Abstract: Warpage has always been a challenge in package, large value of warpage will lead to a series of problems such as delamination, crack et al. Finite element analysis (FEA) has been widely used ...
Abstract: Intelligent transportation systems are an important solution to address transportation issues. Traditional traffic management methods are no longer able to meet the demands of modern cities ...
Abstract: In light of the growing global concerns over energy and climate change, new energy vehicles are confronted with both opportunities and challenges posed by industrial structural ...
Abstract: Today, making decisions in multi-parameter contexts requires long computational times and increasingly powerful computers. In addition, we are often interested not only in the final decision ...
Abstract: Accurately identifying feature points of welding seam is the premise to ensure welding accuracy. Line laser has been widely used in the field of automated welding. However, the algorithm for ...
The duel is age-old: on one side, cold, methodical and exhaustive ‘calculation’; on the other, the decision-maker’s dazzling intuition, that often indefinable ‘flair’. Since the advent of Big Data ...
Abstract: Aviation electrical connectors are essential components in the aircraft electrical wiring interconnection system (EWIS), responsible for information and energy transmission. Even a minor ...
Abstract: Leveraging on interpolated discrete-time Fourier transform (IpDTFT) algorithms recently proposed in the literature, this article proposes three frequency and damping factor estimators of ...
A Single-Cell Clustering Algorithm Based on Structure Perturbation Non-Negative Matrix Factorization
Abstract: The advent of single-cell RNA sequencing (scRNA-seq) has facilitated the acquisition of high-resolution data regarding cell heterogeneity across various tissues. A fundamental and critical ...
Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...
Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...
Abstract: Many advanced techniques efficiently harvest the global maximum power (GMP) of the photovoltaic (PV) system, including machine learning techniques and metaheuristic algorithms based maximum ...
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