KFBin: Kalman Filter-Based Approach for Document Image Binarization
In this paper, we propose a novel two-step approach, called [...]
Unsupervised exemplar-based learning for improved document image classification
Many recent state-of-the-art approaches for document image classification are based [...]
Multi features and multi-time steps LSTM based methodology for bike sharing availability prediction
Most cities in the world promote bike-sharing services to encourage [...]
A hybrid GPU-FPGA based design methodology for enhancing machine learning applications performance
The high-density computing requirements of machine learning (ML) is a [...]
TCO Game in 5G Multi-Tenant Virtualized Mobile BackHaul (V-MBH) Network
Abstract: Raising density and ever-increasing traffic demand within future 5G [...]
Machine-Learning-Based Cognitive Spectrum Assignment for 5G URLLC Applications
Abstract: As one of the main scenarios in 5G mobile [...]
Optimized Flow Assignment in a Multi-Interface IoT Gateway
Abstract: The last few years have witnessed a significant increase [...]
Embedding Multiple-Step-Ahead Traffic Prediction in Network Energy Efficiency Problem
Abstract: Adaptive Link Rate (ALR) is widely used to save [...]
Dynamic QoS-aware Queuing for Heterogeneous Traffic in Smart Home
Abstract: Smart home gateways have to forward multi-sourced network traffic [...]
TCO Planning Game for 5G Multi-Tenant Virtualized Mobile BackHaul (V-MBH) Network
Abstract: Raising density and ever-increasing traffic demand within future 5G [...]