136 publication(s) trouvée(s)
Article scientifique
A distributed Content-Based Video Retrieval system for large datasets
Abstract With the rapid growth in the amount of video data, efficient video indexing and retrieval methods have become one …
Article scientifique
Towards a folksonomy graph-based context-aware recommender system of annotated books
Abstract The emergence of collaborative interactions has empowered users by enabling their interactions through tagging practices that create a folksonomy, …
Article scientifique
Intrusion detection systems using long short-term memory (LSTM)
Abstract An intrusion detection system (IDS) is a device or software application that monitors a network for malicious activity or …
Article scientifique
Bayesian negative binomial logit hurdle and zero-inflated model for characterizing smoking intensity
Abstract Smoking invariably has environmental, social, economic and health consequences in Ethiopia. Reducing and quitting cigarette smoking improves individual health …
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A survey of dimension reduction and classification methods for RNA-Seq data on malaria vector
Abstract Recently unique spans of genetic data are produced by researchers, there is a trend in genetic exploration using machine …
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Bayesian multilevel model on maternal mortality in Ethiopia
Abstract Maternal mortality is one of the socio-economic problems and widely considered a serious indicator of the quality of a …
Article scientifique
Evaluation of recent advances in recommender systems on Arabic content
Abstract Various recommender systems (RSs) have been developed over recent years, and many of them have concentrated on English content. …
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A survey on bandwidth-aware geo-distributed frameworks for big-data analytics
Abstract In the era of global-scale services, organisations produce huge volumes of data, often distributed across multiple data centres, separated …
Article scientifique
Optimized hybrid investigative based dimensionality reduction methods for malaria vector using KNN classifier
Abstract RNA-Seq data are utilized for biological applications and decision making for the classification of genes. A lot of works …
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Composition of weighted finite transducers in MapReduce
Abstract Weighted finite-state transducers have been shown to be a general and efficient representation in many applications such as text …
Article scientifique
Evaluation of the effectiveness and efficiency of state-of-the-art features and models for automatic speech recognition error detection
Abstract Speech based human-machine interaction and natural language understanding applications have seen a rapid development and wide adoption over the …
Article scientifique
SDPSO: Spark Distributed PSO-based approach for feature selection and cancer disease prognosis
Abstract The Dimensionality Curse is one of the most critical issues that are hindering faster evolution in several fields broadly, …
Article scientifique
Bayesian zero-inflated regression model with application to under-five child mortality
Abstract Under-five mortality is defined as the likelihood of a child born alive to die between birth and fifth birthday. …
Article scientifique
A novel approach for learning ontology from relational database: from the construction to the evaluation
Abstract The aim of converting relational database into Ontology is to provide applications that are based on the semantic representation …
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A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction
Abstract The stock market is very unstable and volatile due to several factors such as public sentiments, economic factors and …
Article scientifique
A data model for enhanced data comparability across multiple organizations
Abstract Organizations may be related in terms of similar operational procedures, management, and supervisory agencies coordinating their operations. Supervisory agencies …
Article scientifique
A robust machine learning approach to SDG data segmentation
Abstract In the light of the recent technological advances in computing and data explosion, the complex interactions of the Sustainable …
Article scientifique
Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset
Abstract Computer networks intrusion detection systems (IDSs) and intrusion prevention systems (IPSs) are critical aspects that contribute to the success …
Article scientifique
A predictive noise correction methodology for manufacturing process datasets
Abstract In manufacturing processes, datasets intended for data driven decisions are majorly generated from time-sequenced sensor readings. Industrial sensor systems …
Article scientifique
DHPV: a distributed algorithm for large-scale graph partitioning
Big graphs are part of the movement of "Not Only SQL" databases (also called NoSQL) focusing on the relationships between …