Showing papers in "Egyptian Informatics Journal in 2019"

TL;DR: The results found that the stage level of belief that ranges combined from the level of expertise 1–12 was indicated that Hau-Kashyap approach can be determined to measure the learners’ expertise more fairly and easily.

TL;DR: A secured and dependable architecture for electronic health that could guarantee efficiency, reliability and regulated access framework to health information is proposed and will guarantee absolute security and privacy between healthcare providers and the patients.

TL;DR: From experimental results, it is observed that the proposed method is an efficient and feasible method to search an optimal combination of threshold values at 2nd, 3rd, 4th and 5th levels.

TL;DR: HILATSA is a hybrid approach which combines both lexicon based and machine learning approaches in order to identify the tweets sentiments polarities and proved to be effective as it improved the accuracy by 17.55%.

TL;DR: This work quantitatively evaluate hardware and energy cost savings with these two SDN and NFV architectures compared to the existing state-of-the-art network 4G hardware technologies.

TL;DR: The results of simulation and security analysis show that the proposed image encryption scheme is able to resist various attacks and has excellent encryption performance.

TL;DR: The conclusion is that NRDD-DBSCAN proposed model can detect the outliers that exist in the datasets of N-dimensions by using resilient distributed datasets (RDDs) and can enhance the quality of data exists in IoT applications and technologies.

TL;DR: An Egyptian Dialect Gender Annotated Dataset (EDGAD) obtained from Twitter as well as a proposed text classification solution for the Gender Identification (GI) problem are provided.

TL;DR: A multi-agent based context-aware information gathering using WMSN for monitoring agriculture using content-based image retrieval and computational contexts for detection of diseased plants, weeds, fire and interpret the soil fertility based on the soil parameters is proposed.

TL;DR: Comparative analyses show that the proposed technique outperforms existing techniques, and is capable of learning temporal dependency of sequential data, which is the property found in music answer scoring.

TL;DR: The experiment results indicated that TOCM-MT obtained better minimal cost than that of VAM, JHM, and TDM1.

TL;DR: A new algorithm known as Neuro-Fuzzy based on genetic algorithm is developed that achieves an accuracy of 97% as compared to the state-of- art methods in terms of parameters such as Sensitivity, Specificity, Recall, F-Measure &Precision Rate.

TL;DR: It can be stated that DS-PITON helps students to get better assessment score and to complete their assessment faster (even though the impact on completion time can work in reverse on slow-paced students).

TL;DR: The performance of the web proxy caching system is improved by adapting Data Mining Classifier model based on Web User clustering and Weighted Random Indexing Methods which uses the Data Mining techniques.

TL;DR: Indonesian Bigram Word Rule for Multi-label Student Complaints (Ina-BWR) is developed to identify multi-label student problems based on Bigram word Rule and bigram word rule and preprocess are proposed to increase the accuracy of multi- label classification results.

TL;DR: The proposed multi-level structural model (based on the indicators of total compatibility quality) is more efficient than the one-level model, supporting the first hypothesis that economic and social determinants and intermediate variables have a significant impact on current and future fertility.

TL;DR: A new microarray spot segmentation algorithm based on Integro-Differential Operator (IDO) which can be used to find any spot regardless of its size and shape within the microarray image to improve the accuracy and the efficiency of the spots segmentation process.

TL;DR: This work proposes to construct optimal dynamic clusters on the target trajectory based on a probabilistic model integrating two fundamental parameters: energy consumption and accuracy, and this last metric is evaluated, for the first time, by the notion percolation.