The particular model we used is a type of machine learning model termed "process‐guided deep learning" because it takes advantage of both the computational advances in machine learning and our collective understanding of the science of stream temperature. We found that two approaches...
The blended synchronous classroom fosters equitable and balanced educational development; however, challenges persist, including low motivation and suboptimal effects on the deep learning of remote students. This study employs a student-centered learning approach and incorporates the process-oriented guided ...
Therefore, lecturers need to experiment with new teaching methodologies to embolden deep learning outcomes and to develop interpersonal skills amongst students. Process Oriented Guided Inquiry Learning (POGIL) is a teaching approach that uses highly structured group work during lessons so that students ...
In addition, the workflow used in the present work is implemented by ANN and U-net, which are suitable to be explained by Deep Taylor Decomposition, Guided Backpropagation and Gradient-based Saliency Maps according to the literature27,28. Thus, we have applied the three techniques on Implants ...
Machine learning approaches are increasingly used to extract patterns and insights from the ever-increasing stream of geospatial data, but current approaches may not be optimal when system behaviour is dominated by spatial or temporal context. Here, rath
A process workflow is a series of steps that have to be followed to complete a process. This workflow includes the sequence of activities and actions to be taken and is guided by pre-defined rules that dictate the flow of information. ...
To address this challenge, this study developed a process-guided deep learning (PGDL) model, integrating a long short-term memory (LSTM) neural network and a process-based model (PBM), CE-QUAL-W2 (W2), to predict water temperature in a stratified reservoir. The PGDL model incorporates an ...
This represents a significant advancement in production planning, offering a cost-effective and interpretable method for managing machine degradation. Keywords: degradation control; fault control; improve production reliability; process-guided learning
1. Introduction In this tutorial, we’re going to takean in-depth look at theProcessAPI. For a shallower look into how to useProcessto execute a shell command, we can refer to our previous tutorialhere. The process that it refers to is an executing application. TheProcessclass provides me...
1. The rise of deep learning 2. Back to fundamentals 3. Geometrical interpretation of DL 4. Relevance of Occam's razor and equifinality? 5. Fundamental differences from other ML methods 6. How to introduce order, time-dependency, and memory 7. ML versus process-based modelling – an experim...