This research aims to <span lang="EN-US">improve anomaly detection performance by developing two variants of hybrid models combining supervised and unsupervised machine learning techniques. Supervised cannot detect new or unseen types anomaly. Hence in variant 1, a model that detects normal samples is followed an screen The weak differentiating between noise fraud. 2, the incorporates val...

A hybrid system or hybrid intelligent system uses the approach of integrating different learning or decision-making models. Each learning model works in a different manner and exploits different set of features. Integrating different learning models gives better performance than the individual learning or decisionmaking models by reducing their individual limitations and exploiting their differ...

This paper outlines a hybrid approach of neuro-fuzzy based learning and classification approach based on the online learning systems. The effect of fault diagnosis for the suggested fault location tool is evaluated over the conventional fault diagnosis based approaches. The method of fault location based on the conventional offline neuro controller approach is compared with the suggested hybrid...

this paper describes one university’s approach to improving the quality of teaching and learning at the institutional level, based on the premise of improving the design of curriculum rather than focusing on the skills of teachers as such. the paper describes the process by which university-wide principles of curriculum design were defined and agreed, as well as the parallel campaigns needed to...

Adventure learning (AL) is a hybrid distance education approach that provides students with opportunities to explore real-world issues through authentic learning experiences within collaborative learning environments. Within hybrid environments, designers habitually attempt to replicate traditional classroom pedagogy resulting in experiences that do not support or afford meaningful collaboratio...

Abstract We propose a novel hybrid learning approach to gain situation awareness in smart environments by introducing new identifier that combines an expert system and machine approach. Traditionally, systems approaches have been widely used independently detect ongoing situations as the main functionality various domains. Expert lack adapt each user are expensive design based on setting. On ot...