… -sector partners differ in their enabling technology trajectory. Using a novel method of machine
learning matching, we compare patented technologies generated from more than 30,000 …

… The emphasis of this article is on machine learning technology because of its importance as
a foundational enabler of 6G. The core components of a Self-Organizing Network(SON) are, …

… To highlight the many techniques for machine learning, we use the taxonomy presented
in Figure 3.2. Other taxonomies, such as those from [55], are alternate ways of organizing the …

… Artificial Intelligence of Things (AIoT) has been proposed as AI adds value to IoT through
machine learning, and IoT adds value to AI through connectivity and data exchange. The term …

… 4.13 Onboard enabling technologies In this section on enabling technologies, we will mostly
concentrate on the topics that were not discussed in the previous sections. In addition to the …

… their ML-based countermeasures, and the enabling technologies that have a crucial role in
an … the enabling technologies such as IoT, blockchain, cloud computing, and ML that enable …

… This paper provides enabling technologies of IoT along with their challenges. Some …
Although, current enabling technologies make IoT feasible, they are not in a position to …

… The IoT in combination with machine learning (ML) techniques can give better results. Further,
metaheuristic techniques are used to handle heterogeneous data and can solve complex …

… In this paper, we analyze machine learning techniques and intro… of machine learning based
6G systems. To realize the network intelligentization in future 6G systems, machine learning …

… the ICT enabling technologies for data acquisition in the context of smart cities is given. These
technologies … To adjust to such conditions, sensor networks often adopt machine learning …