HIKE
发表于 2025-3-28 16:38:04
http://reply.papertrans.cn/29/2845/284447/284447_41.png
Vasoconstrictor
发表于 2025-3-28 19:53:51
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
发表于 2025-3-29 01:24:17
http://reply.papertrans.cn/29/2845/284447/284447_43.png
Debrief
发表于 2025-3-29 05:57:08
http://reply.papertrans.cn/29/2845/284447/284447_44.png
thwart
发表于 2025-3-29 10:56:17
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
发表于 2025-3-29 11:31:41
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
发表于 2025-3-29 15:44:25
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
发表于 2025-3-29 20:08:10
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
发表于 2025-3-30 00:34:17
http://reply.papertrans.cn/29/2845/284447/284447_49.png
纯朴
发表于 2025-3-30 08:00:40
Application of Deep Learning Models Based on Chaos Modeling in Power Internet of Things Forecastingmodels 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