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公开(公告)号:US12131282B1
公开(公告)日:2024-10-29
申请号:US17679871
申请日:2022-02-24
发明人: Vishal Shinde
IPC分类号: G06Q10/00 , G06Q10/04 , G06Q10/083
CPC分类号: G06Q10/083 , G06Q10/04
摘要: A system and method of solving supply chain planning problems modeled as multi-objective hierarchical linear programming problems receive supply chain input data for a supply chain planning problem, solve a first multi-objective hierarchical linear programming problem, store a cumulative list of bound changes, receive changes to the supply chain input data, model a second supply chain planning problem as a second multi-objective hierarchal linear programming problem based, at least in part, on the one or more changes to the supply chain input data, derive an intermediate objective based, at least in part, on the cumulative list of bound change, and solve the second multi-objective hierarchical linear programming problem, using the basis of the solved intermediate objective.
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公开(公告)号:US20240346437A1
公开(公告)日:2024-10-17
申请号:US18387435
申请日:2023-11-06
申请人: Paul Fredrich , Michael Bifolco , Eugene Vasilchenko , Greg E. Alvo , Ofir Shalom , Federico Alvarez , Bradley Williams Groff , Eugene Kozhukalo
发明人: Paul Fredrich , Michael Bifolco , Eugene Vasilchenko , Greg E. Alvo , Ofir Shalom , Federico Alvarez , Bradley Williams Groff , Eugene Kozhukalo
IPC分类号: G06Q10/087 , G06Q10/04 , G06Q30/0202
CPC分类号: G06Q10/087 , G06Q10/04 , G06Q30/0202
摘要: Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to facilitate implementation of an interface, and, more specifically, to a computing and data storage platform that implements specialized logic to facilitate distribution of items in accordance with an automatically adaptive schedule, for example, via an interface. In some examples, a method may include predicting data representing, for example, a zone of time in which depletion of an item is predicted. The method may monitor whether to replenish the item, and transmit via a network an electronic message including one or more item characteristics associated with the item to be replenished. The method may also include receiving another electronic message, and transmitting a control message to a merchant computing system to initiate adaptive distribution to replenish the item, among other things.
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3.
公开(公告)号:US20240346433A1
公开(公告)日:2024-10-17
申请号:US18631827
申请日:2024-04-10
发明人: TOMONORI HAYASHI
IPC分类号: G06Q10/083 , G06Q10/04 , H04N1/00 , H04N1/34
CPC分类号: G06Q10/0838 , G06Q10/04 , H04N1/00832 , H04N1/346
摘要: An information processing apparatus capable of executing a predetermined process for ordering a consumable product of an image forming apparatus includes one or more processors causes the information processing apparatus to calculate a predicted consumption degree of the consumable product based on a contracted plan selected by a user from among plans for using the image forming apparatus in the predetermined process, determine whether the predicted consumption degree reaches a predetermined value, and control so as to ship the consumable product to the user in a case where it is determined that the predicted consumption degree reaches the predetermined value.
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公开(公告)号:US20240346422A1
公开(公告)日:2024-10-17
申请号:US18634929
申请日:2024-04-13
申请人: AV-Connect, Inc.
发明人: Bruce Wootton , Jacopo Guanetti , Yeojun Kim
IPC分类号: G06Q10/0637 , G06N3/092 , G06Q10/04 , G06Q10/0639
CPC分类号: G06Q10/0637 , G06N3/092 , G06Q10/04 , G06Q10/06393
摘要: A hierarchical system increases the utilization of a fleet of Battery Electric Buses (BEBs) by optimally assigning work to and providing charging strategies for the BEBs. The system includes a digital twin platform for generating behavior models for the electric vehicles, charging stations for the electric vehicles, or both; an assignment and strategy module for optimally assigning blocks and determining optimal charging strategies for the electric vehicles; and a depot parking and management module for parking and charging the electric vehicles according to optimal charging strategies. In some embodiments, the behavior models can be adjusted in real time in response to the occurrences of events.
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公开(公告)号:US12118626B2
公开(公告)日:2024-10-15
申请号:US17495573
申请日:2021-10-06
发明人: Manikandan Padmanaban , Ranjini Bangalore Guruprasad , Isaac Waweru Wambugu , Kumar Saurav , Ivan Kayongo , Jagabondhu Hazra
IPC分类号: G06Q50/02 , G06Q10/04 , G06Q30/018
CPC分类号: G06Q50/02 , G06Q10/04 , G06Q30/018 , Y02P90/84
摘要: Methods, systems, and computer program products for generating context-aware process-based model determinations for greenhouse gas emissions from agricultural fields are provided herein. A computer-implemented method includes obtaining data related to multiple conditions pertaining to at least one agricultural field; deriving one or more contextual features for one or more activities associated with the at least one agricultural field, wherein deriving the contextual feature(s) includes processing at least a portion of the obtained data using one or more activity-related models; updating one or more greenhouse gas emission estimates, pertaining to the at least one agricultural field, generated by at least one process-based model by processing at least a portion of the one or more greenhouse gas emission estimates and at least a portion of the derived contextual feature(s) using a spatio-temporal learning model; and performing one or more automated actions based on the one or more updated greenhouse gas emission estimates.
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公开(公告)号:US12118483B2
公开(公告)日:2024-10-15
申请号:US17633343
申请日:2021-05-10
申请人: SOUTHEAST UNIVERSITY
发明人: Jie Yu , Xinsen Zhang , Yang Li
IPC分类号: G06Q10/04 , G05B19/042 , G05B17/02 , G06Q50/06
CPC分类号: G06Q10/04 , G05B19/042 , G05B2219/2639
摘要: The present invention discloses a multi-device site selection method for an integrated energy virtual power plant, and belongs to the field of virtual power plants. The multi-device site selection method for an integrated energy virtual power plant includes the following steps: constructing a calculation method for calculating a comprehensive energy flow distribution entropy through power flow distribution in a power distribution network and flow distribution in a heat distribution network, to reflect energy distribution balance in an energy network; under a condition that capacity of each device is known, establishing a multi-device site selection optimal planning model of the integrated energy virtual power plant with a goal of maximizing a comprehensive energy flow distribution entropy index; and determining an installation location of each device of the integrated energy virtual power plant in the energy network, and determining an operating state of each device.
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公开(公告)号:US12117820B2
公开(公告)日:2024-10-15
申请号:US18326499
申请日:2023-05-31
申请人: OneTrust LLC
发明人: Madan Avadhani , Akhil Dandamudi
IPC分类号: G06N3/04 , G05B15/02 , G05B23/02 , G06F3/04847 , G06F40/40 , G06N3/045 , G06N7/01 , G06Q10/04 , G06Q50/06
CPC分类号: G05B23/0216 , G05B15/02 , G05B23/0213 , G06F3/04847 , G06F40/40 , G06N3/04 , G06N3/045 , G06N7/01 , G06Q10/04 , G06Q50/06
摘要: Methods, systems, and non-transitory computer readable storage media are disclosed for generating action recommendations for generating action recommendations for modifying physical emissions sources of an entity based on forecasting and monitoring emissions production for the entity utilizing machine-learning models. Specifically, the disclosed system forecasts emissions produced by an entity by utilizing a plurality of different forecasting machine-learning models corresponding to different physical emissions sources to generate forecasted source attributes. Additionally, the disclosed system combines the forecasted source attributes to generate a plurality of forecasted emissions value modifications for a future time period. The disclosed system generates action recommendations for modifying the physical emissions sources based on the forecasted emissions value modifications. In additional embodiments, the disclosed system tracks emissions of the entity during the future time period and generate additional action recommendations in response to detecting deviations from forecasted emissions production.
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公开(公告)号:US20240331012A1
公开(公告)日:2024-10-03
申请号:US18737974
申请日:2024-06-08
申请人: Walmart Apollo, LLC
IPC分类号: G06Q30/0601 , G06F16/9535 , G06F16/955 , G06Q10/04 , G06Q10/087
CPC分类号: G06Q30/0631 , G06F16/9535 , G06F16/955 , G06Q10/04 , G06Q10/087
摘要: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: determining a personal replenishment cycle for an item of a set of items previously purchased by a user; identifying that the user has stopped purchasing a first item in the set of items; removing the first item from the set of items after identifying that the user has stopped purchasing the first item; and reducing a number of database requests for the set of items previously purchased by the user based on the personal replenishment cycle for the item. Other embodiments are described.
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9.
公开(公告)号:US20240321403A1
公开(公告)日:2024-09-26
申请号:US18605776
申请日:2024-03-14
发明人: Yu TIAN , Huihang SUN , Haoran ZHANG , Yiming MENG , Nanqi REN
摘要: A method of determining nitrous oxide emission of a river based on land-river-atmosphere simulation, includes the steps of: obtaining nitrogen emission from land in each region; dividing the nitrogen emission into a prediction set and a test set; using nitrogen emission prediction set, and geographical variables and climate variables under the nitrogen emission prediction set to process RF regression model training to obtain a trained RF regression model, using nitrogen emission test set, and geographical variables and climate variables under the nitrogen emission test set to process RF regression model training to obtain a trained RF regression model, and outputting a river water quality concentration of each sub-basin in each region; obtaining river hydrological parameters of each sub-basin, inputting the river hydrological parameters and river water quality concentration of each sub-basin to an air-water interface gas exchange model to obtain a total river N2O emission in each sub-basin.
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公开(公告)号:US20240320749A1
公开(公告)日:2024-09-26
申请号:US18609626
申请日:2024-03-19
摘要: A system and method for insurance loss ratio forecasting, which utilizes faster feature reduction by blending traditional statistical method and feature importance, and applying a Boruta algorithm for further feature reduction. Final feature selection is achieved by creating a balance between Light GBM model feature importance and coverage rate. These processes are all completely automated. Faster hyperparameter tuning is achieved by applying a randomized search algorithm. In the out-of-time sample dataset and production sample dataset for an insurance loss ratio forecast, faster segmentation is conducted by applying unsupervised ML, using cosine similarity. The system is a significant technical improvement, which requires uniquely critical computer implementation and ensures that the models are stable for users, across different samples of data, without extensive fine tuning and no manual searches. In addition, the system framework is easy for non-native users to use, enabling almost anyone to build ML models.
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