enlist 发表于 2025-3-30 10:39:02
978-981-16-2088-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature SingaporGraduated 发表于 2025-3-30 13:04:48
Recent Trends in Mechanical Engineering978-981-16-2086-7Series ISSN 2195-4356 Series E-ISSN 2195-4364exclamation 发表于 2025-3-30 16:46:43
http://reply.papertrans.cn/83/8235/823478/823478_53.png夹克怕包裹 发表于 2025-3-30 22:42:17
https://doi.org/10.1007/978-981-16-2086-7Automation and Robotics; Additive Manufacturing; Nano Materials; Smart Materials; Energy; Biomechanics; IC新星 发表于 2025-3-31 02:09:43
C. S. Ramesh,Praduymna Ghosh,Elango NatarajanFocuses on emerging techniques in additive and smart manufacturing.Offers latest applications of robotics and automation in industrial processes.Includes studies on energy-efficient and eco-friendly mneolith 发表于 2025-3-31 08:11:16
ability, high cost or inconvenience of the collection of real-world data motivates the generation of synthetic data. In many experiments, the method chosen to generate synthetic data can significantly affect the results of an experiment. Unfortunately, the scientific literature does not contain gene吊胃口 发表于 2025-3-31 09:50:07
Ashley Lobo,D. K. Ramesha more. We discuss the major weaknesses of traditional “pen and paper” algorithmics and the ever-growing gap between theory and practice in the context of modern computer hardware and real-world problem instances. We present the key ideas and concepts of the central . cycle that is based on a full fe松紧带 发表于 2025-3-31 13:50:50
Sanjay Kumar,Mamta Thakur,Naman Shah,Sarthak Jainability, high cost or inconvenience of the collection of real-world data motivates the generation of synthetic data. In many experiments, the method chosen to generate synthetic data can significantly affect the results of an experiment. Unfortunately, the scientific literature does not contain gene