A Comprehensive Review of Machine Learning Applications for Internet of Nano Things: Challenges and Future Directions

Academic Background In recent years, the rapid development of nanotechnology and the Internet of Things (IoT) has given rise to a revolutionary field—the Internet of Nano Things (IoNT). The IoNT connects nanoscale devices to the internet, enabling them to play significant roles in areas such as agriculture, military, multimedia, and healthcare. How...

Speech Emotion Recognition in Conversations Using Artificial Intelligence: A Systematic Review and Meta-Analysis

Academic Background Emotion Recognition is an important research direction in the fields of Artificial Intelligence (AI) and Affective Computing, with broad application prospects in areas such as healthcare, education, and Human-Computer Interaction (HCI). Speech, as a significant carrier of emotional expression, can convey rich emotional informati...

Challenges in Detecting Security Threats in WoT: A Systematic Literature Review

With the rapid development of the Internet of Things (IoT) and Web of Things (WoT), security issues have become increasingly prominent. In particular, the frequent occurrence of Denial of Service (DoS) attacks has made the security of WoT systems an urgent problem to be addressed. WoT achieves seamless connectivity between IoT devices and the inter...

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...

Three-Way Decision Approach Based on Utility and Dynamic Localization Transformational Procedures within a Circular Q-Rung Orthopair Fuzzy Set for Ranking and Grading Large Language Models

Academic Background With the rapid development of artificial intelligence (AI) and natural language processing (NLP), large language models (LLMs) have made significant progress in both academia and industry. However, despite the outstanding performance of LLMs in multiple NLP tasks, no single model has been able to simultaneously meet all task req...