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Multi-model deep learning approach for collaborative filtering recommendation system

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CAAI Transactions on Intelligence Technology 2020年第4期5卷 268-275页

作者： mohammed fadhel aljunid Manjaiah Doddaghatta Huchaiah Computer Science Mangalore UniversityMangaloreIndia

As a result of a huge volume of implicit feedback such as browsing and clicks,many researchers are involving in designing recommender systems(RSs)based on implicit *** implicit feedback is too challenging,it is highly applicable to use in building recommendation *** collaborative filtering techniques such as matrix decomposition,which consider user preferences as a linear combination of user and item latent features,have limited learning capacities,hence suffer from a cold start and data sparsity *** tackle these problems,the research direction towards considering the integration of conventional collaborative filtering with deep neural networks to maps user and item ***,the scalability and the sparsity of the data affect the performance of the methods and limit the worthiness of the results of the ***,the authors proposed a multimodel deep learning(MMDL)approach by integrating user and item functions to construct a hybrid RS and significant *** MMDL approach combines deep autoencoder with a one-dimensional convolution neural network model that learns user and item features to predict user *** detail experimentation on two real-world datasets,the proposed work exhibits substantial performance when compared to the existing methods.

关键词： filtering approach neural

Measuring the Awareness of Thalassemia in Saudi Arabia

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Advances in Bioscience and Biotechnology 2023年第9期14卷 399-408页

作者： Noorah Saleh Al-Sowayan Abrar mohammed Al-fadhel Tahiyat Al Othaim Department of Biology College of Science Qassim University Buraydah Saudi Arabia

Introduction: Thalassemia disorder is a genetic disease that causes the blood to have less hemoglobin than normal, the main requirement to control thalassemia’s propagation is to educate the entire society. Methodology: A descriptive survey was taken to evaluate the awareness of thalassemia among Saudi Arabia’s society, with a sample size of 384. Results: The results were written in frequencies, and it shows that most of the participants were unaware and lacking information on thalassemia syndrome. Discussion: The results of this study provide valuable insights into the awareness of thalassemia in Saudi Arabia and highlight the need to raise awareness of this disease. Conclusion: This study is not comprehensive because the survey was not disrupted evenly, but it can give us an overview of the awareness of thalassemia in Saudi Arabia, and it shows that most of the participants were unaware and lacked information on thalassemia.

关键词： Thalassemia Genetic Disorder Thalassemia Syndrome Awareness Survey Saudi Arabia

Ecological Sound Control Strategies for Population Suppression of Date Palm Borers Oryctes spp.

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Journal of Agricultural Science and Technology(A) 2017年第1期7卷 18-24页

作者： mohammed Zaidan Khalaf Hussain fadhel Alrubeai mohammed Waleed Khudhaer Aysar Abdulkarem Abdulhusein Integrated Pest Control Research Center Directorate of Agricultural Research Ministry of Science & Technology Baghdad00964 Iraq Directorate of Baghdad Agriculture Ministry of Agriculture Baghdad 00964 Iraq

Innovative Method to Control Dubas Bug, Ommatissus lybicus （Deberg）（Homoptera： Tropiduchidae） in Date Palm Orchards Using Endophytic Beauveria bassiana Isolates

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Journal of Agricultural Science and Technology(A) 2016年第6期6卷 394-402页

作者： Mohammad Waleed Khudhair Hussain fadhel Alrubeai mohammed Zaidan Khalaf Integrated Pest Control Research Center Directorate of Agricultural Research Ministry of Science and Technology P.O. Box 765Baghdad Iraq