Browsing Computer Science by Title
Now showing items 291-310 of 549
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Joint modeling of histone modifications in 3D genome shape through Hi-C interaction graph
(Springer, 2021)Chromosome conformation capture experiments such as Hi-C are used to map the three-dimensional spatial organization of genomes. Even though Hi-C interactions are not biased towards any of the histone modifications, previous ... -
A journey towards fully immersive media access
(2019)Universal media access (UMA) as proposed almost two decades ago is now reality. We can generate, distribute, share, and consume any media content, anywhere, anytime, and with/on any device. A technical breakthrough was the ... -
A knowledge driven policy framework for internet of things
(ScitePress, 2017)With the proliferation of technology, connected and interconnected devices (henceforth referred to as IoT) are fast becoming a viable option to automate the day-to-day interactions of users with their environment—be it ... -
Kombi̇natoryal test tekni̇kleri̇ni̇n karmaşık olay i̇şleme motorlarında uygulanması
(IEEE, 2012)Testing practice has a critical place during the design, implementation and integration of software, hardware and complex systems composed of these. Cost of failures caused by bugs that could not be detected and fixed early ... -
Konuşmacı aradeğerlemeli SMM tabanlı metinden konuşma sentezleme si̇stemi
(IEEE, 2011)Hidden Markov Model (HMM) based text-to-speech (TTS) systems offer many advantages compared to the concatenative approach. One of those advantages is the ability to interpolate between different speakers to generate new ... -
Lane type classification & distance measurement system for autonomous vehicle
(IEEE, 2023)In this paper, lane type classification and lane distance measurement system are proposed for autonomous vehicles. In the proposed system, the perspective transformation method is applied to the image taken from the vehicle ... -
Language inference with multi-head automata through reinforcement learning
(IEEE, 2020)The purpose of this paper is to use reinforcement learning to model learning agents which can recognize formal languages. Agents are modeled as simple multi-head automaton, a new model of finite automaton that uses multiple ... -
Learning and reasoning in complex coalition information environments: a critical analysis
(IEEE, 2018-09-05)In this paper we provide a critical analysis with metrics that will inform guidelines for designing distributed systems for Collective Situational Understanding (CSU). CSU requires both collective insight - i.e., accurate ... -
Learning medical suturing primitives for autonomous suturing
(IEEE, 2021)This paper focuses on a learning from demonstration approach for autonomous medical suturing. A conditional neural network is used to learn and generate suturing primitives trajectories which were conditioned on desired ... -
Learning system dynamics via deep recurrent and conditional neural systems
(IEEE, 2021)Although there are various mathematical methods for modeling system dynamics, more general solutions can be achieved using deep learning based on data. Alternative deep learning methods are presented in parallel with the ... -
Learning to grasp with parental scaffolding
(IEEE, 2011)Parental scaffolding is an important mechanism utilized by infants during their development. Infants, for example, pay stronger attention to the features of objects highlighted by parents and learn the way of manipulating ... -
A learning-based dependency to constituency conversion algorithm for the turkish language
(European Language Resources Association (ELRA), 2022)This study aims to create the very first dependency-to-constituency conversion algorithm optimised for Turkish language. For this purpose, a state-of-the-art morphologic analyser (Yıldız et al., 2019) and a feature-based ... -
Let’s negotiate with jennifer! towards a speech-based human-robot negotiation
(Springer, 2021)Social robots are becoming prevalent in our society, and most of the time, they need to interact with humans in order to accomplish their tasks. Negotiation is one of the inevitable processes they need to be involved to ... -
LIG at MediaEval 2015 multimodal person discovery in broadcast TV task
(CEUR-WS, 2015)In this working notes paper the contribution of the LIG team (partnership between Univ. Grenoble Alpes and Ozyegin University) to the Multimodal Person Discovery in Broadcast TV task in MediaEval 2015 is presented. The ... -
The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition
(IEEE, 2019)We present the results of the 2nd Annual Human-Agent League of the Automated Negotiating Agent Competition. Building on the success of the previous year's results, a new challenge was issued that focused exploring the ... -
Load and stress testing for SDN’s northbound API
(Springer Nature, 2020-01)In this work, we apply load and stress testing for well-known Software defined networking (SDN) controllers from an SDN application perspective. More precisely, we focus on the communication between the controller and SDN ... -
Location attestation and access control for mobile devices using GeoXACML
(Elsevier, 2017-02)Access control has been applied in various scenarios in the past for negotiating the best policy. Solutions with XACML for access control has been very well explored by research and have resulted in significant contributions ... -
A longitudinal case study on Nexus transformation: Impact on productivity, quality, and motivation
(Wiley, 2023-09)There have been success stories reported regarding the adoption of agile software development methods in the industry. There also exist observations on their limitations. One of these limitations is scalability since agile ... -
A machine learning approach for mechanism selection in complex negotiations
(Springer Nature, 2018-04)Automated negotiation mechanisms can be helpful in contexts where users want to reach mutually satisfactory agreements about issues of shared interest, especially for complex problems with many interdependent issues. A ... -
Machine learning based activity learning for behavioral contexts in Internet of things (IoT)
(Springer Nature, 2020-12)Ontology based activity learning models play a vital role in diverse fields of Internet of Things (IoT) such as smart homes, smart hospitals or smart communities etc. The prevalent challenges with ontological models are ...
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