Survey on Blockchain-based IoT Payment and Marketplaces

Abstract: Spatial-temporal data is increasingly available due to the rapid development of GPS, mobile devices, and remote sensing. Human mobility understanding, smart transportation, urban planning, public safety, health care, and environmental management depend on spatio-temporal…

Abstract: Model parameters store pretrained deep models’ knowledge. These parameters give trained models “memory” to generalize well on unseen data. In the absence of training data, a trained model is only useful for inference or…

Abstract: Object detection is a crucial remote sensing task. Due to multiscale and multiclass object scales, intraclass differences, and interclass similarity, geospatial object detection remains difficult. This letter proposes an end-to-end feature-reflowing pyramid network (FRPNet)…

Abstract: To serve a user, an intelligent robot needs episodic memory to recall a sequence of events from past experiences. ART networks have been used to design episodic memories that incrementally learn new tasks without…

Crossing-City POI Recommendations Using a Deep Neural Network Abstract: With the increasing popularity of location-aware devices, such as smartphones, a vast amount of location-based social media data, including check-ins, is being generated. This has sparked…

Abstract: Deep learning (DL) requires massive data collection. DL is rarely used in applications without a large dataset. Getting enough data takes time, money, and effort. The scientific community uses synthetic images and real data…