№ files_lp_4_process_2_84183
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Technical contribution to a 3GPP SA5 meeting describing proposed enhancements to intent reporting in telecommunications network management specifications to include detailed statistical information on expectation satisfaction beyond average KPI values.
Year:
2026
Dates:
9–13 February 2026
City:
Goa
Country:
India
Event:
3GPP TSG SA5 Meeting #165
Organization:
3GPP
Source:
Huawei
Agenda item:
6.20.1
Specification:
3GPP TR 28.881
Version:
1.0.0
Work Item:
FS_IDMS_MN_Ph4
Document type:
Technical contribution
Subject:
Intent expectation satisfied information
Technical domain:
Telecommunication network management
Related specification:
3GPP TS 28.312
Purpose:
Approval
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2026
Jurisdiction:
Middle District of North Carolina, United States
Case Number:
XX-XXXXX
Chapter:
13
Type of Document:
Court Order
Court:
United States Bankruptcy Court
Debtor:
XXXXXXXXXXXXX
Creditor:
Not specified
Related Property:
Not specified
Rule Referenced:
Federal Rules of Bankruptcy Procedure Rule 5009(d)
Date of Plan Confirmation:
Not specified
Date of Discharge:
Not specified
Purpose:
Satisfaction of secured claim and release of lien
Year:
2026
Location:
Goa, India
Subject:
5G network management and digital twin interactions
Document type:
Technical report / 3GPP contribution
Organization:
3GPP TSG-SA5
Author:
Ericsson
Agenda item:
6.20.1
Specification:
3GPP TR 28.881
Version:
1.0.0
Work item:
FS_IDMS_MN_Ph4
Target audience:
3GPP working group members
Date of meeting:
9-13 February 2026
Use case:
#18 - Relation and interactions between intent handling function and NDTFunction
Related work:
WT-5.1
Year:
2023
Region / City:
USA
Topic:
Cybersecurity Services, Risk Assessment, Vulnerability Testing
Document Type:
Template
Agency/Institution:
HACS
Author:
HACS
Target Audience:
Federal Agencies, Contractors
Period of Action:
N/A
Approval Date:
N/A
Modification Date:
N/A
Year:
2022
Subject:
Machine Learning, Ensemble Methods, Unsupervised Learning
Document Type:
Educational Unit / Lecture Notes
Author:
Not specified
Target Audience:
Students and researchers in machine learning
Techniques Covered:
Model combination, Voting schemes, Bagging, Boosting, Stacking, K-means clustering, K-nearest neighbors, Gaussian mixture models, Expectation maximization
Scope:
Theoretical explanation of ensemble learning and unsupervised methods, including algorithm generation and combination strategies
Note:
Year
Theme:
Education
Document Type:
Guidelines
Organization / Institution:
LKSD
Target Audience:
Students, Educators, School Administrators
Context:
Guidelines for meeting graduation requirements and expectations, including credit specifications and substitutions, within the LKSD school district.
Note:
Year
Subject:
Internship, Employment, Education
Document Type:
Agreement
Institution:
University of Exeter
Author:
University of Exeter
Target Audience:
Students, Faculty, Services
Period of Validity:
Internship Duration
Year:
2018
Region / City:
London, United Kingdom
Topic:
Social Change, Aging Society, Research Collaboration
Document Type:
Seminar Invitation
Organization:
Ritsumeikan University, SOAS University of London
Speakers:
Roh Cho, Hikaru Seno, Shuhei Okabe, Tetsuo Yoshimoto, Takeshi Hashimoto, Ryutaro Mihara
Target Audience:
Researchers, Academics, Students
Date of Event:
06 November 2018
Time:
16:30 – 18:00
Date of Last Update:
Not Provided
Language:
English
Access:
Free of charge, registration required
Description:
Seminar discussing the implications of aging society and potential social changes, presented by young researchers from Japan and the UK.
Author:
Douglas Howcroft
Affiliation:
Nottingham University Business School
Country / Region:
United Kingdom; Ireland
Academic field:
Accounting education; Management accounting
Research topic:
Expectation gaps between professional bodies, university educators and employers regarding graduate skills in management accountancy
Type of document:
Academic research paper
Research method:
Stakeholder interviews and survey of university accounting educators
Organizations discussed:
Chartered Institute of Management Accountants (CIMA); UK and Irish business schools
Target group:
University accounting educators; professional accounting bodies; employer organizations; graduate trainee management accountants
Keywords:
university accounting education; expectation gaps; vocational skills; educational objectives
Purpose:
Examination of differing expectations regarding essential knowledge and skills required of graduate trainee management accountants
Context:
Debate on the role of higher education in preparing graduates for professional accounting practice
Year:
2008-2021
Region / city:
Not specified
Subject:
Blinding effectiveness in clinical trials
Document type:
Research overview
Institution:
Not specified
Author:
Various
Target audience:
Researchers and healthcare professionals
Period of validity:
Not specified
Approval date:
Not specified
Date of amendments:
Not specified