Narrative Review
Narrative reviews synthesize existing research to provide a comprehensive overview of a specific topic, aiming to identify key trends, gaps, and future research directions. Current research focuses on applying narrative reviews across diverse fields, employing various model architectures like graph neural networks, large language models, and diffusion models to analyze complex data and improve model interpretability and efficiency. This approach is crucial for advancing scientific understanding and informing the development of practical applications in areas such as medicine, engineering, and manufacturing.
Papers
Sentiment Analysis of Persian Language: Review of Algorithms, Approaches and Datasets
Ali Nazarizadeh, Touraj Banirostam, Minoo Sayyadpour
Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications
Shradha Verma, Tripti Goel, M Tanveer
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Talha Azfar, Jinlong Li, Hongkai Yu, Ruey Long Cheu, Yisheng Lv, Ruimin Ke