Machine learning applications in decision intelligence analytics
S Singh, A Anand, S Mukherjee… - … Intelligence Analytics and …, 2022 - Springer
Writing software (programs) is an obstruction, we do not have so many good developers
who can develop much more enhanced models and so, for this purpose today many use the …
who can develop much more enhanced models and so, for this purpose today many use the …
CNN Based Facial Expression Recognition System Using Deep Learning Approach
HK Sharma, T Choudhury, A Kandwal, A Mor… - Cyber Intelligence and …, 2022 - Springer
In this fast-growing world of 21st century Machine Learning (ML) is one of the most powerful
tools for solving a variety of real-life problems. Machine Learning helps both normal as well …
tools for solving a variety of real-life problems. Machine Learning helps both normal as well …
Model Analysis of Collaborative-Based Recommender System
T Pawar, V Sharma, P Kalra, D Mehrotra - Innovations in Cyber Physical …, 2021 - Springer
With the data growing in abundance amount and usage of social media increasing day by
day, the features of Youtube videos, video streaming apps, e-commerce sites etc. have been …
day, the features of Youtube videos, video streaming apps, e-commerce sites etc. have been …
A Proposed Approach to DDoS Attacks Detection on SDN Using Machine Learning Technique
S Chattopadhyay, AK Sahoo - Innovations in Cyber Physical Systems …, 2021 - Springer
Software-defined network (SDN) is becoming very popular because of numerous
advantages it offers, such as scalability, centralized management, better performance and …
advantages it offers, such as scalability, centralized management, better performance and …