Critical design and control issues of indoor autonomous mobile robots: A review
Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …
environments and surrounding objects are known as autonomous mobile robots. Such …
Deep learning reader for visually impaired
Recent advances in machine and deep learning algorithms and enhanced computational
capabilities have revolutionized healthcare and medicine. Nowadays, research on assistive …
capabilities have revolutionized healthcare and medicine. Nowadays, research on assistive …
Ai-enabled droplet detection and tracking for agricultural spraying systems
This work leverages recent advancements in computer vision and deep learning to detect
and track the motion of droplets captured by a camera. While classical computer vision …
and track the motion of droplets captured by a camera. While classical computer vision …
Prediction of drag force on vehicles in a platoon configuration using machine learning
Machine learning is used for extraction of valuable information from data thus helping in
exploration of hidden patterns, leading to learning models that can be used for prediction. In …
exploration of hidden patterns, leading to learning models that can be used for prediction. In …
Real-time fuzzy-PID for mobile robot control and vision-based obstacle avoidance
In this work, the differential mobile robot is controlled utilizing fuzzy PID speed control, which
combines fuzzy control with conventional PID control in real time. The path may be …
combines fuzzy control with conventional PID control in real time. The path may be …
Autonomous robot navigation and exploration using deep reinforcement learning with Gazebo and ROS
In this paper, robot navigation and exploration methodologies are presented using Deep
Reinforcement Learning (DRL). The methodology has two parts. Firstly, the waypoint …
Reinforcement Learning (DRL). The methodology has two parts. Firstly, the waypoint …
Automated system for colon cancer detection and segmentation based on deep learning techniques
Colon cancer is one of the world's three most deadly and severe cancers. As with any
cancer, the key priority is early detection. Deep learning (DL) applications have recently …
cancer, the key priority is early detection. Deep learning (DL) applications have recently …
An effective deep learning model to discriminate coronavirus disease from typical pneumonia
Current technological advances are paving the way for technologies based on deep
learning to be utilized in the majority of life fields. The effectiveness of these technologies …
learning to be utilized in the majority of life fields. The effectiveness of these technologies …
A Long‐Term Shared Autonomous Vehicle System Design Problem considering Relocation and Pricing
Compared to conventional private vehicles (CPVs), shared autonomous vehicles (SAVs)
provide users the potential for the reduced value of time (VoT), improved mobility …
provide users the potential for the reduced value of time (VoT), improved mobility …
Power quality improvement for grid-connected photovoltaic panels using direct power control
This chapter displays a control strategy for a photovoltaic system (PV) linked to the network
with two phases of a PWM converter, where the first phase is a DC-DC converter linked …
with two phases of a PWM converter, where the first phase is a DC-DC converter linked …