作者: SNEER 時間: 2025-3-21 22:43 作者: concentrate 時間: 2025-3-22 00:30
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/865632.jpg作者: 不開心 時間: 2025-3-22 07:14
https://doi.org/10.1007/978-3-031-48424-7artificial intelligence; communication systems; databases; data communication systems; distributed compu作者: FEAS 時間: 2025-3-22 11:17
On the?Nature of?Data in?RPA Botsbutes to the automation. This paper explores the role of data in RPA, extends the ontology of RPA operations by data aspects, and proposes a visualization of data in RPA bot models, promoting the design of more comprehensible RPA bot services and enabling different bot analysis techniques.作者: impaction 時間: 2025-3-22 16:50 作者: CLASH 時間: 2025-3-22 17:16
Detecting Changes in?Crowdsourced Social Media Imagesed in a way that it reflects the extent of changes introduced in different versions. Afterwards, we find semantic differences in between different versions to determine the extent of changes introduced in a specific version. Preliminary experimental results demonstrate the effectiveness of the proposed approach.作者: 一致性 時間: 2025-3-23 01:03
Conference proceedings 2023ting-edge topics like artificial intelligence, machine learning, big data analytics, the Internet of Things (IoT), and emerging technologies such as quantum computing, blockchain, chatbots, and sustainable green IT solutions..作者: Armory 時間: 2025-3-23 03:11 作者: craving 時間: 2025-3-23 08:41
0302-9743 1, 2023..The 35 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 208 submissions. The volumes focus on cutting-edge topics like artificial intelligence, machine learning, big data analytics, the Internet of Things (IoT), and emerging technologies作者: Observe 時間: 2025-3-23 13:33
Data-Driven Generation of?Services for?IoT-Based Online Activity Detectiond a software architecture to execute these services. Our proof-of-concept implementation is based on an extensible complex event processing platform enabling the online detection of activities from IoT data. We use a running example from smart manufacturing to showcase the framework.作者: 公司 時間: 2025-3-23 15:07 作者: modish 時間: 2025-3-23 18:29
LoVizQL: A Query Language for?Visualizing and?Analyzing Business Processes from?Event Logsiscover, analyze, and optimize business processes. Process mining tools offer many functionalities such as data filtering, process discovery, process visualization, or conformance checking. Process visualization is generally based on Directly-Follows Graphs (DFGs), where each node represents an acti作者: invade 時間: 2025-3-23 23:48
On the?Nature of?Data in?RPA Botsare based on graphical notations, data, a key component of RPA, is often not explicitly represented, making it difficult to understand how data contributes to the automation. This paper explores the role of data in RPA, extends the ontology of RPA operations by data aspects, and proposes a visualiza作者: licence 時間: 2025-3-24 03:49
Remaining Time Prediction for?Collaborative Business Processes with?Privacy Preservationivities. This makes it challenging to predict remaining time without access to data on completed activities of other organizations. To address this challenge, this research proposes a strategy for predicting remaining time in collaborative business processes, which involve sequential sub-processes e作者: BOLUS 時間: 2025-3-24 07:59 作者: 內(nèi)部 時間: 2025-3-24 13:12 作者: 顧客 時間: 2025-3-24 18:09 作者: 健談的人 時間: 2025-3-24 21:00
Observation Is Reality? A?Graph Diffusion-Based Approach for?Service Tags Recommendatione tags recommendation studies fail to consider real-world scenarios, greatly limiting their performance and capability of handling complex situations. First, the simplification of service tags recommendation to single-tag classification or clustering overlooks the complexity and diversity of crossov作者: 挫敗 時間: 2025-3-25 02:02 作者: FLAIL 時間: 2025-3-25 03:35 作者: 提煉 時間: 2025-3-25 07:37 作者: 槍支 時間: 2025-3-25 14:36
Context-Aware Service Delegation for?Opportunistic Pervasive ComputingContinuum are based on the concept of running services closer to users, even on their own devices. Nonetheless, running collaborative services on these devices requires attention to constraints that differentiate the devices from cloud servers, such as limited battery or constrained data plans. New 作者: Chemotherapy 時間: 2025-3-25 16:23 作者: 用不完 時間: 2025-3-25 22:27
Data-Driven Generation of?Services for?IoT-Based Online Activity Detectionworld. Process mining is a mature discipline for analyzing business process executions from digital traces recorded by information systems. In typical IoT environments there is no central information system available to create homogeneous execution traces. Instead, many distributed devices including作者: 挖掘 時間: 2025-3-26 02:02
Detecting Changes in?Crowdsourced Social Media Imagesimages as .. . of an image service are leveraged to detect changes in an image. The changes are reported in form of a .. The version tree is constructed in a way that it reflects the extent of changes introduced in different versions. Afterwards, we find semantic differences in between different ver作者: larder 時間: 2025-3-26 06:08 作者: SENT 時間: 2025-3-26 11:50
Conference proceedings 2023The 35 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 208 submissions. The volumes focus on cutting-edge topics like artificial intelligence, machine learning, big data analytics, the Internet of Things (IoT), and emerging technologies such as q作者: 僵硬 時間: 2025-3-26 16:19 作者: 使饑餓 時間: 2025-3-26 20:00
Context-Aware Service Delegation for?Opportunistic Pervasive Computingine . (PODS), a framework to opportunistically select the best candidate to run a service from among those in a local network, as well as to delegate it to others whenever the contextual circumstances change.作者: GLOOM 時間: 2025-3-27 00:03
Artifact-Driven Process Monitoring at?Scale, each of which can monitor only one execution of the process. Thus, monitoring multiple executions at the same time, or reducing the computational requirements of edge devices is not possible. In this paper, we introduce a new artifact-driven monitoring platform that overcomes these limitations and makes artifact-driven monitoring fully scalable.作者: 杠桿支點 時間: 2025-3-27 04:17
Uncovering Implicit Bundling Constraints: Empowering Cloud Network Service Discovery service discovery solutions that can identify and reveal such hidden bundling to cloud users so they become aware of the consequences of existing bundling before any deployment stage. This paper presents a new NSs discovery approach that takes into account and makes transparent network services bundling for cloud users.作者: Lamina 時間: 2025-3-27 05:25 作者: irreparable 時間: 2025-3-27 12:12 作者: Negligible 時間: 2025-3-27 17:08
TCTV: Trace Clustering Considering Intra- and Inter-cluster Similarity Based on?Trace Variants event log, and the k-nearest neighbor graph is constructed based on all trace variants; (2) the graph would be partitioned into the initial sub-clusters by applying the coarsening and partitioning operations; (3) we dynamically merge two sub-clusters in the hierarchical clustering process with the 作者: 索賠 時間: 2025-3-27 17:54 作者: 象形文字 時間: 2025-3-27 22:15
Observation Is Reality? A?Graph Diffusion-Based Approach for?Service Tags Recommendationnsiders both the textual description of services and explicit relationships between services or their tags to enhance performance. Moreover, considering that the observed explicit graph may not be reality and not optimal for downstream tasks, SpiderTags introduces a graph diffusion mechanism to sear作者: glans-penis 時間: 2025-3-28 02:31 作者: tolerance 時間: 2025-3-28 07:35
CET-AoTM: Cloud-Edge-Terminal Collaborative Trust Evaluation Scheme for?AIoT Networksrience attribute of smart terminals in AIoT and evaluates their credibility by leveraging the collaborative architecture of cloud-edge-terminal. In order to solve the challenge that a large number of new smart terminals lack historical interaction due to the high dynamic nature of AIoT, CET-AoTM eva作者: enterprise 時間: 2025-3-28 11:19 作者: 拉開這車床 時間: 2025-3-28 16:45
Jun Na,Handuo Zhang,Ouwen Zhu,Weiye Xie,Bin Zhang,Changsheng Zhangummarized.?.A historical curriculum vitae is included in memory of the main pioneer of innovative MIN techniques, Prof. Axel Perneczky, to whom this book is dedicated..978-3-030-46513-1Series ISSN 2662-7205 Series E-ISSN 2662-7213 作者: BUST 時間: 2025-3-28 19:46 作者: Increment 時間: 2025-3-29 01:11
Muhammad Umair,Athman Bouguettaya,Abdallah Lakhdari Plastination gallery of chapter 6 the best head-plastinates and sheet-plastinates of head and brain complete the volume. Many of the specimen have been shown a978-3-030-90631-3978-3-030-90629-0Series ISSN 2662-7205 Series E-ISSN 2662-7213 作者: 眨眼 時間: 2025-3-29 04:15
María Salas-Urbano,Carlos Capitán-Agudo,Cristina Cabanillas,Manuel Resinas作者: 吞吞吐吐 時間: 2025-3-29 08:12 作者: 止痛藥 時間: 2025-3-29 14:58
Yang Gu,Jian Cao,Jinghua Tang,Shiyou Qian,Wei Guan作者: 不要不誠實 時間: 2025-3-29 19:15 作者: Ambulatory 時間: 2025-3-29 20:22 作者: Infiltrate 時間: 2025-3-30 01:44 作者: 價值在貶值 時間: 2025-3-30 06:03
Juan Luis Herrera,Hsiao-Yuan Chen,Javier Berrocal,Juan M. Murillo,Christine Julien作者: 不法行為 時間: 2025-3-30 10:31 作者: 下垂 時間: 2025-3-30 15:35 作者: 先兆 時間: 2025-3-30 17:35 作者: agglomerate 時間: 2025-3-30 21:42
