In Smart Classroom: Investigating the Relationship between Human-Computer Interaction, Cognitive Load and Academic Emotion.

Incremental Cotton Diseases Detection Based on Aerial Remote Sensing Image and Blockchain Sharding.

Efficient Detection of Cotton Verticillium Wilt by Combining Satellite Time-Series Data and Multiview UAV Images.

An individual adaptive ubiquitous learning paradigm: Focusing on the collection and utilization of academic emotions.

Conversion of infrared ocean target images to visible images driven by energy information.

Few-shot imbalanced classification based on data augmentation.

Sustainable irrigation of pipeline fluid flow rate regulation based on traveling wave magnetic field.

Semisupervised Few-Shot Remote Sensing Image Classification Based on KNN Distance Entropy.

Disturbed-entropy: A simple data quality assessment approach.

Do we really need deep CNN for plant diseases identification?