Abstract: The timely and accurate traffic flow prediction is critical for stable and safe Intelligent Transportation System (ITS). Due to the nonlinearity and difficulty of traffic, the existing ...

Understanding the impact of land use on soil organic carbon stocks (SOCS) and soil properties is crucial for effective soil management and mitigating climate change. This study aimed to evaluate the ...

Abstract: The “Automated Math Equation Recognition and Problem Solving with Computer Vision” research work is to develop a framework that utilizes computer vision methods to consequently recognize ...

Abstract: Hand gesture-based Sign Language Recognition (SLR) serves as a crucial communication bridge between hard of hearing and non-deaf individuals. The absence of a universal sign language (SL) ...

Abstract: We present an electronically reconfigurable antenna array offering low probability of intercept/detect (LPI/LPD) and secure communications capabilities simultaneously at the physical layer.

Abstract: The electroencephalogram (EEG) signal has become a highly effective decoding target for emotion recognition and has garnered significant attention from researchers. Its spatial topological ...

Abstract: Multivariate time series prediction has aroused widely research interests during decades. However, the spatial heterogeneity and temporal evolution characteristics bring much challenges for ...

Abstract: Proteins play crucial roles in diverse biological functions, and accurately annotating their functions is essential for understanding cellular mechanisms and developing therapies for complex ...

Abstract: With the property of helping users further enhance the anonymity of transactions, mixing services in blockchain have gained wide popularity in recent years. However, the strong ...