Deep learning is a new area of machine learning research. Deep learning technology
applies the nonlinear and advanced transformation of model abstraction into a large …

In recent years, swarm intelligence optimization algorithms have been proven to have
significant effects in solving combinatorial optimization problems. Introducing the concept of …

The recently emerging multi-portfolio selection problem lacks a proper framework to ensure
that client privacy and database secrecy remain intact. Since privacy is of major concern …

Inverse kinematics is one of the most complicated problems in robotics. The inverse
kinematics calculation is the basis for any industrial robot's ability to plan and follow a …

In this paper, we presented a Quadratic Interpolated Beetle Antennae Search (QIBAS), a
variant of the Beetle Antennae Search (BAS) algorithm to solve the higher dimensional …

The development of AI and robotics has led to an explosion of research and the number of
implementations in automated systems. However, whilst commonplace in manufacturing …

Path planning is one of the key steps in the application of industrial robotic manipulators.
The process of determining trajectories can be time-intensive and mathematically complex …

This study presents the efficacy of deep learning techniques in controlling the arm of a
humanoid robot without resorting to inverse kinematic analysis. Emphasizing real-time …

The present industry is upgrading very rapidly, and the competition is too high for its
existence in the current market. The robotic arm is playing a vital role in the development of …

The purpose is to optimize the Beetle Antenna Search (BAS) algorithm and apply it to the
Intelligent Transportation System (ITS) to process traffic data in time and solve traffic …