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Anke Schmeink (1978-)

Informatikerin

Name	Anke Schmeink
Time	1978- (Date of birth and death)
Place	Deutschland
Gender	weiblich
Academic degree	Prof. Dr.-Ing.
Profession	Informatikerin (characteristic profession) Mathematikerin
Variant	Anke Feiten (früherer Name)
Further information	seit 10/2012 Professorin an Zentrum für Ultra High-Speed Mobile Information and Communication (UMIC) der RWTH Aachen
Record type	Person
GND-Identifier	173860036
Record ID	173860036
Involved in show all 6G PHY: Insights From 6G-ANNA Research Initiative Künstliche Intelligenz in der Psychotherapie – Einstellungen und Kompetenzen ärztlicher und psychologischer Psychotherapeuten Advanced deep learning approaches and potentials in the construction sector Concurrent shape and controller optimization of autonomous underwater vehicles for path following tasks using evolutionary algorithm-driven reinforcement learning Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks Neuro-inspired hardware acceleration for efficient biomedical signal processing in mobile sensing devices UR-EARL: A framework for designing underwater robots using evolutionary algorithm-driven reinforcement learning Federated deep reinforcement learning based trajectory design for UAV-assisted networks with mobile ground devices Security-aware energy-efficient design for mobile edge computing network operating with finite blocklength codes Design and implementation of a private and efficient recommender system for patients in the intensive care unit using deep neural networks Federated deep reinforcement learning based trajectory design for UAV-assisted networks with mobile ground devices Fog Computing Meets URLLC : Energy Minimization of Task Partial Offloading for URLLC Services Medical image segmentation: the potential of convoluational neural networks and transformers Modelling and optimization in indoor wireless networks and electric vehicle infrastructure Security-aware energy-efficient design for mobile edge computing network operating with finite blocklength codes Smart Summary: A Distributed Medical Recommender System for Patients in the ICU Using Neural Networks Towards holonic power and energy systems – A novel ICT architecture as enabler for resilience Towards holonic power and energy systems : a novel ICT architecture as enabler for resilience Speaker identification and localization using shuffled MFCC features and deep learning Computational Complexity and Delay Reduction for RLNC Single and Multi-hop Communications Energy Scheduling for a DER and EV Charging Station Connected Microgrid With Energy Storage Fairness-Aware Resource Allocation in Multi-Source WPCN in the Finite Blocklength Regime Multi-Agent Reinforcement Learning for Interactive Decision-Making Performance modelling and optimal design in UAV-connected wireless networks Speaker identification and localization using shuffled MFCC features and deep learning Two-stage visual speech recognition for intensive care patients Using machine learning in the medical field : speaker signal processing and distributed learning systems A Novel Hybrid Methodology for Anomaly Detection in Time Series A Novel Hybrid Methodology for Anomaly Detection in Time Series Allocations and schemes : performance enhancements for ultra-reliable and low-latency networks Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models : Comparative Study Reliability-Oriented Design Framework in NOMA-Assisted Mobile Edge Computing Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care Optimization of clean, centralized cloud enabled networks Optimization of unmanned aerial vehicle augmented ultra-dense networks Corrigendum: Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-in-Silico Approach Combining Experiments and Machine Learning A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study Efficient Implementation of Density Evolution for Punctured Polar Codes On deploying vehicular communication at the developing seaport and related innovation success impediments On the efficient signal processing and positioning schemes for wireless sensor networks Online Offline Learning for Sound-Based Indoor Localization Using Low-Cost Hardware Resource allocation for ultra-reliable low latency communications in sparse code multiple access networks Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning Massive MIMO : system design aspects and applications Prognose von Wärmeverbräuchen: Stolpersteine und Lösungen Challenges of Tagging Goods in Supply Chains and a Cloud Perspective with Focus on Some Transitional Economies Employing Wireless Networks in Enhancing Occupational Safety at the Developing Seaport - Two Proposals Performance of relaying : infinite blocklength regime vs. finite blocklength regime Equal rate resource allocation for multiuser OFDM Saddle-Point Properties and Nash Equilibria for Channel Games Saddle point properties and Nash equilibria for channel games

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Katalog der Deutschen Nationalbibliothek

Anke Schmeink (1978-)

6G PHY: Insights From 6G-ANNA Research Initiative

Künstliche Intelligenz in der Psychotherapie – Einstellungen und Kompetenzen ärztlicher und psychologischer Psychotherapeuten

Advanced deep learning approaches and potentials in the construction sector

Concurrent shape and controller optimization of autonomous underwater vehicles for path following tasks using evolutionary algorithm-driven reinforcement learning

Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks

Neuro-inspired hardware acceleration for efficient biomedical signal processing in mobile sensing devices

UR-EARL: A framework for designing underwater robots using evolutionary algorithm-driven reinforcement learning

Federated deep reinforcement learning based trajectory design for UAV-assisted networks with mobile ground devices

Security-aware energy-efficient design for mobile edge computing network operating with finite blocklength codes

Design and implementation of a private and efficient recommender system for patients in the intensive care unit using deep neural networks

Federated deep reinforcement learning based trajectory design for UAV-assisted networks with mobile ground devices

Fog Computing Meets URLLC : Energy Minimization of Task Partial Offloading for URLLC Services

Medical image segmentation: the potential of convoluational neural networks and transformers

Modelling and optimization in indoor wireless networks and electric vehicle infrastructure

Security-aware energy-efficient design for mobile edge computing network operating with finite blocklength codes

Smart Summary: A Distributed Medical Recommender System for Patients in the ICU Using Neural Networks

Towards holonic power and energy systems – A novel ICT architecture as enabler for resilience

Towards holonic power and energy systems : a novel ICT architecture as enabler for resilience

Speaker identification and localization using shuffled MFCC features and deep learning

Computational Complexity and Delay Reduction for RLNC Single and Multi-hop Communications

Energy Scheduling for a DER and EV Charging Station Connected Microgrid With Energy Storage

Fairness-Aware Resource Allocation in Multi-Source WPCN in the Finite Blocklength Regime

Multi-Agent Reinforcement Learning for Interactive Decision-Making

Performance modelling and optimal design in UAV-connected wireless networks

Speaker identification and localization using shuffled MFCC features and deep learning

Two-stage visual speech recognition for intensive care patients

Using machine learning in the medical field : speaker signal processing and distributed learning systems

A Novel Hybrid Methodology for Anomaly Detection in Time Series

A Novel Hybrid Methodology for Anomaly Detection in Time Series

Allocations and schemes : performance enhancements for ultra-reliable and low-latency networks

Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models : Comparative Study

Reliability-Oriented Design Framework in NOMA-Assisted Mobile Edge Computing

Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care

Optimization of clean, centralized cloud enabled networks

Optimization of unmanned aerial vehicle augmented ultra-dense networks

Corrigendum: Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-in-Silico Approach Combining Experiments and Machine Learning

A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study

Efficient Implementation of Density Evolution for Punctured Polar Codes

On deploying vehicular communication at the developing seaport and related innovation success impediments

On the efficient signal processing and positioning schemes for wireless sensor networks

Online Offline Learning for Sound-Based Indoor Localization Using Low-Cost Hardware

Resource allocation for ultra-reliable low latency communications in sparse code multiple access networks

Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning

Massive MIMO : system design aspects and applications

Prognose von Wärmeverbräuchen: Stolpersteine und Lösungen

Challenges of Tagging Goods in Supply Chains and a Cloud Perspective with Focus on Some Transitional Economies

Employing Wireless Networks in Enhancing Occupational Safety at the Developing Seaport - Two Proposals

Performance of relaying : infinite blocklength regime vs. finite blocklength regime

Equal rate resource allocation for multiuser OFDM

Saddle-Point Properties and Nash Equilibria for Channel Games

Saddle point properties and Nash equilibria for channel games