Principle Operation of a Line Follower Robot
MA Baballe - TMP Universal Journal of Research and …, 2023 - tmp.twistingmemoirs.com
A rudimentary autonomously guided robot called a" Line Follower Robot"(LFR) follows a line
written on the ground to either find a white line on a dark surface or a dark line on a white …
written on the ground to either find a white line on a dark surface or a dark line on a white …
Path following and avoiding obstacle for mobile robot under dynamic environments using reinforcement learning
VD Cong - Journal of Robotics and Control (JRC), 2023 - journal.umy.ac.id
Obstacle avoidance for mobile robot to reach the desired target from a start location is one of
the most interesting research topics. However, until now, few works discuss about working of …
the most interesting research topics. However, until now, few works discuss about working of …
A federated learning approach to support the decision-making process for ICU patients in a European telemedicine network
G Paragliola, P Ribino, Z Ullah - Journal of Sensor and Actuator Networks, 2023 - mdpi.com
A result of the pandemic is an urgent need for data collaborations that empower the clinical
and scientific communities in responding to rapidly evolving global challenges. The …
and scientific communities in responding to rapidly evolving global challenges. The …
[HTML][HTML] Development of split ring resonator shaped six element 2× 3 multiple input multiple output antenna for the C/X/Ku/K band applications
In this manuscript, we have numerically investigated and experimentally verified the six-
element split ring resonator and circular patch-shaped multiple input, multiple output …
element split ring resonator and circular patch-shaped multiple input, multiple output …
Cloud-based monitoring system for personalized home medication
This paper introduces an Artificial Intelligence (AI)-enabled system to assist patients to follow
a treatment plan at home. The deep learning model is a Convolutional Neural Network …
a treatment plan at home. The deep learning model is a Convolutional Neural Network …
A Hybrid Multi-Agent Reinforcement Learning Approach for Spectrum Sharing in Vehicular Networks
Efficient spectrum sharing is essential for maximizing data communication performance in
Vehicular Networks (VNs). In this article, we propose a novel hybrid framework that …
Vehicular Networks (VNs). In this article, we propose a novel hybrid framework that …
[HTML][HTML] Defining a Metric-Driven Approach for Learning Hazardous Situations
Artificial intelligence has brought many innovations to our lives. At the same time, it is worth
designing robust safety machine learning (ML) algorithms to obtain more benefits from …
designing robust safety machine learning (ML) algorithms to obtain more benefits from …
COVID-19 prediction infrastructure using deep learning
Coronavirus can lead to respiratory illnesses ranging from mild to severe, and even death,
which makes early detection critical. However, current COVID-19 (Coronavirus Disease …
which makes early detection critical. However, current COVID-19 (Coronavirus Disease …
Six-element MIMO antenna structure with squared ring structure with multiband and high gain characteristics for C/X/Ku/K band applications
Using ring resonator structure, we have presented a structure of the six-element multiple
input multiple output (MIMO) antenna structure. The proposed structure is numerically …
input multiple output (MIMO) antenna structure. The proposed structure is numerically …
Self-Adapted Resource Allocation in V2X Communication
The intelligent transportation system (ITS) along with vehicular communications are making
our daily life safer and easier eg, saving time, traffic control, safe driving, etc. Many …
our daily life safer and easier eg, saving time, traffic control, safe driving, etc. Many …