標題: Titlebook: Advances in Artificial Intelligence in Manufacturing; Proceedings of the 1 Achim Wagner,Kosmas Alexopoulos,Sotiris Makris Conference procee [打印本頁] 作者: antibody 時間: 2025-3-21 16:04
書目名稱Advances in Artificial Intelligence in Manufacturing影響因子(影響力)
書目名稱Advances in Artificial Intelligence in Manufacturing影響因子(影響力)學科排名
書目名稱Advances in Artificial Intelligence in Manufacturing網(wǎng)絡公開度
書目名稱Advances in Artificial Intelligence in Manufacturing網(wǎng)絡公開度學科排名
書目名稱Advances in Artificial Intelligence in Manufacturing被引頻次
書目名稱Advances in Artificial Intelligence in Manufacturing被引頻次學科排名
書目名稱Advances in Artificial Intelligence in Manufacturing年度引用
書目名稱Advances in Artificial Intelligence in Manufacturing年度引用學科排名
書目名稱Advances in Artificial Intelligence in Manufacturing讀者反饋
書目名稱Advances in Artificial Intelligence in Manufacturing讀者反饋學科排名
作者: instulate 時間: 2025-3-21 20:38 作者: 全國性 時間: 2025-3-22 03:34
On Bringing Fault Detection to Skill-Based Productionill model. Finally, the elaborated model is prototypically implemented in a realistic demonstration environment to come up with a proof of concept. Since it is difficult to directly model faulty behavior of Cyber-Physical Production Modules in flexible production their nominal behavior during the ex作者: Traumatic-Grief 時間: 2025-3-22 06:59
Towards an Advanced Artificial Intelligence Architecture Through Asset Administration Shell and Indu. The article also explores specific Artificial Intelligence technologies with a wide application in industrial environments. In particular, the study has focused on research into Low/No Code, Explainability (XAI) tools and incremental learning algorithms. The contributions of this paper are summari作者: 不給啤 時間: 2025-3-22 10:42
Detection of Rare Fault Cases for Mobile Robot Applicationsg special knowledge of the internal system behavior. The procedure was implemented and tested on a mobile robot for factory-internal transport processes. With little training data, a binary classification for elementary fault detection. The method can easily be adapted to other cases of dynamical sy作者: 執(zhí) 時間: 2025-3-22 14:20 作者: Vertical 時間: 2025-3-22 20:49
Enhancing Object Detection Performance for Small Objects Through Synthetic Data Generation and Propon. This paper discusses the effects of a simple proportional class-balancing technique, to enable better anchor matching of the OD models. A comparison was carried out on the performances of the SOTA OD models: YOLOv5, YOLOv7 and SSD, for combinations of real and synthetic datasets within an industr作者: 含鐵 時間: 2025-3-23 00:59 作者: 上流社會 時間: 2025-3-23 02:50 作者: 印第安人 時間: 2025-3-23 06:49
Use of Artificial Intelligence at the Level of Manufacturing Processesexamples from both conventional and non-conventional processes are considered, as well as focused illustrations of the possibilities that AI technologies can offer. In addition, the different manufacturing attributes, as guided by different strategies, are discussed in the context of the aforementio作者: intellect 時間: 2025-3-23 12:10
Advances in Artificial Intelligence in ManufacturingProceedings of the 1作者: 拖網(wǎng) 時間: 2025-3-23 17:53
2195-4356 ion of artificial intelligence in manufacturing systems and processes, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, software developers and industrial managers..978-3-031-57495-5978-3-031-57496-2Series ISSN 2195-4356 Series E-ISSN 2195-4364 作者: 拍翅 時間: 2025-3-23 19:39 作者: 疲憊的老馬 時間: 2025-3-24 00:26 作者: 宏偉 時間: 2025-3-24 03:47
Grundlagen der anorganischen Chemieill model. Finally, the elaborated model is prototypically implemented in a realistic demonstration environment to come up with a proof of concept. Since it is difficult to directly model faulty behavior of Cyber-Physical Production Modules in flexible production their nominal behavior during the ex作者: gratify 時間: 2025-3-24 06:31 作者: troponins 時間: 2025-3-24 14:00
Studienbücher zur Sozialwissenschaftg special knowledge of the internal system behavior. The procedure was implemented and tested on a mobile robot for factory-internal transport processes. With little training data, a binary classification for elementary fault detection. The method can easily be adapted to other cases of dynamical sy作者: kindred 時間: 2025-3-24 14:52
Sonderprobleme bei der ADV-Organisation,ion clusters. The first approach, using Euclidean distance and Dynamic Time Warping, yields poor clustering results. The second approach involves feature extraction using time domain and expert descriptors, along with dimensional reduction techniques (PCA, UMAP), followed by clustering techniques. U作者: DEAWL 時間: 2025-3-24 21:48
https://doi.org/10.1007/978-3-322-85673-9n. This paper discusses the effects of a simple proportional class-balancing technique, to enable better anchor matching of the OD models. A comparison was carried out on the performances of the SOTA OD models: YOLOv5, YOLOv7 and SSD, for combinations of real and synthetic datasets within an industr作者: 灌輸 時間: 2025-3-25 01:20
Betriebswirtschaftliche Beitr?ge can automatically adjust the level of assistance they provide to the operator based on what they perceive, rather than having the operator control them directly. Consequently, they do not only improve the workload of the operator, but this assistance is offered without requiring specific actions fr作者: enterprise 時間: 2025-3-25 06:00 作者: adulterant 時間: 2025-3-25 09:30 作者: nauseate 時間: 2025-3-25 14:23 作者: delusion 時間: 2025-3-25 16:02 作者: CRACK 時間: 2025-3-25 20:12 作者: 搬運工 時間: 2025-3-26 00:18
Enabling Seamless Human-Robot Collaboration in Manufacturing Using LLMscusing on collaborative manufacturing. Real-world experiments conducted in two manufacturing settings coming from the automotive and machinery industries. The findings have implications for various industries seeking to increase productivity and foster a new era of efficient and effective collaboration in manufacturing environments.作者: ANTE 時間: 2025-3-26 06:08
Advancing Human-Robot Interaction Using AI – A Large Language Model (LLM) Approachnce HRI in both execution and programming phases, through the use of AI, exploring large language models (LLMs), allowing humans to communicate in natural language. A reference use case is presented to validate the effectiveness of this approach.作者: 智力高 時間: 2025-3-26 10:33
Grundlagen der anorganischen Chemierm of dispatch rules. The agent was trained and tested in a production system of a bicycle industry upon various production scenarios. The DRL scheduling agent proposes production schedules with a 7% less makespan compared to traditional methods, such as shortest processing time (SPT) and longest processing time (LPT) dispatch rules.作者: 菊花 時間: 2025-3-26 13:26 作者: coagulate 時間: 2025-3-26 20:12 作者: 倔強不能 時間: 2025-3-26 21:50 作者: Acetaldehyde 時間: 2025-3-27 02:53 作者: forecast 時間: 2025-3-27 05:27 作者: 大看臺 時間: 2025-3-27 12:43
Parameter Identification in?Manufacturing Systems Using Physics-Informed Neural Networksework results in more significant parameter uncertainties. Consequently, this prompts us to discuss the implications for experimental designs, system identification, and the pivotal role of smart data.作者: 共同確定為確 時間: 2025-3-27 14:40 作者: maintenance 時間: 2025-3-27 18:44
Risk-Aware Task Sequencing for?Human-Robot Collaborationvaluation across various scenarios showcases its efficacy and adaptability to diverse risk levels. Experimental results show a positive equilibrium between productivity and safety, achieving both high throughput and low operator risk.作者: 游行 時間: 2025-3-28 00:54
2195-4356 ecial emphasis to industrially-relevant solutions.This book reports on?recent developments of artificial intelligence applications in the manufacturing industry.?Gathering contributions to the first?European Symposium on Artificial Intelligence in Manufacturing, held on September 19, 2023, in Kaiser作者: canvass 時間: 2025-3-28 03:10 作者: indifferent 時間: 2025-3-28 07:35 作者: glucagon 時間: 2025-3-28 12:39 作者: 吞吞吐吐 時間: 2025-3-28 15:39 作者: indicate 時間: 2025-3-28 21:54 作者: Emg827 時間: 2025-3-29 02:50 作者: FORGO 時間: 2025-3-29 04:10
Detection of Rare Fault Cases for Mobile Robot Applicationsors must be diagnosed quickly to avoid the propagation of faults and the associated safety risks and production downtime. The problems are incomplete descriptions of the systems and disturbed sensor signals, which makes it difficult to use model-based methods directly. In this article, a method is p作者: ear-canal 時間: 2025-3-29 09:23 作者: constellation 時間: 2025-3-29 13:07
Enabling Seamless Human-Robot Collaboration in Manufacturing Using LLMsThis research paper focuses on the integration of Large Language Models (LLMs) to augment HRC capabilities, particularly in addressing configuration issues when programming robots to collaborate with human operators. By harnessing the capabilities of LLMs in combination with a user-friendly augmente作者: harangue 時間: 2025-3-29 17:21 作者: 蝕刻 時間: 2025-3-29 21:53
AI Enhanced Processing of Large Parts: Volume Monitoring and Control of Robotic Gluing Applicationeposition while compensating for disturbances during the path following process. The suggested approach is based on point cloud processing acquired by a low-cost stereo vision system. The proposed approach has been validated in a deposition of glue case study coming from the bus and coach sector. A 作者: neutrophils 時間: 2025-3-30 03:53
Advancing Human-Robot Interaction Using AI – A Large Language Model (LLM) Approachy, efficiency, and safety in production processes. Robots equipped with advanced sensing capabilities can work alongside humans, performing repetitive and physically demanding tasks, while humans focus on more complex and strategic aspects of production. Several concepts have been presented so far i作者: 拉開這車床 時間: 2025-3-30 08:01
Cognitive Exoskeletons: Harnessing AI for Enhanced Wearable Robotics in Shipbuildingautomation is what drove previous progress in industry, not every process can be automated, therefore, there is still a need for humans to carry out more complex tasks. Thus, in order to increase productivity and efficiency, while maintaining flexibility, robots can assist operators in their tasks r作者: 果核 時間: 2025-3-30 11:41
An Approach for?Bin Picking in?High-Mix Low-Volume Manufacturing crucial role as it can provide a significant increase in productivity and efficiency in manufacturing processes. It is the ability of a robot to choose and pick an individual object from a pile of randomly arranged ones. This field has seen ample research in recent years, with a lot of solutions pr作者: 印第安人 時間: 2025-3-30 15:40 作者: otic-capsule 時間: 2025-3-30 18:06 作者: Antioxidant 時間: 2025-3-30 22:45
https://doi.org/10.1007/978-3-031-57496-2Digital Twin in Manufacturing; Machine Learning for Quality Inspection; AI in Human-Robot Interaction; 作者: sultry 時間: 2025-3-31 04:05
