Titlebook: Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges; Aboul Ella Hassanien,Ashraf Darwish Book 2021 Th

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ADOPT

尾隨

Convolutional Neural Network with Batch Normalization for Classification of Endoscopic Gastrointestionvolutional neural network (CNN) with batch normalization (BN) and an exponential linear unit (ELU) as the activation function. The proposed approach consists of eight layers (six convolutional and two fully connected layers) and is used to identify eight types of GI diseases in version two of the

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FLACK

Bio-inspired Machine Learning Mechanism for Detecting Malicious URL Through Passive DNS in Big Data tial or full system control to the attackers. To overcome these issues, researchers have applied machine learning techniques for malicious URL detection. However, these techniques fall to identify distinguishable generic features that are able to define the maliciousness of a given domain. Generally

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擁擠前

Literature Review with Study and Analysis of the Quality Challenges of Recommendation Techniques andes have shown the demand for the recommender systems and their growing place in our lives. More steps deeper, we noticed that the severity of the quality and accuracy of these recommendation systems is very high to match users with same interests. For that reason and for being in competitive positio

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