找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Cooperative Information Systems; 29th International C Mohamed Sellami,Maria-Esther Vidal,Hervé Panetto Conference proceedings 2024 The Edit

[復(fù)制鏈接]
樓主: 摩擦
11#
發(fā)表于 2025-3-23 11:51:11 | 只看該作者
LABPMN: Location-Aware Business Process Modeling and Notationvertheless, many approaches for the use of location data only exist as concepts, and most existing extensions for BPMN do not fully use the potential gained through IoT..In this paper, we introduce a novel BPMN Extension for location awareness that is, conceptually well-defined and adheres to the BP
12#
發(fā)表于 2025-3-23 14:43:05 | 只看該作者
On the?Semantic Transparency of?Declarative Process Models: The Case of?Constraints knowledge-intensive processes, notations that allow flexible orchestration of activities are crucial for supporting discretionary work. Declarative Process Modeling notations allow describing the interplay between the process activities with constraints that need to be met, without specifying how t
13#
發(fā)表于 2025-3-23 20:42:03 | 只看該作者
14#
發(fā)表于 2025-3-23 22:39:05 | 只看該作者
Discovery of?Workflow Patterns - A Comparison of?Process Discovery Algorithmss discovery aims at deducing a representative process model of real-world execution. So far, process discovery algorithms have been mainly compared regarding their output quality but not yet with regard to their functional capabilities. The well-established workflow control flow patterns imperativel
15#
發(fā)表于 2025-3-24 02:30:51 | 只看該作者
16#
發(fā)表于 2025-3-24 07:25:45 | 只看該作者
Adaptive Multi-agent System for?Dynamic Clustering Applied to?Itineraries Regularities and?Traffic P autonomously. This work presents AMAS4DC a generic Dynamic Clustering model based on Adaptive Multi-Agent System approach. AMAS4DC processes acquired data on the fly using local similarity evaluation for cluster’s creation or fusion. AMAS4DC is then instantiated on two use cases: the dynamic cluste
17#
發(fā)表于 2025-3-24 12:42:44 | 只看該作者
Double Deep Q-Network-Based Time and?Energy-Efficient Mobility-Aware Workflow Migration Approachst formulated as a Markov Decision Process (MDP), and then a Double Deep Q-network (DDQN) algorithm is proposed to identify the optimal policy for workflow offloading and migration. Comprehensive experiments have been conducted and the results demonstrate that our approach outperforms significantly
18#
發(fā)表于 2025-3-24 17:17:57 | 只看該作者
Decentralized and?Autonomous Key Management for?Open Multi-agent Systems of?Embedded Agentsheir right to take part in the system operations with certificates and to secure their communications with asymmetric cryptography. As a result, agents can communicate securely without the risk of their identities being stolen and their communications being tampered with. They are also being able to
19#
發(fā)表于 2025-3-24 21:02:08 | 只看該作者
20#
發(fā)表于 2025-3-25 01:20:08 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-17 01:02
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
屏东市| 城固县| 沙坪坝区| 海原县| 和硕县| 铁力市| 和田县| 日喀则市| 侯马市| 奉节县| 桓台县| 来安县| 讷河市| 商南县| 霞浦县| 教育| 清丰县| SHOW| 阿拉尔市| 韶关市| 张掖市| 宝应县| 筠连县| 黄骅市| 莱西市| 贵港市| 马关县| 深水埗区| 长兴县| 茶陵县| 娄底市| 灵山县| 芜湖县| 岱山县| 东丽区| 从江县| 博爱县| 句容市| 遵义市| 宁波市| 白银市|