a thermochemical conversion method, implicates subjecting wet biomass to high temperature and pressure in the presence of H2O, allowing for the formation of biocrude, the renewable counterpart of oil [20]. This process addresses the energy-intensive ...
Engineering mathematics is a branch of applied mathematics which is an important fundamental undergraduate course of science and engineering majors in most... D Xue,M Zong,L Ma - International Conference on Management 被引量: 0发表: 2018年 The Effect of Micro-Teaching Practices on the Professional...
A Case Study: Developing a Systematic Method for the Digitalization of Business Processes for SME in the Construction Industry Chapter © 2022 1 Introduction When science and technology, such as AI, meet human application, ethical moral issues arise. This debate is not new. Experts in Medicine...
have been a popular choice as they can be one-hot encoded (a group of bits among which the combinations of values are only those with a single high [1] bit and all the others low [0]) and are more easily interpreted by experimentalists who may not have strong computer science skills....
Social norms are Habits (HB) measured as part of the individual drive to follow behaviors, habits ingrained in learning tasks (Venkatesh et al., 2012). From an Information Systems angle, the underlying prediction proves that this habit has a significant impact in emotional link to real use. ...
Keywords Active learning, Flipped classroom, Formative assessment, Gamification, Problem-based learning Background Current educational trends encourage the shift toward the learning paradigm to the detriment of the teach- ing paradigm. Learning is a student-centered approach, encouraging self-regulated ...
(latent vector), and 2) a decoder meant to reconstruct the initial input of the encoder from the latent vector. The role of the discriminator is to distinguish the latent vectors of the training data from random vectors. In this architecture as an adversarial generative network, the aim of ...
Support Vector Machine (SVM) and its variants are gaining momentum among the Machine Learning community. In this paper, we present a quantitative analysis
[2] in the area of behavior-based systems. These design principles aim to reduce the complexity of the tasks and allow to build a complex controller incrementally. Similarly, in the area of reinforcement learning, there exist approaches such as hierarchical reinforcement learning, which is based ...
businesses, and policymakers, we can help them make better choices. If economics is the science of studying how people use various, limited means available