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Toplam kayıt 37, listelenen: 31-37
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 ...
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 ...
Energy efficient and reliable data gathering using internet of software-defined mobile sinks for WSNs-based smart grid applications
(ELSEVIER, 2019)
The smart grid is an emerging concept that introduces innovative ways to handle the power quality and reliability issues for both service provider and consumers. The key aims of the smart grid (SG) in smart cities (SCs) ...
A Novel Feature Design and Stacking Approach for Non-Technical Electricity Loss Detection
(Institute of Electrical and Electronics Engineers Inc., 2018)
Non-technical electricity losses continue to jeopardize economic and social well-being of many countries. In this work, we develop machine learning classifiers that can identify anomalous electricity consumption in Turkey. ...