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Pahlavan, Kaveh
Entfernen Zwang Contributor: Pahlavan, Kaveh
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Machine Learning for RF Cloud in Proximity Detection and Intelligent Spectrum Management: An Empirical Study
Stichwort:
Proximity Detection
,
Intelligent Spectrum Management
,
Machine Learning
,
Channel Modeling
,
RF Cloud
, and
Empirical Study
Schöpfer:
Su, Zhuoran
Advisor:
Islam, Bashima
,
Agu, Emmanuel
, and
Pahlavan, Kaveh
Herausgeber:
Worcester Polytechnic Institute
Datum erstellt:
2024-02-26
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Electrical & Computer Engineering
Interference Analysis Between mmWave Radars and IEEE802.11AD at 60GHz Unlicensed Bands
Schöpfer:
Cheng, Shiyu
Advisor:
Pahlavan, Kaveh
Herausgeber:
Worcester Polytechnic Institute
Datum erstellt:
2022-05-01
Resource Type:
Thesis
Degree:
MS
Enhancing Vehicular Networking Using Bumblebee Foraging Theory and Signals of Opportunity
Schöpfer:
Gill, Kuldeep
Advisor:
Wyglinski, Alexander
Herausgeber:
Worcester Polytechnic Institute
Datum erstellt:
2022-05-04
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Electrical & Computer Engineering
Machine Learning Estimation of COVID-19 Social Distance Using Smartphone Sensor Data
Stichwort:
PACT
,
COVID
,
proximity detection
,
nDCF
,
machine learning
, and
RSSI
Schöpfer:
Semenov, Oleksandr
Advisor:
Agu, Emmanuel O.
and
Pahlavan, Kaveh
Herausgeber:
Worcester Polytechnic Institute
Datum erstellt:
2021-09-04
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Electrical & Computer Engineering
Logic Design of Point Cloud Based Convolutional Neural Network Accelerators
Stichwort:
Hardware Accelerator
,
Point Cloud
, and
Logic Design
Schöpfer:
Zhang, Xiao
Advisor:
Zhang, Ziming
Herausgeber:
Worcester Polytechnic Institute
Datum erstellt:
2021-05-05
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Electrical & Computer Engineering
Three Cyberspace Applications for IoT RF Cloud in Localization, Motion Detection, and Security
Stichwort:
RF Cloud
,
RSS-based Localization
,
Internet of Things
,
Motion Detection
, and
RF-based Key Generation
Schöpfer:
Ying, Julang
Advisor:
Pahlavan, Kaveh
and
Li, Xinrong
Herausgeber:
Worcester Polytechnic Institute
Datum erstellt:
2021-05-06
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Electrical & Computer Engineering
Evaluation of Drone Based Localization Via a Real-Time Emulation Environment
Schöpfer:
Weeks-Collins, Dustin S.
Advisor:
Wyglinski, Alexander
Herausgeber:
Worcester Polytechnic Institute
Datum erstellt:
2021-05-10
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Electrical & Computer Engineering
Bluetooth Packet Capture and Analysis Using Wireless Product Testbed
Schöpfer:
Nguyen, Son
Advisor:
Wyglinski, Alexander
Herausgeber:
Worcester Polytechnic Institute
Datum erstellt:
2020-12-08
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Electrical & Computer Engineering
Age of Information in Multi-Hop Status Update Systems: Fundamental Bounds and Scheduling Policy Design
Stichwort:
Explicit Contention
,
Age of Information
,
Graph Theory
,
Multi-Hop Networks
,
Schedule Design
, and
Interference Models
Schöpfer:
Farazi, Shahab
Advisor:
Brown, Donald R.
Herausgeber:
Worcester Polytechnic Institute
Datum erstellt:
2020-06-03
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Electrical & Computer Engineering
A Novel Approach for MAC and PHY Performance Analysis in Relay Networks in Presence of Interference and Shadow Fading
Schöpfer:
Alkandari, Bader A
Advisor:
Pahlavan, Kaveh
Herausgeber:
Worcester Polytechnic Institute
Datum erstellt:
2019-09-12
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Electrical & Computer Engineering
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Masters Theses
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Schöpfer
Ahlehagh, Hasti
1
Ain-Ul-Aisha, FNU
1
Akgul, Ferit Ozan
1
Alavi, Bardia
1
Alkandari, Bader A
1
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»
Advisor
Agu, Emmanuel
1
Agu, Emmanuel O.
2
Brown, Donald R.
1
Huang, Xinming
1
Islam, Bashima
1
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Contributor
Abedi, Ali
1
Agu, Emmanuel
1
Agu, Emmanuel O.
12
Alavi, Bardia
3
Alizadeh, Farshid
1
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Contributors
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Unit (Department)
Electrical & Computer Engineering
59
Herausgeber
Worcester Polytechnic Institute
60
UN SDG
9 - Industry, Innovation and Infrastructure
1
Ressourcentyp
Thesis
31
Dissertation
29
License
https://creativecommons.org/licenses/by/4.0/
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