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Found 7 papers, 0 papers with code
Large-Scale Cell-Level Quality of Service Estimation on 5G Networks Using Machine Learning Techniques
This study presents a general machine learning framework to estimate the traffic-measurement-level experience rate at given throughput values in the form of a Key Performance Indicator for the cells on base stations across various cities, using busy-hour counter data, and several technical parameters together with the network topology.
Building Segmentation on Satellite Images and Performance of Post-Processing Methods
We aim to present our initial experimental results of a building segmentation from satellite images in this study.
Semi-Supervised Domain Adaptation for Semantic Segmentation of Roads from Satellite Images
This paper presents the preliminary findings of a semi-supervised segmentation method for extracting roads from sattelite images.
Minimum Class Confusion based Transfer for Land Cover Segmentation in Rural and Urban Regions
We compare models trained in low-resolution images with insufficient data for the targeted region or zoom level.
Cheating Detection Pipeline for Online Interviews and Exams
To evaluate the performance of the pipeline we collected a private video dataset.
A Case Study: Using Genetic Algorithm for Job Scheduling Problem
In this study, it is aimed to 1) automatically determine the priority of jobs to reduce the waiting time in the line, 2) automatically allocate the machine resource to each job.
FOGA: Flag Optimization with Genetic Algorithm
Recently, program autotuning has become very popular especially in embedded systems, when we have limited resources such as computing power and memory where these systems run generally time-critical applications.
