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​Department of Computer Science Research Output


  • ​​D​​utta, P.; Ramyasree, J.; Sridhar, V.; Minchula, V.K.; Mohanta, H.C.; Mahfoudh, S.; Shah, S.B.H.; Singh, S.P. Evaluating the Efficiency of Non-Orthogonal MU-MIMO Methods in Smart Cities Technologies & 5G Communication. Sustainability 2023, 15, 236. https://doi.org/10.3390/su15010236.

  • ​​Ullah, F.; Chen, X.; Shah, S.B.H.; Mahfoudh, S.; Hassan, M.A.; Saeed, N. A Novel Approach for Emotion Detection and Sentiment Analysis for Low Resource Urdu Language Based on CNN-LSTM. Electronics 2022, 11, 4096. https://doi.org/10.3390/electronics11244096.

  • ​​Sghaier, S.; Krichen, M.; Ben Dhaou, I.; Elmannai, H.; Alkanhel, R. Identification, 3D-Reconstruction, and Classification of Dangerous Road Cracks.Sensors 2023, 23, 3578. https://doi.org/10.3390/s23073578.

  • ​​Namane, S.; Ahmim, M.; Kondoro, A.; Dhaou, I.B. Blockchain-Based Authentication Scheme for Collaborative Traffic Light Systems Using Fog Computing. Electronics 2023, 12, 431. https://doi.org/10.3390/electronics12020431.

  • ​​​C. Lin, G. Han, J. Jiang, C. Li, S. B. H. Shah and Q. Liu, "Underwater Pollution Tracking Based on Software-Defined Multi-Tier Edge Computing in 6G-Based Underwater Wireless Networks," in IEEE Journal on Selected Areas in Communications, vol. 41, no. 2, pp. 491-503, Feb. 2023, doi: 10.1109/JSAC.2022.3233625.

  • ​​​Gupta, R.K.; Chawla, V.; Pateriya, R.K.; Shukla, P.K.; Mahfoudh, S.; Shah, S.B.H. Improving Collaborative Intrusion Detection System Using Blockchain and Pluggable Authentication Modules for Sustainable Smart City. Sustainability 2023, 15, 2133. https://doi.org/10.3390/su15032133.

  • ​​ Hussain, M.; Baloach, N.K.; Ali, G.; ElAffendi, M.; Dhaou, I.B.; Ullah, S.S.; Uddin, M. Hardware Trojan Mitigation Technique in Network-on-Chip (NoC). Micromachines 2023, 14, 828. https:// doi.org/10.3390/mi14040828.

  • ​​Home energy management system using fog computing paradigm( Dr. imed).

  • ​​Real-Time Intruder Detection System for IoT-Enabled Smart Meters ( Dr. imed).

  • ​​MHAMDI, L., Dammak, O., Cottin, F., & Bendhaou, I. Deep Learning for COVID-19 Contamination Analysis and Prediction Using ECG Images on Raspberry Pi 4. Available at SSRN 4220603.

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    ​​​​​Singh, R., Sturley, S., Sharma, B., & Dhaou, I. B. (2023, January). Blockchain-enabled Device Authentication and Authorisation for Internet of Things. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-6). IEEE.​

  • ​​Kumar, R., Sharma, B., Shekhar, S., Dhaou, I. B., & Singhal, S. (2023, January). Real Time Prediction Model for Air Pollution and Air Quality Index based on Machine Learning. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-6). IEEE

  • ​​Singhal, S., Mangal, D., Kumar, R., Sharma, B., & Dhaou, I. B. (2023, January). Smart vegetable cutter for Smart Home. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-6). IEEE

  • ​​Sharma, A., Shukla, P., Gourisaria, M. K., Sharma, B., & Dhaou, I. B. (2023, January). Telecom Churn Analysis using Machine Learning in Smart Cities. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-5). IEEE

  • ​​Kandpal, M., Sharma, B., Barik, R. K., Chowdhury, S., Patra, S. S., & Dhaou, I. B. (2023, January). Human Activity Recognition in Smart Cities from Smart Watch Data using LSTM Recurrent Neural Networks. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-6). IEEE.

  • ​​​Sharma, A., Agrawal, P., Sharma, B., & Dhaou, I. B. (2023, January). Accidental Face Recognition and Detection Using Machine Learning. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-5

  • ​​​Garg, K. D., Gupta, M., Sharma, B., & Dhaou, I. B. (2023, January). A Comparison of Regression Techniques for Prediction of Air Quality in Smart Cities. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) .

  • ​​Goswami, V., Sharma, B., Patra, S. S., Chowdhury, S., Barik, R. K., & Dhaou, I. B. (2023, January). IoT-Fog Computing Sustainable System for Smart Cities: A Queueing-based Approach. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-6). IEEE

  • ​​Gupta, M., Dhaou, I. B., Garg, K. D., & Sharma, B. (2023, January). A Systematic Overview on Simulation of Connected Vehicles Infrastructure in Smart Cities. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-6). IEEE

  • ​​Zheng, X., Shah, S. B. H., Usman, S., Mahfoudh, S., Shemim KS, F., & Kumar Shukla, P. (2023). Resource allocation and network pricing based on double auction in mobile edge computing. Journal of Cloud Computing, 12(1), 1-11.

  • ​​ Dongfen Li, Jinshan Lai, Ruijin Wang, Xiong Li, Pandi Vijayakumar, Brij B. Gupta, Wadee Alhalabi,Ubiquitous intelligent federated learning privacy-preserving scheme under edge computing, Future Generation Computer Systems,Volume 144,2023, Pages 205-218,ISSN 0167-739X,https://doi.org/10.1016/j.future.2023.03.010.

  • ​​ Hitching, R.; Hoffman, H.G.; Garcia-Palacios, A.; Adamson, M.M.; Madrigal, E.; Alhalabi, W.; Alhudali, A.; Sampaio, M.; Peterson, B.; Fontenot, M.R.; Mason, K.P. The Emerging Role of Virtual Reality as an Adjunct to Procedural Sedation and Anesthesia: A Narrative Review. J. Clin. Med. 2023, 12, 843. https://doi.org/10.3390/jcm12030843.

  • ​​ Yuelong Zheng, Siman Liu, Yan Zhao, Chunjia Han, Qijun Zhou, Lin Wang, Francesco Colace, Wadee Alhalabi, Hind Alsharif,Game analysis on general purpose technology cooperative R&D with fairness concern from the technology chain perspective,

  • ​​Journal of Innovation & Knowledge, Volume 8, Issue 1,2023,100312, ISSN 2444-569X, https://doi.org/10.1016/j.jik.2023.100312.

  • ​​​(https://www.sciencedirect.com/science/article/pii/S2444569X23000082).

  • ​​Chui, K.T.; Gupta, B.B.; Zhao, M.; Malibari, A.; Arya, V.; Alhalabi, W.; Ruiz, M.T. Enhancing Electrocardiogram Classification with Multiple Datasets and Distant Transfer Learning. Bioengineering 2022, 9, 683. https://doi.org/10.3390/bioengineering9110683.

  • ​​Yang Wang, Pandi Vijayakumar, Brij B. Gupta, Wadee Alhalabi, Audithan Sivaraman, An improved entity recognition approach to cyber-social knowledge provision of intellectual property using a CRF-LSTM model,Pattern Recognition Letters,Volume 163,2022,Pages 145-151,ISSN 0167-8655, https://doi.org/10.1016/j.patrec.2022.10.001. ​
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