The current competition for publishing in bioinformatics is intense, and achieving high scores is challenging! If you rely on conventional methods such as functional enrichment analysis and prognostic model evaluation, you will either pass with low scores, get rejected, or be asked to supplement your experiments… Combining with machine learning makes a difference; machine learning … Read more
What is bibliometrics? Bibliometrics quantitatively reveals the development history, research hotspots and development directions of a specific academic field. What is the use of bibliometrics? When selecting topics and writing literature reviews, bibliometric analysis can help you quickly locate key literature, frequently published authors or institutions, and current research hotspots from a vast amount of … Read more
Source: Deephub Imba Feature importance analysis is used to understand the usefulness or value of each feature (variable or input) in making predictions. The goal is to identify the most important features that have the greatest impact on model output, which is a frequently used method in machine learning. Why Is Feature Importance Analysis Important? … Read more
Click on the above“Beginner’s Visual Learning”, choose to add Star or Pin. Essential content delivered to you first-hand. Basic Knowledge The Graph Convolutional Network (GCN) is a type of generalized neural network structure based on graph structures that has gained widespread attention and research from scholars in recent years due to its unique computational capabilities. … Read more
Academic Dynamics Dynamic Learning Graph Convolution Mechanism for Short-Term Spatio-Temporal Traffic Flow Prediction Model Short-term traffic flow prediction is a core branch of intelligent transportation systems and plays an important role in traffic management. Graph Convolutional Networks (GCN) are widely used in traffic prediction models, effectively handling the graphical structure data of road networks. However, … Read more
In today’s fast-developing information technology landscape, neural network technology is applied across various industries, playing a crucial role in various predictions in public transport, mainly in vehicle travel time prediction, passenger flow prediction, and comprehensive evaluation prediction of public transport. This enables accurate predictions in public transport and enhances the management level of public transport … Read more
Optimization Models 1.1 Mathematical Programming Models Linear programming, integer linear programming, nonlinear programming, multi-objective programming, dynamic programming. 1.2 Differential Equation Models Stagnation growth model, SARS transmission model. 1.3 Graph Theory and Network Optimization Problems Shortest path problem, maximum flow problem, minimum cost maximum flow problem, minimum spanning tree problem (MST), traveling salesman problem (TSP), graph … Read more
Introduction The steel industry, as a crucial raw material sector supporting the development of national manufacturing, plays an important role in ensuring the national economy and defense construction. However, as a complex process industry, each process is a black box characterized by multiple variables, strong coupling, non-linearity, and significant delays, resulting in a production process … Read more
With the explosive development and widespread application of a new generation of strong artificial intelligence technologies represented by ChatGPT, human society has entered the era of artificial intelligence, where data, algorithms, and computing power are the core elements. Looking back in history, the wave of new technological revolutions characterized by “creative destruction” has often brought … Read more
1 The AI Comeback Story of College Student Xiao Li Xiao Li is a college student who, as his studies progressed, found that textbook knowledge was numerous and scattered, and he also had to take various necessary qualification exams, making it increasingly difficult for him to cope. By chance, he came into contact with AI—the … Read more