Browsing Computer Science by Title
Now showing items 327-346 of 549
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MOCMIN: convex inferring of modular low-rank contact networks over COVID diffusion data
(TÜBİTAK, 2022)SEIR (which consists of susceptible, exposed, infected, and recovered states) is a common diffusion model which could model different disease propagation dynamics across various domains such as influenza and COVID diffusion. ... -
A model for cognitively valid lifelong learning
(IEEE, 2023)In continual learning, usually a sequence of tasks are given to a learning agent and the performance of the agent after learning is measured in terms of resistance to catastrophic forgetting, efficacy of knowledge transfer ... -
Model-based runtime monitoring of smart city systems
(Elsevier, 2018)The pace of proliferation for smart systems in city wide applications is unmatched. The introduction of Internet of Things (IoT), an enabler of smart city phenomenon, has incubated a productive environment for such ... -
Model-based software product line testing by coupling feature Mmodels with hierarchical Markov chain usage models
(IEEE, 2016)Model-based testing automates test case generation based on usage models of a system. In this paper, we introduce an approach for systematic reuse of these models for testing a large family of products. In our approach, ... -
Model-based testing of digital TVs: an industry-as-laboratory approach
(Springer Science+Business Media, 2017-12)Model-based testing is a promising approach for increasing the efficiency of the testing process and for improving software quality. It has been employed in the industry for more than a decade. Nevertheless, there are still ... -
Modeling robot trust based on emergent emotion in an interactive task
(IEEE, 2021)Trust is an essential component in human-human and human-robot interactions. The factors that play potent roles in these interactions have been an attractive issue in robotics. However, the studies that aim at developing ... -
Modeling the development of infant imitation using inverse reinforcement learning
(IEEE, 2018-09)Little is known about the computational mechanisms of how imitation skills develop along with infant sensorimotor learning. In robotics, there are several well developed frameworks for imitation learning or so called ... -
Modeling the lighting in scenes as style for auto white-balance correction
(IEEE, 2023)Style may refer to different concepts (e.g. painting style, hairstyle, texture, color, filter, etc.) depending on how the feature space is formed. In this work, we propose a novel idea of interpreting the lighting in the ... -
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 ...
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