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AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation
In recent years, Unet and its variants have gained astounding success in the realm of
medical image processing. However, some Unet variant networks enhance their …
medical image processing. However, some Unet variant networks enhance their …
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization
Y Wang, Z Liu, GG Wang - Swarm and Evolutionary Computation, 2023 - Elsevier
Recently, multimodal multi-objective problem (MMOP) has become a popular research field
in multi-objective optimization problems. Multimodal multi-objective optimization problem …
in multi-objective optimization problems. Multimodal multi-objective optimization problem …
A short review on novel approaches for maximum clique problem: from classical algorithms to graph neural networks and quantum algorithms
This manuscript provides a comprehensive review of the Maximum Clique Problem, a
computational problem that involves finding subsets of vertices in a graph that are all …
computational problem that involves finding subsets of vertices in a graph that are all …
Multi-view contrastive heterogeneous graph attention network for lncRNA–disease association prediction
Motivation: Exploring the potential long noncoding RNA (lncRNA)-disease associations
(LDAs) plays a critical role for understanding disease etiology and pathogenesis. Given the …
(LDAs) plays a critical role for understanding disease etiology and pathogenesis. Given the …
[HTML][HTML] Moth search: Variants, hybrids, and applications
J Li, YH Yang, Q An, H Lei, Q Deng, GG Wang - Mathematics, 2022 - mdpi.com
Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …
Reinforced explainable knowledge concept recommendation in MOOCs
In this article, we study knowledge concept recommendation in Massive Open Online
Courses (MOOCs) in an explainable manner. Knowledge concepts, composing course units …
Courses (MOOCs) in an explainable manner. Knowledge concepts, composing course units …
An improved master-apprentice evolutionary algorithm for minimum independent dominating set problem
The minimum independent dominance set (MIDS) problem is an important version of the
dominating set with some other applications. In this work, we present an improved master …
dominating set with some other applications. In this work, we present an improved master …
A novel adaptive weight algorithm based on decomposition and two-part update strategy for many-objective optimization
Decomposition-based multi-objective evolutionary algorithm (MOEA/D) has good
performance in solving multi-objective problems (MOPs) but poor performance in solving …
performance in solving multi-objective problems (MOPs) but poor performance in solving …
Improved local search for the minimum weight dominating set problem in massive graphs by using a deep optimization mechanism
The minimum weight dominating set (MWDS) problem is an important generalization of the
minimum dominating set problem with various applications. In this work, we develop an …
minimum dominating set problem with various applications. In this work, we develop an …
Design of interactive teaching system of physical training based on artificial intelligence
M Xu, DA Liu, Y Zhang - Journal of Information & Knowledge …, 2022 - World Scientific
Nowadays, with the continuous change and innovation of teaching methods in Colleges and
universities, the curriculum system of students is also constantly enriched and developed …
universities, the curriculum system of students is also constantly enriched and developed …