Journal Publications

2024

Kaur, B. P., Singh, H., Hans, R., Sharma, S. K., Sharma, C., Hassan, M. M. (2024). A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI. PloS One, 19(12), e0308015. (SCI: Impact Factor = 2.9)

Sandhu, J. K., Kaur, A., Kaushal, C. (2024). The Future of Breast Cancer Detection: A Review on the Integration of Cloud-Based Deep Learning Models. International Journal of Intelligent Systems and Applications in Engineering (IJISAE), 12(21s), 3124–3129.

Tosta, T.A.A., de Faria, P.R., Neves, L.A. Martins, A.S., Kaushal, C., do Nascimento, M Z. (2024). Evaluation of sparsity metrics and evolutionary algorithms applied for normalization of HE histological images. Pattern Analysis and Applications, 27, 11. (SCI: Impact Factor = 3.9)

Nag, A., Hassan. M. M., Das. A., Sinha, A., Das. M., Rao, G.M., Ali, M.S., Kaushal, C., Kumar, C., Singh, N. (2024). A comprehensive review of automated sarcasm detection techniques on Twitter. International Journal of Services, Economics and Management. DOI: 10.1504/IJSEM.2023.10062313

Kaur, B. P., Singh, H., Hans, R., Sharma, S. K., Kaushal, C., Hassan, M. M., & Shah, M. A. (2024). An augmentation aided concise CNN based architecture for COVID-19 diagnosis in real time. Scientific Reports, 14(1), 1136. (SCI: Impact Factor = 4.9)

2023


Kaur, A., Kaushal, C., Sandhu, J. K., Damaˇseviˇcius, R., & Thakur, N. (2023). Histopathological Image Diagnosis for Breast Cancer Diagnosis Based on Deep Mutual Learning. Diagnostics, 14(1), 95. (SCI: Impact Factor = 3.99)

Sharma, K., Hassan, M.M., Pandey, S.K., Saini, M., Doriya, R., Ojha, M.K., Sinha, A., Kaushal, C., Bairagi, A.K. and Soliman, N.F. (2023). Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm, IEEE Access, vol. 11, (pp. 146003-146013). (SCI: Impact Factor = 3.9)

Ahsan, M. M., Ali, M. S., Hassan, M. M., Abdullah, T. A., Gupta, K. D., Bagci, U., Kaushal, C., & Soliman, N. F. (2023). Monkeypox Diagnosis with Interpretable Deep Learning. IEEE Access, vol 11, (pp. 81965-81980). (SCI: Impact Factor = 3.9)

Yasmin, F., Hassan, M. M., Hasan, M., Zaman, S., Kaushal, C., El-Shafai, W., & Soliman, N. F. (2023). PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning. IEEE Access, vol 11, (pp. 24053-24076). (SCI: Impact Factor = 3.9)

Hassan, M.M., Zaman, S., Mollick, S., Hassan, M.M., Raihan, M., Kaushal, C., Bhardwaj, R. (2023). An efficient Apriori algorithm for frequent pattern in human intoxication data. Innovations in Systems and Software Engineering, 19(1), pp. 61-69

2022


Jindal, L., Kumar, S., Kaushal, C., Bhende, M., Thakare, A., Shabaz, M. (2022). Aspect-based sentiment analysis employing linguistics content oversocial media for Web of Things. IET Communications, vol 2022, (pp. 1–10). (SCIE: Impact Factor = 1.542)

Kaushal, C., Islam, M. K., Althubiti, S. A., Alenezi, F., & Mansour, R. F. (2022). A Framework for Interactive Medical Image Segmentation Using Optimized Swarm Intelligence with Convolutional Neural Networks. Computational Intelligence and Neuroscience, vol 2022, (pp. 1-21). (SCI: Impact Factor = 3.120)

Islam, M. K., Kaushal, C., Amin, M. A., Algarni, A. D., Alturki, N., Soliman, N. F., & Mansour, R. F. (2022). A Secure Framework toward IoMT-Assisted Data Collection, Modeling, and Classification for Intelligent Dermatology Healthcare Services. Contrast Media & Molecular Imaging, vol 2022, (pp. 1-18). (SCI: Impact Factor = 3.009)

2021


Kaushal, C., Kaushal, K., & Singla, A. (2021). Firefly optimization-based segmentation technique to analyse medical images of breast cancer. International Journal of Computer Mathematics, 98(7), 1293-1308. (SCI: Impact Factor = 1.931)

2020


Kaushal, C., & Singla, A. (2020). Automated segmentation technique with self-driven post-processing for histopathological breast cancer images. CAAI Transactions on Intelligence Technology, 5(4), 294-300. (SCIE: Impact Factor = 7.985)

2019


Kaushal, C., Bhat, S., Koundal, D., & Singla, A. (2019). Recent trends in computer assisted diagnosis (CAD) system for breast cancer diagnosis using histopathological images. IRBM, 40(4), 211-227. (SCIE: Impact Factor = 5.50)

Kaushal, C., & Koundal, D. (2019). Recent Trends in Big Data using Hadoop. International Journal of Informatics and Communication Technology, 8, 39-49.

2015


Kaushal, C., Arya, A., & Pathania, S. (2015). Integration of data mining in cloud computing. Advances in Computer Science and Information Technology (ACSIT), 2(7), 48-52.

Arya, A., Pathania, S, & Kaushal, C. (2015). Cloud-Based wireless body area network for healthcare monitoring system. Advances in Computer Science and Information Technology (ACSIT), vol, 2, 2393-9907

Pathania, S, Kaushal, C. & Arya, A. (2015). Comparative analysis of FP-Growth and CFPGrowth++. Advances in Computer Science and Information Technology (ACSIT), vol.2(7), 33-39.

2014


Kaushal, C. & Bilandi, N. (2014). A Review: Clumping in Mobile Adhoc Networks. International Journal of Innovative Research in Computer and Communication Engineering, 2, 3795-3799.