Browsing Computer Science by Title
Now showing items 335-354 of 549
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MOO: An architectural framework for runtime optimization of multiple system objectives in embedded control software
(Elsevier, 2013-10)Today's complex embedded systems function in varying operational conditions. The control software adapts several control variables to keep the operational state optimal with respect to multiple objectives. There exist ... -
Morpholex Turkish: A morphological lexicon for Turkish
(European Language Resources Association (ELRA), 2022)MorphoLex is a study in which root, prefix and suffixes of words are analyzed. With MorphoLex, many words can be analyzed according to certain rules and a useful database can be created. Due to the fact that Turkish is an ... -
Moving switching functions to continuous domain
(IEEE, 2016)This paper proposes a method for moving switching functions to continuous domain. The benefits of this approach are twofold. First, the elementary calculus works with the transformed functions. Second, this transformation ... -
A multi-channel real time implementation of dual tree complex wavelet Transform in field programmable gate arrays
(Springer International Publishing, 2016)In medical applications, biomedical acquisition systems (BASs) are frequently used in order to diagnose and monitor critical conditions such as stroke, epilepsy, Alzheimer disease, arrhythmias and etc. Biomedical signals ... -
Multi-lingual depression-level assessment from conversational speech using acoustic and text features
(International Speech Communication Association, 2018)Depression is a common mental health problem around the world with a large burden on economies, well-being, hence productivity, of individuals. Its early diagnosis and treatment are critical to reduce the costs and even ... -
A multi-sensor integrated head-mounted display setup for augmented reality applications
(IEEE, 2015)We present an HMD based AR system comprising visual and inertial sensors. The visual sensor is a camera pair and the inertial sensors consist of an accelerometer and a gyroscope. We discuss the temporal and spatial calibration ... -
Multimodal reinforcement learning for partner specific adaptation in robot-multi-robot interaction
(IEEE, 2022)Successful and efficient teamwork requires knowledge of the individual team members' expertise. Such knowledge is typically acquired in social interaction and forms the basis for socially intelligent, partner-Adapted ... -
Multivariate sensor data analysis for oil refineries and multi-mode identification of system behavior in real-time
(IEEE, 2018)Large-scale oil refineries are equipped with mission-critical heavy machinery (boilers, engines, turbines, and so on) and are continuously monitored by thousands of sensors for process efficiency, environmental safety, and ... -
Mutation testing of PL/SQL programs
(Elsevier, 2022-10)Mutation testing is a prominent technique for evaluating the effectiveness of a test suite. Existing tools developed for supporting this technique are applicable for mainstream programming languages like C and Java. Mutation ... -
NatiQ: An end-to-end text-to-speech system for arabic
(Association for Computational Linguistics (ACL), 2022)NatiQ is end-to-end text-to-speech system for Arabic. Our speech synthesizer uses an encoder-decoder architecture with attention. We used both tacotron-based models (tacotron-1 and tacotron-2) and the faster transformer ... -
Natural language features for detection of Alzheimer's disease in conversational speech
(IEEE, 2014)Automatic monitoring of the patients with Alzheimer's disease and diagnosis of the disease in early stages can have a significant impact on the society. Here, we investigate an automatic diagnosis approach through the use ... -
A near Pareto optimal approach to student–supervisor allocation with two sided preferences and workload balance
(Elsevier, 2019-03)The problem of allocating students to supervisors for the development of a personal project or a dissertation is a crucial activity in the higher education environment, as it enables students to get feedback on their work ... -
Nearest neighbor approach in speaker adaptation for HMM-based speech synthesis
(IEEE, 2013)Statistical speech synthesis (SSS) approach has become one of the most popular and successful methods in the speech synthesis field. Smooth speech transitions, without the spurious errors that are observed in unit selection ... -
Need for low latency: Media over QUIC
(ACM, 2023-06-16)This paper overviews developing a low-latency solution for media ingest and distribution, the work undertaken by the IETF's new Media over QUIC (moq) working group. It summarizes the motivation, goals, current work and ... -
NEEL: The nested complex event language for real-time event analytics
(Springer International Publishing, 2011)Complex event processing (CEP) over event streams has become increasingly important for real-time applications ranging from health care, supply chain management to business intelligence. These monitoring applications submit ... -
Negotiation for incentive driven privacy-preserving information sharing
(Springer International Publishing, 2017)This paper describes an agent-based, incentive-driven, and privacy-preserving information sharing framework. Main contribution of the paper is to give the data provider agent an active role in the information sharing process ... -
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Networking standards
(IEEE, 2017-03)The article in this special section focus on the market for new networking technologies. Networking technologies are advancing faster than ever before. Aspects driving this change in velocity is the need to support faster, ... -
NFT primary sale price and secondary sale prediction via deep learning
(Association for Computing Machinery, Inc, 2023-11-27)Non Fungible Tokens (NFTs) are blockchain-based unique digital assets defining ownership deeds. They can characterize various different objects such as collectible, art, and in-game items. In general, NFTs are encoded by ... -
Not all mistakes are equal
(The ACM Digital Library, 2020)In many tasks, classifiers play a fundamental role in the way an agent behaves. Most rational agents collect sensor data from the environment, classify it, and act based on that classification. Recently, deep neural networks ...
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