10 publication(s) trouvée(s)
Article scientifique
Surgical-aware video masked autoencoders with phase-conditioned attention for laparoscopic action recognition
Fine-grained surgical action recognition in laparoscopic videos remains a challenge, even with recent advances in deep learning. While current VideoMAE …
Article scientifique
Enhanced intrusion detection in smart grids using extended long short-term memory variants
Smart grid systems, which integrate traditional energy infrastructure with modern communication technologies, face significant cybersecurity challenges due to their dynamic …
Article scientifique
Edge optimized multimodal cross fusion model with statistical validation for multi crop disease detection
Accurate and timely crop disease detection is crucial for mitigating agricultural losses and ensuring food security, particularly in resource-limited settings. …
Article scientifique
Predictive optimization in automotive supply chains: a BiLSTM-Attention and reinforcement learning approach
Effective supply chain management is pivotal for enhancing customer satisfaction and driving competitiveness and profitability in the automotive service and …
Article scientifique
Predicting extreme events in the stock market using generative adversarial networks
Accurately predicting extreme stock market fluctuations at the right time will allow traders and investors to make better-informed investment decisions …
Article scientifique
Ensemble deep models for covid-19 pandemic classification using chest x-ray images via different fusion techniques
A pandemic epidemic called the coronavirus (COVID-19) has already afflicted people all across the world. Radiologists can visually detect coronavirus …
Article scientifique
Gender recognition based fingerprints using dynamic horizontal voting ensemble deep learning
Despite tremendous advancements in gender equality, there are still persistent gender disparities, especially in important human activities. Consequently, gender inequality …
Article scientifique
A hybrid ensemble deep learning approach for reliable breast cancer detection
Among the cancer diseases, breast cancer is considered one of the most prevalent threats requiring early detection for a higher …
Article scientifique
A new family of kernels from the beta polynomial kernels with applications in density estimation
One of the fundamental data analytics tools in statistical estimation is the non-parametric kernel method that involves probability estimates production. …
Article scientifique
Detection and localization enhancement for satellite images with small forgeries using modified GAN-based CNN structure
The image forgery process can be simply defined as inserting some objects of different sizes to vanish some structures or …