Analyzing the robotic behavior in a smart city with deep enforcement and imitation learning using IoRT

Y Liu, W Zhang, S Pan, Y Li, Y Chen - Computer Communications, 2020 - Elsevier
Smart City aims to develop an environment in which different things goes to different people.
The smart city provides a core infrastructure by improving the status of the inhabitants by …

Comparative study for deep reinforcement learning with CNN, RNN, and LSTM in autonomous navigation

TAN Ziya, M KARAKOSE - … on Data Analytics for Business and …, 2020 - ieeexplore.ieee.org
Reinforcement learning algorithms are one of the popular machine learning methods in
recent years. Unlike deep learning (DL) algorithms, it does not require a data set during the …

An IoT platform with monitoring robot applying CNN-based context-aware learning

M Shin, W Paik, B Kim, S Hwang - Sensors, 2019 - mdpi.com
Internet of Things (IoT) technology has been attracted lots of interests over the recent years,
due to its applicability across the various domains. In particular, an IoT-based robot with …

[PDF][PDF] Intelligent model of ecosystem for smart cities using artificial neural networks

T Batool, S Abbas, Y Alhwaiti, M Saleem… - … Automation & Soft …, 2021 - researchgate.net
A Smart City understands the infrastructure, facilities, and schemes open to its citizens.
According to the UN report, at the end of 2050, more than half of the rural population will be …

Deep reinforcement learning based control for Autonomous Vehicles in CARLA

Ó Pérez-Gil, R Barea, E López-Guillén… - Multimedia Tools and …, 2022 - Springer
Abstract Nowadays, Artificial Intelligence (AI) is growing by leaps and bounds in almost all
fields of technology, and Autonomous Vehicles (AV) research is one more of them. This …

Securing the IoT system of smart city against cyber threats using deep learning

T Saba, AR Khan, T Sadad… - Discrete Dynamics in …, 2022 - Wiley Online Library
The idea of a smart city is to connect physical objects or things with sensors, software,
electronics, and Internet connectivity for data communication through the Internet of Things …

A survey on deep reinforcement learning architectures, applications and emerging trends

S Balhara, N Gupta, A Alkhayyat, I Bharti… - IET …, 2022 - Wiley Online Library
From a future perspective and with the current advancements in technology, deep
reinforcement learning (DRL) is set to play an important role in several areas like …

IoT enabled indoor autonomous mobile robot using CNN and Q-learning

M Saravanan, PS Kumar… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
This paper focuses on the construction of IoT enabled mobile robot with an arm which can
reach the destination autonomously and perform suitable actions in an indoor environment …

[PDF][PDF] Moving towards smart transportation with machine learning and Internet of Things (IoT): a review

AK Dogra, J Kaur - Journal of Smart Environments and …, 2022 - pdfs.semanticscholar.org
Abstract Internet of Things (IoT) is a new paradigm that is providing enormous services for
the innovative technical advances by the researchers. There are so many IoT applications …

An IOT based Home Automation System (HAS)

S Singu, VRK Kolla - International Journal of Machine Learning for …, 2022 - ijsdcs.com
Abstract with the advancement of Automation technology, life is getting simpler and easier in
all aspects. In today's world, Automatic systems are preferred over manual systems. With the …