In this paper we have presented a novel technique for the navigation and path formulation of wheeled mobile robot.In a given environment having obstacles, a path is generated from the given initial and final position of the robot.Based on the global knowledge of the environment a global path is formulated initially.This global path considers all th
Blood Pressure Background: From qualitative studies with survivors of sexual violence, it is known that two important risk factors for sexual violence are unequal power relations and strong hierarchies; the concept of an empowering climate works against these risk factors and might thus serve as a factor in preventing experiences of sexual violence
Graph Neural Networks (GNNs) are powerful tools for learning graph-structured data, but their scalability is hindered by inefficient mini-batch generation, data transfer bottlenecks, and costly inter-GPU synchronization.Existing training frameworks fail to overlap these stages, leading to suboptimal resource utilization.This paper proposes MQ-GNN,
Thermohaline staircases are stepped structures of alternating thick mixed layers and thin high-gradient interfaces.These structures can be up to several tens of metres thick and are associated with double-diffusive mixing.Thermohaline staircases occur across broad swathes of the Arctic and tropical and subtropical oceans and SHAMPOO SWEET PEA can i
Image denoising is regarded as an ill-posed problem in computer vision Vacuums tasks that removes additive noise from imaging sensors.Recently, several convolution neural network-based image-denoising methods have achieved remarkable advances.However, it is difficult for a simple denoising network to recover aesthetically pleasing images owing to t