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Simulation based particle swarm optimization of cross-training policies in spare parts supply systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
We study a single location supply system for repairable spare parts. The system consists of a multi-server repair shop and inventory with ready-to-use spare parts. When a failed part is received, a new (or as-good-as-new) ...
Deep learning and low rank dictionary model for mHealth data classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In the context of mobile Health (mHealth) applications, data are prone to several sources of contamination which would lead to false interpretation and misleading classification results. In this paper, a robust deep learning ...
Bayesian network based heuristic for energy aware EEG signal classification
(
SpringerLink
, 2013 , Conference Paper)
A major challenge in the current research of wireless electroencephalograph (EEG) sensor-based medical or Brain Computer Interface applications is how to classify EEG signals as accurately and energy efficient as possible. ...
Dynamic users assignment and bandwidth allocation for energy efficient hybrid powered communication systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, we aim to encourage the use of renewable power in communication systems through hybrid powering. The problem consists of optimizing the resource allocation problem using the hybrid powering from renewable ...
Modified modulation scheme for photovoltaic fed grid-connected three-phase boost inverter
(
IEEE
, 2013 , Conference Paper)
Transformer-less photovoltaic (PV) inverters are the major functional units of modern grid-connected PV energy production systems. In general, two power conversion stages are required when low-voltage unregulated photovoltaic ...
Recommendation System Towards Residential Energy Saving Based on Anomaly Detection
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2022 , Conference Paper)
This paper presents a recommender system to promote energy consumption reduction behaviors in residential buildings. The system exploits data stream processing methods jointly with machine learning algorithms on real-time ...
A New Deep Learning Method for Accurate Cardiac Heart Failure Prediction from RR Interval Measurements
(
IEEE
, 2022 , Conference Paper)
cardiovascular diseases are the major cause of death worldwide. Early detection of heart failure will assist patients and medical professionals in taking better precautions to reduce risks. The objective of this study is ...
Gear Tooth Crack Detection Using Modal Analysis
(
IEEE
, 2022 , Conference Paper)
This paper aims to propose an experimental method to detect and quantify the existence of cracks in spur gear teeth using modal analysis. Frequency Response Functions FRFs obtained analytically in previous work are considered ...
AHLAK YAPISI BOZULMUŞ TOPLUMLARIN ISLAHINDA KURAN-I KERİM’İN ROLÜ
(
Association for Educational Communications and Technology, Sakarya University, Istanbul University
, 2022 , Conference Paper)
Toplumu oluşturan en temel unsur olan insanın, hayatını ilahi vahyin çizdiği sınırlara göre yaşamaması ve
bu suretle de yaşantısının temeline kendi arzu ve isteklerini koyması durumunda ahlaki yapısı vahye aykırı
bireylerin ...
Computational study on the nanotubes formation between olsalazine and β-cyclodextrin
(
Avestia Publishing
, 2017 , Conference Paper)
Interests in cyclodextrin-derived nano-assembled supramolecular systems have recently grown notably [1,2].
Cyclodextrins are a family of oligosaccharides that possess very characteristic features of conical shape with ...