Browsing Computer Science by Title
Now showing items 258-277 of 549
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A hybrid reasoning mechanism for effective sensor selection for tasks
(Elsevier, 2013-02)In this paper, we present Ontological Logic Programming (OLP), a novel approach that combines logic programming with ontological reasoning. OLP enables the use of ontological terms (i.e., individuals, classes and properties) ... -
Hybrid statistical/unit-selection Turkish speech synthesis using suffix units
(Springer International Publishing, 2016-12)Unit selection based text-to-speech synthesis (TTS) has been the dominant TTS approach of the last decade. Despite its success, unit selection approach has its disadvantages. One of the most significant disadvantages is ... -
IBAM: IPFS and blockchain based authentication for MQTT protocol in IoT
(IEEE, 2023)Decentralized systems have proven themselves as a dominant authentication and storage paradigm for IoT systems where smartwatches are integrated with MQTT messaging framework for transmitting medical data to doctors. ... -
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 ... -
Illumination-guided inverse rendering benchmark: Learning real objects with few cameras
(Elsevier, 2023-10)The realm of 3D computer vision and graphics has experienced exponential growth recently, enabling the creation of realistic virtual environments and digital representations of real-world objects. Central to this progression ... -
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 ... -
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 ... -
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 ... -
Implementation of SAND architecture Using SDN
(IEEE, 2018)The server and network-assisted DASH (SAND) concept aims to increase the performance of Dynamic Adaptive Streaming over HTTP (DASH) systems. As being one of the future Internet technologies, SDN provides advantages to ... -
Implementing quantum finite automata algorithms on noisy devices
(Springer, 2021)Quantum finite automata (QFAs) literature offers an alternative mathematical model for studying quantum systems with finite memory. As a superiority of quantum computing, QFAs have been shown exponentially more succinct ... -
Improved homographic adaptation for keypoint generation in cross-spectral registration of thermal and optical imagery
(SPIE, 2023)Autonomous navigation is an important area of research for aerial vehicles. Visual odometry and simultaneous localization and mapping algorithms are critical for the three-dimensional understanding of the environment. For ... -
Improving automatic emotion recognition from speech signals
(International Speech Communications Association, 2009)We present a speech signal driven emotion recognition system. Our system is trained and tested with the INTERSPEECH 2009 Emotion Challenge corpus, which includes spontaneous and emotionally rich recordings. The challenge ... -
Improving models for model-based testing based on exploratory testing
(IEEE, 2014)Model-based testing facilitates automatic generation of test cases by means of models of the system under test. Correctness and completeness of these models determine the effectiveness of the generated test cases. Critical ... -
Improving models for model-based testing based on exploratory testing
(2014-08)Model bazlı test, test edilen sistemin modelleri sayesinde otomatik olarak test senaryoları oluşturulmasını sağlar. Bu modellerin doğruluğu ve tamlığı oluşturulan test senaryolarının etkinliğini belirler. Genelde manuel ... -
Improving regression performance on monocular 3D object detection using bin-mixing and sparse voxel data
(IEEE, 2021)Accurate and fast 3D object detection plays a role of paramount importance for safe and capable autonomous machines. LiDAR point cloud based methods have demonstrated impressive results, yet expensive LiDAR sensors make ... -
Improving server and client-side algorithms for adaptive streaming of non-immersive and immersive media
(The ACM Digital Library,, 2021)HTTP adaptive streaming is a technique widely used in the internet today to stream live and on-demand content. Server and client-side algorithms play an important role in achieving a better user experience in terms of ... -
An in-depth look at prior art in fast round-robin arbiter circuits
(Özyeğin University, 08.01.2011)Arbiters are found where shared resources exist such as busses, switching fabrics, processing elements. Round-robin is a fair arbitration method, where requestors get near-equal shares of a common resource or service. ... -
Increasing test efficiency by risk-driven model-based testing
(Elsevier, 2018-10)We introduce an approach and a tool, RIMA, for adapting test models used for model-based testing to augment information regarding failure risk. We represent test models in the form of Markov chains. These models comprise ... -
Incremental analysis of large-scale system logs for anomaly detection
(IEEE, 2019)Anomalies during system execution can be detected by automated analysis of logs generated by the system. However, large scale systems can generate tens of millions of lines of logs within days. Centralized implementations ...
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