Fast Machine Learning for Building Management Systems

Engineering, Architecture and Civil Engineering, Electrical Engineering, Information Science, Artificial Intelligence,
Fast Machine Learning   Building Management Systems   Energy Forecasting   Hardware Accelerators   Building Automation  

Academic Background With the intensification of the global energy crisis and the increasing awareness of environmental protection, the intelligence and efficiency of Building Management Systems (BMS) have become a focal point in both academia and industry. Traditional BMS relies on rule-based control methods, which are unable to dynamically adapt t...

Enhancing Decentralized Energy Storage Investments with Artificial Intelligence-Driven Decision Models

Chemistry, Energy Chemistry, Engineering, Environmental Engineering, Energy Engineering, Information Science, Artificial Intelligence,
decentralized energy storage   energy investments   energy efficiency   Q-learning   molecular fuzzy sets  

Academic Background As the global energy structure transitions towards renewable energy, the importance of decentralized energy storage is becoming increasingly prominent. Unlike traditional centralized energy storage systems, decentralized energy storage localizes the energy production and storage processes, reducing the risk of large-scale system...

Power Aggregation Operators Based on Aczel-Alsina T-Norm and T-Conorm for Intuitionistic Hesitant Fuzzy Information and Their Application to Logistics Service Provider Selection

Engineering, Transportation Engineering, Information Science, Computer Science, Artificial Intelligence,
Power Aggregation Operators   Decision-Making Technique   Intuitionistic Hesitant Fuzzy Sets   Logistics Service Provider Selection   Aczel-Alsina T-Norm  

Academic Background In modern supply chain management, the selection of logistics service providers is a complex and critical issue. Enterprises need to evaluate and choose third-party organizations capable of efficiently managing and executing logistics tasks. However, the decision-making process in reality often involves significant uncertainty a...

A Systematic Survey of Hybrid ML Techniques for Predicting Peak Particle Velocity (PPV) in Open-Cast Mine Blasting Operations

Engineering, Mining and Metallurgical Engineering, Environmental Engineering, Information Science, Computer Science, Artificial Intelligence,
Peak Particle Velocity   Machine Learning   Ground Vibration   Air Over Pressure   Flyrock  

Blasting operations in open-cast mines are crucial for mineral extraction but also come with significant environmental and structural risks. The peak particle velocity (PPV) generated during blasting is a key metric for assessing the impact of blasting vibrations on surrounding structures and the environment. Accurate PPV prediction is essential fo...

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

Engineering, Environmental Engineering, Information Science, Computer Science, Artificial Intelligence,
Pythagorean Linguistic Set   MULTIMOORA   Quantum Probability Theory   Multi-Criteria Group Decision-Making   Green Supplier Selection  

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

Chemistry, Nanoscience, Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
Machine Learning   Internet of Nano Things   Data Security   Anomaly Detection   Nanoscale Communication  

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...

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

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
security threats   WoT   DoS attacks   deep learning   intrusion detection systems   systematic literature review   IoT  

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...

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

Engineering, Environmental Engineering, Transportation Engineering, Energy Engineering, Medicine, Environmental and Public Health,
truck electrification   air pollution   United States   environmental justice   emission reduction   health impacts   grid decarbonization  

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

Earth Sciences, Atmospheric Science, Engineering, Environmental Engineering, Medicine, Environmental and Public Health,
wind erosion   economic costs   climate change   health impacts   renewable energy   transportation   agricultural loss  

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

Chemistry, Chemical Engineering, Engineering, Environmental Engineering, Electrical Engineering, Energy Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
Perovskite Light-Emitting Diodes   Sustainability   Life Cycle Assessment   Environmental Impact   Economic Cost   Technical Improvement   Commercialization  

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...