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Multi-Source Large Scale Bike Demand Prediction

Description: Current works of bike demand prediction mainly focus on cluster level and perform poorly on predicting demands of a single station. In the first task, we introduce a contextual based bike demand prediction model, which predicts bike demands for per station by combining spatio-temporal network and environment contexts synergistically. Furthermore, since people's movement information is an important factor, which influences the bike demands of each station. To have a better understanding of peopl… more
Date: May 2020
Creator: Zhou, Yang
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Integrating Multiple Deep Learning Models to Classify Disaster Scene Videos

Description: Recently, disaster scene description and indexing challenges attract the attention of researchers. In this dissertation, we solve a disaster-related multi-labeling task using a newly developed Low Altitude Disaster Imagery dataset. In the first task, we realize video content by selecting a set of summary key frames to represent the video sequence. Through inter-frame differences, the key frames are generated. The key frame extraction of disaster-related video clips is a powerful tool that can e… more
Date: December 2021
Creator: Li, Yuan
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries

Reliability Characterization and Performance Analysis of Solid State Drives in Data Centers

Description: NAND flash-based solid state drives (SSDs) have been widely adopted in data centers and high performance computing (HPC) systems due to their better performance compared with hard disk drives. However, little is known about the reliability characteristics of SSDs in production systems. Existing works that study the statistical distributions of SSD failures in the field lack insights into distinct characteristics of SSDs. In this dissertation, I explore the SSD-specific SMART (Self-Monitoring, A… more
Date: December 2021
Creator: Liang, Shuwen (Computer science and engineering researcher)
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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