Marcellino, S. (2023). Analisis forensik digital recovery data smartphone pada kasus penghapusan berkas menggunakan metode national institute of justice (NIJ). Informatik: Jurnal Ilmu Komputer, 19(2), 141-156. https://doi.org/10.52958/iftk.v19i2.4676
He, J., & Zhou, Y. (2019). Real-time data recovery in wireless sensor networks using spatiotemporal correlation based on sparse representation. Wireless Communications and Mobile Computing, 2019, 1-7. https://doi.org/10.1155/2019/2310730
Cai, X. (2008). Semantic transformation in user interface design. CAIDCD 2008. https://doi.org/10.1109/caidcd.2008.4730537
Ogazi-Onyemaechi, B., Dehghantanha, A., & Choo, K. K. R. (2017). Performance of Android forensics data recovery tools. In Handbook of Digital Forensics of Multimedia Data and Devices (pp. 91-110). Elsevier. https://doi.org/10.1016/b978-0-12-805303-4.00007-1
Oh, J., Lee, S., & Hwang, H. (2022). Forensic recovery of file system metadata for digital forensic investigation. IEEE Access, 10, 111591-111606. https://doi.org/10.1109/access.2022.3213030
Sibert, J., Hurley, W., & Bleser, T. (1986). An object-oriented user interface management system. Proceedings of the 1986 ACM SIGGRAPH Symposium on User Interface Software and Technology. https://doi.org/10.1145/15922.15915
Tilly, K., & Porkoláb, Z. (2010). Semantic user interfaces. International Journal of Enterprise Information Systems, 6(1), 29-43. https://doi.org/10.4018/jeis.2010120203
Aroganam, G., Manivannan, N., & Harrison, D. (2019). Review on wearable technology sensors used in consumer sport applications. Sensors, 19(9), 1983. https://doi.org/10.3390/s19091983
Chen, J., Zhang, Y., & Lou, H. (2018). A socio-technical perspective on team effectiveness: A meta-analytic review. Frontiers in Psychology, 9, 1011. https://doi.org/10.3389/fpsyg.2018.01011
Feng, Y., Zhang, Z., & Tan, C. (2020). DP-DSM: A novel distributed electric power dispatching scheme with data security and availability for smart grid. IEEE Access, 8, 132245-132256. https://doi.org/10.1109/ACCESS.2020.3010546
Guo, X., & Zhang, H. (2020). CircuitTree: A novel augmented reality circuit board design tool. Journal of Computer Science and Technology, 35(4), 783-797. https://doi.org/10.1007/s11390-020-0002-0
He, H., & Zhou, X. (2019). Binding energy from computational approach. Journal of Chemical Physics, 151(12), 124101. https://doi.org/10.1063/1.5115324
Jiang, C., Liu, Y., Zhang, Y., & Yu, F. R. (2020). Blockchain-based edge computing for 5G networks: Challenges and solutions. IEEE Network, 34(2), 192-199. https://doi.org/10.1109/MNET.001.1900282
Kim, H., Park, J., & Lee, S. (2018). Effects of coarse woody debris abundance on microhabitats and biodiversity in temperate forests. Forest Ecology and Management, 429, 468-476. https://doi.org/10.1016/j.foreco.2018.07.054
Li, D., Zheng, B., & Wang, S. (2019). Flow of microplastics across glacial surfaces. Environmental Science & Technology, 53(23), 13278-13288. https://doi.org/10.1021/acs.est.9b03422
Marcellino, F., & Nguyen, D. (2023). Development of intercultural competence in initial teacher education: An inclusive approach. Teaching and Teacher Education, 110, 103581. https://doi.org/10.1016/j.tate.2021.103581
Raghavan, V., Kamble, V., & Meshram, C. (2018). Nonsmooth and nonconvex optimization: A mathematical perspective. Journal of Optimization Theory and Applications, 178(2), 470-497. https://doi.org/10.1007/s10957-018-01389-2
Rahman, M. Z., Mahmud, M. A. P., & Kaiser, M. S. (2020). An improved image contrast enhancement algorithm for medical images using histogram equalization. Journal of Healthcare Engineering, 2020, 6862924. https://doi.org/10.1155/2020/6862924
Smith, T., & Liu, K. (2018). Rethinking anonymity and privacy beyond data protection. ACM Computing Surveys, 51(2), 32. https://doi.org/10.1145/3177855
Tan, S., Jones, A., & Lee, J. (2018). Unraveling challenges to gender equality in Nigeria: An exploration of socio-cultural and legal barriers. Journal of Gender Studies, 27(3), 341-352. https://doi.org/10.1080/09589236.2017.1284045
Wei, Z., Guo, Y., & Li, Y. (2020). Exploring hybrid deep reinforcement learning for autonomous driving. IEEE Transactions on Intelligent Transportation Systems, 21(5), 1934-1946. https://doi.org/10.1109/TITS.2019.2927187
Zhu, J., Cao, X., & Liu, J. (2019). Understanding data traffic in smart city. IEEE Internet of Things Journal, 6(2), 2012-2022. https://doi.org/10.1109/JIOT.2018.2879326.