IEEE

Symmetry-Informed Reinforcement Learning and its Application to Low-Level Attitude Control of Quadrotors

Abstract: Symmetry is ubiquitous in nature, physics, and mathematics. However, a classical symmetry-agnostic reinforcement learning (RL) approach cannot guarantee to respect symmetry. Researchers have ...
IEEE

GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

Abstract: The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that ...
IEEE

Application of Data Mining Techniques on Air Pollution of Dhaka City

Abstract: In recent times, the air quality level of Dhaka city has been termed as hazardous. The weather of Dhaka city has gone through some drastic changes because of extreme air pollution. In this ...
IEEE

Linear array geometry synthesis with minimum sidelobe level and null control using particle swarm optimization

Abstract: This paper describes the synthesis method of linear array geometry with minimum sidelobe level and null control using the particle swarm optimization (PSO) algorithm. The PSO algorithm is a ...
IEEE

Modeling, Analysis and Testing of Autonomous Operation of an Inverter-Based Microgrid

Abstract: The analysis of the small-signal stability of conventional power systems is well established, but for inverter based microgrids there is a need to establish how circuit and control features ...
IEEE

Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information

Abstract: Tensor principal component pursuit (TPCP) is a powerful approach in the tensor robust principal component analysis (TRPCA), where the goal is to decompose a data tensor to a low-tubal-rank ...