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Publication search results
found 228 matches
- 2024
- Xin Jing, Yixuan Huan, Yu Wang, Ruixian Huang, Yang Xu, Qiangqiang Zhang:
Complex Crack Segmentation and Quantitative Evaluation of Engineering Materials Based on Deep Learning Methods. IEEE Access 12: 41396-41412 (2024) - Yonghee Cho, Seong-Pil Yoon, Karp-Soo Kim, Paul C. Hong:
A Systematic Strategic Technology Planning Process for Material and Component Industries With a Sectoral Innovation System View. IEEE Trans. Engineering Management 71: 4889-4903 (2024) - Chia-Yen Lee, Yung-Lun Lin, Shu-Hung Lin, Taho Yang:
Virtual Material Quality Investigation System. IEEE Trans. Engineering Management 71: 2649-2659 (2024) - Francesco Lolli, Elia Balugani, Maria Angela Butturi, Antonio Maria Coruzzolo, Alessio Ishizaka, Simona Marinelli, Vincenzo Romano:
A Decision Support System for the Selection of Insulating Material in Energy Retrofit of Industrial Buildings: A New Robust Ordinal Regression Approach. IEEE Trans. Engineering Management 71: 2077-2088 (2024) - Deepak Prasad, Mayur Pimpude, Alankar Alankar:
Towards Development of Automated Knowledge Maps and Databases for Materials Engineering using Large Language Models. CoRR abs/2402.11323 (2024) - 2023
- Kevin Herrmann, Stefan Plappert, Paul Christoph Gembarski, Roland Lachmayer:
Process Chain-Oriented Design Evaluation of Multi-Material Components by Knowledge-Based Engineering. Algorithms 16(5): 247 (2023) - Ran Wang, Cheng Xu, Runshi Dong, Zhenghui Luo, Rong Zheng, Xiaotong Zhang:
A secured big-data sharing platform for materials genome engineering: State-of-the-art, challenges and architecture. Future Gener. Comput. Syst. 142: 59-74 (2023) - Xu Dai, Lei He, Wuxing Wu, Jian Chen:
Visualization experiment technology based on transparent geotechnical materials and its engineering application. J. Vis. 26(1): 145-159 (2023) - Guojing Cong, Victor Fung:
Improving materials property predictions for graph neural networks with minimal feature engineering *. Mach. Learn. Sci. Technol. 4(3): 35030 (2023) - Nerija Zurauskiene:
Engineering of Advanced Materials for High Magnetic Field Sensing: A Review. Sensors 23(6): 2939 (2023) - Vasilis K. Oikonomou:
Engineering and Materials: Editorial. Symmetry 15(10): 1902 (2023) - Barbara A. Kitchenham, Lech Madeyski, David Budgen:
How Should Software Engineering Secondary Studies Include Grey Material? IEEE Trans. Software Eng. 49(2): 872-882 (2023) - Rukeia El-Athman, Jörg Rädler, Oliver Löhmann, Angela Ariza, Thilo Muth:
The BAM Data Store Piloting an OpenBIS-Based Research Data Infrastructure in Materials Science and Engineering. CoRDI 2023 - Timothy Pham, Shuyu Wang, Sarah Razook, Alyssa Curran, Jaskirat Singh Batra, Edgar Rojas-Muñoz:
Crystal Viewpoints: Virtual Reality Viewpoint Design for Analytical Measurement of Crystal Structures in Materials Science and Engineering. FIE 2023: 1-5 - Yuanyuan Xu, Mengjie Huang, Wenxin Sun, Rui Yang, Massimo Imparato, Hai-Ning Liang:
Designing an AR-Based Materials Library for Higher Education: Offering a Four-Know Learning Structure for Design and Engineering Students. iLRN 2023: 250-259 - Christine Bala Burgoyne, Kim Grandstaff:
Extended Abstract: Developing a Community of Practice to Support Materials Science and Engineering Graduate Students Through an Integrated Communications Program at Virginia Tech. ProComm 2023: 164-165 - Anuradha Madugalla, John Grundy, Tanjila Kanij, Rashina Hoda, Dulaji Hidellaarachchi, Aastha Pant, Samia Ferdousi:
Supplementary Material for Paper Titled "Challenges, Adaptations, and Fringe Benefits of Conducting Software Engineering Research with Human Participants during the COVID-19 Pandemic". Zenodo, 2023 - Maciej P. Polak, Dane Morgan:
Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineering - Example of ChatGPT. CoRR abs/2303.05352 (2023) - 2022
- Henry A. Colorado Lopera, Elkin Iván Gutierrez-Velasquez, Nancy Ballesteros:
Bridging the Gap Between Theory and Active Learning: A Case Study of Project-Based Learning in Introduction to Materials Science and Engineering. Rev. Iberoam. de Tecnol. del Aprendiz. 17(2): 160-169 (2022) - Xiaohua Wang, Chao Peng:
Engineering mathematical calculation method for curved surface die design of metal materials. J. Comput. Methods Sci. Eng. 22(4): 1099-1104 (2022) - Natasa M. Samardzic, Dalibor L. Sekulic:
Introducing Innovative Prototypes in Course Materials and Fabrication Technologies in Medical Devices for Electrical and Biomedical Engineering Students. IEEE Trans. Educ. 65(4): 562-567 (2022) - Hongtao Tang, Haitao Zhang, Rong Liu, Yuzhu Du:
Integrating Multi-Index Materials Classification and Inventory Control in Discrete Manufacturing Industry: Using a Hybrid ABC-Chaos Algorithm. IEEE Trans. Engineering Management 69(4): 1276-1293 (2022) - Lucia Knapcíková, Dragan Perakovic:
Innovations in ICT, management, industrial and materials engineering. Wirel. Networks 28(2): 853-854 (2022) - Bo Hu, Bolin Qi, Qiang Cui, Daosheng Sun, Jifang Shen, Lianjun Gao:
Design and Research of Power Engineering Material Online Management Platform Based on the Internet of Things. AIIPCC 2022: 249-252 - Di Yang, Shihe Zhao, Da Liu, Runkun Cheng, Yinchuan Zhao:
Construction of Engineering Material Demand Data Space Integrating Macroeconomic Data. CSCWD 2022: 1529-1534 - Yuanyuan Xu, Mengjie Huang, Massimo Imparato, Rui Yang, Hai-Ning Liang:
Work-in-Progress - Towards an AR Materials Library for Design and Engineering Education. iLRN 2022: 1-3 - Taishi Akimoto, Kayoko H. Murakami, Atsuko K. Yamazaki, Tsukasa Yamanaka, Hiroshi Hasegawa:
A Preliminary Cyber-Physical Study of a VR Training Material for Engineering Students to Give a Presentation in English. KES 2022: 3713-3720 - Jamil Extremera, Diego Vergara, Sara Rodríguez:
Materials Science and Engineering Education Based on Reality-Virtuality Technologies. MIS4TEL 2022: 48-58 - Irene Samy, Amira ElShamy, Mohamed Mahmoud:
Multi-disciplinary Engineering Education: Properties of materials course as a case study in Architecture and Industrial Engineering. NILES 2022: 239-242 - Dror G. Feitelson:
Experimental materials for "How Developers Choose Names", IEEE Trans. Software Engineering. IEEE DataPort, 2022
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