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Toplam kayıt 3, listelenen: 1-3
Machine learning approaches for underwater sensor network parameter prediction
(ELSEVIER, 2023)
Underwater Acoustic Sensor Networks (UASNs) have recently attracted scientists due to its wide range of real -world applications. However, there are design challenges in UASNs, such as limited network lifetime and low ...
A deep neural network approach with hyper-parameter optimization for vehicle type classification using 3-D magnetic sensor
(ELSEVIER, 2023)
The identification of vehicle types plays a critical role in Intelligent Transportation Systems. In this study, battery-operated, easy-to-install, low-cost 3-D magnetic traffic sensors have been developed for vehicle type ...
Energy consumption of on-device machine learning models for IoT intrusion detection
(ELSEVIER, 2023)
Recently, Smart Home Systems (SHSs) have gained enormous popularity with the rapid
development of the Internet of Things (IoT) technologies. Besides offering many tangible
benefits, SHSs are vulnerable to attacks that ...