標(biāo)題: Titlebook: Explainable Artificial Intelligence (XAI) in Manufacturing; Methodology, Tools, Tin-Chih Toly Chen Book 2023 The Editor(s) (if applicable) [打印本頁] 作者: quick-relievers 時間: 2025-3-21 19:35
書目名稱Explainable Artificial Intelligence (XAI) in Manufacturing影響因子(影響力)
書目名稱Explainable Artificial Intelligence (XAI) in Manufacturing影響因子(影響力)學(xué)科排名
書目名稱Explainable Artificial Intelligence (XAI) in Manufacturing網(wǎng)絡(luò)公開度
書目名稱Explainable Artificial Intelligence (XAI) in Manufacturing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Explainable Artificial Intelligence (XAI) in Manufacturing被引頻次
書目名稱Explainable Artificial Intelligence (XAI) in Manufacturing被引頻次學(xué)科排名
書目名稱Explainable Artificial Intelligence (XAI) in Manufacturing年度引用
書目名稱Explainable Artificial Intelligence (XAI) in Manufacturing年度引用學(xué)科排名
書目名稱Explainable Artificial Intelligence (XAI) in Manufacturing讀者反饋
書目名稱Explainable Artificial Intelligence (XAI) in Manufacturing讀者反饋學(xué)科排名
作者: invulnerable 時間: 2025-3-21 22:02
Explainable Artificial Intelligence (XAI) in ManufacturingMethodology, Tools, 作者: MELD 時間: 2025-3-22 01:22
https://doi.org/10.1007/978-94-009-0027-1ention XAI techniques for evaluating the impact, contribution, or importance of each input on the output, including partial derivatives, odd ratio, out-of-bag (OOB) predictor importance, recursive feature elimination (RFE), Shapely additive explanation value (SHAP). Subsequently, XAI techniques for 作者: Minikin 時間: 2025-3-22 07:10
https://doi.org/10.1007/978-3-642-59692-6as established to guide the group multi-criteria decision-making process. Applications of AI and XAI to identify targets are first reviewed. Subsequently, the application of AI and XAI to selection factors and development of criteria is presented. Artificial intelligence techniques are widely used t作者: reception 時間: 2025-3-22 11:11
Taxation, Production, and Redistribution,Furthermore, job sequencing and scheduling problems are often formulated as mathematical programming (optimization) models to be optimized. AI technologies can be applied to find the best solution for the model. Applications of genetic algorithm (GA) are of particular interest because such applicati作者: insincerity 時間: 2025-3-22 13:42
Applications of XAI for Forecasting in the Manufacturing Domain,ention XAI techniques for evaluating the impact, contribution, or importance of each input on the output, including partial derivatives, odd ratio, out-of-bag (OOB) predictor importance, recursive feature elimination (RFE), Shapely additive explanation value (SHAP). Subsequently, XAI techniques for 作者: insincerity 時間: 2025-3-22 20:30 作者: 大酒杯 時間: 2025-3-23 01:00
Applications of XAI to Job Sequencing and Scheduling in Manufacturing,Furthermore, job sequencing and scheduling problems are often formulated as mathematical programming (optimization) models to be optimized. AI technologies can be applied to find the best solution for the model. Applications of genetic algorithm (GA) are of particular interest because such applicati作者: audiologist 時間: 2025-3-23 03:08
2191-530X .Contains real case studies and related research results.This book provides a comprehensive overview of the latest developments in Explainable AI (XAI) and its applications in manufacturing. It covers the various methods, tools, and technologies that are being used to make AI more understandable and作者: 混雜人 時間: 2025-3-23 05:59
Raymond DiGiuseppe,Cindy Ellen Lig are reviewed, including explaining the classification process and results of factory jobs, explaining artificial neural network (ANN)-based cycle time prediction methods, comparing the effect of alloy composition using Shapely additive explanation value (SHAP) analysis, etc.作者: 疏遠(yuǎn)天際 時間: 2025-3-23 13:29 作者: Desert 時間: 2025-3-23 14:18
Book 2023ally tailored for the manufacturing industry..The book includes real-world case studies and examples to illustrate the practical applications of XAI in manufacturing. It is a valuable resource for researchers, engineers, and practitioners working in the field of AI and manufacturing..作者: LUCY 時間: 2025-3-23 18:13
Book 2023arious methods, tools, and technologies that are being used to make AI more understandable and communicable for factory workers. With the increasing use of AI in manufacturing, there is a growing need to address the limitations of advanced AI methods that are difficult to understand or explain to th作者: Abrupt 時間: 2025-3-24 00:27
978-3-031-27960-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 蛙鳴聲 時間: 2025-3-24 03:53
Explainable Artificial Intelligence (XAI) in Manufacturing978-3-031-27961-4Series ISSN 2191-530X Series E-ISSN 2191-5318 作者: Lineage 時間: 2025-3-24 07:22 作者: Euthyroid 時間: 2025-3-24 12:03
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/e/image/319290.jpg作者: dagger 時間: 2025-3-24 15:50 作者: 游行 時間: 2025-3-24 21:09
https://doi.org/10.1007/978-94-009-0027-1time forecasting, sales forecasting, unit cost reduction, predictive maintenance, yield learning, etc. are based on forecasting. This chapter takes job cycle time forecasting as an example. Artificial intelligence (AI) techniques have many applications in job cycle time prediction. Of these, artific作者: freight 時間: 2025-3-25 02:11 作者: 新陳代謝 時間: 2025-3-25 03:54 作者: Ccu106 時間: 2025-3-25 09:20 作者: 向宇宙 時間: 2025-3-25 12:38 作者: 不自然 時間: 2025-3-25 17:30 作者: 刺耳的聲音 時間: 2025-3-25 22:34
Applications of XAI for Decision Making in the Manufacturing Domain,ecision making in manufacturing systems. Due to its long-term and cross-functional impact, decision making may be more critical to the competitiveness and sustainability of manufacturing systems than production planning and control. This chapter uses the example of choosing the right smart and autom作者: Euthyroid 時間: 2025-3-26 03:47 作者: Pageant 時間: 2025-3-26 06:48 作者: Concerto 時間: 2025-3-26 08:35
Sai Ramani Garimella,B. Parthibane impact on the drivers employed by logistics service providers. The last mile, however, offers great potential for sustainable logistics processes. This article uses the sustainable crowd logistics project NaCl to show possible processes for last mile logistics.作者: AGOG 時間: 2025-3-26 16:12 作者: Encoding 時間: 2025-3-26 18:09
NarrowCast: A New Link-Layer Primitive for Gossip-Based Sensornet Protocolsf the approximations with Trickle, a state-of-the-art gossiping protocol, and X-MAC, a popular link layer based on low-power listening. The results show that—without sacrificing reliability—gossiping using even the simplest approximations of NarrowCast can considerably outperform gossiping based on broadcasting in energy efficiency.作者: Eeg332 時間: 2025-3-26 21:31
Karen WendtA, Brazil and other countries in the years ahead may result in more or less sizably increasing prices of vegetable and animal oils & fats owing to the limitations of resources (arable land and water), unless a major breakthrough is accomplished in yields per hectare of oilseeds and palm oil. There i作者: avulsion 時間: 2025-3-27 05:10 作者: florid 時間: 2025-3-27 08:48 作者: 智力高 時間: 2025-3-27 11:50
https://doi.org/10.1007/978-1-4419-0843-8nd for whom different types of conflict promote or prevent creativity at both the individual and group levels of analysis. From the discussed work, it follows that the direction and size of the effect of conflict on creativity depends on the type and intensity of conflict and crucial moderators. Alt作者: 態(tài)度暖昧 時間: 2025-3-27 17:22 作者: NEG 時間: 2025-3-27 19:12
Thomas J.‘Quirk,Simone CummingsPresents key steps and examples to solve practical, easy-to-understand social work problems using Excel.Contains 163 illustrations in color.Suitable for undergraduate and graduate students.No backgrou
