In view of the universal existence of multi-source uncertainty factors in engineering
structures, a novel method of dynamic force reconstruction is investigated based on Artificial …

Mental health problems are an increasingly common social issue severely affecting health
and well-being. Multimedia processing technologies via facial expression show appealing …

In the past few years, Differentiable Neural Architecture Search (DNAS) rapidly imposed
itself as the trending approach to automate the discovery of deep neural network …

Images captured under low-light conditions usually have poor visual quality, and hence
greatly reduce the accuracy of subsequent tasks such as image segmentation and detection …

In this paper, a unified control framework is proposed to investigate the synchronization
problem of inertial neural networks (INNs). Via the proposed framework, the finite-time, fixed …

Neural architecture search (NAS) has seen significant attention throughout the
computational intelligence research community and has pushed forward the state-of-the-art …

In this paper, the global exponential anti-synchronization problem is studied for an array of
delayed memristive neural networks (DMNNs) with leakage term and reaction–diffusion …

Deep neural networks have shown impressive performance in many areas, including
computer vision and natural language processing. Millions of parameters in deep neural …

Liver tumor segmentation plays an essential role in diagnosis and treatment of
hepatocellular carcinoma or metastasis. However, accurate and automatic tumor …

This paper addresses the fixed-time synchronization problem for inertial Cohen–Grossberg
neural networks with external disturbances and time-varying delays. Compared with some …