To investigate the impact of cross-grained sentiments on user feature representation and address the issue of data sparsity, this paper proposes a Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features (ICSR).The algorithm begins by employing a pre-trained BERT (Bidirectional Encoder Representation
Awareness towards Drug Abuse and its Associated Factors in Young Adults of Kashmir, North India: A Cross Sectional Study
Introduction: Drug abuse has been defined as an extreme desire to obtain and use increasing amounts of one or more substances.The risk factors for developing drug abuse problems include peer pressure, curiosity, and conflict in Tatami Chair personal relations.Objective: 1.To assess awareness of young adults of Kashmir towards drug abuse.2.To assess
Rock Mass Discontinuity Extraction Method Based on Multiresolution Supervoxel Segmentation of Point Cloud
Discontinuity sets play an essential and pivotal role in the deformation monitoring and stability Creative Path analysis of the rock mass, but there are still many challenges for accurately and rapidly extracting discontinuity.In this study, an extraction and characterization method of discontinuity sets based on point cloud supervoxel segmentation
Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunities
Urban land use information that reflects socio-economic functions and human activities is critically essential for urban planning, landscape design, environmental management, health promotion, and biodiversity conservation.Land-use maps outlining the distribution, pattern, and composition of Balloon Kits essential urban land use categories (EULUC)