Vyas:
An Ontology-based Adaptive Personalized E-learning System, Assisted by Software Agents on Cloud Storage. CoRR abs/1709.01492 (2017) - [i6]Monika Rani, O. P. Vyas:
Smart Bike Sharing System to make the City even Smarter. CoRR abs/1709.01493 (2017) - [i5]Monika Rani, Amit Kumar Dhar, O. P. Vyas:
Semi-Automatic Terminology Ontology Learning Based on Topic Modeling. CoRR abs/1709.01991 (2017) - [i4]Aditya Khamparia, Monika Rani, Babita Pandey, O. P. Vyas:
Blended e-Learning Training (BeLT): Enhancing Railway Station Controller Knowledge. CoRR abs/1709.01992 (2017) - [i3]Monika Rani, Maybin K. Muyeba, O. P. Vyas:
A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering. CoRR abs/1709.09214 (2017) - 2016
- [j16]Dilip Singh Sisodia, Shrish Verma, Om Prakash Vyas:
A Discounted Fuzzy Relational Clustering of Web Users' Using Intuitive Augmented Sessions Dissimilarity Metric. IEEE Access 4: 6883-6893 (2016) - [j15]Monika Rani, Kumar Vaibhav Srivastava, Om Prakash Vyas:
An ontological learning management system. Comput. Appl. Eng. Educ. 24(5): 706-722 (2016) - [j14]Bharat Singh, Om Prakash Vyas:
A PSO Based Approach for Producing Optimized Latent Factor in Special Reference to Big Data. Int. J. Serv. Sci. Manag. Eng. Technol. 7(3): 55-70 (2016) - [j13]Bhawana Rudra, Om Prakash Vyas:
Investigation of security issues for service-oriented network architecture. Secur. Commun. Networks 9(10): 1025-1039 (2016) - [c19]Aditya Khamparia, Monika Rani, Babita Pandey, O. P. Vyas:
Blended e-Learning Training (BeLT): Enhancing Railway Station Controller Knowledge. ICTCS 2016: 110:1-110:5 - [c18]Nidhi Kushwaha, Xudong Sun, O. P. Vyas, Artus Krohn-Grimberghe:
SemPMF: Semantic Inclusion by Probabilistic Matrix Factorization for Recommender System. PAAMS (Special Sessions) 2016: 327-334 - [c17]Nidhi Kushwaha, Om Prakash Vyas, Carlo Puliafito, Ranjana Vyas:
Towards an Ontology development for automated applications in Smart City environment of SmartME Project. VALUETOOLS 2016 - 2015
- [j12]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): 306-314 (2015) - [j11]Bhawana Rudra, O. P. Vyas:
Exploration of access control mechanisms for service-oriented network architecture. Int. J. Internet Protoc. Technol. 9(1): 1-11 (2015) - [j10]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): 281-290 (2015) - [j9]Bhawana Rudra, O. P. Vyas:
Understanding and mitigating security and authentication issues in service oriented network architecture. Int. J. Secur. Networks 10(1): 9-19 (2015) - [j8]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: 33-48 (2015) - [c16]Nidhi Kushwaha, O. P. Vyas:
SemTopMF - Prediction Recomendation by Semantic Topics Through Matrix Factorization Approach. WEBIST 2015: 118-123 - 2014
- [j7]Bharat Singh, O. P. Vyas:
A Meta-Heuristic Regression-Based Feature Selection for Predictive Analytics. Data Sci. J. 13: 106-118 (2014) - [j6]Nidhi Kushwaha, O. P. Vyas:
Leveraging Bibliographic RDF Data for Keyword Prediction with Association Rule Mining (ARM). Data Sci. J. 13: 119-126 (2014) - [j5]Akhilendra Pratap Singh, O. P. Vyas, Shirshu Varma:
Flexible Service Oriented Network Architecture for Wireless Sensor Networks. Int. J. Comput. Commun. Control 9(5): 610-622 (2014) - [c15]Nidhi Kushwaha, O. P. Vyas:
SemMovieRec: extraction of semantic features of DBpedia for recommender system. COMPUTE 2014: 13:1-13:9 - 2013
- [j4]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) - [c14]Akhilendra Pratap Singh, O. P. Vyas, Shirshu Varma:
A Framework of Service Selection and Composition for Flexible Network Architecture. QSHINE 2013: 998-1007 - 2012
- [c13]Jyothi Pillai, O. P. Vyas, Maybin K. Muyeba:
HURI - A Novel Algorithm for Mining High Utility Rare Itemsets. ACITY (2) 2012: 531-540 - [c12]S. Pramod, O. P. Vyas:
Recent frequent itemsets mining over data streams. CCSEIT 2012: 484-489 - [i2]Jyothi Pillai, O. P. Vyas:
CSHURI - Modified HURI algorithm for Customer Segmentation and Transaction Profitability. CoRR abs/1205.1609 (2012) - 2011
- [j3]A. K. Dwivedi, O. P. Vyas:
An Exploratory Study of Experimental Tools for Wireless Sensor Networks. Wirel. Sens. Netw. 3(7): 215-240 (2011) - [c11]Venkata Narasimha Pavan Kappara, Ryutaro Ichise, O. P. Vyas:
LiDDM: A Data Mining System for Linked Data. LDOW 2011 - 2010
- [c10]A. K. Dwivedi, V. K. Patle, O. P. Vyas:
Investigation on Effectiveness of Simulation Results for Wireless Sensor Networks. BAIP 2010: 202-208 - [c9]Lokesh Kumar Sharma, Om Prakash Vyas, Simon Scheider, Ajaya K. Akasapu:
Nearest Neighbour Classification for Trajectory Data. ICT 2010: 180-185
2000 – 2009
- 2009
- [c8]Sunitha Soni, Jyothi Pillai, O. P. Vyas:
An Associative Classifier using Weighted Association Rule. NaBIC 2009: 1492-1496 - [i1]C. P. Agrawal, O. P. Vyas, Manoj Kumar Tiwari:
Evaluation of Varrying Mobility Models & Network Loads on DSDV Protocol of MANETs. CoRR abs/0912.2284 (2009) - 2008
- [j2]Lokesh Kumar Sharma, Simon Scheider, Willy Kloesgen, Om Prakash Vyas:
Efficient clustering technique for regionalisation of a spatial database. Int. J. Bus. Intell. Data Min. 3(1): 66-81 (2008) - [c7]Chandresh Pratap Singh, O. P. Vyas, Manoj Kumar Tiwari:
A Survey of Simulation in Sensor Networks. CIMCA/IAWTIC/ISE 2008: 867-872 - [c6]Chandresh Pratap Singh, O. P. Vyas, Manoj Kumar Tiwari:
An Overview of Routing Protocols of Sensor Networks. CIMCA/IAWTIC/ISE 2008: 873-878 - [c5]Ranjana Vyas, Lokesh Kumar Sharma, Om Prakash Vyas, Simon Scheider:
Associative Classifiers for Predictive Analytics: Comparative Performance Study. EMS 2008: 289-294 - [c4]O. P. Vyas, M. K. Tiwari, Chandresh Pratap Singh:
A Survey of Sensor Network and Related Routing Protocols. ICSOFT (PL/DPS/KE) 2008: 215-220 - 2005
- [j1]Keshri Verma, Om Prakash Vyas:
Efficient calendar based temporal association rule. SIGMOD Rec. 34(3): 63-70 (2005) - [c3]Lokesh Kumar Sharma, Om Prakash Vyas, Uma Shanker Tiwary, Ranjana Vyas:
A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases. MLDM 2005: 620-629 - [c2]Keshri Verma, Om Prakash Vyas, Ranjana Vyas:
Temporal Approach to Association Rule Mining Using T-Tree and P-Tree. MLDM 2005: 651-659 - 2004
- [c1]Sandeep Choudhary, M. M. Gore, O. P. Vyas:
Path Stability Based Adaptation of MANET Routing Protocols. IWDC 2004: 198-203
Coauthor Index
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last updated on 2024-07-05 21:10 CEST by the dblp team
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