Titlebook: Data Science; 10th International C Chengzhong Xu,Haiwei Pan,Zeguang Lu Conference proceedings 2024 The Editor(s) (if applicable) and The Au

HIKE

Vasoconstrictor

A Segmentation Network for Coastal Cegetation Guided by Category-Wighted Information from UAV Perspesemantic segmentation. Based on this, this paper proposes MEAFormer, which designs a fusion branch to address the segmentation difficulties caused by the similarity in vegetation height. In the fusion branch, we have designed a Mixed Convolution Attention module (MCA) composed of deep stripe convolu

雀斑

Debrief

thwart

Research on the Promotion and Enhancement Paths of Hainan Wenbifeng Pangu Cultural Tourist Areas Bas internet promotion information about the Wenbifeng Scenic Area. Data from five platforms—Xiaohongshu, Tiktok, WeChat Official Accounts, Headlines Today, and Baidu—are gathered to understand the current situation and existing problems in the tourism promotion of the Wenbifeng Scenic Area. This artic

心胸开阔

Based on Network Text Analysis: A Study on the Promotion Strategy of a Boundary Island for Lingshui ly increasing. This has set higher service requirements for the future development of tourist attractions. To address this issue, the present study employs web text analysis methods to understand the bottlenecks and challenges in the tourism experience at Lingshui County’s Boundary Island, a 5A-rate

RENAL

Deep Reinforcement Learning Based on Greed for the Critical Cross-Section Identification Problemy a partition of the graph into two disjoint cuts that maximize the total weight of the cut. Traditionally, critical cross-sections have been determined through manual experience or mechanistic analysis, and effective intelligent methods to address these issues are lacking. Therefore, we propose a d

HERTZ

Intrusion Detection Based on Feature Selection and Transformer BiGRUachine learning algorithms in network intrusion detection, this paper proposes an intrusion detection system based on feature selection and deep learning. Firstly, the dataset is normalized and subjected to single hot encoding processing. For redundant features that appear after single hot encoding

Communicate

纯朴

Application of Deep Learning Models Based on Chaos Modeling in Power Internet of Things Forecasting models are widely used in the Power Internet of Things due to their powerful fitting capabilities. However, efficiently capturing the relationships between time data remains a challenge. To overcome this challenge, this paper proposes a time series prediction model called the CTN-former based on ch