Text localization play a crucial role in scene images to read the text content effectively.There have been built many deep learning (DL) rooted models for classification as well as localization of manifold language text in scene images in recent years.Though, after a thorough review it is explored that there is very less research conducted on text
Unmanned aerial vehicles (UAVs) are widely used for missions in dynamic environments.Deep Reinforcement Learning (DRL) can find effective strategies for multiple agents that need to cooperate to complete the task.In this article, the challenge of controlling the movement of a fleet of UAVs is addressed by Multi-Agent Deep Reinforcement Learning (MA
At present, tropical arid biomes house less woody plant species diversity than tropical moist biomes, which could be due to lower rates of evolutionary diversification in the recent or distant past.Here, we study the evolutionary diversification of Petalidium (Acanthaceae), a genus of 36 species of woody shrubs found in the Namib Desert of southwes
Increasing resistance to every major class of antibiotics and a dearth of novel classes of antibacterial agents in development pipelines has created a dwindling reservoir of treatment options for serious bacterial infections.The bacterial type IIA topoisomerases, DNA gyrase and topoisomerase IV, are validated antibacterial drug targets whole wheat