Reference health
Challenges in Wireless Communication Channel Characteristic Identification using Machine Learning: A Review
11/11 checkable references clean · checked 2026-07-21
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
13 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 11 checked references that resolve
resolves10.1109/ACCESS.2018.2884906
A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective
resolves10.1109/JIOT.2017.2683200
A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications
resolves10.1109/ACCESS.2018.2837692
Big Data Analytics, Machine Learning, and Artificial Intelligence in Next-Generation Wireless Networks
resolves10.1109/MWC.2016.7721743
Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios
resolves10.23919/ICN.2021.0004
Radio spectrum awareness using deep learning: Identification of fading channels, signal distortions, medium access control protocols, and cellular systems
resolves10.1109/TCOMM.2018.2881117
Learning-Aided Physical Layer Authentication as an Intelligent Process
resolves10.1109/ACCESS.2019.2942368
Multi–Dimensional Wireless Signal Identification Based on Support Vector Machines
resolves10.1109/MWC.001.2000322
Deep Learning at the Edge for Channel Estimation in Beyond-5G Massive MIMO
resolves10.1109/TCCN.2018.2881442
A Very Brief Introduction to Machine Learning With Applications to Communication Systems
resolves10.1109/ACCESS.2019.2905633
A Deep Learning Method With Filter Based Feature Engineering for Wireless Intrusion Detection System
The 13 references without a DOI — listed, not checked
no DOI — not checkedThe Internet of Things (IoT): Applications, investments, and challenges for enterprises
no DOI — not checkedBig Data Analytics for Large-scale Wireless Networks: Challenges and Opportunities
no DOI — not checkedref9
no DOI — not checkedA comprehensive survey on machine learning for networking: evolution, applications and research opportunities
no DOI — not checkedSecure Region Detection Using Wi-Fi CSI and One-Class Classification
no DOI — not checkedAbnormal Detection of Wireless Power Terminals in Untrusted Environment Based on Double Hidden Markov Model
no DOI — not checkedOutlier Detection in Indoor Localization and Internet of Things (IoT) using Machine Learning
no DOI — not checkedA Learning Approach for Physical Layer Authentication Using Adaptive Neural Network
no DOI — not checkedActive User Identification Based on Asynchronous Sparse Bayesian Learning With SVM
no DOI — not checkedref21
no DOI — not checkedDesigning a Smart Transportation System: An Internet of Things and Big Data Approach
no DOI — not checkedService-Oriented Architecture for Big Data Analytics in Smart Cities
no DOI — not checkedHis research areas are Signal Matched Filter banks: Design, Characterization and Process Modelling. Dr. Anil B. Nandgaonkar is currently working as a Professor at Department of E&TC Engineering
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work were clean at the dated check: each resolved to a known work in a public registry, and none
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