International Journal of Innovative Technology and Interdisciplinary Sciences

An application with meta-methods (MetaRF) based on random forest classifier

Burcu Durmuş — 2024-09-28

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.

A Scan Line Survey for Early Detection of Landslide Potential in Hard Rock Slopes

Javid Hussain — 2024-10-06

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.

Addressing Global Warming Issues in Schools Through Curriculum Integration

Hlegiwe R. Mhlongo — 2024-10-07

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.