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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 ...
AHP-BASED APPROACH TO EVALUATE SOLAR POWER PLANT LOCATION ALTERNATIVES
(Intl Inst Social & Economic Sci, 2016)
Solar energy is the most readily available source of energy, and one of the most important sources of the renewable energy, because it is non-polluting and helps in lessening the greenhouse effect. Main problem of establishing ...
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 ...
BLENDING SCIENCE AND ART: AN EDUCATIONAL PERSPECTIVE
(Iated-Int Assoc Technology Education & Development, 2019)
rt and design education enable students to find creative and logical solutions to various design problems. The use of materials, constructive analysis, craftmanship, and originality are some key criteria in the process. ...
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 ...
GRAPH OPTIMIZED LOCALITY PRESERVING PROJECTION VIA HEURISTIC OPTIMIZATION ALGORITHMS
(IEEE, 2019)
Dimensionality reduction has been an active research topic in hyperspectral image analysis due to complexity and non-linearity of the hundreds of the spectral bands. Locality preserving projection (LPP) is a linear extension ...