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Toplam kayıt 7, listelenen: 1-7
Seamless Mobile Data Offloading in Heterogeneous Wireless Networks based on IEEE 802.21 and User Experience
(IEEE, 2014)
The increase on smartphone usage has brought the burden of data traffic with it. Operators are looking for cost-effective solutions to overcome the problem of 3G infrastructure for high contention traffic scenarios. Several ...
Short Term Electricity Load Forecasting: A Case Study of Electric Utility Market in Turkey
(IEEE, 2015)
With the recent developments in energy sector, the pricing of electricity is now governed by the spot market where a variety of market mechanisms are effective. After the new legislation of market liberalization in Turkey, ...
Performance Evaluations of Next Generation Networks for Smart Grid Applications
(IEEE, 2015)
Smart Grid (SG) can be described as the concept of
modernizing the traditional electrical grid. Through the addition
of SG technologies traditional electrical grids become more
flexible, robust and interactive, and are ...
Man-hour Prediction for Complex Industrial Products
(Institute of Electrical and Electronics Engineers Inc., 2023)
Accurately predicting the cost is crucial for the
success of complex industrial projects. There can be several
sources contributing to the cost. Traditional methods for cost
estimation may not provide the required ...
Linear vs. Non-Linear Embedding Methods in Recommendation Systems
(Institute of Electrical and Electronics Engineers Inc., 2022)
Predicting customer interest in items is very crucial in direct marketing as it can potentially boost sales. Data mining techniques are developed to predict which items a particular user might be interested in based on ...
Traffic Light Management Systems Using Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2022)
While reducing traffic congestion and decrease the
number of traffic accidents in the intersections, most of the traffic
light management approaches cannot adapt well to fast changing
traffic dynamics and growing demands ...
Generating Emergency Evacuation Route Directions Based on Crowd Simulations with Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2022)
In an emergency, it is vital to evacuate individuals
from the dangerous environments. Emergency evacuation planning ensures that the evacuation is safe and optimal in terms of
evacuation time for all of the people in ...