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2022
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- Lungu, N., Singh, S., Tembo, S., Mishra, M.R., Aljahdali, H.M., Barik, L., Pattnayak, P., Gourisaria, M.K. and Patra, S.S., 2024. Dynamic Shader Termination and Throttling for Side-Channel Security on GPUOwl.International Journal of Advanced Computer Science & Applications,15(6).
- T. N. Pandey, B. Bhusan Dash, L. Barik, U. C. De, A. Tripathy and S. S. Patra, "System for Predicting Heart Disease using Sophisticated Machine Learning Techniques," 2023 Global Conference on Information Technologies and Communications (GCITC), Bangalore, India, 2023, pp. 1-5, doi: 10.1109/GCITC60406.2023.10426332. keywords: {Heart;Training;Cardiac disease;Predictive models;Multilayer perceptrons;Ensemble learning;Bagging;Heart Disease;XGBoost;AdaBoost;LightGBM;Multilayer Perceptron;Ensemble model;Machine Learning},
- B. B. Dash, S. S. Patra, L. Barik, A. Ghosh, T. N. Pandey and M. K. Gourisaria, "Energy-Saving VM in SDN-Driven Cloud Data Center with the Operational Vacation Policy," 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Bengaluru, India, 2023, pp. 1141-1146, doi: 10.1109/ICIMIA60377.2023.10426138. keywords: {Cloud computing;Virtual machining;Energy efficiency;Steady-state;Servers;Internet of Things;Optimization;Queueing model;Software Defined Network;Cloud data center;Performance measurement;Vacation policy;Energy optimization},
- Meena, V. P., Barik, L., & Singh, V. P. (2022, March). Markov-Parameters and Time-Moments Based Approximation of Discrete Interval Systems. In 2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) (pp. 1-5). IEEE.
- Meena, V. P., Singh, V. P., & Barik, L. (2022). Kharitonov polynomial-based order reduction of continuous interval systems. Circuits, Systems, and Signal Processing, 41(2), 743-761.
- Barik, L., Ahmad, M. A., Shekh, M., Barik, A., Patra, S. S., & Behera, S. (2022). PhyMCons: Physical Machine Consolidation for Minimizing VM Migration and Energy Consumption in Fog Center. In Intelligent Systems (pp. 313-322). Springer, Singapore.
- Barik, L., Patra, S. S., Mukherjee, P., Mohanty, J. R., & Barik, R. K. (2022, May). QH2O: Energy Efficient Task Scheduling Using Quasi Reflected Harris Hawks Algorithm in Fog Environment. In Evolution in Computational Intelligence: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021) (Vol. 267, p. 309). Springer Nature.
- Mukherjee, P., Patra, S. S., Samantaray, S., Barik, L., & Barik, R. K. (2022). SCSF: Supply Chain Sustainability Framework by Bayesian Theory and Markov Model for Risk Analysis. In Evolution in Computational Intelligence (pp. 301-308). Springer, Singapore.
- Barik, L., Patra, S. S., Kumari, S., Panda, A., & Barik, R. K. (2022). Minimizing Energy Through Task Allocation Using Rao-2 Algorithm in Fog Assisted Cloud Environment. In Expert Clouds and Applications (pp. 1-10). Springer, Singapore.
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2021
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- Mukherjee, P., Barik, L., Pradhan, C., Patra, S. S., & Barik, R. K. (2021). hQChain: Leveraging Towards Blockchain and Queueing Model for Secure Smart Connected Health. International Journal of E-Health and Medical Communications (IJEHMC), 12(6), 1-20.
- Naik, M., Barik, L., Kandpal, M., Patra, S. S., Jena, S., & Barik, R. K. (2021, May). EVMAS: An Energy-aware Virtual Machine Allocation Scheme in Fog Centers. In 2021 2nd International Conference for Emerging Technology (INCET) (pp. 1-6). IEEE.
- Patro, R., Patra, S. S., Barik, L., Prusty, A. D., & Barik, R. K. (2021, February). Module placement scheme using MPC4. 5 with Markov chain process for mobile fog computing environment. In 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (pp. 304-309). IEEE.
- Panigrahi, S. K., Barik, R. K., Behera, S., Barik, L., & Patra, S. S. (2021, January). Performability Analysis of FogGIS Model for Geospatial Web Services. In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 239-243). IEEE.
- Mishra, A., Gourisaria, M. K., Gupta, P., Patra, S. S., & Barik, L. (2021). Model-based Filtering Systems using a Latent-factor Technique. Recommender Systems, 97-119.
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2020
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- Barik, L., Barukab, O., & Ahmed, A. (2020). Employing artificial intelligence techniques for student performance evaluation and teaching strategy enrichment: An innovative approach. International Journal of Advanced and Applied Sciences, 7(11), 10-24.
- Barik, L. (2020). Data mining approach for digital forensics task with deep learning techniques. International Journal of ADVANCED AND APPLIED ENCES, 7(5), 56-65.
- Barik, L., AlRababah, A. A., & Al-Otaibi, Y. D. (2020). Enhancing Educational Data Mining based ICT Competency among e-Learning Tutors using Statistical Classifier. International Journal of Advanced Computer Science and Applications (IJACSA), 11(3).
- Barik, L. Building a Descriptive Exam Model for Student Performance using Process Mining Techniques in Examaize System.
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2019
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- LalBihari Barik, Ankita Barik (2019), “Influence of Self-Efficacy on Entrepreneurial Intention among Male and Female MBA Students in Gujarat”, A Refereed Monthly International Journal of Management, ISSN 0974 438X, Volume-12 Issue-4, pp 34-44. Accession Number: WOS:000510925000005
- Barik, L. (2019). IOT based Temperature and Humidity Controlling using Arduino and Raspberry pi. (IJACSA) International Journal of Advanced Computer Science and Applications.
- Gupta, S., Kumar, K., Tandon, A., Nguyen, P. T., & Barik, L. (2019). An IoT based approach to minimize air pollution. Int. J. Recent Technol. Eng.(IJRTE), 7, 596-599.
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2018
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- Barik, L. (2018). A Survey on Detecting Co-Operative Black Hole Attack on Multicast in Mobile Ad-Hoc Network. International Journal of Current Engineering and Scientific Research, 5(11), 149-155.
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