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3122. An Abusir Mastaba from the Reign of Huni /
- Creator:
- Bárta, Miroslav,
- Subject:
- Huni,, mastaby, archeologie, výzkumy, hrobky šachtové, panovníci egyptští, and Egypt v pravěku a starověku, egyptologie
- Language:
- English
- Rights:
- unknown
3123. An Academy on the move /
- Creator:
- Winters, Stanley B.,
- Subject:
- akademie věd, konference vědecké, časopisy vědecké, and české a československé vědecké instituce a společnosti, vysoké školy
- Language:
- English
- Rights:
- unknown
3124. An accuracy-enhanced stemming algorithm for Arabic information retrieval
- Creator:
- Bessou , Sadik and Touahria , Mohamed
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- Arabic morphological analysis, stemming, information retrieval, and machine translation
- Language:
- English
- Description:
- This paper provides a method for indexing and retrieving Arabic texts, based on natural language processing. Our approach exploits the notion of template in word stemming and replaces the words by their stems. This technique has proven to be effective since it has returned significant relevant retrieval results by decreasing silence during the retrieval phase. Series of experiments have been conducted to test the performance of the proposed algorithm ESAIR (Enhanced Stemmer for Arabic Information Retrieval). The results obtained indicate that the algorithm extracts the exact root with an accuracy rate up to 96% and hence, improving information retrieval.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
3125. An Active Participant and Witness to a Century. Karel Hrubý (9. 12. 1923 - 6 . 6. 2021) /
- Creator:
- Zídek, Petr,
- Type:
- text and nekrology
- Subject:
- Historická věda. Pomocné vědy historické. Archivnictví, Hrubý, Karel,, sociologové, politici, publicisté, sociální demokracie, strany politické exilové, Československo 1918-1992, české země od r. 1993 do současnosti, sociologie, psychologie, sociologové, psychologové, politické dějiny, politici, and perzekuce, politická emigrace
- Language:
- English
- Rights:
- unknown
3126. An adaptive backpropagation neural network for arrhythmia classification using R-R interval signal
- Creator:
- Asl, Babak Mohammadzadeh, Sharafat, Ahmad R., and Setarehdan, Kamaledin S.
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- Adaptive-learning-rate neural networks, arrhythmia classification, non-linear analysis, and R-R interval signal
- Language:
- English
- Description:
- Automatic detection and classification of cardiac arrhythmias with high accuracy and by using as little information as possible is highly useful in Holter monitoring of the high risk patients and in telemedicine applications where the amount of information which must be transmitted is an important issue. To this end, we have used an adaptive-learning-rate neural network for automatic classification of four types of cardiac arrhythmia. In doing so, we have employed a mix of linear, nonlinear, and chaotic features of the R-R interval signal to significantly reduce the required information needed for analysis, and substantially improve the accuracy, as compared to existing systems (both ECG-based and R-R interval-based). For normal sinus rhythm (NSR), premature ventricular contraction (PVC), ventricular fibrillation (VF), and atrial fibrillation (AF), the discrimination accuracies of 99.59%, 99.32%, 99.73%, and 98.69% were obtained, respectively on the MIT-BIH database, which are superior to all existing classifiers.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
3127. An adaptive long step interior point algorithm for linear optmization
- Creator:
- Salahi, Maziar
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- linear optimization, interior pointmethods, long step algorithms, large neighborhood, and polynomial complexity
- Language:
- English
- Description:
- It is well known that a large neighborhood interior point algorithm for linear optimization performs much better in implementation than its small neighborhood counterparts. One of the key elements of interior point algorithms is how to update the barrier parameter. The main goal of this paper is to introduce an "adaptive'' long step interior-point algorithm in a large neighborhood of central path using the classical logarithmic barrier function having O(nlog(x0)Ts0ϵ) iteration complexity analogous to the classical long step algorithms. Preliminary encouraging numerical results are reported.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
3128. An adaptive online sequential extreme learning machine for short-term wind speed prediction based on improved artificial bee colony algorithm
- Creator:
- Tian, Zhongda , Wang, Gang , Ren, Yi , Li, Shujiang , and Wang, Yanhong
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- extreme learning machine, improved artificial bee colony algorithm, adaptive online sequential, short-term wind speed, and prediction
- Language:
- English
- Description:
- As an improved algorithm of standard extreme learning machine, online sequential extreme learning machine achieves excellent classification and regression performance. However, online sequential extreme learning machine gives the same weight to the old and new training samples, and fails to highlight the importance of the new training samples. At the same time, the algorithm updates the network weights after obtaining the new training samples. This network weight updating mode lacks flexibility and increases unnecessary computation. This paper proposes an adaptive online sequential extreme learning machine with an effective sample updating mechanism. The new and old samples are given different weights. The effect of new training samples on the algorithm is further enhanced, which can further improve the regression prediction ability of extreme learning machine. At the same time, an improved artificial bee colony algorithm is proposed and used to optimize the parameters of the adaptive online sequential extreme learning machine. The stability and convergence property of proposed prediction method are proved. The actual collected short-term wind speed time series is used as the research object and verify the prediction performance of the proposed method. Multi step prediction simulation of short-term wind speed is performed out. Compared with other prediction methods, the simulation results show that the proposed approach has higher prediction accuracy and reliability performance, meanwhile improve the performance indicators.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
3129. An adaptive-distance artificial immune recognition system
- Creator:
- Zare, A., Zolghadri Jaromi, M., and Boostani , R.
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- Adaptive distance, artificial immune recognition system, nearest neighbor, and weighted distance
- Language:
- English
- Description:
- The artificial Immune Recognition System (AIRS) algorithm inspired by a natural immune system makes use of the training data to generate memory cells (or prototypes). These memory cells are used in the test phase to classify unseen data using the K-nearest neighbor (K-NN) algorithm. The performance of the AIRS algorithm, similar to other distance-based classifiers, is highly dependent on the distance function used to classify a test instance. In this paper, we present a new version of the AIRS algorithm named Adaptive Distance AIRS (AD-AIRS) that uses an adaptive distance metric to improve the generalization accuracy of the basic AIRS algorithm. The adaptive distance metric is based on assigning weights to the evolved memory cells. The weights of memory cells are used in the test phase to classify test instances. Apart from this, the AD-AIRS algorithm uses the concept of clustering to modify the way that memory cells are generated. Each memory cell represents a group of similar instances (or antigens). A subset of the UCI datasets is used to evaluate the effectiveness of the proposed AD-AIRS algorithm in comparison with the basic AIRS. Experimental results show that the AD-AIRS achieves higher accuracy with a fewer number of memory cells when compared with the basic AIRS algorithm.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
3130. An additional genus and two additional species of Forticulcitinae (Digenea: Haploporidae)
- Creator:
- Andres, Michael J, Curran, Stephen S, Fayton, Thomas J, Pulis, Eric E, and Overstreet, Robin M
- Format:
- electronic, počítač, and online zdroj
- Type:
- model:article and TEXT
- Subject:
- parazitologie, parasitology, 28S rDNA, Dicrogaster, Digenea, Haploporinae, molecular phylogeny, mullet, Mugil, Mugilidae, 2, and 59
- Language:
- English
- Description:
- Forticulcita platana sp. n. and Forticulcita apiensis sp. n. are described from Mugil liza Valenciennes in Argentina, and from Mugil cephalus Linnaeus in Salt Springs, Florida, USA, respectively. Supplemental material relating to the hermaphroditic sac of Forticulcita gibsoni Blasco-Costa, Montero, Balbuena, Raga et Kostadinova, 2009 is provided from a specimen isolated from M. cephalus off Crete, Greece.Forticulcita platana can be distinguished from all species of Forticulcita Overstreet, 1982 except F. gibsoni, based on possessing small pads or gland cells along the hermaphroditic duct. It can be differentiated from that species in possessing a hermaphroditic sac that is one and a half to two times longer than wide rather than one that is approximately three times longer than wide, longer eggs (44-52μm rather than 34-44 μm long) and a shorter post-testicular space (<45% of the body length). Forticulcita apiensis can be differentiated from the other species of Forticulcita in possessing a testis that is shorter than or equal to the pharynx rather than one that is longer than the pharynx. Xiha gen. n. is erected for Dicrogaster fastigatus Thatcher et Sparks, 1958 as Xiha fastigata (Thatcher et Sparks,1958) comb. n., and we tentatively consider Dicrogaster fragilis Fernández Bargiela, 1987 to be Xiha fragilis (Fernández Bargiela, 1987) comb.n. The new genus fits within the concept of Forticulcitinae Blasco-Costa, Balbuena, Kostadinova et Olson, 2009 in having a vitellarium comprised of a single elongate to subspherical mass. Xiha can be differentiated from Forticulcita in having spines lining the hermaphroditic duct, or intromittent organ. A Bayesian inference analysis of partial 28S rDNA sequences of the two New World species of Forticulcita, Xiha fastigata and previously published haploporids places Xiha fastigata within the Forticulcitinae and sister to Forticulcita. Amended diagnos for the subfamily and for Dicrogaster Looss, 1902 are provided., Michael J. Andres, Stephen S. Curran, Thomas J. Fayton, Eric E. Pulis, Robin M. Overstreet., and Obsahuje bibliografii
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public