To estimate the accurate fundamental relationship in traffic flow, this paper proposes a novel framework that extends classical fundamental diagram (FD) models to incorporate more dimensions of ...

Few of the Data Flow Diagrams are made available in this repository for reference and learning purposes. Generally Students/Developers study about this under course Software Engineering ...

HiFlow constructs reference flow from low-resolution sampling trajectory to offer initiation alignment, direction alignment, and acceleration alignment, enabling flow-aligned high-resolution image ...

We will introduce mechanisms for cross-boundary flow of data from the Chinese Mainland to Hong Kong for research and development purposes, under clear safeguards and robust data-security protocols.

Ideally, such R&D teams would consist of individuals with strong foundational training in a core discipline─such as polymer physics, chemistry, materials engineering, computer science, or data ...

An alternative method for the scheduling of iterative data-flow graphs is described. The method is based on the scheduling-range chart, which contains the information on the range within which each ...

Zscaler issued a response to recent controversy regarding data used for its AI model training. CEO Jay Chaudhry made references this week to “trillions” of Zscaler’s transaction-level logs ...

Douglas McIntyre, Editor-in-Chief at Climate Crisis 24/7, explains how private equity and credit lenders are pouring billions into AI data centers, despite their massive energy consumption and ...

What is common between IoT and AI is that manufacturing is listed as a top industry in terms of market share and potential. Smart factories are integrating new technologies including Industry 4.0, AI ...