-
公开(公告)号：US11497156B2
公开(公告)日：2022-11-15
申请号：US16565457
申请日：2019-09-09
发明人： Juliet Mutahi , David W. Kaguma , Samuel Maina Karumba , Nelson Kibichii Bore , Percival Silva de Lucena , Andrew Kinai , Komminist Weldemariam , Peninah M. Waweru
IPC分类号： A01B79/00 , B60W40/09 , G07C5/08 , G06F16/951 , G06N20/00 , G06F40/44 , G06F40/205 , B60W50/00
摘要： A memory embodies instructions, and a processor is coupled to the memory and is operative by the instructions to facilitate: accessing a source of information regarding farm cultivation techniques; constructing a cultivation knowledge graph by parsing the source of information regarding farm cultivation techniques, using natural language processing; identifying cultivation quality assessment factors by applying machine learning to the cultivation knowledge graph; estimating quality of a farm cultivation task by comparing a stream of real-time data to the cultivation quality assessment factors, wherein the stream of real-time data is related to performance of the farm cultivation task; identifying from the stream of real-time data, using the cultivation knowledge graph, a controllable variable that affects the quality of the farm cultivation task; and improving the quality of the farm cultivation task by facilitating a change in the controllable variable. The controllable variable may be the identity of a tractor operator.
-
公开(公告)号：US11682474B2
公开(公告)日：2023-06-20
申请号：US16218434
申请日：2018-12-12
发明人： Komminist Weldemariam , Srihari Sridharan , Geoffrey Henry Siwo , Nelson Kibichii Bore , Solomon Assefa
摘要： A first set of user data is received and a user profile is constructed based on the user data and in accordance with a sensitive service involving the user. A situational context is analyzed based on the first set of data. Personalized questions are generated, responsive to the user profile and to the situational context. The personalized questions are presented to a user corresponding to the user data and responses to same are received, including detection of user micro-expressions. The responses are analyzed, according to one or more machine learning models. A neural network model selects an action to be performed in response to analyzing the responses from the user; the action is a sensitive service involving the user. An apparatus is triggered to send a simple message service (SMS) message to a point of care service professional; the message recommends performance of the sensitive service on the user.
-
公开(公告)号：US11563727B2
公开(公告)日：2023-01-24
申请号：US17020753
申请日：2020-09-14
IPC分类号： H04L29/06 , H04W4/14 , G06F16/23 , G06F40/253 , G06F40/279 , G06N20/00 , H04L9/40
摘要： Receive a transaction generated by a user of a non-internet application; identify transaction life cycle steps of previous similar transactions; and generate a transaction risk score for the transaction using machine learning models and a blockchain record of the previous similar transactions. In response to the transaction risk score exceeding a threshold value, authenticate the transaction and the user using two-step authentication. The two-step authentication uses challenge/answer templates derived from the blockchain record of previous transactions.
-
公开(公告)号：US20210125035A1
公开(公告)日：2021-04-29
申请号：US16665633
申请日：2019-10-28
摘要： In an aspect, a decision platform that optimizes honey value chain can be provided. The decision platform may receive images of a geographic region including catchment areas, run a first machine learning model with the images as input to identify resources in the catchment areas, run a second machine learning model with the identified resources to predict pollen and nectar concentration in the catchment areas, run a third machine learning model with at least the predicted pollen and nectar concentration to predict honey yield in each of the catchment areas, and determine placement of a swarm to at least one of the catchment areas. The decision platform may also control an unmanned aerial vehicle to guide the swarm to at least one of the catchment areas.
-
公开(公告)号：US20210068334A1
公开(公告)日：2021-03-11
申请号：US16565457
申请日：2019-09-09
发明人： Juliet Mutahi , David W. Kaguma , Samuel Maina Karumba , Nelson Kibichii Bore , Percival Silva de Lucena , Andrew Kinai , Komminist Weldemariam , Peninah M. Waweru
摘要： A memory embodies instructions, and a processor is coupled to the memory and is operative by the instructions to facilitate: accessing a source of information regarding farm cultivation techniques; constructing a cultivation knowledge graph by parsing the source of information regarding farm cultivation techniques, using natural language processing; identifying cultivation quality assessment factors by applying machine learning to the cultivation knowledge graph; estimating quality of a farm cultivation task by comparing a stream of real-time data to the cultivation quality assessment factors, wherein the stream of real-time data is related to performance of the farm cultivation task; identifying from the stream of real-time data, using the cultivation knowledge graph, a controllable variable that affects the quality of the farm cultivation task; and improving the quality of the farm cultivation task by facilitating a change in the controllable variable. The controllable variable may be the identity of a tractor operator.
-
公开(公告)号：US20220086131A1
公开(公告)日：2022-03-17
申请号：US17020753
申请日：2020-09-14
IPC分类号： H04L29/06 , G06F16/23 , G06N20/00 , H04W4/14 , G06F40/253 , G06F40/279
摘要： Receive a transaction generated by a user of a non-internet application; identify transaction life cycle steps of previous similar transactions; and generate a transaction risk score for the transaction using machine learning models and a blockchain record of the previous similar transactions. In response to the transaction risk score exceeding a threshold value, authenticate the transaction and the user using two-step authentication. The two-step authentication uses challenge/answer templates derived from the blockchain record of previous transactions.
-
公开(公告)号：US11270189B2
公开(公告)日：2022-03-08
申请号：US16665633
申请日：2019-10-28
摘要： In an aspect, a decision platform that optimizes honey value chain can be provided. The decision platform may receive images of a geographic region including catchment areas, run a first machine learning model with the images as input to identify resources in the catchment areas, run a second machine learning model with the identified resources to predict pollen and nectar concentration in the catchment areas, run a third machine learning model with at least the predicted pollen and nectar concentration to predict honey yield in each of the catchment areas, and determine placement of a swarm to at least one of the catchment areas. The decision platform may also control an unmanned aerial vehicle to guide the swarm to at least one of the catchment areas.
-
-
-
-
-
-
搜索结果
7 条记录 (耗时 0.015 秒)
