Uneingeschränkter Zugang

Integration and Innovation of Higher Education Management and Student Training Mechanisms Based on Multi-scale Feature Fusion

   | 05. Aug. 2024

Zitieren

Mas, A., Mesquida, A. L., & Colomo-Palacios, R. (2020). Enhancing the student perception on software project management in computer science. IEEE Transactions on Education, PP(99), 1-11. Search in Google Scholar

Van, W. W., Foussard, C., & Denis-Remis, C. (2022). A case study on the industrial risk management (irm) post-master academic education program of mines paris psl university. Safety science(151-), 151. Search in Google Scholar

Huerta, M. V., Carberry, A. R., Pipe, T., & McKenna, A. F. (2021). Inner engineering: Evaluating the utility of mindfulness training to cultivate intrapersonal and interpersonal competencies among first‐year engineering students. Journal of Engineering Education, 110(3), 636-670. Search in Google Scholar

Nahata, S. (2020). The role of computer games in the future of manufacturing education and training. Manufacturing Engineering(5), 165. Search in Google Scholar

Main, J. B., Camacho, M. M., Mobley, C., Brawner, C. E., Lord, S. M., & Kesim, H. (2019). Technically and tactically proficient: how military leadership training and experiences are enacted in engineering education. The international journal of engineering education, 35(2), 446-457. Search in Google Scholar

None. (2017). Webinars and student design proposals [education news]. IEEE Industry Applications Magazine, 23(4), 84-85. Search in Google Scholar

Slobodianiuk, A. (2019). Formal and organizational trends in psychological training of future teachers in higher education institutions of ukraine. Science & Education. Search in Google Scholar

Pan, W., Chen, L., & Zhan, W. (2020). Implications of construction vocational education and training for regional competitiveness: case study of singapore and hong kong. Journal of Management in Engineering, 36(2), 05019010.1-05019010.14. Search in Google Scholar

Bian, F., & Wang, X. (2021). The effect of big-data on the management of higher education in china and its countermeasures. International Journal of Electrical Engineering Education, 002072092110020. Search in Google Scholar

Munoz-Guijosa, J. M., Lantada, A. D., Javier Echávarri Otero, & Enrique Chacón Tanarro. (2019). Using smartphones physical interfaces in engineering education: experiences in promoting student motivation and learning. International Journal of Engineering Education, 35(5), 1290-1305. Search in Google Scholar

Gülden Gümüburun Ayalp, & Erman, O. (2019). Learning styles of architecture students and performance in construction management courses: a case study. International Journal of Engineering Education, 35(4), 1250-1262. Search in Google Scholar

Khamis, S., Abdi, A. M., & Basgut, B. (2020). Preparing lifelong learners for delivering pharmaceutical care in an ever-changing world: a study of pharmacy students. BMC Medical Education, 20(1). Search in Google Scholar

Zhao, W., Serik, M., & Zhumagulova, S. (2023). Development and assessment of a new approach to teaching parallel databases. The international journal of engineering education(5), 39. Search in Google Scholar

Hooda, M., Rana, C., Dahiya, O., Shet, J. P., & Singh, B. K. (2022). Integrating la and edm for improving students success in higher education using fcn algorithm. Mathematical Problems in Engineering, 2022. Search in Google Scholar

Mingguang Shan,Xuefen Xiong,Jianfeng Wang,Mengmeng Dang,Xueqian Zhou,Luyi Liang.. & Lei Yu. (2024). A noise-robust vibration signal extraction method utilizing intensity optical flow. Measurement 114889-. Search in Google Scholar

Hamed Aghapanah,Reza Rasti,Saeed Kermani,Faezeh Tabesh,Hossein Yousefi Banaem,Hamidreza Pour Aliakbar.. & William Paul Segars. (2024). CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI.Computerized medical imaging and graphics: the official journal of the Computerized Medical Imaging Society102382-102382. Search in Google Scholar

Qi Chen,Chao Li,Jia Ning,Stephen Lin & Kun He. (2024). GMConv: Modulating Effective Receptive Fields for Convolutional Kernels.IEEE transactions on neural networks and learning systems. Search in Google Scholar

Yong Wang,Yanzhong Yao,Jiawei Guo & Zhiming Gao. (2024). A practical PINN framework for multi-scale problems with multi-magnitude loss terms.Journal of Computational Physics113112-. Search in Google Scholar

eISSN:
2444-8656
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Biologie, andere, Mathematik, Angewandte Mathematik, Allgemeines, Physik