BB-KI Chips
Brandenburg and Bayern Action for AI-Hardware

Publications

[1] Raja, S. P., Sawicka, B., Stamenkovic, Z., & Mariammal, G. (2022). Crop prediction based on characteristics of the agricultural environment using various feature selection techniques and classifiers. IEEE Access, 10, 23625-23641.

[2] Xiong, Z., Stober, D., Krstić, M., Korup, O., Arango, M. I., Li, H., & Werner, M. (2023). Integrating AI Hardware in Academic Teaching: Experiences and Scope from Brandenburg and Bavaria. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, 75-81.

[3] Gundla, S. C., Karthik, M. P., Stamenkovic, Z., & Raja, S. P. (2023). A Feature Extraction Approach for the Detection of Phishing Websites Using Machine Learning. Journal of Circuits, Systems and Computers, 2450031.

[4] Sudhir, A., Joseph, L. E., Ahmad, N., Awasthi, S., Agarwal, V., Raja, S. P., & Stamenkovic, Z. (2023, October). A Machine Learning Approach to Spam Detection in Social Media Feeds. In 2023 IEEE 33rd International Conference on Microelectronics (MIEL) (pp. 1-6). IEEE.

[5] Gundla, S. C., Karthik, M. P., Stamenkovic, Z., & Raja, S. P. (2023). A Feature Extraction Approach for the Detection of Phishing Websites Using Machine Learning. Journal of Circuits, Systems and Computers, 2450031.

[6] Poudel, U., Regmi, A. M., Stamenkovic, Z., & Raja, S. P. (2023). Applicability of OCR Engines for Text Recognition in Vehicle Number Plates, Receipts and Handwriting. J. Circuits Syst. Comput., 32(18), 2350321-1.

[7] Vijay Nikhil, U., Stamenkovic, Z., & Raja, S. P. (2024). A Study of Elliptic Curve Cryptography and Its Applications. International Journal of Image and Graphics, 2550062.

[8] Mariammal, G., Suruliandi, A., Stamenkovic, Z., & Raja, S. P. (2024). A Novel Ensemble Machine Learning Algorithm for Predicting the Suitable Crop to Cultivate Based on Soil and Environment Characteristics Un nouvel algorithme d'apprentissage automatique d'ensemble pour Predire la culture appropriee a cultiver en fonction des Caracteristiques du sol et de l'environnement. IEEE Canadian Journal of Electrical and Computer Engineering.

[9] Nikhil, U. V., Pandiyan, A. M., Raja, S. P., & Stamenkovic, Z. (2024). Machine Learning-Based Crop Yield Prediction in South India: Performance Analysis of Various Models. Computers, 13(6), 137.