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Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review
(MDPI Publishing, 2020-11-30)
Fragmentation is a design technique widely used in multimedia databases, because it produces substantial benefits in reducing response times, causing lower execution costs in each operation performed. Multimedia databases ...
Discovery of Resident Behavior Patterns Using Machine Learning Techniques and IoT Paradigm
(MDPI Publishing, 2021-01-21)
In recent years, technological paradigms such as Internet of Things (IoT) and machine learning have become very important due to the benefit that their application represents in various areas of knowledge. It is interesting ...
HEMS-IoT: A Big Data and Machine Learning-Based Smart Home System for Energy Saving
(MDPI Publishing, 2020-03-02)
Energy efficiency has aroused great interest in research worldwide, because energy consumption has increased in recent years, especially in the residential sector. The advances in energy conversion, along with new forms ...
SCM-IoT: An Aproach for Internet of Things Services Integration and Coordination
(MDPI Publishing, 2022-03-18)
Today, new applications demand an internet of things (IoT) infrastructure with greater intelligence in our daily use devices. Among the salient features that characterize intelligent IoT systems are interoperability and ...
Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review
(MDPI Publishing, 2020-11-30)
Fragmentation is a design technique widely used in multimedia databases, because it produces substantial benefits in reducing response times, causing lower execution costs in each operation performed. Multimedia databases ...
Remote Healthcare for Elderly People Using Wearables: A Review
(MDPI Publishing, 2022-01-27)
The growth of health care spending on older adults with chronic diseases faces major concerns that require effective measures to be adopted worldwide. Among the main concerns is whether recent technological advances now ...
Towards Association Rule-based Item Selection Strategy in Computerized Adaptive Testing
(CEIPA, 2020-12-07)
One of the most important stages of Computerized Adaptive Testing is the selection of items, in which various methods are used, which have certain weaknesses at the time of implementation. Therefore, in this paper, it is ...
Discovery of Resident Behavior Patterns Using Machine Learning Techniques and IoT Paradigm
(MDPI Publishing, 2021-01-22)
: In recent years, technological paradigms such as Internet of Things (IoT) and machine learning have become very important due to the benefit that their application represents in various areas of knowledge. It is interesting ...
A New Method of Dynamic Horizontal Fragmentation for Multimedia Databases Contemplating Content-Based Queries
(MDPI Publishing, 2022-01-17)
The proper storage and management of multimedia data is a topic of great interest to industry and academia. Database fragmentation plays a fundamental role as a mechanism to guarantee cost reduction and improve response ...
Mecanismo de Composición de Servicios bajo el Enfoque del Internet de las Cosas (IoT)
(Instituto Tecnológico de Orizaba, 2021-02-26)
En el Internet de las cosas (IoT), diversos dispositivos inteligentes se comunican entre sí para lograr un objetivo común. Adicionalmente, se caracterizan principalmente por una notable capacidad de detección y procesamiento. ...