A reinforcement learning approach for reducing traffic congestion using deep Q learning
Nowadays, traffic congestion is a significant issue globally. The vehicle quantity has grown
dramatically, while road and transportation infrastructure capacities have yet to expand …
dramatically, while road and transportation infrastructure capacities have yet to expand …
[HTML][HTML] Accelerated and Precise Skin Cancer Detection through an Enhanced Machine Learning Pipeline for Improved Diagnostic Accuracy
Unrepaired DNA damage in skin cells causes mutations leading to skin cancer, a highly
aggressive malignancy. This study proposes a machine learning (ML)-based framework for …
aggressive malignancy. This study proposes a machine learning (ML)-based framework for …
ViT-SENet-Tom: machine learning-based novel hybrid squeeze–excitation network and vision transformer framework for tomato fruits classification
Tomatoes are essential fruits in numerous nations for their vast demand. It is very important
to maintain the freshness of tomatoes. One of the primary challenges in the recent culinary …
to maintain the freshness of tomatoes. One of the primary challenges in the recent culinary …
User Plane Function (UPF) Allocation for C-V2X Network Using Deep Reinforcement Learning
In this paper, we proposed an online learning method for predicting an allocation of User
Plane Function (UPF) in Cellular Vehicle-to-Everything (C-V2X) networks integrated with …
Plane Function (UPF) in Cellular Vehicle-to-Everything (C-V2X) networks integrated with …
[PDF][PDF] Results in Engineering
SMMR Swapno, SMN Nobel, PK Meena, VP Meena… - researchgate.net
Unrepaired DNA damage in skin cells causes mutations leading to skin cancer, a highly
aggressive malignancy. This study proposes a machine learning (ML)-based framework for …
aggressive malignancy. This study proposes a machine learning (ML)-based framework for …