Federated learning (FL) is becoming an increasingly popular machine learning paradigm in application scenarios where sensitive data available at various local sites cannot be shared due to privacy protection regulations. In FL, the sensitive data never leaves the local ...

The social construction of gender through the design of technological artefacts, such as automobiles, motorcycles and domestic technologies, has received growing interest within feminist technology studies (FTS). Building on the extant FTS literature, in this research w...

The detection of malicious HTTP(S) requests is a pressing concern in cyber security, in particular given the proliferation of HTTP-based (micro-)service architectures. In addition to rule-based systems for known attacks, anomaly detection has been shown to be a promisin...

At present scenario, globally commonly used transportation system are based on IC Engine based vehicles which affects environment due to emission of greenhouse gases. due to the systematic approach for electric transportation system towards green transportation and redu...

Non-intrusive load monitoring is an important energy disaggregation technology, which can provide appliance-level consumption estimation given a series of total consumption over time, aiding users green awareness and living as well as device fault detection. Despite of ...

This paper presents a novel approaches for optimal simultaneous placement of distributed generations and V2G parking lots based on value-based prices method which is neglected in previous researches. In this regard, the technical issues of the network, such as reducing ...

OpenStreetMap (OSM) is a popular community-driven mapping platform with voluntary contributions from (amateur) cartographers. However, it is a difficult process for the cartographer to identify the areas where she can best contribute to OSM. Furthermore, the current OSM...

Part 1: Smart Supply Networks; International audience; Reducing the volume of trucks carrying empty or below capacity loads on road networks are both socio-economic and environmental sustainability issues for the logistics industry. Planning concepts for a collaborative...

Large vehicle trajectory data sets can give detailed insight into traffic and congestion that is useful for routing as well as transportation planning. Making information from such data sets available to more users can enable applications that reduce travel time and fue...

With the rise of sustainable energy sources, such as wind power, the energy production, and thus the energy price, fluctuates. Meanwhile, we are witnessing an increasing amount of electric vehicles, which soon will represent a substantial fraction of the electricity dem...