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Assessment of competences: professioh nal and university environment
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FAHREDDÎN EL-BENÂKİTÎ VE ER-RİSÂLETÜ’L-FAHRİYYE FÎ AKSÂMİ’L-ULÛMİ’L-HİKEMİYYE ADLI ESERİ
Published 2024-03-01Get full text
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تأثیر النشر الدولی على ترتیب الجامعات : جامعة القاهرة نموذجا
Published 2015-07-01Get full text
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Android malware detection method based on deep neural network
Published 2020-10-01“…Android is increasingly facing the threat of malware attacks.It is difficult to effectively detect large-sample and multi-class malware for traditional machine learning methods such as support vector machine,method for Android malware detection and family classification based on deep neural network was proposed.Based on the comprehensive extraction of application components,Intent Filter,permissions,and data flow,the method performed an effective feature selection to reduce dimensions,and conducted a large-sample detection and multi-class classification for malware based on deep neural network.The experimental results show that the method can conduct an effective detection and classification.The accuracy of binary classification between benign and malicious Apps is 97.73%,and the accuracy of family multi-class classification can reach 93.54%,which is higher than other machine learning algorithms.…”
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Intelligent security relay selection for full duplex wireless communications
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Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field Tests
Published 2013-10-01Get full text
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Image spam identification method based on gray-gradient co-occurrence matrix
Published 2013-09-01Get full text
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Cerebral compliance assessment from intracranial pressure waveform analysis: Is a positional shift-related increase in intracranial pressure predictable?
Published 2024-01-01“…The overall one-versus-one classification task was achieved with an averaged AUROC of 0.72 (95%-CI: [0.61-0.83]). …”
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Predicting conversion of Alzheimer’s disease based on multi-modal fusion of neuroimaging and genetic data
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Technique for Segmentation and Selection of Biomedical Images
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Grading Evaluation of Goaf Stability Based on Entropy and Normal Cloud Model
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Prostate Cancer Detection from MRI Using Efficient Feature Extraction with Transfer Learning
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Honeypot contract detection of blockchain based on deep learning
Published 2022-01-01“…Aiming at the problems of low accuracy of current detection methods and poor generalization of model, a honeypot contract detection method based on KOLSTM deep learning model was proposed.Firstly, by analyzing the characteristics of honeypot contract, the concept of key opcode was proposed, and a keyword extraction method which could be used to select the key opcode in smart contract was designed.Secondly, by adding the key opcode weight mechanism to the traditional LSTM model, a KOLSTM model which could simultaneously capture the sequence features and key opcode features hidden in the honeypot contract was constructed.Finally, the experimental results show that the model had a high recognition accuracy.Compared with the existing methods, the F-score is improved by 2.39% and 19.54% respectively in the two classification and multi-classification detection scenes.…”
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Evaluation of Different Stemming Techniques on Arabic Customer Reviews
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Presenting a Novel Hybrid Approach of Text Mining Sentiment Analysis in Twitter Using CART Decision Tree
Published 2020-03-01Get full text
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