Face Forgery Detection Based on Fine-grained Clues and Noise Inconsistency

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
face forgery   deepfake detection   noise inconsistency   fine-grained clues   dual-domain attention fusion   transformer network   compressed domain  

In-depth Exploration of Face Forgery Detection Based on Fine-Grained Clues and Noise Inconsistency Background Introduction With the rapid advancement of artificial intelligence (AI) technologies, various generative models have achieved remarkable progress. This has made it increasingly easy to generate highly realistic “deepfake” face images. These...

An Improved and Explainable Electricity Price Forecasting Model via SHAP-Based Error Compensation Approach

Engineering, Energy Engineering, Information Science, Electronic Information, Artificial Intelligence,
electricity price forecasting   explainable artificial intelligence   SHAP method   error compensation   neural networks   electricity markets   price volatility  

Improved Electricity Price Forecasting Model Based on SHAP and Its Explainability Analysis Background and Research Motivation Electricity price forecasting (EPF) models have become a hot research topic in recent years, particularly due to the financial impact of market volatility on stakeholders. Especially in European energy markets, recent years ...

Efficient CORDIC-based Activation Function Implementations for RNN Acceleration on FPGAs

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
CORDIC   RNN   activation function   FPGA   hardware acceleration   natural language processing   edge devices  

Efficient Implementation of RNN Activation Functions: Breakthroughs in CORDIC Algorithms and FPGA Hardware Acceleration Background and Research Significance In recent years, with the rapid advancement of deep learning technologies, Recurrent Neural Networks (RNNs), particularly Long Short-Term Memory (LSTM) networks, have demonstrated powerful capa...

Cooperative Output Regulation of Heterogeneous Directed Multi-Agent Systems: A Fully Distributed Model-Free Reinforcement Learning Framework

Engineering, Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence,
heterogeneous systems   multi-agent systems   model-free reinforcement learning   event-triggered control   directed graphs   distributed control   cooperative output regulation  

Research on Cooperative Output Regulation of Heterogeneous Directed Multi-Agent Systems: A Fully Distributed Model-Free Reinforcement Learning Framework Background In recent years, the study of distributed control and optimization has demonstrated broad application prospects in smart transportation, smart grids, distributed energy systems, and othe...

A Practical Distributed Randomness Beacon with Optimal Amortized Communication Complexity

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
randomness beacon   optimal communication complexity   permissionless setting   random number   timed commitment   distributed protocol   bias-resistance  

Cutting-edge Breakthrough in Distributed Randomness Beacon (DRB) Research — A Practical Solution Optimizing Communication Complexity for Large-scale Applications In numerous technological fields today, a reliable randomness beacon is a critical tool, playing a vital role in the security of cryptography, blockchain, electronic voting, and many other...