In this paper, face detection problem is considered using the concepts of compressive sensing technique. This technique includes dictionary learning procedure and sparse coding method to represent the structural content of input images. In the proposed method, dictionaries are learned in such a way that the trained models have the least degree of coherence to each other. The novelty of the prop...

The problem found in the field was limitation of face-to-face learning for students due to outbreak Covid-19 pandemic. This study conducted analyze feasibility, practicality and effectiveness online using an android smartphone that utilizes Edmodo management system Learning Evaluation course. type research is development. development model used ADDIE Model, namely Analysis, Design Develop, Impl...

Nowadays, it is a deal of big significance to make our teaching innovative and enjoyable for the students. One ways implement online learning games in ESL classes. There necessity develop language different contexts, but some students are becoming successful only under certain conditions. The way with proceed building connections between contexts using scaffolding, reflecting upon students` pri...

This thesis studies the diversity issue of classification ensembles for class imbalance learning problems. Class imbalance learning refers to learning from imbalanced data sets, in which some classes of examples (minority) are highly under-represented comparing to other classes (majority). The very skewed class distribution degrades the learning ability of many traditional machine learning meth...

zoltán dörnyei (2005) proposed a new form of motivation which is aiming at equipping the learners with a lifelong approach to motivation which is self-induced by the learner and it is not needed for any extrinsic mediation, having understood how to keep yourself motivated. this study was an attempt to find out the effect of self-motivation strategies instruction on the learners belief on learne...