… Datasets from the UCI machine learning depository were utilized in this research considering
the biological analysis and motivation of the relative datasets: E. coli datasets with an …

… beam during handovers. The study … machine learning and gives an overview of the literature
studied for this thesis. First traditional supervised learning and the general goal of learning …

… We investigate the VT calculation using a Machine Learning (ML) algorithm adaptively, …
Chung, ‘‘5G mmWave multiple active protocol stack optimized deep learning handover,’’ …

… handover schemes that utilizing machine learning, deep learning, and automatic robust
processes, the handover … Handover optimization algorithms and handover decision techniques …

… in HWNs, necessitating a manual optimization approach as well as restricting or … a machine
learning technique to propose an efficient radio access technology selection (ie, handover) …

… regularity in handovers, to accelerate handovers, we propose to use historical handover data
… Paranjape, “Optimization of handover parameters for LTE/LTE-A in-building systems,” IEEE …

… be independently and identically distributed according to the machine learning theory [15],
we … Cui, “Handover optimization via asynchronous multi-user deep reinforcement learning,” in …

… to handover optimization. … handovers, we scrutinized different handover approaches
including RSRP, velocity-based, and advanced methods such as machine learning, deep learning, …

… of the handover on the throughput of UEs. In [20], the authors propose a machine learning-based …
The authors evaluate the performance of five different machine learning models for …