Method for rendering prediction outputs on user interface, involves generating real time prediction outputs by set of processors based on application of received data, and rendering real time prediction outputs via charts, graphs, and interactive elements by processor
2023-10-11
专利权人JIO PLATFORMS LTD (RELN-C)
申请日期2023-10-11
专利号IN202321068466-A
成果简介NOVELTY - The method involves receiving real time data from set of data sources. Received data is applied by the set of processors to artificial intelligence/machine learning (AI/ML) models. Real time prediction outputs are generated by set of processors based on the application of the received data on the AI/ML model. Real time prediction outputs via charts, graphs, and interactive elements on the UI are rendered by the processor, where data source is provided with a probing unit and the received data is pre-processed and standardized. Charts, the graphs and the interactive elements are dynamically updated corresponding to receipt of latest data. USE - Method for rendering real-time prediction outputs on a user interface (UI). ADVANTAGE - The method enables visualizing data helps in quickly identifying patterns and anomalies for resulting in timely interventions and realizing integration of interactive visualization tools empowers network operators to explore data in a user-friendly manner. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a system for rendering prediction outputs on a user interface UI. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic block diagram of a UI. 100Environment 102UE 104Server 106Network 108System for rendering real-time prediction outputs
IPC 分类号G06N-020/00 ; G06N-005/04 ; G06T-011/20 ; G06T-011/60 ; H04N-019/176
国家印度
专业领域信息技术
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/20058
专题中国科学院新疆生态与地理研究所
作者单位
JIO PLATFORMS LTD (RELN-C)
推荐引用方式
GB/T 7714
DANGE G,LOBO R,TELGOTE K,et al. Method for rendering prediction outputs on user interface, involves generating real time prediction outputs by set of processors based on application of received data, and rendering real time prediction outputs via charts, graphs, and interactive elements by processor. IN202321068466-A[P]. 2023.
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