Core–periphery structure is an essential mesoscale feature in complex networks. Previous
researches mostly focus on discriminative approaches, while in this work we propose a …

Spectral images capture reflection characteristics, texture, and spatial details, while polarimetric
images provide insights into surface roughness, morphology, and material structure. …

This paper considers the problem of terminal sliding mode control (TSMC) for uncertain MIMO
systems in which the actuator faults may happen in any channel of actuators. By means of …

Stability and endurance are crucial attributes in ship navigation, necessitating a deep
understanding of wave dynamics. This study utilizes the popular LSTM time series prediction …

The challenge of the dimensional disaster in multi-view data is an ongoing and formidable
issue. Current multi-view feature selection algorithms aim to reduce dimensions by learning a …

Multi-view clustering (MVC) methods can improve the clustering accuracy by integrating
complementary information from multiple views. In recent years, multi-view clustering based on …

Establishing relations between fundamental effects in far‐flung areas of physics is a subject
of great interest in the current research. Realization of a novel photonic system akin to the …

Objectives: Our objective was to explore the incidence and early predictive factors of acute
kidney injury in coronavirus disease 2019 (COVID-19) patients. Method: We established a …

Objectives This study aims to build a machine learning (ML) model to predict the recurrence
probability for postoperative non-lactating mastitis (NLM) by Random Forest (RF) and …

… Wang and Fu presented a personalized learning resource recommendation algorithm [18].
Initially, the algorithm calculates the similarity between users or items using Pearson …