Vision Transformers (ViTs) have achieved excellent performance on many computer vision tasks, which has attracted attention of many researchers for their adversarial robustness. As a kind of black-box attack, transfer...
详细信息
This paper presents a comparative analysis of sentiment classification methods applied to a dataset of Amazon reviews. Three methods are evaluated: the pre-trained BERT model, Naive Bayes with TF-IDF, and the lexicon-...
详细信息
With the rapid rise of the Industrial Internet, emails that convey a large amount of information require a strong network security environment. Aiming at the increasingly complex mail virus prevention and control work...
详细信息
The realm of computer vision has witnessed a profound interest from the scholarly community in the task of remote sensing object detection. Within this article, we present a pioneering and refined approach to feature ...
详细信息
Unmanned aerial vehicles(UAVs)are widely used in situations with uncertain and risky areas lacking network *** natural disasters,timely delivery of first aid supplies is *** UAVs face risks such as crashing into birds...
详细信息
Unmanned aerial vehicles(UAVs)are widely used in situations with uncertain and risky areas lacking network *** natural disasters,timely delivery of first aid supplies is *** UAVs face risks such as crashing into birds or unexpected *** systems with parachutes risk dispersing payloads away from target *** objective here is to use multiple UAVs to distribute payloads cooperatively to assigned *** civil defense department must balance coverage,accurate landing,and flight safety while considering battery power and *** Q-network(DQN)models are commonly used in multi-UAV path planning to effectively represent the surroundings and action *** strategies focused on advanced DQNs for UAV path planning in different configurations,but rarely addressed non-cooperative scenarios and disaster *** paper introduces a new DQN framework to tackle challenges in disaster *** considers unforeseen structures and birds that could cause UAV crashes and assumes urgent landing zones and winch-based airdrop systems for precise delivery and return.A new DQN model is developed,which incorporates the battery life,safe flying distance between UAVs,and remaining delivery points to encode surrounding hazards into the state space and ***,a unique reward system is created to improve UAV action sequences for better delivery coverage and safe *** experimental results demonstrate that multi-UAV first aid delivery in disaster environments can achieve advanced performance.
Many-objective Optimization problems (MaOPs), with four or more objectives are difficult to solve, is a kind of common optimization problems in actual industrial production. In recent years, a large number of many-obj...
详细信息
A variety of leaf diseases that can negatively impact crop output and quality present major problems to the development of potatoes. In this paper, a multi-model deep learning approach utilizing single convolutional n...
详细信息
The detection of skin cancer holds paramount importance worldwide due to its impact on global health. While deep convolutional neural networks (DCNNs) have shown potential in this domain, current approaches often stru...
详细信息
This work focuses on applying Gas Dynamic Analogous Exposure (GDAE) to assess exposure levels in traffic areas. The original GDAE method faced challenges in obtaining accurate vehicle collision angle parameters. To ad...
详细信息
This paper is focused on the synchronous control problem of teleoperation robot arms based on Markov jump linear systems. More specifically, a drive-response Markov model is used to describe the master and slave teleo...
详细信息
暂无评论