Browsing Computer Science by Title
Now showing items 481-500 of 549
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Summary of an effective formulation of the multi-criteria test suite minimization problem
(IEEE, 2022)This is an extended abstract of the article: Okan Orsan Ozener and Hasan Sozer, 'An Effective Formulation of the Multi-Criteria Test Suite Minimization Problem', published in the Journal of Systems and Software, Vol. 168, ... -
Supervising topic models with Gaussian processes
(Elsevier, 2018-05)Topic modeling is a powerful approach for modeling data represented as high-dimensional histograms. While the high dimensionality of such input data is extremely beneficial in unsupervised applications including language ... -
A survey of decision support mechanisms for negotiation
(Springer, 2023)This paper introduces a dependency analysis and a categorization of conceptualized and existing economic decision support mechanisms for negotiation. The focus of our survey is on economic decision support mechanisms, ... -
A survey of software testing in the cloud
(IEEE, 2012)Cloud computing has emerged as a new computing paradigm that impacts several different research fields, including software testing. Testing cloud applications has its own peculiarities that demand for novel testing methods ... -
A survey on bitrate adaptation schemes for streaming media over HTTP
(IEEE, 2019)In this survey, we present state-of-the-art bitrate adaptation algorithms for HTTP adaptive streaming (HAS). As a key distinction from other streaming approaches, the bitrate adaptation algorithms in HAS are chiefly executed ... -
SUTSEC: SDN Utilized trust based secure clustering in IoT
(Elsevier, 2020-09-04)Internet of Things (IoT) technology consists of huge number of heterogeneous devices that create enormous amount of data. Providing a robust communication for billions of devices is one of the most significant challenges ... -
Swin transformer based siamese network for thermal and optical image registration
(IEEE, 2023)The process of multi-modal image registration is fundamental in remote sensing and visual navigation applications. However, existing image registration methods that are designed for single modality images do not provide ... -
Symbol emergence in cognitive developmental systems: A survey
(IEEE, 2019-12)Humans use signs, e.g., sentences in a spoken language, for communication and thought. Hence, symbol systems like language are crucial for our communication with other agents and adaptation to our real-world environment. ... -
Symbolic knowledge extraction for explainable nutritional recommenders
(Elsevier, 2023-06)Background and objective: This paper focuses on nutritional recommendation systems (RS), i.e. AI-powered automatic systems providing users with suggestions about what to eat to pursue their weight/body shape goals. A ... -
Synergistic human-robot shared control via human goal estimation
(IEEE, 2016)In this paper, we propose and implement a synergistic human-robot collaboration framework, where the robotic system estimates the intent or goal of the human operator while being controlled by the human in real-time. Having ... -
Synthesis of clock trees for sampled-data analog IC blocks
(IEEE, 2013)This paper describes a methodology for automated design of clock trees in Sampled-Data Analog Circuits (SDACs). The current practice in the industry and academia for clock tree design of SDACs is a manual process, which ... -
Take the red pill for H3 and see how deep the rabbit hole goes
(ACM, 2022-03-17)With the introduction of HTTP/3 (H3) and QUIC at its core, there is an expectation of significant improvements in Web-based secure object delivery. As HTTP is a central protocol to the current adaptive streaming methods ... -
Taking inventory changes into account while negotiating in supply chain management
(SciTePress, 2020)In a supply chain environment, supply chain entities need to make joint decisions on the transaction of goods under the issues quantity, delivery time and unit price in order to procure/sell goods at right quantities and ... -
Teaching robots to cooperate with humans in dynamic manipulation tasks based on multi-modal human-in-the-loop approach
(Springer Science+Business Media, 2014-01)We propose an approach to efficiently teach robots how to perform dynamic anipulation tasks in cooperation with a human partner. The approach utilises human sensorimotor learning ability where the human tutor controls the ... -
Test kâhini olarak görüntü karşılaştırma algoritmalarının değerlendirilmesi
(CEUR-WS, 2017)Televizyon gibi yoğun yazılım içeren gömülü sistemlerin kara kutu testleri, grafik kullanıcı arayüzleri (GKA) aracılığıyla gerçekleştirilmektedir. Bu testlerin otomasyonu kapsamında bir dizi kullanıcı işlemi dışarıdan ... -
Testing performance of application containers in the cloud with hpc loads
(Civil-Comp, 2017)In this paper, we evaluate HPC application deployment using container technology and examine performance metrics on a public cloud. The research focuses on the ease of deployment, performance and isolation issues related ... -
TIDY: A trust-based approach to information fusion through diversity
(IEEE, 2013)Trust and reputation are significant components in open dynamic systems for making informed and reliable decisions. State-of-the-art information fusion models that exploit these mechanisms generally rely on reports from ... -
Time series predictive models for opponent behavior modeling in bilateral negotiations
(Springer, 2023)In agent-based negotiations, it is crucial to understand the opponent’s behavior and predict its bidding pattern to act strategically. Foreseeing the utility of the opponent’s coming offer provides valuable insight to the ... -
Time travel in Turkish: WordNets for modern Turkish
(European Language Resources Association (ELRA), 2022)Wordnets have been popular tools for providing and representing semantic and lexical relations of languages. They are useful tools for various purposes in NLP studies. Many researches created WordNets for different languages. ... -
Time-correlated sparsification for communication-efficient federated learning
(IEEE, 2021)Federated learning (FL) enables multiple clients to collaboratively train a shared model, with the help of a parameter server (PS), without disclosing their local datasets. However, due to the increasing size of the trained ...
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