標(biāo)題: Titlebook: Big Data Technologies and Applications; 13th EAI Internation Zhiyuan Tan,Yulei Wu,Min Xu Conference proceedings 2024 ICST Institute for Com [打印本頁] 作者: legerdemain 時間: 2025-3-21 19:35
書目名稱Big Data Technologies and Applications影響因子(影響力)
書目名稱Big Data Technologies and Applications影響因子(影響力)學(xué)科排名
書目名稱Big Data Technologies and Applications網(wǎng)絡(luò)公開度
書目名稱Big Data Technologies and Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Data Technologies and Applications被引頻次
書目名稱Big Data Technologies and Applications被引頻次學(xué)科排名
書目名稱Big Data Technologies and Applications年度引用
書目名稱Big Data Technologies and Applications年度引用學(xué)科排名
書目名稱Big Data Technologies and Applications讀者反饋
書目名稱Big Data Technologies and Applications讀者反饋學(xué)科排名
作者: 不法行為 時間: 2025-3-21 23:39
Can Federated Models Be Rectified Through Learning Negative Gradients?e clients. However, FL is vulnerable to malicious attacks, such as poisoning attacks, and is challenged by the GDPR’s “right to be forgotten”. This paper introduces a negative gradient-based machine learning technique to address these issues. Experiments on the MNIST dataset show that subtracting lo作者: 披肩 時間: 2025-3-22 00:48 作者: erythema 時間: 2025-3-22 05:08
STLGCN: Spatial-Temporal Graph Convolutional Network for?Long Term Traffic Forecasting reasonable travel plans. Current mainstream traffic forecasting models are developed based on spatial-temporal graph convolutional neural networks, in which appropriate graph structures must be generated in advance. However, most existing graph generation approaches learn graph structures based on 作者: 制度 時間: 2025-3-22 10:14 作者: 甜得發(fā)膩 時間: 2025-3-22 15:31
Revocable Attribute-Based Encryption Scheme with?Cryptographic Reverse Firewallss become a viable option to tackle this problem. Using a set of attributes, data owners can encrypt data with ABE, and data is only accessible by users with the required attributes and authorization. However, there are various limitations associated with the traditional CP-ABE scheme, such as embedd作者: 健壯 時間: 2025-3-22 20:50 作者: Dysarthria 時間: 2025-3-22 23:38
A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Eviten prone to security and integrity issues. In recent years, the use of blockchain technology has emerged as a promising solution to enhance the security, transparency, and integrity of digital evidence. This systematic review critically evaluates the current state of research on blockchain-based ch作者: inventory 時間: 2025-3-23 03:21
Forest Fire Prediction Using Multi-Source Deep Learningydrometric and weather) in the probability prediction of forest fires using deep learning. The results showed that the weather model had the best predictive power (average .). The lightning model had an average ., while the hydrometric model had an average .. The single-source models were then merge作者: MOTTO 時間: 2025-3-23 08:15
Research on Preprocessing Process for Improved Image Generation Based on Contrast Enhancement information about the object‘s shape and size. These phenomena also decrease the quality of image data, with outdoor quality being significantly lower than indoor quality. As deep learning-based object recognition algorithms heavily rely on image quality, a preprocessing process is required to impr作者: 縮短 時間: 2025-3-23 09:49
An Auditable Framework for Evidence Sharing and Management Using Smart Lockers and Distributed Techn File System (IPFS). The system incorporates Hyperledger Fabric blockchain for immutability and tamper-proof record keeping and employs cryptographic measures to protect the confidentiality of shared and stored evidence. IPFS is employed for secure and efficient storage of digital evidence, while sm作者: Commission 時間: 2025-3-23 15:37
A Review of?the?Non-Fungible Tokens (NFT): Challenges and?Opportunities NFTs have the potential to hugely influence both the decentralised markets that exist now and the commercial possibilities that will arise in the future. While there is a wealth of information about NFTs accessible, NFTs are still in an early stage, and some potential obstacles need to be properly 作者: 矛盾心理 時間: 2025-3-23 22:04
Research on Preprocessing Process for Improved Image Generation Based on Contrast Enhancementove the quality of learning image data and achieve high performance. To address this, the paper proposes a contrast-enhanced image generation preprocessing process that can improve image quality and mitigate the effects of poor lighting conditions.作者: CLAIM 時間: 2025-3-24 01:37
Conference proceedings 20242023, held in Edinburgh, United Kingdom, in August 2023.. The 8 full papers and 3 short papers of BDTA 2023 were selected from 23 submissions and present new advances and research results in the fields of big data technologies, collection and storage, big data management and retrieval, big data mini作者: Endoscope 時間: 2025-3-24 04:46 作者: Allodynia 時間: 2025-3-24 08:32 作者: Opponent 時間: 2025-3-24 12:42 作者: 地殼 時間: 2025-3-24 16:35
Forest Fire Prediction Using Multi-Source Deep Learningdel was 0.856. The results showed that the multi-source model performed similarly to the best-performing single-source model (weather) with a 60% reduction in training data. The multi-source model had a negligible impact from the poor-performing single-source model (hydrometric).作者: 令人不快 時間: 2025-3-24 22:55 作者: dysphagia 時間: 2025-3-25 03:10
1867-8211 s and present new advances and research results in the fields of big data technologies, collection and storage, big data management and retrieval, big data mining and approaches.978-3-031-52264-2978-3-031-52265-9Series ISSN 1867-8211 Series E-ISSN 1867-822X 作者: Insufficient 時間: 2025-3-25 06:20
Modelling three-dimensional objects,ove the quality of learning image data and achieve high performance. To address this, the paper proposes a contrast-enhanced image generation preprocessing process that can improve image quality and mitigate the effects of poor lighting conditions.作者: 出價 時間: 2025-3-25 07:33 作者: 娘娘腔 時間: 2025-3-25 12:34
https://doi.org/10.1007/978-1-84628-848-7rcome to use NFT technology from the points of view of security, confidentiality, ownership, administration and property ownership. By doing so, we want to bring attention to these concerns since they have been noticed. Additionally, we go over some of the solutions that can be put into action to avoid some of the challenges that may appear.作者: NOTCH 時間: 2025-3-25 19:53
Can Federated Models Be Rectified Through Learning Negative Gradients?. This impact on performance is acceptable for an FL model. It is important to note that the experimental work carried out demonstrates that in application areas where data deletion in ML is a necessity, this approach represents a significant advancement in the development of secure and robust FL systems.作者: saphenous-vein 時間: 2025-3-25 21:36
A Review of?the?Non-Fungible Tokens (NFT): Challenges and?Opportunitiesrcome to use NFT technology from the points of view of security, confidentiality, ownership, administration and property ownership. By doing so, we want to bring attention to these concerns since they have been noticed. Additionally, we go over some of the solutions that can be put into action to avoid some of the challenges that may appear.作者: 種類 時間: 2025-3-26 00:16 作者: subacute 時間: 2025-3-26 05:27 作者: 數(shù)量 時間: 2025-3-26 09:06 作者: calorie 時間: 2025-3-26 15:24 作者: 抱負(fù) 時間: 2025-3-26 17:15 作者: 獎牌 時間: 2025-3-27 00:21
Modelling three-dimensional objects,e trust and historical confidence people have in the integrity of imagery. Deep learning is often used for the detection of forged digital images through the classification of images as original or forged. Despite many advantages of deep learning algorithms to predict fake images such as automatic f作者: languor 時間: 2025-3-27 03:38 作者: Chronological 時間: 2025-3-27 08:40
Special effects and virtual reality, the Internet of Things (IoT) has emerged as an efficient technology. This technology makes things easier, safer, and more productive for us all. These nodes are often resource-constrained because of their involvement in a huge network of heterogeneous devices, making them the weakest link in the ch作者: conservative 時間: 2025-3-27 12:06
https://doi.org/10.1007/978-1-84628-848-7ten prone to security and integrity issues. In recent years, the use of blockchain technology has emerged as a promising solution to enhance the security, transparency, and integrity of digital evidence. This systematic review critically evaluates the current state of research on blockchain-based ch作者: NUL 時間: 2025-3-27 15:24
Modelling three-dimensional objects,ydrometric and weather) in the probability prediction of forest fires using deep learning. The results showed that the weather model had the best predictive power (average .). The lightning model had an average ., while the hydrometric model had an average .. The single-source models were then merge作者: Neonatal 時間: 2025-3-27 18:53
Modelling three-dimensional objects, information about the object‘s shape and size. These phenomena also decrease the quality of image data, with outdoor quality being significantly lower than indoor quality. As deep learning-based object recognition algorithms heavily rely on image quality, a preprocessing process is required to impr作者: 制度 時間: 2025-3-27 22:02
https://doi.org/10.1007/978-1-84628-848-7 File System (IPFS). The system incorporates Hyperledger Fabric blockchain for immutability and tamper-proof record keeping and employs cryptographic measures to protect the confidentiality of shared and stored evidence. IPFS is employed for secure and efficient storage of digital evidence, while sm作者: 聰明 時間: 2025-3-28 05:55 作者: Agility 時間: 2025-3-28 07:34 作者: Accolade 時間: 2025-3-28 10:52 作者: 不適 時間: 2025-3-28 17:55
978-3-031-52264-2ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024作者: 數(shù)量 時間: 2025-3-28 20:25
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engihttp://image.papertrans.cn/b/image/185662.jpg作者: 反話 時間: 2025-3-28 23:22
CTL-I: Infrared Few-Shot Learning via?Omnidirectional Compatible Class-Incrementalures learned from the base class. Our empirical results demonstrate that our approach outperforms existing few-shot incremental learning methods on various benchmark datasets, even with extremely limited instances per class. Our work offers a promising direction for addressing the challenges of few-作者: prodrome 時間: 2025-3-29 03:49
BigText-QA: Question Answering over?a?Large-Scale Hybrid Knowledge Graphkground KB (such as YAGO or Wikidata), as well as an . providing highly diversified relational paraphrases with rich context information. Our experimental results demonstrate that BigText-QA outperforms DrQA, a neural-network-based QA system, and achieves competitive results to QUEST, a graph-based 作者: licence 時間: 2025-3-29 07:34
STLGCN: Spatial-Temporal Graph Convolutional Network for?Long Term Traffic Forecastingd filtering out the irrelevant ones, which significantly optimizes the process of spatial information aggregation. Extensive experimental results on two real public traffic datasets, METR-LA and PEMS-BAY, demonstrate the superior performance of our algorithm.作者: eucalyptus 時間: 2025-3-29 14:06
Image Forgery Detection Using Cryptography and?Deep Learninge of CNN algorithm on the hashing image dataset gives a prediction accuracy of 72.70% at 0.09?s. Furthermore, the result of CNN on the raw image dataset gives a prediction accuracy of 89.08% at 2?s. The result shows that although a higher prediction accuracy is obtained when the CNN algorithm is use作者: monologue 時間: 2025-3-29 19:39
Revocable Attribute-Based Encryption Scheme with?Cryptographic Reverse Firewalls leaking secret information. The CRF has been deployed in many cryptographic systems, but its application in the ABE field has been relatively limited. This paper presents a novel attribute-based encryption scheme which incorporates attribute revocation, hidden policy components, and CRF mechanism t作者: Constituent 時間: 2025-3-29 23:17 作者: 字形刻痕 時間: 2025-3-30 00:07 作者: 是比賽 時間: 2025-3-30 04:02
Karsten Lehn,Merijam Gotzes,Frank Klawonnures learned from the base class. Our empirical results demonstrate that our approach outperforms existing few-shot incremental learning methods on various benchmark datasets, even with extremely limited instances per class. Our work offers a promising direction for addressing the challenges of few-作者: Terminal 時間: 2025-3-30 10:16 作者: 終點(diǎn) 時間: 2025-3-30 12:59 作者: 制度 時間: 2025-3-30 19:31
