DETECTION AND CLASSIFICATION OF IMPEDIMENTS

Systems and methods for detecting, classifying, and managing impediments are disclosed. For example, embodiments may be related to impediments in project management. The proposed systems and methods are configured to evaluate data harvested from multiple different sources (in different formats), ide...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Janarthanam, Balaji, Karuppasamy, Selvakuberan, Sampat, Nirav Jagdish, Jose, Anto, Gaur, Ravi Kant, Varghese, Vinu, Mitra, Saumyabrata, Srikantamurthy, Karthik, Devanathan, Ragav
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Janarthanam, Balaji
Karuppasamy, Selvakuberan
Sampat, Nirav Jagdish
Jose, Anto
Gaur, Ravi Kant
Varghese, Vinu
Mitra, Saumyabrata
Srikantamurthy, Karthik
Devanathan, Ragav
description Systems and methods for detecting, classifying, and managing impediments are disclosed. For example, embodiments may be related to impediments in project management. The proposed systems and methods are configured to evaluate data harvested from multiple different sources (in different formats), identify potential impediments that may be described or present in the data, and classify said impediments based on whether the impediment is non-technical or technical. In addition, the proposed systems implement a technical solution of active learning combined with reinforcement learning to produce a feedback loop that, over each iteration, improves the accuracy of the impediment classification. The impediment management assistant is configured to identify impediments from various inputs sources across industries with an AI-based self-learning capability, providing a robust and accurate model even with only a limited training dataset.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2023410004A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2023410004A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2023410004A13</originalsourceid><addsrcrecordid>eNrjZNB2cQ1xdQ7x9PdTcPRzUXD2cQwO9nTzdHYEC_m7KXj6Bri6ePq6-oUE8zCwpiXmFKfyQmluBmU31xBnD93Ugvz41OKCxOTUvNSS-NBgIwMjYxNDAwMDE0dDY-JUAQACUSW4</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>DETECTION AND CLASSIFICATION OF IMPEDIMENTS</title><source>esp@cenet</source><creator>Janarthanam, Balaji ; Karuppasamy, Selvakuberan ; Sampat, Nirav Jagdish ; Jose, Anto ; Gaur, Ravi Kant ; Varghese, Vinu ; Mitra, Saumyabrata ; Srikantamurthy, Karthik ; Devanathan, Ragav</creator><creatorcontrib>Janarthanam, Balaji ; Karuppasamy, Selvakuberan ; Sampat, Nirav Jagdish ; Jose, Anto ; Gaur, Ravi Kant ; Varghese, Vinu ; Mitra, Saumyabrata ; Srikantamurthy, Karthik ; Devanathan, Ragav</creatorcontrib><description>Systems and methods for detecting, classifying, and managing impediments are disclosed. For example, embodiments may be related to impediments in project management. The proposed systems and methods are configured to evaluate data harvested from multiple different sources (in different formats), identify potential impediments that may be described or present in the data, and classify said impediments based on whether the impediment is non-technical or technical. In addition, the proposed systems implement a technical solution of active learning combined with reinforcement learning to produce a feedback loop that, over each iteration, improves the accuracy of the impediment classification. The impediment management assistant is configured to identify impediments from various inputs sources across industries with an AI-based self-learning capability, providing a robust and accurate model even with only a limited training dataset.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20231221&amp;DB=EPODOC&amp;CC=US&amp;NR=2023410004A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20231221&amp;DB=EPODOC&amp;CC=US&amp;NR=2023410004A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Janarthanam, Balaji</creatorcontrib><creatorcontrib>Karuppasamy, Selvakuberan</creatorcontrib><creatorcontrib>Sampat, Nirav Jagdish</creatorcontrib><creatorcontrib>Jose, Anto</creatorcontrib><creatorcontrib>Gaur, Ravi Kant</creatorcontrib><creatorcontrib>Varghese, Vinu</creatorcontrib><creatorcontrib>Mitra, Saumyabrata</creatorcontrib><creatorcontrib>Srikantamurthy, Karthik</creatorcontrib><creatorcontrib>Devanathan, Ragav</creatorcontrib><title>DETECTION AND CLASSIFICATION OF IMPEDIMENTS</title><description>Systems and methods for detecting, classifying, and managing impediments are disclosed. For example, embodiments may be related to impediments in project management. The proposed systems and methods are configured to evaluate data harvested from multiple different sources (in different formats), identify potential impediments that may be described or present in the data, and classify said impediments based on whether the impediment is non-technical or technical. In addition, the proposed systems implement a technical solution of active learning combined with reinforcement learning to produce a feedback loop that, over each iteration, improves the accuracy of the impediment classification. The impediment management assistant is configured to identify impediments from various inputs sources across industries with an AI-based self-learning capability, providing a robust and accurate model even with only a limited training dataset.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNB2cQ1xdQ7x9PdTcPRzUXD2cQwO9nTzdHYEC_m7KXj6Bri6ePq6-oUE8zCwpiXmFKfyQmluBmU31xBnD93Ugvz41OKCxOTUvNSS-NBgIwMjYxNDAwMDE0dDY-JUAQACUSW4</recordid><startdate>20231221</startdate><enddate>20231221</enddate><creator>Janarthanam, Balaji</creator><creator>Karuppasamy, Selvakuberan</creator><creator>Sampat, Nirav Jagdish</creator><creator>Jose, Anto</creator><creator>Gaur, Ravi Kant</creator><creator>Varghese, Vinu</creator><creator>Mitra, Saumyabrata</creator><creator>Srikantamurthy, Karthik</creator><creator>Devanathan, Ragav</creator><scope>EVB</scope></search><sort><creationdate>20231221</creationdate><title>DETECTION AND CLASSIFICATION OF IMPEDIMENTS</title><author>Janarthanam, Balaji ; Karuppasamy, Selvakuberan ; Sampat, Nirav Jagdish ; Jose, Anto ; Gaur, Ravi Kant ; Varghese, Vinu ; Mitra, Saumyabrata ; Srikantamurthy, Karthik ; Devanathan, Ragav</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2023410004A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>Janarthanam, Balaji</creatorcontrib><creatorcontrib>Karuppasamy, Selvakuberan</creatorcontrib><creatorcontrib>Sampat, Nirav Jagdish</creatorcontrib><creatorcontrib>Jose, Anto</creatorcontrib><creatorcontrib>Gaur, Ravi Kant</creatorcontrib><creatorcontrib>Varghese, Vinu</creatorcontrib><creatorcontrib>Mitra, Saumyabrata</creatorcontrib><creatorcontrib>Srikantamurthy, Karthik</creatorcontrib><creatorcontrib>Devanathan, Ragav</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Janarthanam, Balaji</au><au>Karuppasamy, Selvakuberan</au><au>Sampat, Nirav Jagdish</au><au>Jose, Anto</au><au>Gaur, Ravi Kant</au><au>Varghese, Vinu</au><au>Mitra, Saumyabrata</au><au>Srikantamurthy, Karthik</au><au>Devanathan, Ragav</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>DETECTION AND CLASSIFICATION OF IMPEDIMENTS</title><date>2023-12-21</date><risdate>2023</risdate><abstract>Systems and methods for detecting, classifying, and managing impediments are disclosed. For example, embodiments may be related to impediments in project management. The proposed systems and methods are configured to evaluate data harvested from multiple different sources (in different formats), identify potential impediments that may be described or present in the data, and classify said impediments based on whether the impediment is non-technical or technical. In addition, the proposed systems implement a technical solution of active learning combined with reinforcement learning to produce a feedback loop that, over each iteration, improves the accuracy of the impediment classification. The impediment management assistant is configured to identify impediments from various inputs sources across industries with an AI-based self-learning capability, providing a robust and accurate model even with only a limited training dataset.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US2023410004A1
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title DETECTION AND CLASSIFICATION OF IMPEDIMENTS
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T22%3A29%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Janarthanam,%20Balaji&rft.date=2023-12-21&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2023410004A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true