Machine learning-based boosted regression ensemble combined with hyperparameter tuning for optimal adaptive learning
Over the past couple of decades, many telecommunication industries have passed through
the different facets of the digital revolution by integrating artificial intelligence (AI) techniques …
the different facets of the digital revolution by integrating artificial intelligence (AI) techniques …
A study on the adoption of Wireless Communication in Big Data Analytics Using Neural Networks and Deep Learning
P Rohini, S Tripathi, CM Preeti… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The study explores about the Wireless communication which is one of the most rapidly
evolving and active technology fields in the communication world. Wireless communication …
evolving and active technology fields in the communication world. Wireless communication …
Scope of machine learning applications for addressing the challenges in next‐generation wireless networks
RK Samanta, B Sadhukhan… - CAAI Transactions …, 2022 - Wiley Online Library
The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …
makes mobile technology very popular among users. Due to this popularity, there has been …
Machine learning for 6G wireless networks: Carrying forward enhanced bandwidth, massive access, and ultrareliable/low-latency service
To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …
The convergence of machine learning and communications
The areas of machine learning and communication technology are converging. Today's
communications systems generate a huge amount of traffic data, which can help to …
communications systems generate a huge amount of traffic data, which can help to …
Big data analytics, machine learning, and artificial intelligence in next-generation wireless networks
The next-generation wireless networks are evolving into very complex systems because of
the very diversified service requirements, heterogeneity in applications, devices, and …
the very diversified service requirements, heterogeneity in applications, devices, and …
The big-data-driven intelligent wireless network: architecture, use cases, solutions, and future trends
I Chih-Lin, Q Sun, Z Liu, S Zhang… - IEEE vehicular …, 2017 - ieeexplore.ieee.org
The concept of using big data (BD) for wireless communication network optimization is no
longer new. However, previous work has primarily focused on long-term policies in the …
longer new. However, previous work has primarily focused on long-term policies in the …
Machine learning and intelligent communications
XL Huang, X Ma, F Hu - Mobile Networks and Applications, 2018 - Springer
Along with the fast developing of mobile communications technologies, the amount of high
quality wireless services is required and increasing exponentially. According to the …
quality wireless services is required and increasing exponentially. According to the …
Artificial intelligence for 5G and beyond 5G: Implementations, algorithms, and optimizations
The communication industry is rapidly advancing towards 5G and beyond 5G (B5G) wireless
technologies in order to fulfill the ever-growing needs for higher data rates and improved …
technologies in order to fulfill the ever-growing needs for higher data rates and improved …
When machine learning meets big data: A wireless communication perspective
We have witnessed an exponential growth in commercial data services, which has led to the
so-called big data era. Machine learning, one of the most promising artificial intelligence (AI) …
so-called big data era. Machine learning, one of the most promising artificial intelligence (AI) …