Using the finite element analysis software ANSYS Workbench, we examined the characteristics of materials and selected the best ones for hoes. The mechanical properties of different materials were ... Read More

The influence of machine learning (ML) technologies on governance effectiveness and environmental management in rural areas was explored in this study. The role of ML and sensor data in enhancing ... Read More

We applied artificial intelligence (AI) technology to improve the language learning, communication, and cognitive development of children with disabilities and hearing impairments, and assessed t ... Read More

Illegal logging and poaching in forests threaten the forest ecosystem and cause biodiversity loss and environmental degradation. However, traditional monitoring methods lack scalability and real- ... Read More

In this study, we examined the live streaming training process for e-commerce hosts, focusing on how changes in students’ attention and cognitive states affect the effectiveness of live streami ... Read More

In this study, a TiO2 precursor solution was synthesized by the sol–gel method, and TiO2 nanoparticles of different sizes (5, 25, 32, and 100 nm) were added to investigate their effects on th ... Read More

With the advancement of information technology and a shift toward healthcare focused on chronic diseases, health awareness has increased. This trend has driven the development of electronic healt ... Read More

We developed and validated a remote fruit recognition system designed for greenhouse orchards, integrating image processing with sensor-based monitoring and long-range (LoRa) wireless communicati ... Read More

We propose a dilated denoising autoencoder (DDAE) based on a multilayer one-dimensional convolutional neural network (CNN) to remove motion-induced noise—baseline wander (BW), muscle artifacts ... Read More

Recently, machine learning techniques, particularly deep learning models, have been increasingly applied to the analysis, optimization, and prediction of system performance in industrial air comp ... Read More

In this study, we focus on the development of intelligent power disaster prevention monitoring sensors to enhance the stability and reliability of building electrical systems. The proposed system ... Read More

Steady-state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) offer a promising solution for facilitating communication in individuals with severe motor disabilities. Impr ... Read More

We investigated the effects of neodymium (Nd) doping on the crystal structure, surface morphology, and piezoelectric properties of ZnO, and applied Nd doping to nanogenerators fabricated using po ... Read More