Deep learning based container text recognition
Traditional character segmentation has low accuracy for container scene text recognition. Convolutional recurrent neural network (CRNN) and connectionist text proposal network (CTPN) […]
Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach
With the cellular networks becoming increasingly agile, a major challenge lies in how to support diverse services for mobile users (MUs) over […]
Enhancing Nutt-Based Time-to-Digital Converter Performance with Internal Systematic Averaging
A time-to-digital converter (TDC) often consists of sophisticated, multilevel, sub-gate delay structures, when time intervals need to be measured precisely. The resolution […]
Optimized Deployment of Millimeter Wave Networks for In-venue Regions with Stochastic Users’ Orientation
Millimeter wave (mmW) communication is a promising solution for providing high-capacity wireless network access. However, the benefits of mmW are limited by […]
Sensor lattices
This paper addresses the sensing uncertainty associated with the many-to-one mapping from a physical state space onto a sensor observation space. By […]
Statistical Modeling and Bit Error Rate Analysis for Bio-sensor Receivers in Molecular Communication
The behavior of bio-sensor receivers is studied for molecular communication (MC). Bacteria can be engineered as a bio-sensor receiver to produce an […]
Pedestrian re-identification based on tree branch network with local and global learning
Deep part-based methods in recent literature have revealed the great potential of learning local part-level representation for pedestrian image in the task […]
Abnormalities of saccadic eye movements in dementia due to Alzheimer’s disease and mild cognitive impairment
Background: There is increasing evidence that people in the early stages of Alzheimer’s disease (AD) have subtle impairments in cognitive inhibition that […]
A Robust Method for MR Image Segmentation and Multiple Scleroses Detection
In the present article, we propose a new approach for the segmentation of the MR images of the Multiple Sclerosis (MS). The […]
Blockchain-based mobility-as-a-service
In this paper, we present a vision for a blockchain-based Mobility-as-a-Service (MaaS) as an application of edge computing. In current MaaS systems, […]