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Now showing items 4211-4230 of 5783
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Reasoning about uncertain information and conflict resolution through trust revision
(International Foundation for Autonomous Agents and Multiagent Systems, 2013)In information driven MAS, information consumers collect information about their environment from various sources such as sensors. However, there is no guarantee that a source will provide the requested information truthfully ... -
Reasoning types in Industrial Engineering/Operations Management processes
(IEOM Society, 2019)Operations Management/Industrial Engineering modeling process entails a series of research paradigm decisions to be made as to (1) what the reality domain is - ontology, (2) how the problem domain is to be defined and ... -
Reasoning under uncertainty: variations of subjective logic deduction
(IEEE, 2013)This work develops alternatives to the classical subjective logic deduction operator. Given antecedent and consequent propositions, the new operators form opinions of the consequent that match the variance of the consequent ... -
Reasoning with uncertain information and trust
(SPIE, 2013)A limitation of standard Description Logics is its inability to reason with uncertain and vague knowledge. Although probabilistic and fuzzy extensions of DLs exist, which provide an explicit representation of uncertainty, ... -
Reassessment and monitoring of loan applications with machine learning
(Taylor & Francis, 2018-11-26)Credit scoring and monitoring are the two important dimensions of the decision-making process for the loan institutions. In the first part of this study, we investigate the role of machine learning for applicant reassessment ... -
Reassessment of bill management by batteries with various TOU tariffs: A pilot project from Turkey
(IEEE, 2022)Yesilirmak Distribution System Operator, one of Turkey's leading distribution system operators, carried out a pilot project with the support of the university in order to be technically ready when its customers want to ... -
Receive-noise analysis of capacitive micromachined ultrasonic transducers
(IEEE, 2016)This paper presents an analysis of thermal (Johnson) noise received from the radiation medium by otherwise noiseless capacitive micromachined ultrasonic transducer (CMUT) membranes operating in their fundamental resonance ... -
Recent advances in simulating gas permeation through MOF membranes
(Royal Society Publishing, 2021-08-21)In the last two decades, metal organic frameworks (MOFs) have gained increasing attention in membrane-based gas separations due to their tunable structural properties. Computational methods play a critical role in providing ... -
Recent results from the CMS experiment at the LHC
(EDP Sciences, 2014)Numerous studies on Jet Production, Vector Boson Production, V+Jets Production and Multi-Boson Production have been carried out by the Compact Muon Solenoid (CMS) Collaboration to test perturbative quantum chromodynamics ... -
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Reception
(Springer, 2023)In this Chapter, we describe the strategic temporality embedded in the Turkish reception system for Syrian refugees. First, we focus on the effect of laws and how they lead to nuances in multilevel governance on the ground ... -
Reclaim-proof allocation of indivisible objects
(Elsevier, 2013-09)We study desirability axioms imposed on allocations in indivisible object allocation problems. The existing axioms in the literature are various conditions of robustness to blocking coalitions with respect to agentsʼ ex ... -
Reconstruction and identification of τ lepton decays to hadrons and ν<inf>τ</inf> at CMS
(2016-01)This paper describes the algorithms used by the CMS experiment to reconstruct and identify τ → hadrons + ντ decays during Run 1 of the LHC. The performance of the algorithms is studied in proton-proton collisions recorded ... -
Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector
(American Physical Society, 2023-09-05)A novel technique based on machine learning is introduced to reconstruct the decays of highly Lorentz-boosted particles. Using an end-to-end deep learning strategy, the technique bypasses existing rule-based particle ... -
Reconstruction of signal amplitudes in the CMS electromagnetic calorimeter in the presence of overlapping proton-proton interactions
(IOP Publishing, 2020-10)A template fitting technique for reconstructing the amplitude of signals produced by the lead tungstate crystals of the CMS electromagnetic calorimeter is described. This novel approach is designed to suppress the contribution ... -
Recovery decisions of a producer in a legislative disposal fee environment
(Elsevier, 2012-01-16)The main objectives of the environmental legislation originating from extended producer responsibility (EPR) principle are to lead producers to undertake recovery initiatives for their end-of-use products and to promote ... -
Recovery of temporal synchronization error through online 3D tracking with two cameras
(ACM, 2014)Multiple object tracking within a network of cameras with overlapping fields of views has gained interest. The acquisition of images in an asynchronous manner hinders the practical implementation of such systems. Most of ... -
Rectangular slotted square patch antenna with a floating ring
(IEEE, 2017)In this paper, a rectangular slotted square patch antenna with a floating ring and single point feed is presented. The proposed patch antenna, when optimized, achieved the highest gain of 7.17 dB at 7.12 GHz with -6.97 dB ... -
Reducing charging costs for electric vehicles with bi-directional charging
(IEEE, 2023)Electric vehicles (EVs) have gained popularity as eco-friendly and energy-efficient modes of transportation. How-ever, the high cost of charging infrastructure remains a significant barrier to the widespread adoption of ... -
Reducing open vial wastage with lateral transshipment in COVID-19 vaccine administration
After the discovery and production of vaccines for the immunization against COVID-19 pandemic, mass vaccination programs are launched across the world. One of the main challenges faced during the COVID-19 mass vaccination ...
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