Browsing by Keywords "Artificial intelligence"
Now showing items 21-40 of 56
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Detection of myocardial infarction using autonomic nervous system, Gaussian mixture model and artificial neural network
(Institute of Electrical and Electronics Engineers, 2020)In this study, a new technique which detects anomalies in skin sympathetic nerve activity (SKNA) and ECG by using state-of- the-art signal processing and machine learning methods is developed to perform the robust detection ... -
Directionally selective fractional wavelet transform using a 2-d non-separable unbalanced lifting structure
(Springer, Berlin, Heidelberg, 2012)In this paper, we extend the recently introduced concept of fractional wavelet transform to obtain directional subbands of an image. Fractional wavelet decomposition is based on two-channel unbalanced lifting structures ... -
Diverse consequences of algorithmic probability
(Springer, Berlin, Heidelberg, 2013)We reminisce and discuss applications of algorithmic probability to a wide range of problems in artificial intelligence, philosophy and technological society. We propose that Solomonoff has effectively axiomatized the field ... -
Do computer games enhance learning about conflicts? A cross-national inquiry into proximate and distant scenarios in Global Conflicts
(Pergamon Press, 2015)Interactive conflict resolution and peace education have developed as two major lines of practice to tackle intractable inter-group conflicts. Recently, new media technologies such as social media, computer games, and ... -
An energy efficient additive neural network
(IEEE, 2017)In this paper, we propose a new energy efficient neural network with the universal approximation property over space of Lebesgue integrable functions. This network, called additive neural network, is very suitable for ... -
Estimating the chance of success in IVF treatment using a ranking algorithm
(Springer, 2015)In medicine, estimating the chance of success for treatment is important in deciding whether to begin the treatment or not. This paper focuses on the domain of in vitro fertilization (IVF), where estimating the outcome of ... -
An experimental study on speech interference in public leisure spaces
(Institute of Noise Control Engineering, 2010)Physical comfort requirements of users in the non-acoustical spaces, leisure space, and usability of the space in long-term period should be taken into consideration in terms of sustainability of the space. The aim of this ... -
Flame detection for video-based early fire warning for the protection of cultural heritage
(2012-10-11)Cultural heritage and archaeological sites are exposed to the risk of fire and early warning is the only way to avoid losses and damages. The use of terrestrial systems, typically based on video cameras, is currently the ... -
Generalizing predicates with string arguments
(Springer New York LLC, 2006-06)The least general generalization (LGG) of strings may cause an over-generalization in the generalization process of the clauses of predicates with string arguments. We propose a specific generalization (SG) for strings to ... -
Heterogeneous inference in design
(Publ by ASME, New York, NY, United States, 1992)For those of us involved in the attempt to construct formal models and environments in which the world of design can be subjected to scientific experimentation, the raison d'etre of logic has been rather well-understood. ... -
Improving genome assemblies using multi-platform sequence data
(Springer, 2015-09)Accurate de novo assembly using short reads generated by next generation sequencing technologies is still an open problem. Although there are several assembly algorithms developed for data generated with different sequencing ... -
Interactive training of advanced classifiers for mining remote sensing image archives
(ACM, 2004)Advances in satellite technology and availability of down-loaded images constantly increase the sizes of remote sensing image archives. Automatic content extraction, classification and content-based retrieval have become ... -
Investigation of multi-objective optimization criteria for RNA design
(IEEE, 2017-12)RNA design is the inverse of RNA folding and it appears to be NP-hard. In RNA design, a secondary structure is given and the goal is to find a nucleotide sequence that will fold into this structure. To find such sequence(s) ... -
Issues in commonsense set theory
(Springer/Kluwer Academic Publishers, 1994)The success of set theory as a foundation for mathematics inspires its use in artificial intelligence, particularly in commonsense reasoning. In this survey, we briefly review classical set theory from an AI perspective, ... -
Kayseri ve Türkiye’nin yapay zekâ konusundaki öncüsü: Derviş Karaboğa
(Bilkent University, 2022)Yapay zekâ, özellikle son yıllarda bilgisayar kullanıcılarının sıkça duyduğu bir terim olmasına rağmen oldukça yeni bir alandır. Bu alan özellikle son yirmi beş yılda büyük atılımlar ile birçok insanın hayatının bir ... -
L1 norm based multiplication-free cosine similarity measures for big data analysis
(IEEE, 2014-11)The cosine similarity measure is widely used in big data analysis to compare vectors. In this article a new set of vector similarity measures are proposed. New vector similarity measures are based on a multiplication-free ... -
A machine learning approach for result caching in web search engines
(Elsevier, 2017)A commonly used technique for improving search engine performance is result caching. In result caching, precomputed results (e.g., URLs and snippets of best matching pages) of certain queries are stored in a fast-access ... -
Multi-objective contextual bandits with a dominant objective
(IEEE, 2017)In this paper, we propose a new contextual bandit problem with two objectives, where one of the objectives dominates the other objective. Unlike single-objective bandit problems in which the learner obtains a random scalar ... -
Nesne tanımada bağlam ve anlambilimsel sınıflandırmanın önemi: Bilgisayarla görme ve insanda görme alanlarındaki çalışmalar
(IEEE, 2008-04)Sahne sınıflandırması ve nesne tanıma, bilgisayarla görme alanında fok uzun yıllardır üzerinde çalışılan temel problemlerdir. Bilgisayarlara kazandırılmaya çalışılan, sahnelerin ve içerdikleri nesnelerin otomatik olarak ... -
Neural networks for improved target differentiation and localization with sonar
(Pergamon Press, 2001)This study investigates the processing of sonar signals using neural networks for robust differentiation of commonly encountered features in indoor robot environments. Differentiation of such features is of interest for ...
