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ORCIDFrank Alexander Kraemer
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- affiliation: Norwegian University of Science and Technology (NTNU), Department of Information Security and Communication Technology, Trondheim, Norway
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Journal Articles
- 2024
[j13]Abdulmajid Murad
, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Uncertainty-aware autonomous sensing with deep reinforcement learning. Future Gener. Comput. Syst. 156: 242-253 (2024)- 2023
- [j12]Frank Alexander Kraemer, Hafiz Areeb Asad, Kerstin Bach, Bernd-Christian Renner:
Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy. IEEE Access 11: 38417-38425 (2023) - [j11]Tiago Veiga, Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach:
Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications. Future Gener. Comput. Syst. 142: 4-13 (2023) - 2021
- [j10]Anders Eivind Braten, Frank Alexander Kraemer, David Palma:
Autonomous IoT Device Management Systems: Structured Review and Generalized Cognitive Model. IEEE Internet Things J. 8(6): 4275-4290 (2021) - [j9]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors 21(23): 8009 (2021) - 2020
- [j8]Oihane Gómez-Carmona, Diego Casado-Mansilla, Frank Alexander Kraemer, Diego López-de-Ipiña, Javier García-Zubía:
Exploring the computational cost of machine learning at the edge for human-centric Internet of Things. Future Gener. Comput. Syst. 112: 670-683 (2020) - [j7]Frank Alexander Kraemer, David Palma, Anders Eivind Braten, Doreid Ammar:
Operationalizing Solar Energy Predictions for Sustainable, Autonomous IoT Device Management. IEEE Internet Things J. 7(12): 11803-11814 (2020) - 2017
- [j6]Frank Alexander Kraemer, Anders Eivind Braten, Nattachart Tamkittikhun, David Palma:
Fog Computing in Healthcare-A Review and Discussion. IEEE Access 5: 9206-9222 (2017) - 2013
- [j5]Vidar Slåtten, Peter Herrmann, Frank Alexander Kraemer:
Model-Driven Engineering of Reliable Fault-Tolerant Systems - A State-of-the-Art Survey. Adv. Comput. 91: 119-205 (2013) - 2011
- [j4]Frank Alexander Kraemer, Surya Bahadur Kathayat, Rolv Bræk:
Unified Modeling of Service Logic with User Interfaces. Int. J. Cooperative Inf. Syst. 20(2): 177-200 (2011) - [j3]Linda Ariani Gunawan, Michael Vogel, Frank Alexander Kraemer, Sebastian Schmerl, Vidar Slåtten, Peter Herrmann, Hartmut König:
Modeling a distributed intrusion detection system using collaborative building blocks. ACM SIGSOFT Softw. Eng. Notes 36(1): 1-8 (2011) - 2009
- [j2]Frank Alexander Kraemer, Vidar Slåtten, Peter Herrmann:
Tool support for the rapid composition, analysis and implementation of reactive services. J. Syst. Softw. 82(12): 2068-2080 (2009) - 2007
- [j1]Frank Alexander Kraemer, Peter Herrmann:
Transforming Collaborative Service Specifications into Efficiently Executable State Machines. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 6 (2007)
Conference and Workshop Papers
- 2023
- [c34]Tiago Veiga, Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach:
Container-Based IoT Architectures: Use Case for Visual Person Counting. NAIS 2023 - [c33]Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach, Christian Renner:
Poster Abstract: Towards Autonomous Utility-Aware Energy Management for Energy Harvesting Devices. SenSys 2023: 534-535 - 2022
- [c32]Asbjørn Engmark Espe, Sondre Ninive Andersen, Pierluigi Salvo Rossi, Frank Alexander Kraemer, Geir Mathisen:
An Analysis of Design Parameters for Energy Management of Wireless Sensor Devices. ICIT 2022: 1-8 - [c31]Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach, Christian Renner, Tiago Santos Veiga:
Learning attention models for resource-constrained, self-adaptive visual sensing applications. RACS 2022: 165-171 - 2020
- [c30]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Information-driven adaptive sensing based on deep reinforcement learning. IOT 2020: 2:1-2:8 - 2019
- [c29]Victor Wattin Håkansson, Naveen K. D. Venkategowda, Frank Alexander Kraemer, Stefan Werner:
Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes. EUSIPCO 2019: 1-5 - [c28]Frank Alexander Kraemer, Faiga Alawad, Ida Marie Vestgøte Bosch:
Energy-Accuracy Tradeoff for Efficient Noise Monitoring and Prediction in Working Environments. IOT 2019: 14:1-14:8 - [c27]Abdulmajid Murad, Kerstin Bach, Frank Alexander Kraemer, Gavin Taylor:
IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. IOT 2019: 37:1-37:4 - [c26]Anders Eivind Braten, Frank Alexander Kraemer, David Palma:
Adaptive, Correlation-Based Training Data Selection for IoT Device Management. IoTSMS 2019: 169-176 - [c25]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. SASO 2019: 43-51 - 2018
- [c24]Dirk Ahlers, Frank Alexander Kraemer, Anders Eivind Braten, Xiufeng Liu, Fredrik Anthonisen, Patrick Driscoll, John Krogstie:
Analysis and Visualization of Urban Emission Measurements in Smart Cities. EDBT 2018: 698-701 - [c23]Adarsh Pal Singh, Vivek Jain, Sachin Chaudhari, Frank Alexander Kraemer, Stefan Werner, Vishal Garg:
Machine Learning-Based Occupancy Estimation Using Multivariate Sensor Nodes. GLOBECOM Workshops 2018: 1-6 - [c22]Anders Eivind Braten, Frank Alexander Kraemer:
Towards Cognitive IoT: Autonomous Prediction Model Selection for Solar-Powered Nodes. ICIOT 2018: 118-125 - 2017
- [c21]Frank Alexander Kraemer, Doreid Ammar, Anders Eivind Braten, Nattachart Tamkittikhun, David Palma:
Solar energy prediction for constrained IoT nodes based on public weather forecasts. IOT 2017: 2:1-2:8 - [c20]Anders Eivind Braten, Nattachart Tamkittikhun, Frank Alexander Kraemer, Doreid Ammar:
Towards cognitive device management: a testbed to explore autonomy for constrained IoT devices. IOT 2017: 41:1-41:2 - [c19]Nattachart Tamkittikhun, Amen Hussain, Frank Alexander Kraemer:
Energy Consumption Estimation for Energy-Aware, Adaptive Sensing Applications. MSPN 2017: 222-235 - 2016
- [c18]Dirk Ahlers, Patrick Driscoll, Frank Alexander Kraemer, Fredrik Anthonisen, John Krogstie:
A Measurement-Driven Approach to Understand Urban Greenhouse Gas Emissions in Nordic Cities. NIK 2016 - 2012
- [c17]Linda Ariani Gunawan, Frank Alexander Kraemer, Peter Herrmann:
Behavioral Singletons to Consistently Handle Global States of Security Patterns. DAIS 2012: 73-86 - 2011
- [c16]Linda Ariani Gunawan, Frank Alexander Kraemer, Peter Herrmann:
A Tool-Supported Method for the Design and Implementation of Secure Distributed Applications. ESSoS 2011: 142-155 - [c15]Vidar Slåtten, Frank Alexander Kraemer, Peter Herrmann:
Towards automatic generation of formal specifications to validate and verify reliable distributed systems: a method exemplified by an industrial case study. GPCE 2011: 147-156 - [c14]Frank Alexander Kraemer:
Engineering Android Applications Based on UML Activities. MoDELS 2011: 183-197 - 2010
- [c13]Frank Alexander Kraemer, Peter Herrmann:
Reactive Semantics for Distributed UML Activities. FMOODS/FORTE 2010: 17-31 - [c12]Vidar Slåtten, Frank Alexander Kraemer, Peter Herrmann:
Towards a model-driven method for reliable applications: from ideal to realistic transmission semantics. SERENE 2010: 2-11 - 2009
- [c11]Linda Ariani Gunawan, Peter Herrmann, Frank Alexander Kraemer:
Towards the Integration of Security Aspects into System Development Using Collaboration-Oriented Models. FGIT-SecTech 2009: 72-85 - [c10]Frank Alexander Kraemer, Haldor Samset, Rolv Bræk:
An Automated Method for Web Service Orchestration Based on Reusable Building Blocks. ICWS 2009: 262-270 - [c9]Frank Alexander Kraemer, Peter Herrmann:
Automated Encapsulation of UML Activities for Incremental Development and Verification. MoDELS 2009: 571-585 - [c8]Frank Alexander Kraemer, Vidar Slåtten, Peter Herrmann:
Model-Driven Construction of Embedded Applications Based on Reusable Building Blocks - An Example. SDL Forum 2009: 1-18 - [c7]Frank Alexander Kraemer:
Automatic Generation of Compatible Interfaces from Partitioned UML Activities. SDL Forum 2009: 182-199 - 2007
- [c6]Peter Herrmann, Frank Alexander Kraemer:
Design of Trusted Systems with Reusable Collaboration Models. IFIPTM 2007: 317-332 - [c5]Peter Herrmann, Frank Alexander Kraemer:
Design of Trusted Systems with Reusable Collaboration Models. IFIPTM 2007: 417 - [c4]Frank Alexander Kraemer, Rolv Bræk, Peter Herrmann:
Synthesizing Components with Sessions from Collaboration-Oriented Service Specifications. SDL Forum 2007: 166-185 - 2006
- [c3]Frank Alexander Kraemer, Peter Herrmann:
Service Specification by Composition of Collaborations--An Example. IAT Workshops 2006: 129-133 - [c2]Frank Alexander Kraemer, Peter Herrmann, Rolv Bræk:
Aligning UML 2.0 State Machines and Temporal Logic for the Efficient Execution of Services. OTM Conferences (2) 2006: 1613-1632 - 2005
- [c1]Richard Torbjørn Sanders, Humberto Nicolás Castejón Martínez, Frank Alexander Kraemer, Rolv Bræk:
Using UML 2.0 Collaborations for Compositional Service Specification. MoDELS 2005: 460-475
Editorship
- 2020
- [e2]Paul Davidsson, Marc Langheinrich, Per Linde, Simon Mayer, Diego Casado-Mansilla, Daniel Spikol, Frank Alexander Kraemer, Nancy L. Russo:
IoT '20 Companion: 10th International Conference on the Internet of Things Companion, Malmö Sweden, October 6-9, 2020. ACM 2020, ISBN 978-1-4503-8820-7 [contents] - 2011
- [e1]Frank Alexander Kraemer, Peter Herrmann:
System Analysis and Modeling: About Models - 6th International Workshop, SAM 2010, Oslo, Norway, October 4-5, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6598, Springer 2011, ISBN 978-3-642-21651-0 [contents]
Informal and Other Publications
- 2021
- [i5]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. CoRR abs/2112.02622 (2021) - 2020
- [i4]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning. CoRR abs/2010.04112 (2020) - 2019
- [i3]Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor:
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. CoRR abs/1905.04181 (2019) - 2017
- [i2]Frank Alexander Kraemer, Nattachart Tamkittikhun, Anders Eivind Braten:
Machine Learning in IoT for Autonomous, Adaptive Sensing. ERCIM News 2017(110) (2017) - 2015
- [i1]Frank Alexander Kraemer, Peter Herrmann:
Creating Internet of Things Applications from Building Blocks. ERCIM News 2015(101) (2015)
Coauthor Index
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last updated on 2024-08-05 21:15 CEST by the dblp team
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