by iotadmin | May 4, 2020
On the Security of Randomized Defenses Against Adversarial Samples (From the abstract) Deep Learning has been shown to be particularly vulnerable to adversarial samples. To combat adversarial strategies, numerous defensive techniques have been proposed. Among these, a...
by iotadmin | May 1, 2020
Missing Data Imputation with Bayesian Maximum Entropy for Internet of Things Applications (From the article abstract) The Internet of Things (IoT) enables the seamless integration of sensors, actuators and communication devices for real-time applications. IoT systems...
by iotadmin | Apr 30, 2020
A hybrid neuro-fuzzy inference system-based algorithm for time series forecasting applied to energy consumption prediction (From the article abstract)The accuracy of the prediction of buildings’ energy consumption is being tackled using existing artifcial intelligence...
by iotadmin | Feb 20, 2020
IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams and Its Use with Data Analytics and Event Detection Service (From the abstract) With the proliferation of sensors and IoT technologies, stream data are increasingly stored and analysed, but rarely...
by iotadmin | Jan 19, 2020
Lightweight Data-Security Ontology for IoT (From the abstract) Although current estimates depict an steady growth in IoT, many works portrait a yet immature technology in terms of security. Attacks using low performance devices, the application of new technologies and...
