AI-Driven Job Scheduling in Cloud Computing: A Comprehensive Review

Academic Background With the rapid development of cloud computing technology, the demand for efficient job scheduling in dynamic and heterogeneous cloud environments has grown significantly. Traditional scheduling algorithms perform well in simple systems but are no longer sufficient for modern, complex cloud infrastructures. Issues such as resourc...

Pythagorean Linguistic Information-Based Green Supplier Selection Using Quantum-Based Group Decision-Making Methodology and the MULTIMOORA Approach

With the increasing severity of global environmental issues, companies are placing greater emphasis on green and sustainable development in supply chain management. Green Supply Chain Management (GSCM) has become a crucial means for enterprises to enhance competitiveness and achieve sustainable development. However, Green Supplier Selection (GSS) i...

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...

Structure and Optical Properties of an Ag135Cu60 Nanocluster Incorporating an Ag135 Buckminsterfullerene-like Topology

Metal nanoclusters are nanoscale materials that bridge the gap between molecules and metals, exhibiting unique physicochemical properties, especially in the study of the relationship between atomic structure and physical properties. In recent years, researchers have shown great interest in organic ligand-protected metal nanoclusters due to their pr...

Impact of Truck Electrification on Air Pollution Disparities in the United States

Academic Background As global climate change intensifies and air pollution becomes increasingly severe, reducing carbon emissions and pollutant emissions in the transportation sector has become a focus for governments and research institutions worldwide. Heavy-duty trucks (Class 8), as the primary means of freight transport in the United States, co...

Economic Costs of Wind Erosion in the United States

Wind erosion and the resulting dust issues have profound impacts on the environment and human society. Since the 1990s, despite significant changes in climate and socioeconomic conditions, the United States has not conducted a comprehensive assessment of the economic costs of wind erosion. In recent years, with global warming, increasing droughts, ...

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...