Titlebook: Advances on Smart and Soft Computing; Proceedings of ICAC Faisal Saeed,Tawfik Al-Hadhrami,Errais Mohammed Conference proceedings 2021 The

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Ensemble Feature Selection Method Based on Bio-inspired Algorithms for Multi-objective Classificatioht benchmark datasets with various sizes were carefully chosen to experiment. Experimental results revealed that both algorithms that used the selected bio-inspired search algorithms with an ensemble method have successfully achieved a better solution with an optimum set of features, that is, less n

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2194-5357 uting platforms, parallel processing, natural language processing, predictive analytics, knowledge management approaches, information security, security in IoT, big data and cloud computing, high-performance computing and computational informatics.978-981-15-6047-7978-981-15-6048-4Series ISSN 2194-5357 Series E-ISSN 2194-5365

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Paul Warren,John Davies,Elena Simperla in order to enrich the profile of the user. Then based on the history of user ratings as well as data on users and items (useful information such as genre, year, tag and rating), we develop a framework for deep learning to learn a similarity function between users and predict item ratings. We eval

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Context-Aware Middleware: A Reviewpandable ecosystem. In this contribution, we review the literature regarding the association between BDVC, data monetization, and cloud computing. Then, we propose a Big Data monetization-driven value chain model that relies on cloud computing and analytical capabilities. It allows monetizing both d

FUSE

Context Aware and Adaptive Systemsht benchmark datasets with various sizes were carefully chosen to experiment. Experimental results revealed that both algorithms that used the selected bio-inspired search algorithms with an ensemble method have successfully achieved a better solution with an optimum set of features, that is, less n

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Optimization of a Similarity Performance on Bounded Content of Motion Histogram by Using Distributedributed computing platform by using Apache Hadoop framework and a real-time distributed storage system using HBase. In fact, the amount of multimedia data is growing exponentially. Most of this data is available in image and video models. Analyzing huge data involves complex algorithms, which leads

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A Zero-Knowledge Identification Scheme Based on the Discrete Logarithm Problem and Elliptic Curvesthe communication between a card and an automatic teller, and the verification of customers identity by banks. The idea of cryptographic identification protocols is that one entity, the claimant, proves its identity to another party, the verifier, by demonstrating the knowledge of a secret, of cours