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Mostrando ítems 101-110 de 212
Incremental Hierarchical Clustering driven Automatic Annotations for Unifying IoT Streaming Data
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
In the Internet of Things (IoT), Cyber-Physical Systems (CPS), and sensor technologies huge and variety of streaming sensor data is generated. The unification of streaming sensor data is a challenging problem. Moreover, ...
An Intelligent Technique for Grape Fanleaf Virus Detection
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
Grapevine Fanleaf Virus (GFLV) is one of the most important viral diseases of grapes, which can damage up to 85% of the crop, if not treated at the right time. The aim of this study is to identify infected leaves with GFLV ...
Smoke Test Planning using Answer Set Programming
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-03)
Smoke testing is an important method to increase stability and reliability of hardware- gramming, Testing depending systems. Due to concurrent access to the same physical resource and the impracticality of the use of ...
Learning Models for Semantic Classification of Insufficient Plantar Pressure Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...
An Application of Declarative Languages in Distributed Architectures: ASP and DALI Microservices
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-03)
In this paper we introduce an approach to the possible adoption of Answer Set Programming (ASP) for the definition of microservices, which are a successful abstraction for designing distributed applications as suites of ...
Towards Multi-perspective Conformance Checking with Fuzzy Sets
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-03)
Nowadays organizations often need to employ data-driven techniques to audit their business processes and ensure they comply with laws and internal/external regulations. Failing in complying with the expected process behavior ...
Efficient and Robust Model Benchmarks with Item Response Theory and Adaptive Testing
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-03)
Progress in predictive machine learning is typically measured on the basis of performance comparisons on benchmark datasets. Traditionally these kinds of empirical evaluation are carried out on large numbers of datasets, ...
AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-03)
Elastic Cloud Compute (EC2) is one of the most well-known services provided by Amazon for provisioning cloud computing resources, also known as instances. Besides the classical on-demand scheme, where users purchase compute ...
Efficient Method Based on Blockchain Ensuring Data Integrity Auditing with Deduplication in Cloud
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-09)
With the rapid development of cloud storage, more and more cloud clients can store and access their data anytime, from anywhere and using any device. Data deduplication may be considered an excellent choice to ensure data ...
Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-12)
In the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze ...