With the widespread adoption of deep learning, reinforcement learning (RL) has
experienced a dramatic increase in popularity, scaling to previously intractable problems …

The current development in deep learning is witnessing an exponential transition into
automation applications. This automation transition can provide a promising framework for …

Electrified vehicles provide an effective solution to address the unfavorable impacts of fossil
fuel use in the transportation sector. Energy management strategy (EMS) is the core …

A resilient power distribution network can reduce length and impact of power outages,
maintain continuous services, and improve reliability. One effective way to enhance the …

The Internet of Things (IoT) is undergoing significant advancements, driven by the
emergence of backscatter communication (BC) and artificial intelligence (AI). BC is an …

Flocking with a swarm of unmanned aerial vehicles (UAVs) has been playing an important
role in various applications. However, the complexity of developing a collision-free flocking …

Multimedia content in 5G/6G networks makes safe, confidential, and efficient content
delivery difficult. Intelligent systems that adapt to the ever‐changing network environment …

Inkjet printing is a low-cost, high efficiency technology for organic light emitting diode
(OLED) manufacturing, and it is essential to accurately control the volume of droplets for …

Machine learning has achieved remarkable success across a broad range of scientific and
engineering disciplines, particularly its use for predicting native protein structures from …

The selection of an algorithm in the real world of the application domain is a challenging
problem as no specific algorithm exists capable of solving all issues to a satisfactory …