The exploration of facial emotion recognition aims to analyze psychological characteristics
of juveniles involved in crimes and promote the application of deep learning to …

To explore the automatic computer composition, investigate the copyright protection and
management of digital music, and expand the application of deep learning and blockchain …

Two-dimensional convolution plays a fundamental role in different image processing
applications. Image convolving with different kernel sizes enriches the overall performance …

Small sample and pose variation are two critical technical problems in automatic face
recognition (AFR). The combination of these two difficulties will seriously affect the …

Accurate precipitation intensity forecasting is crucial for effective flood management and
early warning systems. This study evaluates the performances of convolutional neural …

Corrosion detection plays a crucial role in the effective lifecycle management of steel
structures, significantly impacting maintenance strategies and operational performance. This …

Intelligent corrosion diagnosis plays a crucial role in enhancing the efficiency of operation
and maintenance for steel structures. Presently, corrosion detection primarily depends on …

In this paper, we adopt the algorithms of linguistic feature Rong and sparse self‐learning
neural network to conduct an in‐depth study and analysis of Chinese semantic map** …

In the process of rapid growth of China's construction industry, for civil engineering
construction, its construction quality must be guaranteed to be able to drive China's …

Corrosion in steel structure engineering is a critical factor affecting its service life; therefore,
accurate and efficient identification of corrosion conditions in steel structures is crucial …