Browsing Computer Science by Title
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Cooperative multi-task assignment for heterogonous UAVs
(IEEE, 2015)This research is focused on the cooperative multi-task assignment problem for heterogeneous UAVs, where a set of multiple tasks, each requiring a predetermined number of UAVs, have to be completed at specific locations. ... -
COSMOS on steroids: a Cheap detector for cheapfakes
(The ACM Digital Library, 2021)The growing prevalence of visual disinformation has become an important problem to solve nowadays. Cheapfake is a new term used for the altered media generated by non-AI techniques. In their recent COSMOS work, the authors ... -
Cost minimization for deploying serverless functions
(ACM, 2021-03)The costs of serverless functions increase proportional to the amount of memory reserved on the deployed server. However, increasing the amount of memory decreases the function execution time, which is also a factor that ... -
Cost-benefit approach to degradation of electrolytic capacitors
(IEEE, 2014)Aluminum electrolytic capacitors are widely used as a filter or bulky capacitor after rectification stages of switching power supplies (SMPS). Fly-back, forward, and resonant converter topologies, which are widely used in ... -
Could head motions affect quality when viewing 360° videos?
(IEEE, 2023-04-01)Measuring quality accurately and quickly (preferably in real time) when streaming 360° videos is essential to enhance the user experience. Most quality-of-experience metrics have primarily used viewport quality as a simple ... -
CPU design simplified
(IEEE, 2018-12-10)The first goal of this paper is to introduce a simple and customizable soft CPU named VerySimpleCPU (VSCPU), which could be easily implemented on FPGAs with a complete toolchain including instruction set simulator, assembler, ... -
Creating domain dependent Turkish WordNet and SentiNet
(Global WordNet Association, 2021)A WordNet is a thesaurus that has a structured list of words organized depending on their meanings. WordNet represents word senses, all meanings a single lemma may have, the relations between these senses, and their ... -
Cross-lingual speaker adaptation for statistical speech synthesis using limited data
(Interspeech, 2016)Cross-lingual speaker adaptation with limited adaptation data has many applications such as use in speech-to-speech translation systems. Here, we focus on cross-lingual adaptation for statistical speech synthesis (SSS) ... -
CWT-DPA: Component-wise waiting time for BC-enabled data plane authentication
(Elsevier, 2022-11-24)Software-Defined Networking (SDN) is a promising networking paradigm that brings central management and network programmability to improve existing networking systems. However, SDN has several security threats due to its ... -
DAPNA: an architectural framework for data processing networks
(Springer Science+Business Media, 2013)A data processing network is as a set of (software) components connected through communication channels to apply a series of operations on data. Realization and maintenance of large-scale data processing networks necessitate ... -
Darbe i̇şaretleri̇ i̇çi̇n aşırı-hızlı FPGA tabanlı eǧri̇ beti̇mlenmesi̇
(IEEE, 2012)Bu çalışmada anlatılan donanım 1.5 GHz Analog-Sayısal- Çevirici’den gelen darbe işaret dizisini işleyebilmekte ve darbe işaretlerini genlik, yükselme/düşme süresi ve varış zamanı parametreleriyle özetleyebilmektedir. Söz ... -
Data model extension impact analysis
(IEEE, 2021)Relational database schemas are subject to change. For instance, columns of a table can be modified, deleted or extended. These changes have an impact on the source code that utilizes the corresponding table. They also ... -
Data stream analytics and mining in the cloud
(IEEE, 2012)Due to prevalent use of sensors and network monitoring tools, big volumes of data or “big data” today traverse the enterprise data processing pipelines in a streaming fashion. While some companies prefer to deploy their ... -
Data-driven bandwidth prediction models and automated model selection for low latency
(IEEE, 2021)Today's HTTP adaptive streaming solutions use a variety of algorithms to measure the available network bandwidth and predict its future values. Bandwidth prediction, which is already a difficult task, must be more accurate ... -
A decentralized token-based negotiation approach for multi-agent path finding
(Springer, 2021)This paper introduces a negotiation approach to solve the Multi-Agent Path Finding problem. The approach aims to achieve a good trade-off between the privacy of the agents and the effectiveness of solutions. Accordingly, ... -
Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources
(Springer, 2024-02-12)Speech synthesis has made significant strides thanks to the transition from machine learning to deep learning models. Contemporary text-to-speech (TTS) models possess the capability to generate speech of exceptionally high ... -
Deep multi-object symbol learning with self-attention based predictors
(IEEE, 2023)This paper proposes an architecture that can learn symbolic representations from the continuous sensorimotor experience of a robot interacting with a varying number of objects. Unlike previous works, this work aims to ... -
Deep reinforcement learning for acceptance strategy in bilateral negotiations
(TÜBİTAK, 2020)This paper introduces an acceptance strategy based on reinforcement learning for automated bilateral negotiation, where negotiating agents bargain on multiple issues in a variety of negotiation scenarios. Several acceptance ... -
Deepsym: Deep symbol generation and rule learning for planning from unsupervised robot interaction
(AI Access Foundation, 2022)Symbolic planning and reasoning are powerful tools for robots tackling complex tasks. However, the need to manually design the symbols restrict their applicability, especially for robots that are expected to act in open-ended ... -
Defect-aware nanocrossbar logic mapping through matrix canonization using two-dimensional radix sort
(ACM, 2011-08)Nanocrossbars (i.e., nanowire crossbars) offer extreme logic densities but come with very high defect rates; stuck-open/closed, broken nanowires. Achieving reasonable yield and utilization requires logic mapping that is ...
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