the aim of this paper is to explore conventional methods of teaching the arch-design studio withideas of sustainability and creativity as agents of change. if this is realised, it means the students of architecture canbe grounded in designing with sustainability and creativity ideas and can be professionals that design and build withideas of creativity and sustainability. so, there are real bui...

Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are not well suited to solve. This paper describes timeweaver, a genetic algorithm based machine learning system that predicts rare events by identifying predictive temporal and sequential patterns. Timeweaver is applied t...

Identifying clusters is an important aspect of data analysis. This paper proposes a noveldata clustering algorithm to increase the clustering accuracy. A novel game theoretic self-organizingmap (NGTSOM ) and neural gas (NG) are used in combination with Competitive Hebbian Learning(CHL) to improve the quality of the map and provide a better vector quantization (VQ) for clusteringdata. Different ...

during the last decade, educational processes have undergone many changes. e-learning, as an important tool for delivery, mutual interaction, and facilitation of both teaching and learning processes has changed teaching strategies and organizational structures of universities and it has even transformed learning itself. in this situation, educational institutions need to consider how to adapt t...