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Cloud services cost comparison: a clustering analysis framework
As cloud computing has grown in popularity, several different models and deployment strategies have emerged, fulfilling specific needs of different...
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Towards a Systematic Comparison Framework for Cloud Services Customer Agreements
The growing need to understand and compare elements in service agreements has generated strong interest in the industry. Although there are projects...
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Computational Ontology and Visualization Framework for the Visual Comparison of Brain Atrophy Profiles
Alzheimer’s disease (AD) accounts for more than two-thirds of all dementia cases. Existing MRI volumetry tools summarize pathology found within brain...
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Comparison Framework for Blockchain Interoperability Implementations
Blockchain interoperability has gained importance in practice, is increasingly discussed in literature, and serves as basis for new use cases such as...
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Bias and comparison framework for abusive language datasets
Recently, numerous datasets have been produced as research activities in the field of automatic detection of abusive language or hate speech have...
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IAFCO: an intelligent agent-based framework for combinatorial optimization
Solving combinatorial optimization problems (COPs) poses a significant challenge in various application domains. The NP-hardness of many COPs...
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Enhancing IoT Security: A Blockchain-Based Mitigation Framework for Deauthentication Attacks
The proposed Blockchain-Based Mitigation of Deauthentication Attacks (BBMDA) Framework aims to enhance the security and trustworthiness of IoT...
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Implementation Framework
In this chapter, we propose an implementation framework that realizes the introduced concepts for embedding artificial intelligence into ERP...
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Empirically evaluating modeling language ontologies: the Peira framework
Conceptual modeling plays a central role in planning, designing, develo** and maintaining software-intensive systems. One of the goals of...
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A framework for the comparison of agent-based models
We develop a methodology for comparing agent-based models that are developed for the same domain, but may differ in the data sets (e.g., geographical...
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Homomorphic Encryption Library, Framework, Toolkit and Accelerator: A Review
Homomorphic encryption ensures secure computation on encrypted data without the need for decryption beforehand. It enables the secure offloading of...
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ASIF: attention-based sentiment inquiry framework for profound product recommendations
Online product recommendation has gained much popularity in recent years and has become the most demanding research area that can help consumers make...
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A secure blockchain-assisted authentication framework for electronic health records
The evolution of internet technology has significantly broadened the accessibility of E-healthcare services, with Electronic Healthcare Records (EHR)...
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Random forest with differential privacy in federated learning framework for network attack detection and classification
Communication networks are crucial components of the underlying digital infrastructure in any smart city setup. The increasing usage of computer...
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A Blockchain Framework for E-Voting
An electronic democratic framework can also fulfill all the rules and regulations of any governing body. The election is one of the important events...
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Gtpsum: guided tensor product framework for abstractive summarization
Pretrained models in abstractive summarization enable the summarization model to generate coherent summaries flexibly, but it also introduces...
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A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry
In the telecom sector, predicting customer churn has increased in importance in recent years. Develo** a robust and accurate churn prediction model...
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A security framework for mobile agent systems
Security is a very important challenge in mobile agent systems due to the strong dependence of agents on the platform and vice versa. According to...
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ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP
Supervised machine learning and deep learning require a large amount of labeled data, which data scientists obtain in a manual, and time-consuming...
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A unified multi-view multi-person tracking framework
Despite significant developments in 3D multi-view multi-person (3D MM) tracking, current frameworks separately target footprint tracking, or pose...
