Automotive control functions are becoming increasingly complex and their development is
becoming more and more elaborate, leading to a strong need for automated solutions within …

The aim of path planning is to reach the goal from starting point by searching for the route of
an agent. In the path planning, the routes may vary depending on the number of variables …

Recent advances in machine learning have led to considerable interest in their application
to drug discovery, in the development of accurate predictive algorithms which can rapidly …

The automation in the current times has become the growing hot topic for discussion around
the globe. The growth of the machine learning and the development of new techniques have …

Autonomous vehicles (AVs) may get failures when driving in a foreign area, eg, a new city,
since the driving policy has not been designed for the local traffic characteristics. Thus, it is …

Résumé La confidentialité des données est devenue une préoccupation essentielle dans le
monde actuel. En effet, avec la prolifération du Big Data et l'utilisation croissante des …

Résumé La confidentialité des données est devenue une préoccupation essentielle dans le
monde actuel axé sur la technologie. En effet, avec la prolifération du Big Data et l'utilisation …

Reinforcement learning (RL) is an important field of research in machine learning that is
increasingly being applied to complex optimization problems in physics. In parallel …

Robotics is traditionally divided into two operational paradigms–autonomous control and
teleoperation. Both approaches are affected by the inherent strengths and weaknesses of …

The automation in the current times has become the growing hot topic for discussion around
the globe. The growth of the machine learning and the development of new techniques have …