James Gross

KTH Royal Institute of Technology

Sweden

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Articles (17)

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2025

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2025

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2025

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (6)

Vishnu Narayanan Moothedath

KTH Royal Institute of Technology

SWEDEN

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Tobias Oechtering

Professor

KTH Royal Institute of Technology

SWEDEN

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Hans-Peter Nee

KTH Royal Institute of Technology

SWEDEN

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Manuel Olguín Muñoz

KTH Royal Institute of Technology

SWEDEN

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Magnus Jansson

KTH Royal Institute of Technology

SWEDEN

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Staffan Norrga

KTH Royal Institute of Technology

SWEDEN

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James Gross

Research Interests

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Articles (17)

Channel Prediction Using Deep Recurrent Neural Network With EVT-Based Adaptive Quantile Loss Function

Wireless-Aware TSN Engineering: Implications for 5G and Upcoming 6G Networks

ML-Based Fault Management Automation in Large-Scale Fixed and Mobile Telecommunication Networks

Emulating Reactive Workloads for Cyber-Human Systems: A Data-Driven Methodology

Predictability of Performance in Communication Networks Under Markovian Dynamics

Timeliness of CSMA/CA-Based Wireless Networks With HARQ in the FBL Regime: Explicit Age Characterizations and Resource Allocation

Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge

Using Reappraisal to Improve Outcomes for STEM Teachers and Students

Energy Efficient Sampling Policies for Edge Computing Feedback Systems

Wireless Control of Modular Multilevel Converter Submodules With Communication Errors

Wireless Communication in Modular Multilevel Converters and Electromagnetic Interference Characterization

Energy Minimization of Mobile Edge Computing Networks With HARQ in the Finite Blocklength Regime

Detecting State Transitions of a Markov Source: Sampling Frequency and Age Trade-off

Scheduling of Wireless Edge Networks for Feedback-Based Interactive Applications

Wireless Control of Modular Multilevel Converter Submodules

Minimum Achievable Peak Age of Information Under Service Preemptions and Request Delay

Coordinates-Based Resource Allocation Through Supervised Machine Learning

Collaborators (6)

Vishnu Narayanan Moothedath

Tobias Oechtering

Hans-Peter Nee

Manuel Olguín Muñoz

Magnus Jansson

Staffan Norrga

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