標(biāo)題: Titlebook: Quality, Reliability, Security and Robustness in Heterogeneous Systems; 19th EAI Internation Victor C.M. Leung,Hezhang Li,Zhaolong Ning Con [打印本頁(yè)] 作者: 切口 時(shí)間: 2025-3-21 17:21
書目名稱Quality, Reliability, Security and Robustness in Heterogeneous Systems影響因子(影響力)
書目名稱Quality, Reliability, Security and Robustness in Heterogeneous Systems影響因子(影響力)學(xué)科排名
書目名稱Quality, Reliability, Security and Robustness in Heterogeneous Systems網(wǎng)絡(luò)公開度
書目名稱Quality, Reliability, Security and Robustness in Heterogeneous Systems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Quality, Reliability, Security and Robustness in Heterogeneous Systems被引頻次
書目名稱Quality, Reliability, Security and Robustness in Heterogeneous Systems被引頻次學(xué)科排名
書目名稱Quality, Reliability, Security and Robustness in Heterogeneous Systems年度引用
書目名稱Quality, Reliability, Security and Robustness in Heterogeneous Systems年度引用學(xué)科排名
書目名稱Quality, Reliability, Security and Robustness in Heterogeneous Systems讀者反饋
書目名稱Quality, Reliability, Security and Robustness in Heterogeneous Systems讀者反饋學(xué)科排名
作者: 最低點(diǎn) 時(shí)間: 2025-3-21 22:22
Quality, Reliability, Security and Robustness in Heterogeneous Systems978-3-031-65126-7Series ISSN 1867-8211 Series E-ISSN 1867-822X 作者: 開玩笑 時(shí)間: 2025-3-22 03:32
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engihttp://image.papertrans.cn/q/image/780406.jpg作者: inhibit 時(shí)間: 2025-3-22 04:59 作者: Scleroderma 時(shí)間: 2025-3-22 11:25
1867-8211 y and Privacy;?Quality of Service (QoS) and Quality of Experience (QoE);?Artificial Intelligence and Machine Learning II; Autonomous Vehicles..978-3-031-65125-0978-3-031-65126-7Series ISSN 1867-8211 Series E-ISSN 1867-822X 作者: 男生如果明白 時(shí)間: 2025-3-22 12:52 作者: 拱墻 時(shí)間: 2025-3-22 18:48 作者: 就職 時(shí)間: 2025-3-22 22:23
Identification of?Economic Factors for?Mass Depression Based on?Panel Study and?Machine Learning economic indicators and mental disorders. This article is aimed to analyze the relationship between economic factors and the level of mass depression based on a panel study and machine learning methods. Experimental results based on panel study and machine learning demonstrate effectiveness of our proposed econometric model.作者: Creatinine-Test 時(shí)間: 2025-3-23 03:28
Design and Implementation of Traffic Flow Prediction Model Based on Short and Long Time Memory Netwodel obtains the minimum average absolute percentage error MAPE value of 10.6% and the highest average accuracy of 89.4%, which has a good prediction effect and can improve the prediction work of short-term traffic flow.作者: Solace 時(shí)間: 2025-3-23 09:08 作者: Congeal 時(shí)間: 2025-3-23 10:49 作者: Aids209 時(shí)間: 2025-3-23 14:32 作者: NOT 時(shí)間: 2025-3-23 18:25
Automatic Depression Detection Using Attention-Based Deep Multiple Instance Learning for depression lead to a significant number of depressed patients without accurate diagnosis and subsequent serious consequences. With the rise of social media, previous studies have found that the information of depressed patients on social media can be analyzed to automatically detect depression 作者: subacute 時(shí)間: 2025-3-24 00:04
Analysis of?Factors Related to?Anxiety and?Depression in?Medical Studentshold the potential to shape the future of societal progress, with medical students shouldering a crucial responsibility for the development of overall community health. However, many medical students are susceptible to psychological disorders such as anxiety and depression due to high levels of stre作者: compassion 時(shí)間: 2025-3-24 05:03
Structural Health Monitoring of Carbon Fiber Composite Lamination Using Electrical Resistanceensing of the carbon fibers. However, due to the high stiffness and brittleness of the composite material, damage often occurs instantaneously. It is difficult to monitor damage patterns and control damage through factors such as fiber type variables and displacement relationships. This is why monit作者: Exclude 時(shí)間: 2025-3-24 09:34 作者: OASIS 時(shí)間: 2025-3-24 12:35 作者: 消滅 時(shí)間: 2025-3-24 16:50 作者: IDEAS 時(shí)間: 2025-3-24 22:32 作者: 招人嫉妒 時(shí)間: 2025-3-25 01:25
Research on Traffic Sign Image Recognition Algorithms Under Complex Weather Conditionsof both people and equipment is greatly affected in foggy weather, leading to the emergence of foggy image processing. We analyzed the recognition requirements of traffic signs in foggy weather and conducted research on algorithms for removing fog from foggy images and extracting image edges. This t作者: Flat-Feet 時(shí)間: 2025-3-25 03:59
Deep Neural Network Based on Sparse Auto-Encoder for Road Extractionon, this paper proposes supervised model that combines Convolutional Neural Network (CNN) with Sparse Auto-Encoder (SAE) to cope with the road extraction task. First, the road features are extracted from the amount of non-annotated data using SAE model that aim to train the road features using CNN p作者: ANNUL 時(shí)間: 2025-3-25 09:37
DECS: A Decentralized and?Efficient Cross-Chain Scheme in?IoT Systemt of the Internet of Things (IoT). However, the sheer number and diversity of IoT devices pose significant challenges to the scalability and security of blockchain systems. To address these issues, cross-chain technology has emerged as a promising solution. Nevertheless, existing cross-chain solutio作者: ILEUM 時(shí)間: 2025-3-25 15:17
Artificial Intelligence Model Based Security Protection Method for?IoT Applications, where it is challenging to protect the privacy of the underlying AI models. In this paper, we propose a security protection RC6-plus algorithm based on cryptography and access control for AI model security in IoT applications. Specifically, the proposed method effectively protects the privacy of c作者: WAG 時(shí)間: 2025-3-25 19:39 作者: 裝勇敢地做 時(shí)間: 2025-3-25 20:36 作者: 反叛者 時(shí)間: 2025-3-26 04:00 作者: FIG 時(shí)間: 2025-3-26 07:34
Review of?Sleep Monitoring Research Based on?Wireless Sensorarized the existing sleep monitoring methods based on WiFi sensors and wireless radar and made a comparison. The conclusion shows that the two kinds of methods have advantages and disadvantages, so the development of complementary methods is very promising for sleep monitoring.作者: Middle-Ear 時(shí)間: 2025-3-26 09:41 作者: 毛細(xì)血管 時(shí)間: 2025-3-26 14:20 作者: diskitis 時(shí)間: 2025-3-26 18:22
1867-8211 nd Robustness in Heterogeneous Networks, QShine 2023, held in October 2023...The 78 full papers included in these proceedings were carefully reviewed and selected from 200 submissions. They are organized in these topical sections:?..Part I:??E-Health networks;? transportation networks; reliability a作者: 神圣將軍 時(shí)間: 2025-3-27 00:35
Optimal Design of Hydraulic Fracturing Simulation Experiments for In-Situ Stress Measurementd injection rate, respectively) and to determine the corresponding rock fracturing value (.). This indicates a good distribution uniformity of experimental points. Additionally, this study validated the efficiency and suitability of the experimental method in establishing a fracture pressure correct作者: concubine 時(shí)間: 2025-3-27 04:26
Sentiment Analysis Based on?Social Media - Early Stress and?Depression Detectionttention mechanisms. In the context of user information, we extract relevant details and directly incorporate them into a deep learning model based on bidirectional GRU (Gated Recurrent Unit) and MLP (Multi-Layer Perceptron). Concurrently, to address the challenge of imbalanced depression datasets, 作者: lipoatrophy 時(shí)間: 2025-3-27 08:58
Automatic Depression Detection Using Attention-Based Deep Multiple Instance Learningle is used to process a fixed-length visual and vocal segments to extract temporal representations of instances, and the AD-MIL module is used to aggregate the obtained temporal representations for individual subject predictions. Compared with current benchmarks, our experiments demonstrate that our作者: 察覺 時(shí)間: 2025-3-27 10:18
Analysis of?Factors Related to?Anxiety and?Depression in?Medical Studentsubgroups have a higher prevalence of anxiety or depression. Employing statistical analysis, the relationships between various factors and the occurrence of psychological disorders are examined. Through differential analysis, factors with a stronger correlation to psychological disorders are identifi作者: 去掉 時(shí)間: 2025-3-27 16:05
Structural Health Monitoring of Carbon Fiber Composite Lamination Using Electrical Resistanceto the monitoring of large planar materials, as well as to applications in important areas such as aerospace. In making further comparisons, it can be seen that the 5?mm thin layer of carbon fiber is more sensitive in the process of self-sensing, while the change in resistance is more noticeable whe作者: 形上升才刺激 時(shí)間: 2025-3-27 21:07 作者: 終止 時(shí)間: 2025-3-28 01:33 作者: impale 時(shí)間: 2025-3-28 03:54
DECS: A Decentralized and?Efficient Cross-Chain Scheme in?IoT Systemross-chain data signatures across multiple chains, which leads to a reduced storage burden on the blockchain. Furthermore, we introduce a reputation update algorithm that leverages network latency and cross-chain operation metrics to automatically update node reputation scores via smart contracts. E作者: 誘拐 時(shí)間: 2025-3-28 08:17
Extraction of Frequently Active Areas of Ships Based on Advanced Grid Density Peak Clusteringty areas to obtain multi-temporal and spatial granularity ship frequent activity areas. Experimental results show that this method can extract frequent motion are-as more accurately than traditional methods, and better reflect the ship’s navigation rules.作者: CON 時(shí)間: 2025-3-28 11:43 作者: 入會(huì) 時(shí)間: 2025-3-28 14:58
Quality, Reliability, Security and Robustness in Heterogeneous Systems19th EAI Internation作者: HUMID 時(shí)間: 2025-3-28 20:50 作者: BORE 時(shí)間: 2025-3-29 00:37
Lanke Zhu,Xinyue Ma,Rui Zhang,Jianbo Zhengiated with the development of interactive systems (e.g., ethical policy analysis). We contextualize this approach by comparing two different kinds of choice architecture strategies—nudging and strategies that promote representative understanding. Based on these analyses, we offer a heuristic checkli作者: Bph773 時(shí)間: 2025-3-29 04:20
Yang Li,Daji Zhang,Yimin Liuure and nudges). The main goal in this book is to provide a theoretical framework for understanding variation in fundamental philosophical intuitions and how that variation informs ethical interaction theory...This is an open access book..978-3-031-61937-3978-3-031-61935-9作者: 表否定 時(shí)間: 2025-3-29 07:24 作者: 令人悲傷 時(shí)間: 2025-3-29 13:36 作者: Thrombolysis 時(shí)間: 2025-3-29 16:59
Zheng Jinfang,Pan Jiachen,Zhang Peiyi,Xiao Yi,Wang Weireduced by combining the online and offline recognizers and the False Positive rate is reduced by rejecting low recognition scores. Even with the current system, human scorers only need to manually score less than 30% of the answers, with false positive (risky) scores of about 2% or less for the thr作者: 思考 時(shí)間: 2025-3-29 22:21 作者: 使饑餓 時(shí)間: 2025-3-30 03:24 作者: FLAGR 時(shí)間: 2025-3-30 05:36 作者: LATHE 時(shí)間: 2025-3-30 12:12
Yazhen Zhu,Jian Chen,Yuwei Sun,Wei Wangbeled all text-line images for the HHD-Ethiopic dataset, and an expert supervisor double-checked them. We assessed human-level recognition performance and compared it with state-of-the-art (SOTA) OCR models using the Character Error Rate (CER) and Normalized Edit Distance (NED) metrics. Our results 作者: outskirts 時(shí)間: 2025-3-30 14:00 作者: ineluctable 時(shí)間: 2025-3-30 16:55 作者: chemical-peel 時(shí)間: 2025-3-30 23:25 作者: 出生 時(shí)間: 2025-3-31 04:43
Sheng Liu,Shuxiao Chang,Ting Cao,Xinyue Liements and then ablating these elements to assign feature importance. We extensively evaluate our proposed approach in the context of document image classification, utilizing 4 different evaluation metrics, 2 widely recognized document benchmark datasets, and 10 state-of-the-art document image class作者: 青春期 時(shí)間: 2025-3-31 08:09 作者: Glutinous 時(shí)間: 2025-3-31 11:30 作者: 親愛 時(shí)間: 2025-3-31 14:35 作者: Thyroid-Gland 時(shí)間: 2025-3-31 19:11
Zi-Sheng Zhou,Ming Cai,Zhuo-Lin Deng,Chen Xiongn and recognition using the same backbone, with the detection branch based on multiple deep layers and the recognition branch based on multiple shallow layers, thereby constructing an end-to-end detection and recognition network. Comparative experiments on CCPD and RodoSol datasets validate that our
