Is the suggested food your desired?: Multi-modal recipe recommendation with demand-based knowledge graph

Reinforcement Learning Heuristic Algorithm for Solving the Two-dimensional Strip Packing Problem

Identifying crop diseases using attention embedded MobileNet-V2 model

Crop pest recognition using attention-embedded lightweight network under field conditions

Learning hyperbolic attention-based embeddings for link prediction in knowledge graphs

A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis

Multi-scale U-like network with attention mechanism for automatic pancreas segmentation

Forecasting daily stock trend using multi-filter feature selection and deep learning

Attention embedded lightweight network for maize disease recognition

Identification of plant disease images via a squeeze-and-excitation MobileNet model and twice transfer learning

Feature grouping and selection: A graph-based approach

A cognitive vision method for the detection of plant disease images

AutoFM: an efficient factorization machine model via probabilistic auto-encoders

Research of power load prediction based on boost clustering

A pragmatic convolutional bagging ensemble learning for recognition of Farsi handwritten digits

Neural Embedding Singular Value Decomposition for Collaborative Filtering

Automatic identification of commodity label images using lightweight attention network