Understanding and modeling mobility characteristics of scooters and motorcycles for user-centric ITS apps

Sur la base des nombreuses réflexions sur les tendances qui ont influencé la création de mashups ainsi que sur la base des orientations de recherche identifiés par le Groupe

b) Scalability: As daily objects become connected to a global networked infrastructure, scalability issue arises at different levels, including: (i) identifying, addressing and

In contrast to the top-down approach that requires the whole process model to enable its enactment and synchronization, we propose: (1) modeling the global process in separate

Each point is displayed in a different color corresponding to the activity the user was performing based on data recorded at the time, validated using the activity diaries.. We can

In this section, we study the simultaneous detection of user environment (Indoor, Outdoor) and mobility state (Low, Medium, High) using a deep learning approach.. Why Multi-Task

Therefore, in order to ensure an accurate evaluation of user similarity considering location semantics, we should assign an appropriate value to the threshold δ based on the number

They use Pre- fixSpan to mine frequent semantic trajectory patterns and define a measurement called maximal semantic trajectory pattern similarity (MSTP-similarity) in order to

Overall, our findings answer our research question: system-centric evaluation can be used to compare the effects of different recommender algorithms on the decision-