Browsing Faculty of Engineering by Title
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Identification and evaluation of cracks in electrostatically actuated resonant gas sensors using Harris Hawk / Nelder Mead and perturbation methods
(Techno-Press, 2021-01)In this paper we study the static deflection, natural frequency, primary resonance of an electrostatically actuated cracked gas sensor. Besides, a novel hybrid metaheuristic algorithm is proposed to detect the location and ... -
Identification of b-quark jets with the CMS experiment
(IOP Publishing, 2013-04)At the Large Hadron Collider, the identification of jets originating from b quarks is important for searches for new physics and for measurements of standard model processes. A variety of algorithms has been developed by ... -
Identification of common data environment functions during construction phase of BIM-based projects
(Luxembourg Institute of Science and Technology, 2021-10)The utilization of building information modeling (BIM) has been rapidly increasing in the last decade as it stimulates project constructability, quality, efficiency, and success. A well-structured and organized information ... -
Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
(IOP Publishing, 2020-06)Machine-learning (ML) techniques are explored to identify and classify hadronic decays of highly Lorentz-boosted W/Z/Higgs bosons and top quarks. Techniques without ML have also been evaluated and are included for comparison. ... -
Identification techniques for highly boosted W bosons that decay into hadrons
(Springer Nature, 2014-10)A search for neutral Higgs bosons in the minimal supersymmetric extension of the standard model (MSSM) decaying to tau-lepton pairs in pp collisions is performed, using events recorded by the CMS experiment at the LHC. The ... -
Identifying critical architectural components with spectral analysis of fault trees
(Elsevier, 2016-12)We increasingly rely on software-intensive embedded systems. Increasing size and complexity of these hardware/software systems makes it necessary to evaluate reliability at the system architecture level. One aspect of this ... -
IEEE 802.11ac aǧların çok kullanıcılı ÇGÇÇ özelliǧi üzerine incelemeler
(IEEE, 2016)This paper studies the multi-user MIMO feature of IEEE 802.11ac networks that serve, along with IEEE 802.11ac nodes, also legacy IEEE 802.11n nodes. For this purpose, we develop a simulator that models the IEEE 802.11ac ... -
IEEE 802.11bb reference channel models for indoor environments
(2018-09-10)This contribution proposes 802.11bb reference channel models for indoor environments. -
IEEE 802.15.13-compliant visible light communications in vehicular networks
(Taylor & Francis, 2018-01)Current research activities and standardization efforts in intelligent transportation systems (ITS) have mainly focused around the deployment of radio frequency (RF)-based communication techniques for vehicular networking. ... -
IEEE 802.15.7r1 reference channel models for visible light communications
(IEEE, 2017)The IEEE has established the standardization group 802.15.7r1 “Short Range Optical Wireless Communications”, which is currently in the process of developing a standard for visible light communication (VLC). As with any ... -
Image denoising using deep convolutional autoencoder with feature pyramids
(TÜBİTAK, 2020)Image denoising is 1 of the fundamental problems in the image processing field since it is the preliminary step for many computer vision applications. Various approaches have been used for image denoising throughout the ... -
Image registration method for mobile-device-based multispectral optical diagnostics for buildings
(The Optical Society, 2019-09-10)The recent advances in mobile device hardware and software introduced new opportunities to perform more advanced computation and measurements for buildings. Multispectral optical imaging is a widely recognized technique ... -
Imitation and mirror systems in robots through Deep Modality Blending Networks
(Elsevier, 2022-02)Learning to interact with the environment not only empowers the agent with manipulation capability but also generates information to facilitate building of action understanding and imitation capabilities. This seems to be ... -
Immobilization of bacterial cells on natural minerals for self-healing cement-based materials
(Frontiers Media, 2021-04-13)Recent research in the field of concrete materials showed that it might be possible to develop a smart cement-based material that is capable of remediating cracks by Microbial-induced calcium carbonate precipitation (MICP). ... -
Impact of air entraining admixtures on biogenic calcium carbonate precipitation and bacterial viability
(Elsevier, 2017)The applications of self-healing in cement-based materials via biomineralization processes are developing quickly. The main challenge is to find a microorganism that can tolerate the restricted environment of cement paste ... -
Impact of education and experience level on the effectiveness of exploratory testing: an industrial case study
(IEEE, 2017)Exploratory Testing (ET) is a widely applied approach in practice. This approach relies on the knowledge and experience of test engineers and technicians who perform ET. Hence, we aimed at evaluating the impact of education ... -
The impact of electric vehicle charging stations on power distribution grid by statistical and probabilistic simulation
(IEEE, 2020-10-20)Number of electric vehicle charging stations have been increasing for the last decade. They will significantly affect the power distribution grid in terms of increased load and uncertainty. This paper analyzes the impact ... -
Impact of electronics over localized hot spots in multi-chip white LED light engines
(IEEE, 2019)In recent years, demand towards high power white LEDs has risen significantly covering a wide range of application areas. While many industries prefer more light extraction using less number of LED chips on their luminaires, ... -
Impact of functional nanofluid coolant on radiator performance
(ASME, 2019-08)While a number of liquids are preferred in many heating and cooling applications, their thermal capacity can be a limiting factor in many thermal systems. Therefore, a series of methods such as use of mixtures of two or ... -
Impact of gas price on electricity price forecasting via supervised learning and random walk
(IEEE, 2019)The electricity is a regular commodity that is being sold and bought in a highly transparent and efficient market in Turkey. The market is operated by EXIST and an hourly energy price is formed for every hour in the day-ahead ...
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