AIMC Topic: Computer Communication Networks

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Distributed parameter estimation in unreliable sensor networks via broadcast gossip algorithms.

Neural networks : the official journal of the International Neural Network Society
In this paper, we present an asynchronous algorithm to estimate the unknown parameter under an unreliable network which allows new sensors to join and old sensors to leave, and can tolerate link failures. Each sensor has access to partially informati...

Development of an informatics infrastructure for data exchange of biomolecular simulations: Architecture, data models and ontology.

SAR and QSAR in environmental research
Biomolecular simulations aim to simulate structure, dynamics, interactions, and energetics of complex biomolecular systems. With the recent advances in hardware, it is now possible to use more complex and accurate models, but also reach time scales t...

Self-Adaptive Strategy Based on Fuzzy Control Systems for Improving Performance in Wireless Sensors Networks.

Sensors (Basel, Switzerland)
The solutions to cope with new challenges that societies have to face nowadays involve providing smarter daily systems. To achieve this, technology has to evolve and leverage physical systems automatic interactions, with less human intervention. Tech...

Prediction of telephone calls load using Echo State Network with exogenous variables.

Neural networks : the official journal of the International Neural Network Society
We approach the problem of forecasting the load of incoming calls in a cell of a mobile network using Echo State Networks. With respect to previous approaches to the problem, we consider the inclusion of additional telephone records regarding the act...

Simulation of Smart Home Activity Datasets.

Sensors (Basel, Switzerland)
A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-term care and management to maximize quality of life, placing an increasing strain on healthcare resour...

A lane-level LBS system for vehicle network with high-precision BDS/GPS positioning.

Computational intelligence and neuroscience
In recent years, research on vehicle network location service has begun to focus on its intelligence and precision. The accuracy of space-time information has become a core factor for vehicle network systems in a mobile environment. However, difficul...

Integrated semantics service platform for the Internet of Things: a case study of a smart office.

Sensors (Basel, Switzerland)
The Internet of Things (IoT) allows machines and devices in the world to connect with each other and generate a huge amount of data, which has a great potential to provide useful knowledge across service domains. Combining the context of IoT with sem...

Privacy-protecting, reliable response data discovery using COVID-19 patient observations.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To utilize, in an individual and institutional privacy-preserving manner, electronic health record (EHR) data from 202 hospitals by analyzing answers to COVID-19-related questions and posting these answers online.

Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The lack of representative coronavirus disease 2019 (COVID-19) data is a bottleneck for reliable and generalizable machine learning. Data sharing is insufficient without data quality, in which source variability plays an important role. We...