Artificial intelligence approaches and mechanisms for big data analytics: a systematic study
Recent advances in sensor networks and the Internet of Things (IoT) technologies have led
to the gathering of an enormous scale of data. The exploration of such huge quantities of …
to the gathering of an enormous scale of data. The exploration of such huge quantities of …
Scaling data science solutions with semantics and machine learning: Bosch case
Abstract Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented
amount of data from factory production, posing big data challenges in volume and variety. In …
amount of data from factory production, posing big data challenges in volume and variety. In …
Machine learning for industrial IoT systems
The use of AI algorithms in the IoT enhances the ability to analyse big data and various
platforms for a number of IoT applications, including industrial applications. AI provides …
platforms for a number of IoT applications, including industrial applications. AI provides …
A resource aware memory requirement calculation model for memory constrained context-aware systems
Smart spaces are physical environments equipped with sensors, actuators, and other
computing devices to gather data and provide intelligent services to users. These spaces …
computing devices to gather data and provide intelligent services to users. These spaces …
Integrating systems of systems with a federation of rule engines
Abstract Systems of Systems (SoSs) integrate many critical systems our society relies on. In
designing individual systems, stakeholders use bespoke protocols, custom information …
designing individual systems, stakeholders use bespoke protocols, custom information …
Argumentation-based multi-agent distributed reasoning in dynamic and open environments
This work presents an approach for distributed and contextualized reasoning in multi-agent
systems, considering environments in which agents may have incomplete, uncertain and …
systems, considering environments in which agents may have incomplete, uncertain and …
A rule-based framework for developing context-aware systems for smart spaces
I Uddin - 2019 - eprints.nottingham.ac.uk
Context-aware computing is a mobile computing paradigm that helps designing and
implementing next generation smart applications, where personalized devices interact with …
implementing next generation smart applications, where personalized devices interact with …
Context Reasoning for Predicting Gestational Diabetes Mellitus Using CA-RETE Algorithm
K Deeba, RAK Saravanaguru - International Journal of e …, 2021 - igi-global.com
Today, IoT-related applications play an important role in scientific world development.
Context reasoning emphasizes the perception of various contexts by means of collection of …
Context reasoning emphasizes the perception of various contexts by means of collection of …
Middleware-based multi-agent development environment for building and testing distributed intelligent systems
FJ Aguayo-Canela, H Alaiz-Moreton… - Cluster …, 2021 - Springer
The spread of the Internet of Things (IoT) is demanding new, powerful architectures for
handling the huge amounts of data produced by the IoT devices. In many scenarios, many …
handling the huge amounts of data produced by the IoT devices. In many scenarios, many …
Analysis and Design of Diagnosing Pet Diseases Remotely by Fusing Rule-Based Inference
Pets serve as significant companions for their owners, who may give them food, housing,
and medical attention. As pets can readily contract an illness unknowingly, their health …
and medical attention. As pets can readily contract an illness unknowingly, their health …