Browsing Computer Science by Title
Now showing items 296-315 of 549
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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 ... -
Machine learning to predict junction temperature based on optical characteristics in solid-state lighting devices: A test on WLEDs
(MDPI, 2022-08)While junction temperature control is an indispensable part of having reliable solid-state lighting, there is no direct method to measure its quantity. Among various methods, temperature-sensitive optical parameter-based ... -
MaLeFICE: Machine learning support for continuous performance improvement in computational engineering
(Wiley, 2022-04-25)Computer aided engineering (CAE) practices improved drastically within the last decade due to ease of access to computing resources and open-source software. However, increasing complexity of hardware and software settings ... -
Manus manum lavat: media clients and servers cooperating with common media client/server data
(ACM, 2021-07-24)The newly rectified CTA standard - Common Media Client Data (CMCD) - allows content providers to get insights into the performance of their large-scale streaming operations. Its sister standard - Common Media Server Data ... -
Marrying WebRTC and DASH for Interactive Streaming
(ACM, 2022-03-17)WebRTC is a set of W3C and IETF standards that allows the delivery of real-time content to users, with an end-to-end latency of under half a second. Support for WebRTC is built into all modern browsers across desktop and ... -
Maximum likelihood estimate of parameters of Nakagami-m distribution
(IEEE, 2012)Nakagami-m distribution is well known for its ability to model a number of probability density functions, be it symmetric or asymmetric. Many Maximum Likelihood parameter estimation techniques for this distribution have ...
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