In the field of wireless communication, transmitter localization technology is crucial for achieving accurate source tracking.However, the extant methodologies for localization face numerous challenges in wireless sensor networks (WSNs), particularly due to the constraints posed by the sparse distribution of sensors across large areas.We present DS

Deep ng76 learning has broad applications in various fields.However,users still need to face problems from two aspects when applying deep learning.First,deep learning has a complex theoretical background,non-professional users lack background knowledge in modeling and tuning.It is difficult for them to build performance-optimized models.Second,modu

Abstract Background A growing body of evidence has revealed that the mammalian genome is organized into hierarchical layers that are closely correlated with and may even be causally linked with solar filter 55mm variations in gene expression.Recent studies have characterized chromatin organization in various porcine tissues and cell types and compa