International Journal of Innovative Technology and Interdisciplinary Sciences https://journals.tultech.eu/index.php/ijitis <p>The <strong>International Journal of Innovative Technology and Interdisciplinary Sciences (IJITIS) (ISSN 2613-7305)</strong> is a reputable open-access, quarterly multidisciplinary journal that serves as a platform for the publication of reviews, regular research papers, short communications, and special issues on specific subjects, all presented in the English language. With a focus on fostering academic exchange and disseminating original research, IJITIS showcases the latest advancements and achievements in scientific research from Estonia and beyond to a global audience. Our journal welcomes original and innovative contributions across various fields of technology, innovation in the sciences, and interdisciplinary studies. We encourage submissions that provide valuable insights through analytical, computational modeling, and experimental research results. IJITIS is guided by an esteemed international board of editors comprised of distinguished local and foreign scientists and researchers. Notably, we actively seek manuscripts that introduce new research proposals and ideas, and we offer the option for authors to submit supplementary material such as electronic files or software to enhance the transparency and reproducibility of their work.</p> en-US Alireza.Aldaghi@tultech.eu (Mr. Alireza Aldaghi) ijitis.tultech@gmail.com (Administrator ) Fri, 27 Sep 2024 13:18:00 +0200 OJS 3.3.0.15 http://blogs.law.harvard.edu/tech/rss 60 An application with meta-methods (MetaRF) based on random forest classifier https://journals.tultech.eu/index.php/ijitis/article/view/177 <p>Meta classifiers are an area of intense study in the field of machine learning to improve classification performance. On the other hand, Random Forest is an important classifier in terms of providing fast and effective results. In this study, a meta-ensemble classifier called MetaRF based on the Random Forest basic learner is presented to use and combine the advantages of meta classifiers. For experimental results, the Random Forest base learner and eight meta-learners (AdaBoost, MultiBoostAB, Bagging, Stacking, UltraBoost, FeatureselectedClassifier, RandomSubSpace, FilteredClassifier) were used for ensemble classification on five datasets from the UCI Machine Learning Repository. Experimental results are promising in terms of accuracy rates, precision, recall and F-measure values. The method designed in the study is recommended to be used in machine learning studies and meta-classifier applications.</p> Burcu Durmuş, Öznur İşçi Güneri Copyright (c) 2024 Authors https://creativecommons.org/licenses/by/4.0 https://journals.tultech.eu/index.php/ijitis/article/view/177 Sat, 28 Sep 2024 00:00:00 +0200 A Scan Line Survey for Early Detection of Landslide Potential in Hard Rock Slopes https://journals.tultech.eu/index.php/ijitis/article/view/190 <p>Discontinuity surveys involve collecting rock data through fieldwork and are an important characteristic of evaluating the quality of rock masses in rock engineering. The characteristics of a rock mass, such as strength, deformability, and permeability, are considerably influenced by its discontinuities. Landslides and slope collapse in hard rocks demonstrate distinct qualities in comparison with those occurring in soft geological formations. The primary purpose of the investigation is to employ a scan line survey technique to assess and estimate the frequency of landslides in the Warcha Sandstone outcrop located in Karuli Piran village, Chakwal district, Pakistan. Scan line approach and physical classification of rock types are frequently utilized to identify controlling factors. We carried out a systematic investigation of the stability of the Warcha Sandstone cliff to recognize potential failure modes. The outcomes highlight a potential risk of vertical cliff instability through toppling, with the expected failure direction identified from northeast to southwest. A comprehensive physical inspection estimate underscores the gravity of the situation, indicating that a probable landslide could lead to substantial damage and road blockage. It is recommended to promptly implement precautionary measures, such as controlled blasting to remove the high-risk toppling region or to enhance resistance to stabilize the slope.</p> Javid Hussain, Xiaodong Fu, Nafees Ali, Jian Chen, Sayed Muhammad Iqbal, Altaf Hussain Copyright (c) 2024 Authors https://creativecommons.org/licenses/by/4.0 https://journals.tultech.eu/index.php/ijitis/article/view/190 Sun, 06 Oct 2024 00:00:00 +0200 Addressing Global Warming Issues in Schools Through Curriculum Integration https://journals.tultech.eu/index.php/ijitis/article/view/191 <p>Global warming is gradually shifting weather patterns, causing sea levels to rise, and increasing the frequency of extreme weather events. To effectively mitigate its effects and adapt to the changing climate, it is imperative to have a thorough understanding of global warming and its impacts. Thus, the purpose of this study is to use curriculum integration to address global warming issues in schools. It takes educational cues from Finland, Japan, South Africa, and New Zealand about how to teach about global warming. In order to accomplish the study's goal, a systematic review of the literature was carried out, incorporating and deleting journal articles from databases with broader coverage, including Scopus, WoS, and DOAJ. Thematic analysis was used to examine the data. The comparative study's conclusions show that while South Africa implements climate education policies unevenly, Finland is committed to interdisciplinary teaching, Japan incorporates climate change education into curricula, and New Zealand incorporates climate science across a variety of subjects. It was suggested, based on the findings, that countries create and carry out professional development initiatives to give educators the know-how and abilities needed to instruct students on climate change-related subjects.</p> Hlegiwe R. Mhlongo Copyright (c) 2024 Author https://creativecommons.org/licenses/by/4.0 https://journals.tultech.eu/index.php/ijitis/article/view/191 Mon, 07 Oct 2024 00:00:00 +0200 The Descriptive Analysis of Breach Experience Among Smartphone Users in the Albanian Higher Education Sector https://journals.tultech.eu/index.php/ijitis/article/view/182 <p>This paper investigates breach experiences among smartphone users in the Albanian Higher Education System. The survey examined the cybersecurity knowledge and breach incidents among students. The study focused on assessing cybersecurity awareness and experiences of unauthorized access, data loss, and malware infections. Results indicated that students with formal education in information security demonstrated higher self-assessed knowledge levels and reported fewer security incidents compared to their counterparts without such education. However, challenges such as smartphone loss and data breaches remain prevalent, even among educated users. These findings highlight the necessity for comprehensive and continuously updated cybersecurity education within academic curricula. By enhancing students' understanding and skills in digital security, educational institutions can better prepare individuals to safeguard their personal information and contribute to a more secure digital environment. This research underscores the importance of evolving cybersecurity education to address emerging threats and behaviors, eventually fostering a safer digital landscape for all users.</p> Enxhia Sala Copyright (c) 2024 Author https://creativecommons.org/licenses/by/4.0 https://journals.tultech.eu/index.php/ijitis/article/view/182 Tue, 22 Oct 2024 00:00:00 +0200