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Toplam kayıt 5, listelenen: 1-5
A reliable and secure multi-path routing strategy for underwater acoustic sensor networks
(ELSEVIER, 2022)
Underwater Acoustic Sensor Networks (UASNs) have nowadays become an attractive topic in scientific studies
and commercial applications. An important challenge in UASN’s design is the limited network lifetime and ...
Deep learning approaches for vehicle type classification with 3-D magnetic sensor
(ELSEVIER, 2022)
In the Intelligent Transportation Systems, it is crucial to determine the type of vehicles to improve traffic
management, increase human comfort, and enable future development of transport infrastructures. This paper
presents ...
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 ...