Results 61 to 70 of about 5,691,467 (362)
Reinforcement Learning Based Gasoline Blending Optimization: Achieving More Efficient Nonlinear Online Blending of Fuels [PDF]
The online optimization of gasoline blending benefits refinery economies. However, the nonlinear blending mechanism, the oil property fluctuations, and the blending model mismatch bring difficulties to the optimization. To solve the above issues, this paper proposes a novel online optimization method based on deep reinforcement learning algorithm (DRL).
arxiv
Despite the growing empirical interest in academic procrastination in the distance learning, there are only limited studies on the determinants of this phenomenon in the blended learning programmes.
Elżbieta Sanecka
doaj +1 more source
Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder [PDF]
Several works have demonstrated the use of variational autoencoders (VAEs) for generating levels in the style of existing games and blending levels across different games. Further, quality-diversity (QD) algorithms have also become popular for generating varied game content by using evolution to explore a search space while focusing on both variety and
arxiv
This study aims to determine the effect of implementing chemistry learning using the blended learning model in increasing student HOTS. The method used in this research is literature study.
Badrus Syamsi, Ade Suryanda
doaj +1 more source
Blended learning: The student viewpoint
Blended learning (BL) is defined as "a way of meeting the challenges of tailoring learning and development to the needs of individuals by integrating the innovative and technological advances offered by online learning with the interaction and participation offered in the best of traditional learning." The Gulf Medical University (GMU), Ajman, UAE ...
Sajith P, Nisha Shantakumari
openaire +5 more sources
Background A flipped classroom with team-based learning is a blended educational strategy that guides active learning inside and outside the classroom.
Hee-Young Kang, H. Kim
semanticscholar +1 more source
Game Level Blending using a Learned Level Representation [PDF]
Game level blending via machine learning, the process of combining features of game levels to create unique and novel game levels using Procedural Content Generation via Machine Learning (PCGML) techniques, has gained increasing popularity in recent years.
arxiv
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
A Hierarchy-based Analysis Approach for Blended Learning: A Case Study with Chinese Students [PDF]
Blended learning is generally defined as the combination of traditional face-to-face learning and online learning. This learning mode has been widely used in advanced education across the globe due to the COVID-19 pandemic's social distance restriction as well as the development of technology. Online learning plays an important role in blended learning,
arxiv
While blended learning is well entrenched in many developed countries as a solution towards enabling access to educational resources and managing student diversity, this may not be the same for rural based universities in developing countries.
Patricia Muhuro+2 more
doaj +3 more sources