作者: Genome 時間: 2025-3-21 20:51
Improving Adversarial Attacks with?Ensemble-Based Approaches known models, meanwhile, keeping a higher success rate on all original models. In addition, the experiment result illustrates that, for more challenging targeted attacks, our methods exhibit higher transferability than other state-of-the-art attacks.作者: RENIN 時間: 2025-3-22 01:27 作者: 旋轉(zhuǎn)一周 時間: 2025-3-22 04:52
An Optical Satellite Controller Based on?Diffractive Deep Neural Networkconvert the light field at the output plane of DM module into electronic signals. Then, we trained the DM module to make the decoded electrical signals consistent with the desired optimal control commands. Therefore, when the light carrying input information and propagating through the well-trained 作者: HARD 時間: 2025-3-22 09:28
Incomplete Cigarette Code Recognition via?Unified SPA Features and?Graph Space Constraintsconstraints and calculate character spatial correlations and accurately estimates missing character landmarks. Finally, we employ the Hungarian algorithm to align recognition characters with estimated landmarks and fill missing characters with ‘*’ to preserve the complete semantic context, and produ作者: 健忘癥 時間: 2025-3-22 16:48
ETH-TT: A Novel Approach for?Detecting Ethereum Malicious Accountsas dataset for experiments. The results show that the ETH-TT method can achieve an F1-score of 95.4% with the cooperation of the XGBoost classifier, which is better than the detection method using only manual features.作者: Heart-Rate 時間: 2025-3-22 19:44
Multi-objective Meta-return Reinforcement Learning for?Sequential Recommendationnt effect (i.e., CTR), leading to trade-offs during optimization. To address these challenges, we propose a Multi-Objective Meta-return Reinforcement Learning (.) framework for sequential recommendation, which consists of a . and a .. Specifically, the . is designed to adaptively capture the return 作者: 種族被根除 時間: 2025-3-22 22:14
Purchase Pattern Based Anti-Fraud Framework in?Online E-Commerce Platform Using Graph Neural Networkveness of our framework, and the experimental results show that the DPP is able to capture more discriminative user patterns. Furthermore, GSR achieves the best performance compared to several state-of-the-art methods. Our method can be easily extended to other domains with the same problems as our 作者: prediabetes 時間: 2025-3-23 04:35 作者: MIR 時間: 2025-3-23 07:11
Blind Surveillance Image Quality Assessment via?Deep Neural Network Combined with?the?Visual Saliencd thus have a great impact on the overall quality of the SIs. Next, the convolutional neural network (CNN) is adopted to extract quality-aware features for the whole image and local region, which are then mapped into the global and local quality scores through the fully connected (FC) network respec作者: cardiopulmonary 時間: 2025-3-23 10:05 作者: pessimism 時間: 2025-3-23 16:25
An Integrated Navigation Method for UAV Autonomous Landing Based on Inertial and Vision Sensorsasurement information of the vision sensor appears singular. The estimation of the landing navigation parameters is realized by inertial information in the aid of vision. When the UAV rollouts, the vision sensor enters the ‘blind area’, judges the UAV’s motion state through the imaging features of t作者: FOIL 時間: 2025-3-23 21:16
An Automatic Surface Defect Detection Method with?Residual Attention Network(Resnet50) and spatial attention block, a residual attention network is proposed for effective feature representation, which could make the classification network better focus on the defect areas. Meanwhile, due to the scale information change among different defects, a multi-scale context fusion (M作者: 贊成你 時間: 2025-3-24 02:10 作者: Oscillate 時間: 2025-3-24 04:49 作者: 小蟲 時間: 2025-3-24 07:15
Binding Complex Data Types Part I known models, meanwhile, keeping a higher success rate on all original models. In addition, the experiment result illustrates that, for more challenging targeted attacks, our methods exhibit higher transferability than other state-of-the-art attacks.作者: 缺陷 時間: 2025-3-24 14:41
SportsStore: A RESTful Applicationtter predict users’ browsing behavior intent within different interest groups. A validation experiment on the large-scale dataset shows that the proposed method can predict user browsing intent with a decent performance.作者: 出生 時間: 2025-3-24 18:31 作者: 鄙視 時間: 2025-3-24 21:03
Implementation of the CACSD Package,constraints and calculate character spatial correlations and accurately estimates missing character landmarks. Finally, we employ the Hungarian algorithm to align recognition characters with estimated landmarks and fill missing characters with ‘*’ to preserve the complete semantic context, and produ作者: 階層 時間: 2025-3-25 02:39
Introduction to Cloud Storage with Parse,as dataset for experiments. The results show that the ETH-TT method can achieve an F1-score of 95.4% with the cooperation of the XGBoost classifier, which is better than the detection method using only manual features.作者: Campaign 時間: 2025-3-25 05:07 作者: Expurgate 時間: 2025-3-25 09:24
Backup, Recovery, and Moving Dataveness of our framework, and the experimental results show that the DPP is able to capture more discriminative user patterns. Furthermore, GSR achieves the best performance compared to several state-of-the-art methods. Our method can be easily extended to other domains with the same problems as our 作者: NATTY 時間: 2025-3-25 14:27 作者: confederacy 時間: 2025-3-25 16:17 作者: 木質(zhì) 時間: 2025-3-25 23:49
Object-Oriented Application Design, effective text-to-visual section segmentation strategy. Then, we model the mechanism that the viewers’ spotlight follows the lecturer and leverage the associations between sections to enhance multimodal representation. We also consider explicit inter-level constraints of the hierarchical knowledge 作者: orthopedist 時間: 2025-3-26 00:42 作者: 側(cè)面左右 時間: 2025-3-26 07:21 作者: Ingredient 時間: 2025-3-26 12:04 作者: 辭職 時間: 2025-3-26 13:09
Conference proceedings 2022igence, held in?Beijing, China, in August 2022.?CICAI is a summit forum in the field of artificial intelligence and the 2022 forum was hosted by Chinese Association for Artificial Intelligence (CAAI). ..The 164 papers were thoroughly reviewed and selected from 521 submissions.?CICAI aims to establis作者: engrossed 時間: 2025-3-26 16:59 作者: 黑豹 時間: 2025-3-26 21:42
Programming for Multiple Devices,. The experimental results show that GB-DTL can handle the tobacco packing problem of thousands of cargoes. By comparing with the Deep Reinforcement Learning (DRL) model for single cargo placement, GB-DTL has learned a better packing strategy. The mean vehicle full load ratio increased by 13.43%, and the mean cargo gap ratio reduced by 15.13%.作者: 講個故事逗他 時間: 2025-3-27 03:04
A Large-Scale Tobacco 3D Bin Packing Model Based on?Dual-Task Learning of?Group Blocks. The experimental results show that GB-DTL can handle the tobacco packing problem of thousands of cargoes. By comparing with the Deep Reinforcement Learning (DRL) model for single cargo placement, GB-DTL has learned a better packing strategy. The mean vehicle full load ratio increased by 13.43%, and the mean cargo gap ratio reduced by 15.13%.作者: Expertise 時間: 2025-3-27 08:59
Conference proceedings 2022h a global platform for international academic exchange, promote advanced research in AI and its affiliated disciplines such as machine learning, computer vision, natural language, processing, and data mining, amongst others..作者: Proclaim 時間: 2025-3-27 10:55
0302-9743 o establish a global platform for international academic exchange, promote advanced research in AI and its affiliated disciplines such as machine learning, computer vision, natural language, processing, and data mining, amongst others..978-3-031-20499-9978-3-031-20500-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: SLING 時間: 2025-3-27 14:02
Backup, Recovery, and Moving DataFinally, we conduct fault simulation in the IEEE 39-bus system and perform similarity analysis and clustering analysis, respectively, to reveal the propagation characteristics of faults in power grid.作者: 試驗(yàn) 時間: 2025-3-27 20:35
Implementing Remote Data Portal Hosts,a new dataset, named Uncertainty ASSIST (UncASSIST), in order to better deal with this problem. Experimental results show the effectiveness of our method on both the publicly available ASSIST and our proposed UncASSIST datasets.作者: 鞭子 時間: 2025-3-27 21:58
Power Grid Bus Cluster Based on?Voltage Phasor TrajectoryFinally, we conduct fault simulation in the IEEE 39-bus system and perform similarity analysis and clustering analysis, respectively, to reveal the propagation characteristics of faults in power grid.作者: 媒介 時間: 2025-3-28 03:15 作者: 低位的人或事 時間: 2025-3-28 06:20 作者: 癡呆 時間: 2025-3-28 14:24 作者: 的是兄弟 時間: 2025-3-28 15:57
SportsStore: A RESTful Applicationoral intent. Nowadays, the Product Recommendation Page (PRP) has played an increasingly significant role of e-commerce platforms with the popularity of recommendation systems. However, past research on predicting user behavioral intent across e-commerce platforms may not be applicable to PRPs, where作者: 不容置疑 時間: 2025-3-28 22:32
Implementation of the Expert System, variety of deep-neural-network (DNN) methods have been proposed to solve the problem, they are energy-consuming and computationally consuming, which limits their on-board deployments. In this work, we proposed a kind of diffractive-deep-neural-network-based optical satellite controller, and transfo作者: 宿醉 時間: 2025-3-29 01:19
Implementation of the CACSD Package,ribution. Unfortunately, the recognition task for incomplete cigarette code often suffers from lowered recognition accuracy and the destruction of semantic context due to complex backgrounds and damaged characters. This paper proposes an end-to-end recognition network for incomplete cigarette code t作者: obsolete 時間: 2025-3-29 03:53 作者: Diastole 時間: 2025-3-29 10:28 作者: 祖?zhèn)?nbsp; 時間: 2025-3-29 12:29
Introduction to the?Cassandra Query Languageis attracting much attention in the sequential recommendation realm. Many RL models have shown promising results on sequential recommendation; however, these methods have two major issues. First, they always apply the conventional exponential decaying summation for return calculation in the recommen作者: Bricklayer 時間: 2025-3-29 17:47
Backup, Recovery, and Moving Dataing a serious threat to the operation of platforms. Traditional anti-fraud strategies are no longer applicable as they analyzed fraudulent behaviors individually and only rely on static statistical characteristics. In this paper, we propose a novel graph-based fraud detection framework deployed on J作者: Diverticulitis 時間: 2025-3-29 23:27
Apache Cassandra: An Introductionocessing can be achieved, however, the product will further springback. Due to the complex structure of BMT and the high cost of dataset acquisition, the existing methods based on mechanism research and machine learning cannot meet the engineering requirements of springback prediction. Based on the 作者: Reclaim 時間: 2025-3-30 01:52
Introduction to the?Cassandra Query Languageual labour. However, the SIs may suffer quality degradations in the procedure of acquisition, compression, and transmission, which makes IVSS hard to understand the content of SIs. In this paper, we first conduct an example experiment (i.e. the face detection task) to demonstrate that the quality of作者: 沒有貧窮 時間: 2025-3-30 06:35 作者: 存在主義 時間: 2025-3-30 10:32 作者: GRATE 時間: 2025-3-30 13:33
Implementing Remote Data Portal Hosts,x relationship between students and exercises. Benefiting from big data, deep learning show advantages in cognitive diagnosis tasks. However, the general deep learning-based methods are sensitive to noise, and response bias is an inevitable problem in real-world situations. To address this challenge作者: Paleontology 時間: 2025-3-30 19:31
Implementing Remote Data Portal Hosts,ss, which may make the acquired relative position/attitude parameters unstable or even odd (not unique), and there is a ‘blind area’ of vision measurement in the UAV rollout stage, which loses the navigation ability and seriously affects the safety of landing. In this paper, an autonomous landing na作者: 食品室 時間: 2025-3-30 22:57 作者: construct 時間: 2025-3-31 03:22 作者: Amenable 時間: 2025-3-31 08:32 作者: myelography 時間: 2025-3-31 11:46
https://doi.org/10.1007/978-3-031-20500-2Machine Learning; Data Mining; Computer Vision; Explainability of AI; Understandability of AI; computer n作者: 小步舞 時間: 2025-3-31 14:18
978-3-031-20499-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: visual-cortex 時間: 2025-3-31 19:52
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162072.jpg作者: 吞噬 時間: 2025-4-1 01:38
Saliency Map-Based Local White-Box Adversarial Attack Against Deep Neural Networksperceptible perturbations to clean examples. Adversarial examples will mislead deep learning (DL) model to make wrong predictions. At present, many existing white-box attack methods in the image field are mainly based on the global gradient of the model. That is, the global gradient is first calcula作者: 形容詞詞尾 時間: 2025-4-1 05:36 作者: Minutes 時間: 2025-4-1 08:30
Browsing Behavioral Intent Prediction on?Product Recommendation Pages of?E-commerce Platformoral intent. Nowadays, the Product Recommendation Page (PRP) has played an increasingly significant role of e-commerce platforms with the popularity of recommendation systems. However, past research on predicting user behavioral intent across e-commerce platforms may not be applicable to PRPs, where作者: Axon895 時間: 2025-4-1 11:46
An Optical Satellite Controller Based on?Diffractive Deep Neural Network variety of deep-neural-network (DNN) methods have been proposed to solve the problem, they are energy-consuming and computationally consuming, which limits their on-board deployments. In this work, we proposed a kind of diffractive-deep-neural-network-based optical satellite controller, and transfo作者: Preserve 時間: 2025-4-1 14:27
Incomplete Cigarette Code Recognition via?Unified SPA Features and?Graph Space Constraintsribution. Unfortunately, the recognition task for incomplete cigarette code often suffers from lowered recognition accuracy and the destruction of semantic context due to complex backgrounds and damaged characters. This paper proposes an end-to-end recognition network for incomplete cigarette code t作者: 平常 時間: 2025-4-1 22:22
A Large-Scale Tobacco 3D Bin Packing Model Based on?Dual-Task Learning of?Group Blocks Dual-Task Learning of Group Blocks (GB-DTL). According to the Tobacco orders and vehicle information, the group block algorithm generates the group block set of the order. GB-DTL divides tobacco cargo packing into two tasks. The first task selects the next placed group block according to the hidden作者: NOVA 時間: 2025-4-2 02:33
