Books & Book Chapters

• Headley, A.D. (2020). Organic chemistry: Concepts and applications. Wiley. 
• Igbasanmi, O., Sirakov, N.M., & Bowden, A. CNN for efficient objects classification with embedded vector fields. Accepted for publication by the Springer book series, Studies in Computational Intelligence, Electronic ISSN 1860-9503, Print ISSN 1860-949X, Best Paper Award. 

Articles

• Akar, M., Sirakov, N. M., & Mete, M. (2022). Clifford algebra multivectors and kernels for melanoma classification. Mathematical Methods in the Applied Sciences, 45(7), 4056–4068. https://doi.org/10.1002/mma.8034 
• Kandhare P.G., Ambalavanan, N., Travers, C. P., Carlo, W. A., Sirakov, N. M., & Nakhmani, A. (2023, Febraury). Comparison metrics for multi-step prediction of rare events in vital sign signals. Biomedical Signal Processing and Control, 80(2). https://doi.org/10.1016/j.bspc.2022.104371
• Kandhare P.G., Nakhmani, A., & Sirakov, N. M. (2022, August 3). Deep learning for location prediction on noisy trajectories. Pattern Abalysis and Applicactions - Springer, 26, 107-122. https://doi.org/10.1007/s10044-022-01095-y 
• Ngo, L.H., Sirakov, N. M., Luong, M., Viennet, E., & Le-Tien, T. (2022, March 14). Image classification based on sparse representation in the quaternion wavelet domain. IEEE Access, 10, 31548–31560. https://doi.org/10.1109/ACCESS.2022.3159701 

• Ngo, L.H., Luong, M., Sirakov, N.M., Viennet, E., Le-Tien T. (2022). Skin lesion image classification using sparse representation in quaternion wavelet domain. Signal, Image and Video Processing - Springer, 16, 1721–1729. https://doi.org/10.1007/s11760-021-02112-z

• Wang, T., Çelik, M., & Webster P. (2023, June 9). Use longitudinal data and moving average to illustrate effectiveness of supplemental instruction.PRIMUS : Problems, Resources, and Issues in Mathematics Undergraduate Studies, 33(9), 1022–1034. https://doi.org/10.1080/10511970.2023.2214930