Dissertation
Download 2.1 Mb.
|
| Advances in computers (Vol. 117, Issue 1, pp. 129–164). Elsevier.
Murgor, T. (2018). LABOUR MARKET DYNAMISM: IMPLICATIONS FOR TRAINING DIPLOMA IN ENGINEERING GRADUATES FOR SELF- EMPLOYMENT IN KENYA. University of Eldoret. Muro, M., Maxim, R., & Whiton, J. (2019). Automation and artificial intelligence: How machines are affecting people and places. Mystakidis, S., & Christopoulos, A. (2022). Teacher Perceptions on Virtual Reality Escape Rooms for STEM Education. Information 2022, Vol. 13, Page 136, 13(3), 136. https://doi.org/10.3390/INFO13030136 Nadeem, M., Lal, M., Cen, J., & Sharsheer, M. (2022). AR4FSM: Mobile Augmented Reality Application in Engineering Education for Finite-State Machine Understanding. Education Sciences 2022, Vol. 12, Page 555, 12(8), 555. https://doi.org/10.3390/EDUCSCI12080555 Nagy, M., & Lăzăroiu, G. (2022). Computer vision algorithms, remote sensing data fusion techniques, and mapping and navigation tools in the Industry 4.0-based Slovak automotive sector. Mathematics, 10(19), 3543. Naidu, V., & Jaju, S. (2022). CAD/CAM Engineering And Artificial Intelligence In Dentistry. IOP Conference Series: Materials Science and Engineering, 1259(1), 012018. https://doi.org/10.1088/1757-899X/1259/1/012018 Nair, C. S., Patil, A., & Mertova, P. (2011). Enhancing the quality of engineering education by utilising student feedback. Http://Dx.Doi.Org/10.1080/03043797.2010.518231, 36(1), 3–12. https://doi.org/10.1080/03043797.2010.518231 Najib, M., & Fahma, F. (2020). Investigating the Adoption of Digital Payment System through an Extended Technology Acceptance Model: an Insight from the Indonesian Small and Medium Enterprises. Article in International Journal on Advanced Science Engineering and Information Technology. https://doi.org/10.18517/ijaseit.10.4.11616 Nath, J. (2018). Aluminium Castings Engineering Guide. ASM International. Ng, C. S. W., Jahanbani Ghahfarokhi, A., & Nait Amar, M. (2021). Application of nature-inspired algorithms and artificial neural network in waterflooding well control optimization. Journal of Petroleum Exploration and Production, 11(7), 3103–3127. https://doi.org/10.1007/S13202-021-01199- X/FIGURES/27 Ng, P. C., She, J., & Ran, R. (2020). A reliable smart interaction with physical thing attached with ble beacon. IEEE Internet of Things Journal, 7(4), 3650–3662. Nguyen, A. T., Dao, M. H., & Nguyen, D. Q. (2020). A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese. Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020, 4079–4085. https://doi.org/10.18653/v1/2020.findings-emnlp.364 Niaki, M. K., & Nonino, F. (2018). The management of additive manufacturing. Birmingham: Springer. Niaz, S., Memon, S., & Khokhar, S. (2021). Development of E-learning: A Historical Review with Global Perspective. International Research Journal of Arts and Humanities, 49(49), 135. Nicholls, G. M., Wolfe, H., Besterfield-Sacre, M., & Shuman, L. J. (2010). Predicting STEM Degree Outcomes Based on Eighth Grade Data and Standard Test Scores. Journal of Engineering Education, 99(3), 209–223. https://doi.org/10.1002/J.2168-9830.2010.TB01057.X Niles, S., Contreras, S., Roudbari, S., Kaminsky, J., & Harrison, J. L. (2020). Resisting and assisting engagement with public welfare in engineering education. Journal of Engineering Education, 109(3), 491–507. https://doi.org/10.1002/JEE.20323 Niraula, D., & El Naqa, I. (2022). Software Tools for Machine and Deep Learning. Machine and Deep Learning in Oncology, Medical Physics and Radiology, 117–133. https://doi.org/10.1007/978-3-030-83047-2_7 Noura, M., Atiquzzaman, M., & Gaedke, M. (2019). Interoperability in internet of things: Taxonomies and open challenges. Mobile Networks and Applications, 24(3), 796–809. Nouri, J. (2016). The flipped classroom: for active, effective and increased learning–especially for low achievers. International Journal of Educational Technology in Higher Education, 13(1), 1–10. Nsanzumuhire, S. U., & Groot, W. (2020). Context perspective on University- Industry Collaboration processes: A systematic review of literature. Journal of Cleaner Production, 258, 120861. https://doi.org/10.1016/J.JCLEPRO.2020.120861 Obsie, E. Y., Qu, H., & Drummond, F. (2020). Wild blueberry yield prediction using a combination of computer simulation and machine learning algorithms. Computers and Electronics in Agriculture, 178, 105778. https://doi.org/10.1016/J.COMPAG.2020.105778 Okolie, U. C., Elom, E. N., Igwe, P. A., Binuomote, M. O., Nwajiuba, C. A., & Igu, N. C. N. (2021). Improving graduate outcomes: Implementation of problem- based learning in TVET systems of Nigerian higher education. Higher Education, Skills and Work-Based Learning, 11(1), 92–110. Oliver, M. (2011). Technological determinism in educational technology research: some alternative ways of thinking about the relationship between learning and technology. Journal of Computer Assisted Learning, 27(5), 373–384. https://doi.org/10.1111/J.1365-2729.2011.00406.X Oluwaseyi, M. M., & Sunday, A. M. (2020). Specifications and analysis of digitized diagnostics of automobiles: a case study of on board diagnostic (OBD II). International Journal of Engineering Research & Technology, 9(01). Oshikoya, T. W., & Nureldin Hussain, M. (1998). Information Technology and the Challenge of Economic Development in Africa. African Development Review, 10(1), 100–133. https://doi.org/10.1111/J.1467-8268.1998.TB00099.X Ovcharuk, O., Ivaniuk, I., Soroko, N., Gritsenchuk, O., & Kravchyna, O. (2020). The use of digital learning tools in the teachers’ professional activities to ensure sustainable development and democratization of education in European countries. Owusu-Agyeman, Y. (2021). Formation of a sustainable development ecosystem for Ghanaian universities. International Review of Education, 67(3), 333–362. https://doi.org/10.1007/S11159-020-09857-8/METRICS Owusu-Agyeman, Y., Fourie-Malherbe, M., & Frick, L. (2018). Exploring the educational needs of adult learners: A study of three universities in Ghana. Journal of Adult and Continuing Education, 24(2), 165–187. https://doi.org/10.1177/1477971418782997 Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1), 127–182. Öztürk, Ü., Akdağ, M., & Ayabakan, T. (2022). A review of path planning algorithms in maritime autonomous surface ships: Navigation safety perspective. Ocean Engineering, 251, 111010. https://doi.org/10.1016/J.OCEANENG.2022.111010 Pan, C., Wang, C. Y., Liang, S. J., Wang, Y., Cao, T., Wang, P., Wang, C., Wang, S., Cheng, B., Gao, A., Liu, E., Watanabe, K., Taniguchi, T., & Miao, F. (2020). Reconfigurable logic and neuromorphic circuits based on electrically tunable two-dimensional homojunctions. Nature Electronics 2020 3:7, 3(7), 383–390. https://doi.org/10.1038/s41928-020-0433-9 Papadoulis, A., Quddus, M., & Imprialou, M. (2019). Evaluating the safety impact of connected and autonomous vehicles on motorways. Accident Analysis & Prevention, 124, 12–22. Pardede, P. (2020). Integrating the 4Cs into EFL Integrated Skills Learning. Journal of English Teaching, 6(1), 71–85. https://doi.org/10.33541/jet.v6i1.190 Park, J. J., Handley, M., Lang, D., & Erdman, M. A. (2022). Engineering Leadership Development: Contribution of Professional Skills to Engineering Undergraduate Students’ Leadership Self-Efficacy. International Journal of Educational Methodology, 8(1), 69–80. https://doi.org/10.12973/ijem.8.1.69 Parker, S. K., & Grote, G. (2022). Automation, algorithms, and beyond: Why work design matters more than ever in a digital world. Applied Psychology, 71(4), 1171–1204. Peesker, K. M., Ryals, L. J., Rich, G. A., & Boehnke, S. E. (2019). A qualitative study of leader behaviours perceived to enable salesperson performance. Journal of Personal Selling & Sales Management, 39(4), 319–333. Pegram, J., Falcone, G., & Kolios, A. (2020). Job role localisation in the oil and gas industry: a case study of Ghana. The Extractive Industries and Society, 7(2), 328–336.
Pereira*, A. G., Lima, T. M., & Charrua-Santos, F. (2020). Industry 4.0 and Society 5.0: Opportunities and Threats. International Journal of Recent Technology and Engineering, 8(5), 3305–3308. https://doi.org/10.35940/IJRTE.D8764.018520 Perkmann, M., Tartari, V., McKelvey, M., Autio, E., Broström, A., D’Este, P., Fini, R., Geuna, A., Grimaldi, R., Hughes, A., Krabel, S., Kitson, M., Llerena, P., Lissoni, F., Salter, A., & Sobrero, M. (2013). Academic engagement and commercialisation: A review of the literature on university–industry relations. Research Policy, 42(2), 423–442. https://doi.org/10.1016/J.RESPOL.2012.09.007 Petersen, L., Robert, L., Yang, X. J., & Tilbury, D. M. (2019). Situational awareness, drivers trust in automated driving systems and secondary task performance. ArXiv Preprint ArXiv:1903.05251. Petrov, P. D. (n.d.). Models And Methods for The Application of Virtual and Augmented Reality in Education. Pierdicca, R., Prist, M., Monteriù, A., Frontoni, E., Ciarapica, F., Bevilacqua, M., & Mazzuto, G. (2020). Augmented reality smart glasses in the workplace: Safety and security in the fourth industrial revolution era. International Conference on Augmented Reality, Virtual Reality and Computer Graphics, 231–247. Pillai, R., Sivathanu, B., Mariani, M., Rana, N. P., Yang, B., & Dwivedi, Y. K. (2022). Adoption of AI-empowered industrial robots in auto component manufacturing companies. Production Planning & Control, 33(16), 1517– 1533. Pinto, C. M. A., Mendonça, J., Babo, L., Silva, F. J. G., & Fernandes, J. L. R. (2022). Analyzing the Implementation of Lean Methodologies and Practices in the Portuguese Industry: A Survey. Sustainability 2022, Vol. 14, Page 1929, 14(3), 1929. https://doi.org/10.3390/SU14031929 Pokholkov, Y., Horvat, M., Quadrado, J. C., Chervach, M., & Zaitseva, K. (2020). Approaches to assessing the level of Engineering Students’ Sustainable Development Mindset. 2020 IEEE Global Engineering Education Conference (EDUCON), 1102–1109. Poláček, R. (2020). User interface concept for smart glasses. Postman, N., Perelman, ; L. J., & Kenner, ; H. (1993). The new technology. | Australian Educational Computing. Australian Educational Computing. https://search.informit.org/doi/abs/10.3316/aeipt.86040 Powell, C. G., & Bodur, Y. (2019). Teachers’ perceptions of an online professional development experience: Implications for a design and implementation framework. Teaching and Teacher Education, 77, 19–30. Prensky, M. (2009). H. sapiens digital: From digital immigrants and digital natives to digital wisdom. Innovate: Journal of Online Education, 5(3). Psarommatis, F., Sousa, J., Mendonça, J. P., & Kiritsis, D. (2022). Zero-defect manufacturing the approach for higher manufacturing sustainability in the era of industry 4.0: A position paper. International Journal of Production Research, 60(1), 73–91. Purwanto, A. (2021). Download 2.1 Mb. Share with your friends:
|