Wetland Ecotourism Development Using Deep Learning and Grey Clustering Algorithm from the Perspective of Sustainable Development.

The purpose is to promote the sustainable development of wetland ecotourism in China and plan the passenger flow in different tourism periods. This work selects Zhangye Heihe wetland ecotourism spot as the research object. Firstly, the two single wetland ecotourism Demand Prediction Models (DPMs) are proposed based on the time series of the optimized Fuzzy Clustering Algorithm (FCA), grey theory, and the Markov Chain Method.

A real-time road detection method based on reorganized lidar data.

Road Detection is a basic task in automated driving field, in which 3D lidar data is commonly used recently. In this paper, we propose to rearrange 3D lidar data into a new organized form to construct direct spatial relationship among point cloud, and put forward new features for real-time road detection tasks. Our model works based on two prerequisites: (1) Road regions are always flatter than non-road regions.

Multi-appearance segmentation and extended 0-1 programming for dense small object tracking.

Aiming to address dense small object tracking, we propose an image-to-trajectory framework including tracking and detection, where Track-Oriented Multiple Hypothesis Tracking(TOMHT) is revised for tracking. Unlike common cases of multi-object tracking, merged detections and the greater number of objects make dense small object tracking a more challenging problem. Firstly, we handle frequent merged detections through the aspects of detection and hypothesis selection.

Scene text detection via extremal region based double threshold convolutional network classification.

In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating saliency detection methods, which ensures a high recall rate. Given a natural image, character candidates are extracted from three channels in a perception-based illumination invariant color space by saliency-enhanced MSER algorithm.

Evaluation of Pathogenicity of the Fungi and in Hazelnut Weevil ( L., Coleoptera, Curculionidae) Larvae.

The nut weevil () is one of the most important and widespread pests in hazelnut orchards. In order to screen entomopathogenic fungal strains with high virulence against , the growth rate, sporulation, and cumulative mortality of different and strains were investigated, and the process by which CoM 02 infects larvae was observed using scanning electron microscopy. The results indicated that the growth rate and sporulation of different fungal strains significantly differed.

[Tolerance of human body to simultaneous infusion of 5-fluorouracil and calcium folinate].

Background & Objective: It has been confirmed that calcium folinate (CF), as a chemotherapy-biochemical modulator of 5-fluorouracil (5-FU), can improve the effect of antitumor of 5-FU. But the usage and dosage of this therapy should be further studied. The purpose of this article was to study the maximum tolerated dose (MTD) and the dose limiting toxicity (DLT) of human body to simultaneously intravenous infusion of 5-FU and CF.