Learning Semantic Consistency for Audio-Visual Zero-Shot Learning

Information Science, Computer Science, Artificial Intelligence,
Audio-Visual Zero-Shot Learning   Video Classification   Attention Mechanism   Hyperbolic Geometry   Semantic Consistency  

Academic Background In the field of artificial intelligence, Zero-Shot Learning (ZSL) is an extremely challenging task that aims to recognize unseen classes by leveraging knowledge from seen classes. Audio-Visual Zero-Shot Learning (AVZSL), a branch of ZSL, seeks to classify unseen classes by combining audio and visual information. However, many ex...

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...

Artificial Intelligence in Chemical Exchange Saturation Transfer Magnetic Resonance Imaging

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
Artificial Intelligence   Chemical Exchange Saturation Transfer   Magnetic Resonance Imaging   Machine Learning   Medical Image Processing  

Academic Background Chemical Exchange Saturation Transfer (CEST) Magnetic Resonance Imaging (MRI) is an advanced non-invasive imaging technique that provides detailed molecular information about living tissues. CEST MRI works by selectively saturating exchangeable protons of specific metabolites and transferring this saturation to water molecules, ...

Comparative Analysis of Methodologies and Approaches in Recommender Systems Utilizing Large Language Models

Information Science, Computer Science, Artificial Intelligence,
Recommender Systems   Large Language Models   Natural Language Processing   User Modeling   Collaborative Filtering   Parameter-Efficient Fine-Tuning  

Academic Background With the explosive growth of internet information, recommender systems (RSs) have become indispensable in modern digital life. Whether it’s movie recommendations on Netflix or personalized news feeds on social media, recommender systems are reshaping users’ online experiences. However, traditional recommender systems face numero...

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...