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Chủ đề : Information and Communication Technology


Có 60+ tài liệu thuộc chủ đề "Information and Communication Technology"

Preliminary analysis of wireless collaborative network on mobile devices

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Preliminary analysis of wireless collaborative network on mobile devices. PRELIMINARY ANALYSIS OF WIRELESS COLLABORATIVE NETWORK ON MOBILE DEVICES. Researchers and companies of the telecommunication sector have been working hard to enhance wireless network infrastructure to fulfill end users’ needs for Internet connectivity. Besides relying only on network infrastructure provided by telecommunication companies, one possible strategy to provide Internet connectivity in...

A syntactic based sentence validation technique for malay text summarizer

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A syntactic-based sentence validation technique for Malay text summarizer. A Syntactic-based Sentence Validation Technique for Malay Text Summarizer. In the automatic text summarization domain, a sentence compression technique is applied to the summary sentence to remove unnecessary words or phrases. The purpose of sentence compression is to preserve important information in a sentence and to remove unnecessary ones without sacrificing...

Summarizing indonesian news articles using graph convolutional network

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Garmastewira, G., &. ROUGE-2 recall score of 0.370 for a 100-word summary and 0.378 for a 200-word summary. Sentence selection using the greedy technique gave better results for generating a 100-word summary, while the MMR performed better for generating a 200-word summary.. An ideal summary contains common information of the news topic and unique information of each article (Goldstein et...

A hybrid least squares support vector machine with bat and CUCKOO search algorithms for time series forecasting

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Least Squares Support Vector Machine (LSSVM) has been known to be one of the effective forecasting models. BAT-LSSVM and CUCKOO-LSSVM generated lower MAPE and SMAPE, at the same time produced higher accuracy and fitness value compared to particle swarm optimization (PSO)- LSSVM and a non-optimized LSSVM. Miller, 1986) are examples of the multivariate approach. Different parameter settings will affect the...

A discourse - based information retrieval for tamil literary texts

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The performance of the proposed framework was compared with Google Tamil search and a keyword-based search, which was a substandard version of the proposed framework. Tamil language and literature have a long and glorious tradition, with the written form of the Tamil language dating back to 600 Before the Common Era (BCE). Most of the existing search systems use the...

A deep autoencoder based representation for arabic text categorization

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A deep autoencoder-based representation for Arabic text categorization. A DEEP AUTOENCODER-BASED REPRESENTATION FOR ARABIC TEXT CATEGORIZATION. Arabic text representation is a challenging assignment for several applications such as text categorization and clustering since the Arabic language is known for its variety, richness and complex morphology. Until recently, the Bag-of-Words remains the most common method for Arabic text representation. To overcome...

Applying empirical thresholding algorithm for a keystroke dynamics based authentication system

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Through the application of a password-based authentication technique, users are granted permission to access a secure system when the username and password matches with that logged in database of the system. In the proposed keystroke dynamics based authentication system, despite the password match, the similarity between the typing pattern of the typed password and password samples in the training database...

Fuzzy unordered rule using greedy hill climbing feature selection method: An application to diabetes classification

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Diabetes classification is one of the most crucial applications of healthcare diagnosis. Six classification criteria were considered to authenticate the results of the proposed classifier. Comparative analysis proved the effectiveness of the proposed classifier against Naive Bayes, support vector machine, K-nearest neighbor, decision tree, and multilayer perceptron neural network classifiers. Results of the proposed classifier demonstrated the potential of fuzzy...

Multi criteria decision making based approaches in website quality and usability evaluation: A systematic review

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et al., 2016). Akincilar, A., &. https://doi.org/10.1016/j.. Aydin, S., &. Aytuna, N., Karsak, B., &. Bali, O., Burmaoğlu, S., &. B., Albadvi, A., &. Bijan, Y., &. U., Büyüközkan, G., &. Burmaoglu, S., &. https://doi.org/10.1504/. Büyüközkan, G., Arsenyan, J., &. doi.org . Byun, D., &. https://doi.org . Castro-Lopez, A., Puente, J., &. Ceballos, B., Teresa, M., &. https://doi.org/10.1007/s . Çelik,...

A fuzzy rule - based expert system for asthma severity identification in emergency department

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A fuzzy rule-based expert system for asthma severity identification in emergency department. A FUZZY RULE-BASED EXPERT SYSTEM FOR ASTHMA SEVERITY IDENTIFICATION IN EMERGENCY DEPARTMENT. However, in reality, long waiting time and uncertainty in the diagnosis has affected the quality of ED services. The fuzzy set theory, known as Fuzzy Rule-based Expert System for Asthma Severity (FRESAS) determination is embedded into...

Multilabel over - sampling and under - sampling with class alignment for imbalanced multilabel text classification

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Whereas, in the multilabel classification, it is a generalization of the multiclass and binary classification, as it does not enforce any limits to the number of components that are held at the outputs (Charte et al., 2013. Siblini et al., 2019).. Methods of multilabel text classification suffer from a high level of class imbalance, and because of that, they will...

Smart city security: Face based image retrieval model using gray level cooccurrence matrix

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Smart city security: Face-based image retrieval model using gray level co-occurance matrix. SMART CITY SECURITY: FACE-BASED IMAGE RETRIEVAL MODEL USING GRAY LEVEL CO-. Image similarity is considered as one of the applications of smart cities.. The major challenges faced in the field of image management are searching and retrieving images. The proposed scheme extracts only five features of the query...

Feature clustering for pso - based feature construction on high dimensional data

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The feature clustering methods were used to aggregate similar features into clusters, whereby the dimensionality of the data was lowered by choosing representative features from every cluster to form the final feature subset. The study identified some limitations, such as the implementation of only two binary classes and the decreasing accuracy of the data. Experimental results were obtained by using...

Estimation of missing values using optimised hybrid fuzzy C - means and majority vote for microarray data

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Estimation of missing values using optimized hybrid fuzzy c-means and majority vote for microarray data. ESTIMATION OF MISSING VALUES USING OPTIMISED HYBRID FUZZY C-MEANS AND MAJORITY VOTE FOR MICROARRAY. Missing values are a huge constraint in microarray technologies towards improving and identifying disease-causing genes.. Estimating missing values is an undeniable scenario faced by field experts. Although these methods might predict...

Mayesian network of traffic accidents in Malaysia

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H., Shabadin, A., &. Bayesian network of traffic accidents in Malaysia. BAYESIAN NETWORK OF TRAFFIC ACCIDENTS IN MALAYSIA. Exploring the causes and effects of a hazardous event such as traffic accidents have been of vital importance to society. Statistical analyses have been widely implemented to understand and deduce inferences on the cause-effect analysis, and to anticipate the occurrences of accidents...

A systematic mapping study on cloud - based mobile application testing

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A large proportion of the studies (60.9%) analyzed Android applications, and usually supported a single type of mobile app testing. Other than that, the majority of the studies (52.2%) have failed to investigate the outcomes of TaaS, despite a plethora of services that offers TaaS. One of the key features of mobile application is regular updates (Al-Ahmad, Aljunid, &. Sani,...

Classification of short possessive clitic pronoun nya in malay text to support anaphor candidate determination

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In some of the cases, certain pronouns can be used without referring to any situation or entity in a text, and this phenomenon is known as pleonastic. In the case of the Malay language, it usually occurs for the pronoun nya. The results of the F-measure showed the detection of clitic nya as a separate word achieved a perfect 100%...

Formant characteristics of malay vowels of perlis, Kelantan and Terengganu

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Formant characteristics of Malay vowels of Perlis, Kelantan and Terengganu. FORMANT CHARACTERISTICS OF MALAY VOWELS OF PERLIS, KELANTAN AND TERENGGANU. Nonetheless, there were contradiction in some of the findings as the spoken vowels were extracted from a read speech, that may not be representative of the natural dialect. Eight (8) Malay vowels were collected from local males and females residing...

Empirical mode decomposition based on theta method for forecasting daily stock price

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Forecasting is a challenging task as time series data exhibit many features that cannot be captured by a single model.. EMD decomposed the training data from each of the five Financial Times Stock Exchange 100 Index (FTSE 100 Index) companies’ stock price time series data into Intrinsic Mode Functions (IMF) and residue. Keywords: Forecasting stock price, empirical mode decomposition, intrinsic...

Real time computational fluid dynamics flow response visualisation and interaction application based on augmented reality

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Engineers need to visualise the behaviour mechanics of flow field response in order to enhance the cognitive ability in problem solving. The particle size and number of particles emitted were adjusted in order to emulate the physical representation of fluid flow. It is predicted that from 2014 onwards, the application of AR technology will increase due to the advancement in...