Towards Sustainable Perovskite Light-Emitting Diodes

As global attention to energy efficiency and environmental sustainability continues to grow, light-emitting diode (LED) technology has become a mainstream choice in the lighting and display sectors. However, despite significant advancements in the energy efficiency and performance of traditional LEDs, their reliance on rare materials during manufac...

Covalent Heterostructures of Ultrathin Amorphous Carbon Nitride and Si for High-Performance Vertical Photodiodes

Carbon nitride (CN), as a two-dimensional n-type semiconductor material, exhibits great potential in light-driven energy conversion and environmental applications due to its excellent photocatalytic activity and stability. However, despite its outstanding performance in photocatalysis, the application of CN in optoelectronic devices, especially sil...

Analyzing Content of Paris Climate Pledges with Computational Linguistics

The Paris Agreement is a crucial framework for global climate action, with countries outlining their climate goals and strategies through Nationally Determined Contributions (NDCs). While existing research has primarily focused on assessing the mitigation targets within NDCs, the broader textual content of these documents has received little system...

Online Signature Watermarking in the Transform Domain

Academic Background With the rapid growth of digital content, the importance of digital signatures in identity verification and content authentication has become increasingly prominent. However, the security and integrity of digital signatures face significant challenges. To protect the authenticity of signatures and prevent tampering, digital wate...

A Communication-Efficient Distributed Frank-Wolfe Online Algorithm with an Event-Triggered Mechanism

Academic Background In the era of big data, distributed learning has become an effective method for solving large-scale online machine learning problems. However, frequent communication and projection operations in distributed learning incur high communication and computational costs. Especially in high-dimensional constrained optimization problems...

Rain Streak Removal Using Improved Generative Adversarial Network with Loss Function Optimization

Academic Background In the field of computer vision, rain streaks are a common interference factor, especially in outdoor surveillance, autonomous driving, and intelligent transportation systems. Rain streaks significantly degrade image quality, affecting the recognition and analysis capabilities of visual systems. Traditional rain streak removal m...