A hybrid transformer-LSTM model detects sarcasm in Punjabi social media text with 94.29 percent accuracy, revealing hidden customer dissatisfaction for...

Researchers have developed a deep learning framework that generates clinically faithful diagnostic reports from low-resolution SPECT bone scans by combining...

A new convolutional neural network surrogate with leaky ReLU activation dramatically accelerates and sharpens the identification of hidden groundwater pollution...

A systematic review of 135 studies reveals that AI recommender systems succeed in online marketplaces only when algorithmic performance, consumer...

A 38-year machine learning study in Mymensingh, Bangladesh, shows LSTM networks forecast daily minimum temperatures with high accuracy but detect...

A survey experiment of 3,820 public sector personnel finds bureaucrats support AI-assisted budgeting more than workforce expansion, with no significant...

A new review maps mutagenesis, metabolic engineering and AI-driven systems biology strategies for boosting astaxanthin yields in the microalga Haematococcus...

A new PRISMA-based systematic review of 108 studies finds that most healthcare AI technologies remain at intermediate technology readiness levels,...

Researchers at the Chinese Academy of Sciences have developed an event-aware CNN–GRU hybrid neural network that accurately predicts transient inlet...

A new triboinformatics study uses gradient boosting, deep learning, and interpretable AI to accurately predict wear and friction in Nitinol...