in the present paper we study convolution properties for subclasses of univalent harmonic functions in the open unit disc and obtain some basic properties such as coefficient characterization and extreme points.

Substation equipment defects are important factors affecting the safe operation of power grids. However, many non-rigid have low detection accuracy and poor robustness,due to boundary ambiguity, irregular shape tiny size. To address these problems,we propose a swin-transformer with recursive gated convolution framework for substation defect. Firstly, in order effectively detect defect objects i...

Abstract Compared with traditional smoke alarms, detection based on video images has the advantages of low cost, fast response time, wide applicability, etc. Smoke algorithms are becoming an effective and widely used tool for early warning fires by recognizing graphic features. In this paper, we use VGG-16 neural network as benchmark improve it using null convolution combining dynamic multi-fra...

Abstract There are problems of complex background, serious occlusion, and low accuracy foreign object detection on high-voltage transmission lines. In this paper, we propose an algorithm incorporating atrous convolution for the four types objects that more likely to appear lines: bird nests, balloons, kites, rubbish. The is based original YOLOv4 model, replacing SPP structure with ASPP structur...