№ files_lp_4_process_3_105126
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The paper presents a method for channel estimation in massive MIMO systems addressing pilot contamination using a sparse Bayesian learning approach.
Year:
2021
Region / City:
Visakhapatnam, India
Topic:
Channel Estimation, Massive MIMO, Pilot Contamination
Document Type:
Research Paper
Organization / Institution:
Sanketika Vidya Parishad Engineering College
Author(s):
M. Keerthi, T. Ravi Babu, Manas Ranjan Biswal
Target Audience:
Researchers, Engineers, Academics in Communications
Period of Effectiveness:
Ongoing
Date of Approval:
Not specified
Date of Changes:
Not specified
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2026
Region / City:
Warrington, United Kingdom / Tokyo, Japan
Topic:
Radioactive Waste Management, Bayesian Statistics, Waste Classification
Document Type:
Research Paper
Institution:
National Nuclear Laboratory, Japan Atomic Energy Agency
Author:
P. Hiller, C. Pyke, K. Yoshikazu, O. Keiichi
Target Audience:
Researchers, Nuclear Industry Professionals
Period of Validity:
Ongoing
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2023
Region / City:
East Lansing, Michigan
Subject:
Nuclear Physics, Bayesian Methods
Document Type:
Research Paper
Organization / Institution:
Facility for Rare Isotope Beams, Michigan State University, Department of Physics and Astronomy, Michigan State University
Authors:
Knight, Bailey, Lalit, Sudhanva, Godbey, Kyle, Giuliani, Pablo, Nazarewicz, Witold
Target Audience:
Nuclear physicists, researchers in astrophysics
Period of Effectiveness:
N/A
Approval Date:
N/A
Modification Date:
N/A
Contextual Description:
A research paper exploring the use of heteroscedastic uncertainties in Bayesian nuclear model combination, aiming to enhance predictive performance in nuclear physics models.
Year:
2023
Region / City:
N/A
Topic:
Drug repurposing, machine learning models
Document Type:
Research article
Organization / Institution:
N/A
Author:
N/A
Target Audience:
Researchers, Data Scientists
Effective Period:
N/A
Approval Date:
N/A
Modification Date:
N/A
Description of Document:
A research article comparing the performance of different machine learning models in predicting drug-disease approval likelihood using various optimization techniques and cross-validation methods.
Year:
2026
Region / City:
Not specified
Topic:
Lung cancer morphology and survival analysis
Document Type:
Research Supplement
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers, oncologists
Period of Action:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2020
Region / city:
N/A
Topic:
Statistical Modeling
Document Type:
Research Supplement
Organization / Institution:
N/A
Author:
N/A
Target Audience:
Researchers in Statistical Modeling and Fisheries Science
Period of Validity:
N/A
Approval Date:
N/A
Modification Date:
N/A
Methodology:
Bayesian Mixture Model
Modeling Software:
JAGS, R
Code:
Provided
Note:
Context
Year:
2022
Author:
Dr. James Theimer
Organization:
Homeland Security Community of Best Practices
Distribution:
Approved for public release; distribution unlimited
Contract:
FA8075-18-D-0002, Task FA8075-21-F-0074
Location:
Wright-Patterson Air Force Base, Ohio, USA
Version:
1, FY22
Keywords:
Bayesian statistics, Model checking, Model assessment
Case Number:
88ABW-2022-0916
Publication Date:
30 November 2022
Intended Audience:
DHS workforce, program managers, T&E practitioners
Content Type:
Technical report
Method:
Box model-checking criterion
Year:
2015
Region / City:
N/A
Subject:
Bayesian Model Averaging, Structural Equation Modeling
Document Type:
Package Documentation
Organization / Institution:
N/A
Author:
Chansoon Lee, David Kaplan
Target Audience:
Researchers, Data Scientists, Statisticians
Validity Period:
N/A
Approval Date:
N/A
Date of Changes:
N/A
URL:
http://bise.wceruw.org/publications.html
References:
Kaplan, D., Lee, C. (2015). Bayesian Model Averaging Over Directed Acyclic Graphs With Implications for the Predictive Performance of Structural Equation Models. Structural Equation Modeling.
Description:
Bayesian Model Averaging (BMA) applied to Structural Equation Modeling, expanding upon previous work by Madigan et al. and Raftery et al. with a focus on directed acyclic graphs.
Year:
2023
Region / City:
Suzhou, China
Topic:
Kawasaki Disease, Retreatment Strategies
Document Type:
Research Study
Authors:
Jiyu Li, Xichen Zhong, Ye Chen, Yunjia Tang, Qiuqin Xu, Guanghui Qian, Ying Liu, Shuhui Wang, Haitao Lv, Xuan Li
Target Audience:
Researchers, Healthcare Professionals, Cardiologists
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2026
Region:
International
Subject:
Bayesian statistical modeling, age estimation
Document type:
Code repository / Technical documentation
Institution:
Independent research compilation
Author:
Not specified
Intended audience:
Statisticians, data analysts, demographers
Programming language:
R
Number of functions:
6
Methods included:
GompertzFit, Survivorship, TA, HPDR, MHPDRCI, MHPDRMR
Data requirements:
Age-at-death datasets, age indicator datasets
Dependencies:
survival, optimx, VGAM, nleqslv R packages
License:
Not specified
Year:
2012
Authors:
Galina Lipton, MD; Maria F. McMahon MS, RN, cPNP-AC; Anne Stack, MD
Reviewed by:
Herminia Shermont, MS, RN, CNA, BC
Approved by:
David P. Mooney, MD, MPH; Steven Sloan, MD
Type of Document:
Clinical protocol
Target Audience:
Medical staff in emergency and trauma care
Scope:
Patients requiring rapid high-volume blood transfusion due to massive hemorrhage
References:
Technical Manual, 18th ed. American Association of Blood Banks, 2014; Holcomb JB et al., JAMA 2015, 313(5):471-82
Date of Origin:
09/01/2012
Year:
2015
Region / City:
Manitoba
Theme:
Medical Simulation, Gastrointestinal Bleeding
Document Type:
Medical Scenario
Institution:
University of Manitoba
Author:
Cheryl ffrench
Target Audience:
Juniors (PGY 1–2), Seniors (PGY ≥ 3), All Groups
Period of Validity:
Not specified
Date of Approval:
Not specified
Date of Changes:
Not specified
Note:
Year
Region / City:
UK
Topic:
ADHD, Adult Mental Health, Healthcare Policy
Document Type:
Letter
Target Audience:
Government Officials, Healthcare Providers, Policymakers
Context:
Letter advocating for reducing the waiting time for ADHD diagnosis and treatment in adults in the UK.
Year:
2026
Region / City:
Goa, India
Topic:
Security, Messaging
Document Type:
Draft
Organization:
3GPP
Author:
Ericsson
Target Audience:
Technical Experts, Network Engineers
Period of Validity:
Not specified
Approval Date:
Not specified
Change Date:
Not specified
Work Item:
SECHAND
Agenda Item:
5.1.1
Spec:
3GPP TS 33.502
Version:
v1.0.0
Note:
Description
Year:
Unknown
Location:
Atriean Empire
Topic:
Advanced Computing and Data Transfer
Document Type:
Narrative / Science Fiction Excerpt
Organization:
Atriean Research Facility
Characters:
Viks, Impal, Anri, Orza, Katel, Zia, Bregman, Galya, Mores
Technologies Described:
Semi-parallel processors, molecular data buffers, microelectronics systems
Timeframe:
Near-future within fictional setting
Setting:
Research facility and spacecraft
Challenges:
System design limitations, construction methods, risk management
Year:
2026
Location:
Goa, India
Organization:
3GPP TSG SA WG 1
Document type:
Meeting report / Draft specification update
Subject:
6G Massive Communication requirements
Agenda item:
8.1.7
Draft specification:
3GPP TR 22.870 v1.1.0
Contact:
Xiaonan Shi, Jean Trakinat
Purpose:
Approval of proposed changes
Source reference:
S1-261044, S1-254297
Related companies:
ZTE, Nokia
Content:
Consolidated Potential Requirements (CPRs) for inclusion into draft TR 22.870
Contextual description:
Meeting report detailing proposed updates to Table 14.1.13-1 for Massive Communication requirements in 6G, including wide-area coverage, emergency services, and support for low-complexity devices.
Year:
2026
Location:
Goa, India
Topic:
Massive Communication KPIs
Document Type:
Meeting Contribution / Draft Specification
Organization:
3GPP TSG SA WG1
Author / Contact:
Feifei Lou, Nokia
Agenda Item:
8.1.7
Purpose:
Approval of KPI table updates
Related Documents:
S1-261127, S1-254322, S1-254423, S1-260045
Revision:
v1.1.0.1
Technical Standard:
3GPP TR 22.870
Year:
2018
Region / City:
Canada
Topic:
Indigenous Studies
Document Type:
Course Description
Organization / Institution:
University of Alberta
Instructor:
Dr. Paul Gareau
Target Audience:
General Public, Students
Course Duration:
12 weeks
Start Dates:
February 19, 2018; March 19, 2018; April 16, 2018; May 14, 2018; June 11, 2018; July 9, 2018
Course Format:
Online, Video Lectures, Readings, Quizzes
Language:
English
Credits:
Not required for completion, Certificate available
Cost:
Free (with paid certificate option)
Registration:
Online via Coursera
Syllabus Link:
Course Syllabus
Glossary Link:
Glossary
Privacy Policy Link:
Privacy Policy
Year:
2026
Location:
Goa, India
Organization:
3GPP TSG SA WG 1
Type of document:
Meeting contribution / Technical specification draft
Author / Contributor:
Nokia (Moderator), Feifei Lou
Agenda item:
8.1.7
Document purpose:
Approval
Reference documents:
S1-261127, S1-254322, S1-254423, S1-260045
Scope:
Massive communication KPI consolidation, M-IoT profiles, Smart Grid monitoring and software updates
Notes:
Includes editorial alignment, Huawei proposal as alternative, KPI table updates
Meeting number:
113
Draft specification:
3GPP TR 22.870 v1.1.0.1
Contact:
[email protected]