Search
Now showing items 271-280 of 404
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning
(Springer, 2020)
Techniques used for spatio-temporal anomaly detection in an unsupervised settings has attracted great attention in recent years. It has extensive use in a wide variety of applications such as: medical diagnosis, sensor ...
On the uniqueness of the octonionic instanton solution on conformally flat 8-manifolds
(IOP Publishing Ltd, 2016)
Let M be an 8-manifold and E be an SO(8) bundle on M. In a previous paper [F. Ozdemir and A.H. Bilge, "Self-duality in dimensions 2n > 4: equivalence of various definitions and the derivation of the octonionic instanton ...
Hybrid MEMS-Based molecular communication system
(Institute of Electrical and Electronics Engineers Inc., 2019)
In this paper, we consider a molecular communication link integrated in a micro-electro mechanical system (MEMS) based environment. We apply acoustic tweezing techniques to the molecular communication system to increase ...
Delineating the concept of corporate social innovation: Toward a multidimensional model
(Inderscience Publishers, 2019)
Business organisations are facing increasing pressure over their role in society. Social innovation is a relatively new concept used to define efforts to develop novel and innovative solutions to social challenges. The aim ...
Effect of temperature and graphene oxide on the swelling of PAAm-GO composite gels
(Avestia Publishing, 2019)
Graphene oxide (GO) is a two dimensional carbon material with similar one-atom thickness, and is a light material having extremely high strength and thermal stability [1]. Thus, GO is an efficient filler for the enhancement ...
Feature Extraction Based on Deep Learning for Some Traditional Machine Learning Methods
(Institute of Electrical and Electronics Engineers Inc., 2018)
Deep learning is a subfield of machine learning and deep neural architectures can extract high level features automatically without handcraft feature engineering unlike traditional machine learning algorithms. In this ...
Representing Earthquake Accelerogram Records for CNN Utilization
(IEEE, 2020)
In this study, a spectrogram based false color representation of earthquake accelergrams is proposed and its usability for both human investigation and its application in convolutional networks are discussed. By using more ...
Orbital Angular Momentum Based Communication Systems Under Atmospheric Turbulence
(IEEE, 2020)
Orbital Angular Momentum (OAM) may be a candidate for future communication systems due to its advantages in terms of high data rates and effective frequency utilization. OAM can provide a solution where a beam is transformed ...
Non-Orthogonal Multiple Access for Terahertz Communication Networks
(IEEE, 2021)
Terahertz communications is one of the promising technologies for the future mobile communication networks. Due to the ever increasing need for high-speed data transfer, higher bandwidths are required. As a solution, higher ...
Website category classification using fine-tuned BERT language model
(Institute of Electrical and Electronics Engineers Inc., 2020)
The contents on the Word Wide Web is expanding every second providing web users a rich content. However, this situation may cause web users harm rather than good due to its harmful or misleading information. The harmful ...