[PDF][PDF] Artificial intelligence-based lead propensity prediction
A Jadli, M Hain, A Hasbaoui - IAES International Journal of Artificial …, 2023 - academia.edu
Lead propensity prediction is a data-driven method used to define the value of prospects, by
assigning points to them based on their engagement with the business's digital channels …
assigning points to them based on their engagement with the business's digital channels …
[PDF][PDF] TOWARD A SMART LEAD SCORING SYSTEM USING MACHINE LEARNING
A Jadli, M Hamim, M Hain, A Hasbaoui - Indian Journal of Computer …, 2022 - ijcse.com
The segmentation of new commercial leads is a crucial task for modern and highly
competitive businesses, to identify new profitable opportunities and enhance their Return On …
competitive businesses, to identify new profitable opportunities and enhance their Return On …
A new deep fuzzy based MSER model for multiple document images classification
K Biswas, P Shivakumara, S Sivanthi, U Pal… - … Conference on Pattern …, 2022 - Springer
Understanding document images uploaded on social media is challenging because of
multiple types like handwritten, printed and scene text images. This study presents a new …
multiple types like handwritten, printed and scene text images. This study presents a new …
Application of Deep Learning in the Supply Chain Management: A comparison of forecasting demand for electrical products using different ANN methods
A El Filali, S El Filali, A Jadli - 2022 International Conference …, 2022 - ieeexplore.ieee.org
The task of demand forecasting has become more important recently due to the strong
economic and health crisis caused by covid 19. This phenomenon has brought uncertainty …
economic and health crisis caused by covid 19. This phenomenon has brought uncertainty …